Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Oncol., 01 October 2025

Sec. Cancer Epidemiology and Prevention

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1623895

This article is part of the Research TopicEquity in Cancer Prevention and Early DetectionView all 5 articles

Traditional medicine, environmental exposures, and cultural practices in cancer risk: insights from low- and middle-income countries

  • 1SAMRC Precision Oncology Research Unit (PORU), DSTI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, South Africa
  • 2Department of Surgery, University of the Witwatersrand, Johannesburg, South Africa
  • 3Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodepoort, South Africa
  • 4Papillon Plastic Surgery, Johannesburg, South Africa
  • 5Faculty of Humanities, Department of African Languages, University of Johannesburg, Johannesburg, South Africa
  • 6Wolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom

Cancer is a growing public health concern in low- and middle-income countries (LMICs), influenced by cultural practices, environmental exposures, and dependence on traditional medicine in addition to biological risk factors. Evidence from peer-reviewed publications published between 2010 and 2025 was combined in this narrative review. According to studies, traditional and complementary medicine (T&CM) is used by 35% to 79% of cancer patients in LMICs, which frequently delays biomedical treatment and complicates care. Over 2.4 billion people use biomass fuels for household air pollution (HAP), which has been associated with a two- to three-fold increased risk of lung cancer, especially in women. Furthermore, tobacco smoking contributes to about 2.7 million new cases of cancer in less developed areas each year, highlighting ongoing exposure to avoidable dangers. Findings show that the cancer burden in LMICs is further exacerbated by poor food storage, alcohol use, pesticide exposure, unregulated consumer chemicals, and stigma. These cultural and environmental factors must be addressed in preventative initiatives in addition to biological therapy. Strengthening T&CM regulations, enhancing food safety, upholding alcohol and tobacco legislation, lowering exposures at work and in the home, and introducing culturally-based education to dispel stigma and myths are among the top priorities. This is a narrative review rather than a systematic one; the goal is to map thematic evidence throughout Africa, Asia, and Latin America, providing insights for policy design. Integrated, context-specific, and community-driven approaches are required to eliminate inequities and promote equitable cancer control in LMICs.

1 Introduction

1.1 Background on cancer in LMICs

Cancer has become a serious global health concern because of increased mortality. Using the latest GLOBOCAN 2022 estimates (1), the global cancer burden in 2022 was ~19.90 million new cases and ~9.70 million deaths. Aggregating upper-, lower- and low-income countries (LMICs) shows they accounted for ~12.12 million incident cases (≈61% of the world total) and ~6.87 million deaths (≈71%), confirming that about 70% of cancer deaths and around 60% of new cases occur in LMICs (1). Early detection, cancer prevention, management, and treatment in high-income countries (HICs) have improved over the years. This has resulted in lower mortality and higher survival rates (2). However, this is different in low- and middle-income countries (LMICs). The World Bank’s classification of LMICs is based mostly on their gross national income (GNI) per capita. These categories are frequently used in studies on global health, development, and economics and are updated annually. According to the most recent World Bank classification, which was based on GNI per capita statistics from 2023, the GNI per capita in low-income countries is $1,135 or less per person, $1,136 to $4,465 for lower-middle-income countries. Lastly, $4,466 to $13,845 for upper-middle-income nations. Thus, LMICs encompass a broad range of economic and developmental circumstances but do not include high-income countries (3). Cancer cases in LMICs have risen sharply due to population growth and greater exposure to risk factors (4). Currently, 70% of cancer fatalities worldwide occur in LMICs, where outcomes are often poor. Furthermore, approximately 60% of new cancer diagnoses occur in LMICs (5, 6). The incidence of cancer in Africa has increased drastically in recent decades. This is due to a combination of variables, such as socioeconomic inequities, epidemiological shifts, and demographic changes (7). It is estimated that 2,000 people die of cancer daily in Africa. Furthermore, there are one million new instances of the disease each year. By 2030, this number is predicted to double (8). Because LMICs lack cancer infrastructure, early detection, and affordable treatment, survival rates remain low (9, 10). Treatment options for cancer depend on early diagnosis. However, because LMICs lack access to early detection, the mortality rates from cancer are higher than those from infectious diseases or malnutrition (10, 11). For instance, there are very few affordable and efficient breast cancer screening programs in LMICs (10).

Beyond the limitations of healthcare infrastructure, cultural practices play a significant role in shaping cancer prevention, risk, and treatment outcomes in LMICs. Traditional dietary habits, use of herbal remedies, tobacco and alcohol consumption, and reproductive behaviors contribute to cancer incidence. Cultural beliefs, stigma, and distrust of modern medicine hinder early detection and treatment efforts. Studies indicate that cultural barriers contribute to late-stage diagnoses and poorer survival rates in LMICs than in HICs (12).

Few studies have described the geographic distribution and drivers of cancer in LMICs. This is despite the rising cancer cases and death rates in these nations. Sharma et al. (13) used spatial epidemiology to analyze the cancer burden in Africa, linking socioeconomic status to cancer risk and mortality (13). Research indicates that in 2020, there were 711,429 cancer-related deaths and more than 1.1 million new cases. Figure 1 demonstrates the considerable variation in cancer incidence across the African continent, with South Africa, Nigeria, and Egypt contributing a disproportionately high proportion of cases. These patterns largely reflect underlying population distributions. These discrepancies are a result of shifting demographics, changes in risk factor exposure, and inequalities in the capacity of the healthcare system. The findings highlight the necessity of investigating how access to care, environmental exposures, and cultural practices interact to influence cancer burden in various ways across national contexts. The distribution of the cancer burden by type in Africa is shown in Figure 2, where the most important causes of total incidence are liver, prostate, cervical, and breast cancers. This distribution reflects both regional factors (e.g., liver cancer associated with aflatoxin exposure and cervical cancer owing to HPV prevalence) and global trends (e.g., the increasing incidence of breast and prostate cancer linked to urbanization and lifestyle changes). These findings highlight the significance of adjusting preventive measures to Africa’s distinct cancer profile, where environmental and infection-related malignancies continue to be more common than in high-income areas.

Figure 1
Bar chart showing cancer statistics in various African countries, including incidence, mortality, and related rates. The Gambia, Eritrea, and Equatorial Guinea have high incidence rates. Various colored bars represent incidence, ASIR, ASMR, mortality, and MIR.

Figure 1. Total cancer incidence across 54 African nations in 2020. The figure demonstrates how cancer cases are unevenly distributed over the continent, with the highest burdens seen in countries with large populations like South Africa, Nigeria, and Egypt. The necessity for customized, nation-specific prevention efforts is highlighted by these discrepancies, which reflect demographic shifts, differences in risk factor exposure, and inequalities in the capacity of the health system. ASIR, age-standardized incidence rate; AMSR, age-standardized mortality rate. This is an original figure.

Figure 2
Bar chart illustrating cancer incidence and mortality rates for various body sites. Incidence is shown in blue, mortality in orange. Penis cancer has the highest incidence, while liver cancer shows significant mortality. Additional metrics include ASIR, ASMR, and MIR with respective values of 132.1, 88.8, and 0.64.

Figure 2. Prostate, liver, cervical, and breast cancers appear as the main causes of overall incidence, reflecting both regional risks (liver cancer linked to aflatoxin exposure, cervical cancer due to HPV prevalence) and global trends (increasing breast and prostate cancer linked to urbanization and lifestyle change, for example). The image highlights the necessity of prevention strategies that combine environmental risk reduction, lifestyle change, and infection management. HPV, human papilloma virus; ASIR, age-standardized incidence rate; AMSR, age-standardized mortality rate. This is an original figure.

The mortality-to-incidence ratio (MIR) showed a strong inverse correlation with the human development index (HDI). Additionally, it was estimated that by 2040, the cancer burden in Africa will rise to 2.1 million new cases and 1.4 million fatalities. This is due to shifting demographics and population growth alone, assuming that age-specific cancer rates remain the same. The study estimated that the cancer burden will rise further by 2040. This is despite the study not having comprehensive cancer control strategies that address both biomedical and sociocultural factors implemented across Africa’s LMICs (13). According to a different study that examined the prevalence of childhood malignancies in 183 nations, LMICs bear almost 80% of the global burden of childhood cancer (12).

The incidence and death rates of cancer are rising across Asia. Mubarik et al. (14) determined the risk-attributable deaths from breast cancer and forecasted the future death risk from breast cancer in East and South Asian (ESA) nations (14). The ESA region is expected to see an increase in breast cancer-related deaths over the next ten years. Between 1990 and 2030, the age-standardized mortality rate from breast cancer is projected to rise by 35.0% in South Asia and 7.0% in East Asia. Additionally, low-to-middle socio-demographic index countries in the region have a higher risk of breast cancer death. To address the growing incidence of breast cancer in ESA nations, early detection, prompt and affordable treatment, and increased awareness are recommended (14). Another study on the prevalence of breast cancer in Asia revealed that the death rates were higher. Additionally, survival rates are poorer in LMICs across Asia because of late-stage diagnosis, a lack of screening choices, and treatment options (11).

1.2 Cultural practices and cancer

Culture is the organizational structure of life that ensures the survival and well-being of people. It helps individuals find purpose and meaning in their lives and communicate care. It was created to ensure the well-being and survival of its members. This system consists of lifestyles, values, and beliefs that allow for effective adaptation within abiotic and biotic geographic niches by utilizing accessible financial and technological resources (15). This ecological model is depicted in Figure 3, which demonstrates the interplay between biotic (genetic predisposition and infection), abiotic (environmental exposures and occupational hazards), and cultural (diet, T&CM use, and stigma) factors that affect cancer incidence and survival. This model emphasizes the need for cancer control measures to target overlapping and reinforcing determinants of health rather than relying solely on single-risk approaches.

Figure 3
Diagram illustrating the relationship between biotic, abiotic, and cultural factors impacting human health. Biotic factors include materials, food, predators, vectors, and pathogens. Abiotic factors encompass energy, climate, and materials. Cultural influences consist of technology, ideology, and social organization. These components collectively form the environment affecting human population, which is further broken down into individual organisms, tissue, cells, and DNA.

Figure 3. Ecological model of cancer risk in LMICs. The model illustrates how cancer outcomes are influenced by the interaction of biotic (genetic, infectious), abiotic (environmental, occupational, chemical), and cultural (diet, T&CM, stigma) factors. It highlights the necessity of multifaceted, integrated approaches to control and prevention. LMICs, Low- and middle-income countries; T&CM, Traditional and complementary medicine. This is an original figure.

For instance, every cultural group uses various tools to control its surroundings for shelter and food. This makes emotional and cognitive sense of the chaos of its surroundings and find institutional and interpersonal social interactions that are structured and meaningful to promote the well-being of its members. Crucially, culture offers a means of making sense of life events through its worldview or construction of reality, particularly in difficult times, such as when a person is diagnosed with cancer (16). This thinking makes illness and death easier to understand and deal with through specific values, beliefs, and customs. It influences how a person’s social network expresses concern, offers social support, and ensures safety. Additionally, it influences how one should behave emotionally and behaviorally toward an illness. Therefore, the majority of culturally prescribed and proscribed factors that affect gene expression, disease prevalence, and health status are related to diet, marital laws, social roles, and means of subsistence (17). The seven nested elements of culture that define its composition and purpose are listed in Table 1 (18).

Table 1
www.frontiersin.org

Table 1. Seven nested layers of culture in no particular order.

Therefore, culture is not just a set of values and beliefs that are interchangeable with the dominant Northern European-American culture; rather, it is a multidimensional, multilevel, dynamic, biopsychosocial, and ecological system in which a population lives (19). Cultures evolve differently because of these variables, which change and adapt dynamically in response to social, political, and geographical conditions. Any attempt to incorporate the idea of culture into medical practice needs to be evaluated both throughout time and at each level of the model (16). The distinction between the terms race, racism, ethnicity, and culture allow us to discuss their contributions to health inequalities. This also acknowledges that their interaction with other elements that make up the social determinants of well-being ultimately affects health. At best, the existing imprecision in the use of these terms leads to false assumptions about specific people (20, 21), making it difficult to understand how each notion affects cancer outcomes throughout the entire spectrum of care (22).

One of the fundamental pieces of information required for any medical visit is the social history section of the patient’s history and physical examination. By incorporating important information at all seven levels of culture (Table 1), Oncologists can better understand how culture affects the meaning and experience of cancer and its treatment for patients and their families. This is despite the fact that some aspects of culture have already been evoked in social history. Oncologists may need to spend more time during initial consultations with patients to obtain a more thorough sociocultural history. However, this extra time and effort could end up saving time by fostering a relationship of trust and allowing for a more candid discussion of the patient’s viewpoint, preferences, and cultural beliefs. The initial commitment would probably avoid many cultural miscommunications and disputes, resulting in more culturally aware and considerate cancer treatment that would eventually be more economical (16). Therefore, this review examines the relationship between cultural practices and cancer risk in LMICs, emphasizing how traditional factors such as tobacco use, alcohol use, traditional medicine use, dietary patterns, cancer myths, and stigmas increase the risk of cancer. This review also discusses cancer prevention strategies, such as policy implementation, early screening, cancer awareness, education, and funding.

Through a variety of ecological rings, including biotic, abiotic, and cultural variables, cultural practices interact with cancer risk. Aflatoxin-contaminated traditional foods in SSA are one example of how dietary practices inside the biotic ring shape microbial exposures that may influence cancer pathways (23, 24). The physical environment is captured by the abiotic ring, where activities such as burning biomass fuel indoors expose people to home air pollution, a known lung carcinogen that disproportionately affects women in rural areas (25). The cultural ring depicts societal customs and norms that influence health behaviors, such as chewing betel quid, which significantly increases the risk of oral cancer in South and Southeast Asia (26, 27).

The evidence in Sections 2 and 3 was chosen and arranged according to this ecological framework. The studies were categorized based on the ring that was most pertinent to the exposure pathway: cultural (e.g., social practices, gendered behaviors), abiotic (e.g., environmental and occupational carcinogens), and biotic (e.g., infectious agents, food exposures). This framework preserved analytic coherence across a range of exposures while guaranteeing that the review included both proximal and distal cultural factors of cancer risk.

1.3 Search strategy

This review employed a narrative synthesis approach to collect evidence on cultural behaviors, environmental exposures, and traditional medicine in connection to cancer risk in LMICs. We did electronic searches in PubMed, Web of Science, and Google Scholar between March 15 and March 30, 2025. The searches were restricted to English-language publications.

Boolean search phrases included:

(“traditional medicine” OR “complementary medicine” OR “herbal remedies”) AND (“cancer” OR “oncology”) AND (“low- and middle-income countries” OR LMIC OR Africa OR Asia OR Latin America)

(“environmental exposures” OR “household air pollution” OR “occupational hazards”) AND (“cancer risk” OR “carcinogen*”) AND (LMIC OR “developing countr*”)

Filters: Publication years 2010–2025; Article types: original research, systematic reviews, narrative reviews, and peer-reviewed policy reports.

1.3.1 Screening process

There were two stages to the screening procedure. Initially, two reviewers independently checked abstracts and titles for appropriateness. Second, the whole texts of the relevant articles were obtained and examined. Disagreements were handled by discussion, and if consensus was not established, a third reviewer adjudicated.

1.3.2 Handling of grey literature

Editorials, comments, and conference abstracts that were not subjected to peer review were not included. Nonetheless, because of their significance for exposure classification and cancer prevention policy, policy, and technical reports from significant international organizations (such as the WHO, UN, and IARC) were included where immediately pertinent.

1.3.3 Study selection outcome

Following deduplication, 437 records were found. Furthermore, 235 peer-reviewed publications were included after screening, comprising 131 policy/technical reports, 42 reviews or meta-analyses, and 62 main investigations (Figure 4).

Figure 4
Flowchart showing a review process: 437 records identified and screened, and full-text articles assessed. Of these, 235 studies included in narrative synthesis, categorized into 131 policy/technical reports, 62 primary studies, and 42 reviews/meta-analyses.

Figure 4. Flow diagram of the search and selection process. A total of 437 records were identified through database searching (2010–2025). After title and abstract screening, full-text articles were assessed for eligibility. In total, 235 studies were included in the narrative synthesis, comprising 131 policy/technical reports, 42 reviews or meta-analyses, and 62 primary studies. This is an original figure.

1.3.4 Limitations of the search

We did not follow PRISMA reporting guidelines or conduct a formal risk-of-bias assessment because this was a narrative evaluation rather than a systematic one. It is possible that pertinent material published in local languages was overlooked by limiting inclusion to English-language studies. Furthermore, inconsistent database coverage in LMIC settings could skew results in favor of research from international partnerships or higher-impact journals.

2 Examples of cultural practices contributing to cancer risk

2.1 Traditional dietary practices

Dietary habits in LMICs are influenced by cultural norms, food availability, and socioeconomic circumstances. Although many traditional diets are built on nutrient-dense whole foods, poor food preservation and storage techniques greatly increase the risk of cancer.

2.1.1 Prevalence and exposure data

The WHO-recommended maximum levels of aflatoxin (20 µg/kg) are exceeded in 25–65% of maize samples examined in sub-Saharan Africa, with contamination being highest in humid and poorly ventilated storage conditions (28, 29). Fumonisin contamination is also common; according to surveys conducted in East and Southern Africa, 40–60% of household maize samples have levels above the provisional maximum tolerated daily intake set by the Joint FAO/WHO Expert Committee on Food Additives (30).

2.1.2 Cancer risk estimates

Exposure to aflatoxin B1 is closely associated with hepatocellular carcinoma (HCC). According to a meta-analysis, those who have been exposed to high levels of aflatoxin have a 5.5 percent chance of getting HCC (95% CI: 2.9–10.5), and their risk increases when they also have a chronic hepatitis B infection (24). According to pooled data from high-exposure regions in China and South Africa, fumonisin B1 exposure has also been linked to an elevated risk of esophageal cancer, with an odds ratio (OR) of 2.3; 95% CI: 1.4–3.7 (31). These results highlight the fact that exposure to dietary carcinogens in LMICs is ubiquitous and clinically meaningful rather than accidental.

2.1.3 Feasibility and policy considerations

For food-environment interventions to be successful in LMICs, they must be culturally appropriate. According to data, using triple-layer hermetic storage bags instead of standard woven sacks can minimize aflatoxin contamination in maize by as much as 60% over six months (32). In a similar vein, research in rural East Africa has shown that solar-powered cold-chain storage for perishable commodities can reduce spoiling and fungal contamination by 30 to 50% (33). However, market incentives for aflatoxin-safe crops, cost, and conformity to conventional storage standards are necessary for adoption.

LMICs face the combined burden of undernutrition and mycotoxin-related cancers, in contrast to HICs, where obesity predominates diet-related cancer risk. To ensure that policies align with local food practices and encourage safe agricultural trade, effective interventions necessitate both technological solutions (such as enhanced storage, fortification, and cold-chain access) and cultural adaptation.

2.2 Use of herbal remedies and traditional medicine

Traditional and complementary medicine (T&CM) use is deeply entwined with the healthcare and cultural contexts of LMICs. T&CM, which has its roots in millennia of indigenous wisdom, is frequently used as a primary and supplemental method of treating cancer and other illnesses. It includes a variety of fields, including nutritional therapies, herbal remedies, and spiritual healing (34). T&CM is widely employed for cancer prevention, diagnosis, and treatment in many LMIC situations, which brings with it both potential and major obstacles.

In situations with limited resources, T&CM is often the initial course of treatment for patients. According to surveys, between 34.5% and 79% of cancer patients in sub-Saharan Africa (SSA) use T&CM, either alone or in conjunction with traditional treatments (3537). According to reports, 35% to 61% of cancer patients in Iran and Turkey seek alternative medicines, demonstrating a similarly high utilization rate (38, 39). The main causes of this dependence are cultural views, faith in traditional healers, lack of access to biomedical facilities, and financial limitations (40, 41). Although T&CM fosters community trust and offers culturally competent treatment, its uncontrolled usage is dangerous. Herbal treatments frequently lack thorough testing for toxicity, effectiveness, and pharmacokinetic interactions with traditional cancer treatments, despite claims of safety (42). Hepatotoxicity, nephrotoxicity, anemia, and severe herb–drug interactions are among the documented side effects that can make cancer patients more vulnerable (43, 44). Furthermore, patients may hide their use of T&CM from healthcare professionals out of concern for their approval, which makes risk reduction and treatment planning more difficult (42, 45). Up to 70% of patients in some areas first seek advice from traditional healers, frequently postponing biomedical treatment until the disease has progressed, which jeopardizes early identification and survival results (46, 47).

Key herbal preparations in oncology across chosen locations are summarized in Table 2 to give a better understanding of the most popular herbal medicines, their possible toxicities, and known drug–herb interactions. T&CM is still a vital healthcare tool, nevertheless, emphasizing the necessity for integrative approaches as opposed to simple rejection. To improve safety, research, and quality control in T&CM, several LMICs, such as Ghana, South Africa, Ethiopia, and Tanzania, have started implementing regulatory frameworks (48, 49). However, progress is nevertheless constrained by persistent deficiencies in practitioner training, regulatory monitoring, and scientific evidence. The development of culturally sensitive cancer control strategies should strike a balance between respect for customs and patient safety and evidence-based treatment. Priorities include organized communication between traditional and biomedical practitioners, training programs for communities and healthcare professionals, and a methodical assessment of popular herbal medicines. T&CM will continue to function mainly unregulated in the absence of such regulations, which could jeopardize cancer prevention and treatment in LMICs (34, 50).

Table 2
www.frontiersin.org

Table 2. Common herbal preparations in oncology, known toxicities, and drug–herb interactions.

2.2.1 Policy considerations for T&CM in oncology

Safety and Quality (Pharmacovigilance): Regulatory frameworks should mandate standardized quality control for herbal products, including contamination testing, consistent dosing, and post-market monitoring for adverse effects. Pharmacovigilance systems must be integrated with national cancer registries in order to monitor toxicity and herb-drug interactions.

Training and Certification: T&CM practitioners should complete official training and certification programs that emphasize safe clinical practice, toxicology recognition, and collaborative referral protocols. Certification promotes responsibility and confidence among biomedical providers.

Referral and integration models: Models range from co-located clinics to formalized referral channels in which traditional healers identify high-risk patients and collaborate with oncologists. Formal integration within national health systems promotes communication between T&CM and biomedical practitioners, shortening diagnostic delays and limiting risky therapy overlap.

By distinguishing regulating processes in these domains, LMICs can maintain T&CM’s cultural relevance while ensuring patient safety and promoting evidence-based oncology care.

2.3 Tobacco use and cancer risk

2.3.1 Tobacco use

Tobacco remains the leading preventable cause of cancer worldwide. According to GLOBOCAN 2020, tobacco use induced around 2.5 million new cancer cases (13%) and 1.8 million deaths (18%) globally in that year (51). These statistics are constant across genders and regions, while the majority of the global burden is concentrated in LMICs, which reflect both large populations and inadequate control measures (52, 53).

While global tobacco consumption has declined modestly in high-income countries (HICs) due to stringent public health policies, the burden of tobacco use is increasingly shifting toward LMICs, where over 80% of the world’s 1.3 billion tobacco users now reside (54, 55). Several variables are responsible for these changes. The tobacco industry uses aggressive marketing strategies to target LMICs, taking advantage of regulatory gaps, lax enforcement, and growing disposable incomes (56). Simultaneously, social customs and cultural norms support tobacco use, frequently normalizing smoking and smokeless tobacco use in local communities (57). For instance, despite their well-established links to pancreatic, esophageal, and oral malignancies, smokeless tobacco products such as betel quid, gutkha, and khaini are extensively used and profoundly ingrained in cultural practices in South Asia (58).

Economic inequality is also important. Low socioeconomic groups have a disproportionately high rate of tobacco use and are more likely to smoke and be at risk for tobacco-related health issues. Ironically, despite having the largest disease burden, these populations frequently have the least access to early cancer detection services and cessation support (55, 59). The World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC), adopted in 2003, has not been consistently implemented in LMICs. Owing to political opposition, worries about the effects on the economy, and ongoing corporate meddling, proven policies such as taxes, advertising bans, graphic health warnings, and smoke-free environments are frequently not strictly enforced (54, 60). There is significant potential for price-based interventions in LMICs, as evidence suggests that a 10% rise in tobacco prices can reduce tobacco use by 4–8%, especially among youth and low-income groups (60). Table 3 summarizes the distribution of tobacco-related malignancies. Importantly, the table includes all cancers in which tobacco is a risk factor (lung, bladder, head and neck, esophageal, cervical, pancreatic, stomach, kidney, etc.), not just the attributable case portion.

Table 3
www.frontiersin.org

Table 3. Tobacco-related malignancies (all sites causally linked to tobacco) and their GLOBOCAN 2020 incidence and fatality counts.

According to the data in Table 2, less developed areas have higher mortality-to-incidence ratios and account for most tobacco-related cancer cases. This is because these regions have poorer health systems, fewer treatment options, and later-stage diagnoses (61). The growing prevalence of tobacco-related malignancies in LMICs poses a threat to further increase global health inequities unless policies are implemented decisively and culturally appropriate interventions are implemented. To save millions of preventable cancer deaths, tobacco use in LMICs must be addressed using comprehensive methods that combine public education, regulatory enforcement, and culturally appropriate quitting support.

2.3.1.1 Best-buy policy measures and expected impact

WHO defines a set of “best buys” for tobacco reduction, including information-based, regulatory, and economic measures, all of which have a proven track record of success:

- Excise taxation: According to Chaloupka et al. (62), the price elasticity of demand for tobacco in LMICs normally falls between -0.4 and -0.8, which means that a 10% price rise lowers consumption by 4-6 percent. The most receptive demographics are young and low-income (62). The WHO recommends excise taxes to be at least 75% of retail prices, however only 15% of LMICs implement them despite compelling evidence (63).

- Pictorial health warnings: Large visual health warnings that take up at least half of the pack decrease initiation and enhance attempts to quit. According to meta-analyses, there is a considerable rise in both intention to quit and understanding of the hazards; the effects are more pronounced in populations with poorer baseline health literacy (64). However, a lot of LMICs have tiny, text-only labels or no visual warnings at all.

- Smoke-free laws: Complete prohibitions on smoking in public and workplaces lower secondhand smoke exposure by 80–90% in venues under observation and are linked to sharp drops in hospitalizations for respiratory disorders and acute coronary events (65). Strong mechanistic and exposure-reduction evidence supports long-term benefits, but longer follow-up is necessary for cancer outcomes. Partial exemptions are still allowed in many LMICs, which decreases their efficacy.

Millions of cancer mortalities from tobacco use could be avoided if these steps are fully implemented. The tobacco industry’s meddling, lax enforcement, and financial dependence on tobacco profits, however, prevent policy adoption in LMICs, where implementation gaps are still significant.

2.3.2 Smokeless tobacco consumption

The use of smokeless tobacco (SLT) contributes significantly to the cancer burden in LMICs, although being frequently disregarded. In contrast to smoking, SLT products are applied directly to the cheek, nasal cavity, or oral cavity, exposing nearby tissues to high levels of carcinogens (57, 66). Particularly in South and Southeast Asia, where betel quid, gutkha, and khaini are consumed as part of hospitality and everyday routines, its use is ingrained in cultural and social practices (58). The IARC has categorized SLT as carcinogenic to humans, despite the general perception that it is less harmful than smoking. SLT has a strong epidemiological association with pancreatic, pharyngeal, esophageal, and oral cavity malignancies (59, 67). For instance, regular SLT users are at least twice as likely to get oral cancer than non-users, and the risk increases further in areas where chewing betel quid is common (67).

There are other health hazards associated with SLT use. Negative outcomes such as stillbirth, low birth weight, and neonatal mortality are linked to its use during pregnancy (58). However, in LMICs, SLT regulation is still uneven. While all tobacco products are included in the WHO Framework Convention on Tobacco Control (FCTC), enforcement of the FCTC is disproportionately concentrated on cigarettes (54). By aggressively selling SLT as a safer and more socially acceptable alternative, tobacco corporations take advantage of this gap, particularly with women and young people (55, 56). Furthermore, since SLT is widely accessible and reasonably priced, it is more likely to be used by lower socioeconomic groups, who already have limited access to cancer prevention and treatment (59). Using GLOBOCAN 2020 projections (68). Table 4 shows the global incidence and mortality statistics for all malignancies associated with tobacco use (smoked and smokeless). Rather than the more limited sample of attributable cases, these numbers include all malignancies linked to tobacco smoking.

Table 4
www.frontiersin.org

Table 4. The global incidence and mortality rates for tobacco-related malignancies (smoked and smokeless), according to GLOBOCAN 2020 (68).

The necessity to broaden tobacco control measures beyond cigarettes is shown by the continuance of SLT use. High efficacy is demonstrated by WHO FCTC best-buy interventions. A 10% rise in tobacco excise taxes, for example, lowers consumption by 4% to 8%, especially among young people and those with low incomes (60). Comprehensive smoke-free regulations reduce acute coronary hospitalizations by 10–20% during the first year, with long-term advantages for cancer prevention (69). Pictorial health warnings improve quit attempts by 20–30% (54). However, due to conflicting political and economic agendas, industry meddling, and lax enforcement, LMICs have significant implementation gaps. To lessen the rising prevalence of tobacco-related malignancies in LMICs, SLT and smoked tobacco must be addressed in culturally appropriate ways.

2.4 Alcohol consumption

Alcohol consumption is a leading cause of cancer worldwide and is becoming more widely acknowledged as a serious risk factor in LMICs. It is thought to be responsible for about 4% of all new cancer cases globally each year and is closely linked to malignancies of the female breast, pharynx, larynx, liver, esophagus, colorectum, and oral cavity (23, 70, 71).

2.4.1 Cultural contexts and illicit alcohol

Drinking alcohol is ingrained in social and cultural customs in many LMICs. Commonly enjoyed outside of official regulatory frameworks are locally produced drinks, including palm wine, sorghum beer, and home-distilled spirits. WHO estimates that illicit or unrecorded alcohol accounts for 30 to 50 percent of total alcohol use in South Asia and SSA (72). Higher ethanol concentrations and impurities like methanol or acetaldehyde are commonly found in these goods, making it more difficult to estimate cancer risk and implement policies. Since a large portion of alcohol consumption takes place outside of official markets, the widespread usage of unrecorded alcohol also lessens the impact of traditional taxing schemes.

2.4.2 Policy responses and measured outcomes

Despite these limitations, there have been successful alcohol policy interventions in LMICs. For example:

Between 2002 and 2012, South Africa introduced stricter alcohol advertising restrictions and increased excise taxes, resulting in a ~16% decrease in per capita consumption and reduced alcohol-related traffic injuries and liver disease mortality (73).

Brazil implemented a comprehensive alcohol control program that included restrictions on supply, advertising bans, and increased taxes. Between 2006 and 2012, surveys revealed a decrease in heavy episodic drinking among adults from 29% to 24%, with corresponding decreases in liver cirrhosis mortality (74).

2.4.3 Implications for cancer prevention

These examples show that, even in situations with high levels of cultural embeddedness, well-executed, multifaceted methods can change consumption patterns. However, the effectiveness of traditional measures like raising the excise tax is limited by the vast informal alcohol production. Therefore, community education, gender-sensitive messaging, and systems to control or replace traditional brews must all be included in policy frameworks that target both the commercial and unrecorded alcohol markets.

In summary, the prevalence of unrecorded alcohol in LMICs creates a structural regulatory problem in addition to the biological carcinogenic risk associated with alcohol usage. The incidence of alcohol-related cancer in LMICs is expected to keep rising unless interventions are adapted to cultural norms and informal markets. Evidence from nations like Brazil and South Africa shows that focused, properly implemented interventions can lower hazardous consumption and produce quantifiable health benefits, but they must be tailored to local contexts where unrecorded alcohol use is still common.

2.5 Occupational and environmental exposures as contributors to cancer risk

2.5.1 Occupational carcinogen exposure in traditional livelihoods

2.5.1.1 Silica (stone-cutting, quarrying, small-scale mining)

Crystalline silica is known to induce lung cancer. Relative risks of lung cancer increased by up to 1.6 in the highest exposure group as compared to the lowest, according to a pooled analysis of ten occupational cohorts that demonstrated a strong exposure–response (75).

2.5.1.2 Pesticides (smallholder farming, artisanal application)

Prostate and lympho-hematopoietic cancers are associated with specific pesticide classes. A 45% higher incidence of non-Hodgkin lymphoma was found in a meta-analysis of glyphosate exposure (RR 1.45, 95% CI: 1.1–1.9) (76). Additionally, results from the Agricultural Health Study showed that licensed pesticide applicators had a higher incidence of prostate cancer (SIR 1.14, 95% CI: 1.05–1.24) (77).

2.5.1.3 Household air pollution in women engaged in home-based livelihoods

Lung cancer is closely linked to burning coal and biomass fuels for heating and cooking, especially in women. Pooled odds ratios for coal and biomass are 1.82 (95% CI: 1.60–2.06) and 1.50 (95% CI: 1.17–1.94), respectively, according to meta-analyses (78, 79). Women who used smoky coal in Xuanwei, China, had an absolute lifetime lung cancer mortality risk of 18–20%, and their hazard ratios were nearly 99 times higher than those of women who used smokeless coal (80, 81).

2.5.1.4 Artisanal and small-scale gold mining

A significant neurotoxic and systemic danger, mercury is employed extensively in ASGM. IARC classifications, however, indicate that elemental and inorganic mercury are not classifiable (Group 3) and that methylmercury compounds are potentially carcinogenic (Group 2B) (82, 83). As a result, in ASGM settings, cancer links are secondary to more extensive toxicological effects and are hence indirect.

Policy interventions must combine legislation, engineering controls, worker empowerment, and health system integration to address the wide range of occupational hazards in traditional livelihoods. A balanced approach is necessary to ensure uptake in settings with limited resources. While bans and limitations decrease the most hazardous exposures, they must be accompanied by workable alternatives, PPE finance, and culturally appropriate training. Participatory monitoring, medical surveillance, and worker cooperatives can all help to improve accountability and enforcement. A variety of alternatives that LMICs can modify based on local requirements, capabilities, and cultural contexts are shown in Table 5 below.

Table 5
www.frontiersin.org

Table 5. Policy menu for high-risk traditional occupations.

2.5.2 Cultural practices and household air pollution

In LMICs, household air pollution (HAP) from traditional cultural behaviors is a substantial but often under-recognized contributor to cancer risk. Wood, charcoal, crop leftovers, and dung are examples of biomass fuels that are still widely used for cooking and heating, particularly in low-income urban and rural homes, where modern fuels are either unavailable or prohibitively expensive (72, 84). Cooking techniques and fuel selection are heavily influenced by cultural norms. Open-fire stoves and other traditional cooking appliances are practical and have social and cultural value in many LMICs. For instance, some cuisines require lengthy simmering or smoking methods to produce the desired flavors. Subsequently, this encourages the use of biomass stoves despite the health dangers (85). Furthermore, women are typically in charge of cooking and gathering fuel in many cultures, which puts them and their children at a higher risk of long-term exposure to indoor pollutants (86). Many of the pollutants produced by burning biomass are known to induce cancer in humans, including carbon monoxide, volatile organic compounds, fine particulate matter (PM2.5), and polycyclic aromatic hydrocarbons (PAHs) (70, 87). According to epidemiological studies, HAP is strongly linked to an elevated risk of lung cancer, especially in women who spend a lot of time near traditional stoves (85). Furthermore, PAHs produced by biomass smoke have been associated with upper aerodigestive tract malignancies. This has led to a high regional burden of esophageal cancer in some regions of Asia and Africa (88).

In many LMICs, the adoption of cleaner cooking methods remains sluggish despite these known hazards. Aside from financial limitations, other obstacles include deeply ingrained cultural preferences and skepticism regarding contemporary cooking stoves. The obstacles are thought to be incompatible with customary cooking methods (84, 89). According to Rehfuess et al. (89), interventions that only address technological solutions without considering cultural factors have frequently failed to achieve sustained acceptance (89). Furthermore, household air pollution interacts with other socio-environmental factors rather than happening alone. In addition to low literacy and a lack of health information, poor ventilation in traditional households increases exposure to the carcinogenic risks associated with biomass smoke (72, 85). Transitions to safer energy options are frequently hampered by women’s limited decision-making authority within families, which perpetuates exposure and illness risk cycles (86). Integrated approaches that consider gender dynamics, economic realities, and cultural settings are needed to address home air pollution as a cancer risk factor in LMICs. Subsidized access to clean fuels, culturally relevant stove designs, community education initiatives, and gender-sensitive interventions that enable women to have a say in family energy choices should be included in policy measures. The burden of HAP-related cancers in LMICs can only be successfully decreased by using comprehensive and culturally sensitive approaches.

Interventions that substitute genuinely clean fuels like electricity, ethanol, or LPG for conventional open-fire cooking usually result in significant decreases in PM2 exposures in households, as long as the supply is consistent and use is exclusive. In Rwanda, for example, homes with an upgraded Save 80 cookstove saw a 77% decrease in indoor PM2.5, as well as 50% and 78% decreases in black and brown carbon, respectively (90). Tailored enhanced biomass stove implementations decreased PM2.5 exposures by 31%, 32%, and 65% in Uganda, Vietnam, and Kyrgyzstan; however, levels remained above WHO standards (91). According to Dillon et al. (92), “improved” biomass stoves frequently provide moderate reductions in PM2.5 (e.g., ~40 to 50%), which may still surpass acceptable standards (92). There is currently no direct proof that cookstove interventions lower the risk of cancer since there are no long-term randomized trials with cancer endpoints. Nonetheless, PAHs formed from biomass smoke and PM2.5 are recognized carcinogens that are causally associated with lung cancer (93, 94). Therefore, large, sustained reductions in PM2.5 could result in lower long-term risk for lung and upper aerodigestive cancers, according to mechanistic plausibility and exposure-response models (94). However, “stacking”—the practice of using conventional stoves in addition to cleaner ones—occurs often and compromises the effectiveness of exposure reductions (95). The biggest obstacles to exclusive usage include cultural preferences, stove maintenance, fuel costs, sporadic supply, and affordability (91). It is essential to design culturally suitable stoves, undertake behavior-change programs, ensure supply infrastructure, and offer subsidies to achieve the sustained, exclusive use required for significant cancer-risk reduction. Transitions to genuinely clean fuels (such as LPG and electricity) should be prioritized from the perspective of cancer prevention policy. These transitions should be backed by supply and financing strategies and implemented in a culturally appropriate manner. Only then will the significant and long-lasting reductions in PM2.5 that are necessary to realistically lower long-term cancer risk be achievable. Furthermore, to measure direct cancer outcomes, long-term cohort surveillance connected to intervention programs is required.

2.5.3 Environmental pollution and traditional lifestyles

The threat of environmental pollution to public health has grown in LMICs, where conventional lifestyles frequently collide with new ecological hazards, increasing the risk of cancer. Although many traditional practices were historically sustainable, ecological balances have been disrupted by globalization, industrial encroachment, and lax regulatory systems. Consequently, communities are now exposed to dangerous pollutants through soil, water, air, and food systems (96, 97). Owing to land tenure insecurity and economic marginalization, traditional communities are often located next to landfills, industrial sites, urban growth zones, or contaminated waterways in LMICs. Groups that depend on subsistence, the IARC has designated heavy metals (such as arsenic, lead, and mercury), persistent organic pollutants, and agrochemical residues as carcinogenic. Agriculture and fishing may unintentionally consume water and food contaminated with these substances (98, 99). For instance, skin, lung, and bladder cancers have been connected to long-term exposure to groundwater containing arsenic, a phenomenon that has been extensively documented in South Asia (98, 100).

Conventional food storage and preservation methods also increase exposure to environmental carcinogens. Poor post-harvest management of grains and nuts promotes fungal development in many African and Asian contexts, contaminating food with aflatoxins, which are strong hepatocarcinogens associated with liver cancer (23). Chronic exposure is increased in situations when food instability deters people from throwing out tainted food, exacerbating these dangers. Furthermore, new toxic exposure vectors have been brought about by the growth of low-wage manufacturing, artisanal mining, and informal recycling. All these are frequently seen as adaptations of traditional livelihoods. Dioxins and PAHs, for example, are released into residential surroundings by informal e-waste processing, impacting populations with limited means of reducing exposure (101). Similarly, the use of lead-based glazes or fuels in traditional metalwork or ceramics leads to soil and air pollution.

Many traditional societies are unaware of the long-term health effects of environmental pollution, especially its connection to cancer, despite these exposures. The systemic underestimation of environmental carcinogens as public health concerns in LMICs is a result of both insufficient public health messaging and limited environmental monitoring (96, 102). Furthermore, traditional lifestyles continue to be extremely vulnerable to environmental degradation because of a combination of overlapping poverty, poor infrastructure, and lax enforcement of policies. Integrated, community-engaged strategies are needed to reduce the cancer risk associated with environmental pollution in conventional settings. Environmental health education, culturally relevant risk communication, encouragement of safe farming and food storage methods, and legislative frameworks that prioritize pollution control in underserved rural and periurban areas are a few examples. Sustainable health improvements in culturally embedded LMIC communities can only be attained by coordinating environmental justice and cancer prevention.

In LMICs, where exposure to environmental pollution frequently happens through a variety of channels, including soil, water, air, and food, communities that continue traditional lifestyles are at serious risk for developing cancer. Key contaminants, their main routes of exposure, the cancer outcomes linked to them, and typical regions where these hazards have been reported are compiled in Table 6. Along with highlighting both well-known risks, like aflatoxins and arsenic, and new or under-monitored contaminants, like POPs, PAHs, and heavy metals from artisanal practices, the table also shows the scope of national monitoring for food-chain exposures and offers a qualitative evaluation of data quality.

Table 6
www.frontiersin.org

Table 6. Environmental pollution hotspots in traditional LMIC lifestyles.

2.6 Luxury chemicals and chronic carcinogen exposure in LMICs

Chronic exposure to carcinogenic or endocrine-disrupting chemicals contained in common consumer products,often referred to as “luxury chemicals”,is an increasing worry in addition to the well-known environmental and occupational risks. These include cosmetics, air fresheners, perfumes, personal care items, and home insecticides. Although these items have historically been used in high-income environments, urbanization, growing affluence, and changing consumer preferences for modern lifestyles are driving a sharp increase in their use in LMICs (109). Low public understanding of the possible health concerns presented by the chemicals used in consumer products is a major issue in LMICs. Phthalates, parabens, formaldehyde-releasing preservatives, and synthetic fragrances are chemicals found in many commercial products. These substances have been linked to endocrine disruption and an increased risk of cancer, especially hormone-dependent cancers such as breast and prostate cancer (Table 7) (132, 133). The biological load of potentially carcinogenic compounds can increase over time due to chronic exposure, even at low levels, particularly in women who may use many personal care products daily (134).

Table 7
www.frontiersin.org

Table 7. Risk factors, associated cancer sites, and strength of evidence.

Another important form of exposure is the use of household insecticides. Due to cramped living circumstances and worries about vector-borne diseases, pesticides are commonly used in LMICs for both residential and agricultural pest management. Many of these products are readily accessible with little regulatory monitoring or user education regarding safe handling and ventilation, even though they include organophosphates, pyrethroids, and other substances associated with hormone disturbance and cancer risk (135). Similarly, air fresheners and air conditioners can emit known or suspected carcinogens called volatile organic compounds (VOCs), including formaldehyde, toluene, and benzene (136). The dangers of inhalation exposure are increased by inadequate ventilation in both traditional and urban houses, especially in hotter areas where the use of air conditioning is growing rapidly. Over decades, cumulative exposure to chemicals from many sources, such as cleaning products, cosmetics, fragrances, and household fumigants, may be minor but substantial, perhaps causing hormonal imbalances and cancer development (132). However, regulatory frameworks are frequently lacking, disjointed, or insufficiently enforced, and knowledge of these hazards is low in LMICs. Many LMICs lack comprehensive rules regulating the disclosure of ingredients, safety testing, or labeling of hazardous chemicals in consumer goods (96, 99).

Limited technical capability for chemical monitoring, conflicting health goals, and financial demands from expanding consumer product markets are obstacles that policy solutions in LMICs must overcome. However, a few crucial steps must be taken.

● Develop regulatory standards aligned with global frameworks (e.g.,SAICM) for the safe limits of carcinogens and endocrine disruptors in consumer goods (99).

● Launch culturally tailored public education campaigns that emphasize safer alternatives and promote practical strategies to minimize exposure (133).

● Support product reformulation and transparent labeling by incentivizing manufacturers to reduce hazardous ingredients and disclose chemical content (134).

● Increased investment in epidemiological research is required to assess exposure levels, health outcomes, and locally relevant mitigation strategies.

Without prompt action, the growing use of luxury chemicals in LMICs poses the potential to create new cancer risk pathways, compounding the cost of occupational and environmental exposures and making cancer preventive methods even more challenging.

In LMICs, the increasing use of consumer goods that contain endocrine-disrupting or carcinogenic chemicals indicates a shift in cancer risk from historic exposures to contemporary lifestyle risks. In contrast to food or occupational exposure, these dangers are frequently cumulative, imperceptible, and poorly understood by regulators and communities. According to the analysis, this emphasizes the necessity of public awareness campaigns, regulatory capacity building, and improved global-local coordination to stop luxury chemicals from emerging as the next major cause of avoidable cancer risks in LMICs.

Together, these cultural customs, the use of traditional medicine, and environmental exposures show how sociocultural norms, structural injustices, and livelihood realities interact to create a cancer risk in LMICs. In contrast to high-income settings, where cancer prevention frequently emphasizes lifestyle modification alone, LMICs face overlapping and context-specific drivers, such as unsafe food storage, reliance on unregulated T&CM, widespread alcohol and tobacco use, hazardous occupations, and increased exposure to modern consumer chemicals. These hazards are cumulative rather than isolated, making vulnerable groups, especially women and laborers in the unorganized sector, even more vulnerable. Analytically, this emphasizes that more than biomedical solutions are required for effective cancer prevention in LMICs. Instead, integrated strategies that address cultural legitimacy, control harmful exposures, and integrate cancer control into the larger agendas of social justice, labor protection, and environmental health are needed.

Table 8 below outlines significant consumer product categories that contribute to long-term exposure to potentially harmful chemicals in LMICs. It classifies cosmetics, fragrances, household insecticides, and cleaning agents, identifies the primary chemical classes they contain, including endocrine-disrupting chemicals (EDCs), volatile organic compounds (VOCs), and metals. Furthermore, it emphasizes the associated health risks, particularly hormone-dependent and other cancers. Verified references are provided to support the reported relationships and demonstrate the cumulative nature of exposure to daily luxury compounds.

Table 8
www.frontiersin.org

Table 8. A summary of product categories, common chemical classes, and associated health hazards.

3 Sociocultural barriers to cancer prevention and early detection

3.1 Cancer myths

Persistent misconceptions about cancer impede attempts at prevention, early identification, and treatment in many LMICs. These myths, which result in poor health outcomes and delayed medical care, are frequently based on cultural beliefs, spiritual interpretations, and false information (137). It takes specialized, culturally aware therapies that connect conventional wisdom with scientifically supported medical knowledge to dispel these myths.

The idea that cancer is a spiritual or supernatural disease, delivered as a curse or punishment, and that it can only be cured by religious or traditional methods, is a prevalent misconception in many LMIC groups. Patients who have such views frequently put off receiving medical care in favor of speaking with traditional healers or religious leaders (40, 138). Integrating spiritual and traditional viewpoints into health education can help combat this. For instance, the NGO mothers2mothers works with community leaders and local moms in Malawi to encourage HPV vaccination among girls between the ages of nine and 18. Their method dispels cultural myths while presenting accurate data, proving that cancer preventive strategies align with regional beliefs (139).

The idea that cancer always results in death is another common fallacy. People are discouraged from obtaining timely care because of this notion, which breeds fear, social isolation, and stigma (138). Highlighting survivor experiences and stressing the value of early detection and treatment are examples of counterstrategies. To spread correct information about the HPV vaccine and cervical cancer, community-based campaigns in Kisumu County, Kenya, involve local leaders and healthcare professionals. These programs have boosted the uptake of preventative measures and effectively decreased stigma (137). There are still misconceptions regarding the causes of cancer, with some populations attributing the disease to physical damage, sexual promiscuity, or the use of contraception instead of biological or environmental factors (140). Education about the true causes of cancer, such as the part oncogenic viruses play in cervical cancer, is necessary to address this. Programs in Uganda that promote HPV vaccination aim to dispel these myths by reaffirming that cancer results from observable biological causes rather than from moral or behavioral transgressions (137).

Last but not least, misconceptions about HPV vaccination, such as worries about infertility or alleged harmful side effects, present further obstacles to prevention. Building faith in vaccine safety requires the dissemination of evidence-based information via reliable community channels. Research on parental and adolescent concerns over HPV vaccination in Kisumu County has influenced community engagement tactics that promote trust and dispel myths, leading to increased vaccination uptake (137). Together, these instances highlight the value of community-driven, culturally sensitive strategies in debunking cancer stereotypes. By involving reliable people like survivors, religious leaders, and traditional healers, health initiatives can successfully reframe cancer as a disease that can be prevented and treated, encouraging prompt medical attention and enhancing results in LMICs.

3.2 Cancer stigma

Effective cancer control is severely hampered by cancer stigma in LMICs, where patient experiences and public perceptions are shaped by a confluence of institutional injustices, cultural beliefs, and false information. Rather than being a personal issue, stigma has a broad impact on health-related behaviors, healthcare systems, and community dynamics, which eventually leads to preventable morbidity and mortality (40, 141). At each stage of the patient journey, stigma shapes health-seeking behavior and acts as a powerful barrier to cancer care. Shame and prejudice can make it difficult for people to stick with therapy, and fear of disclosure and social rejection frequently keeps people from coming in early. These effects are summarized in Figure 5, which illustrates how stigma results in delayed diagnosis, treatment discontinuation, dependence on non-biomedical therapy, and ultimately worse survival outcomes. This demonstrates that stigma is a structural factor that contributes to disparities in cancer outcomes among LMICs in addition to being a psychosocial problem. In many LMICs, cancer is viewed as a moral failure or supernatural retribution, which encourages social marginalization and secrecy (138). For instance, cancer is frequently linked to curses or “evil spirits” among the Acholi population in northern Uganda, leading patients to turn to traditional healers rather than medical facilities for treatment (40).

Figure 5
Diagram illustrating stigma's consequences, with a central pink oval labeled “Consequences of stigma.” Four surrounding colored ovals detail impacts: Behavioral (non-disclosure, impaired self-care), Medical (low healthcare access, poor outcomes), Social (severed relations, isolation, employment issues), and Psychological (distress, depression, anxiety, low self-esteem, low patient activation). Dotted lines connect each to the central oval.

Figure 5. Consequences of stigma in patients with cancer. The diagram illustrates how stigma exacerbates worse survival outcomes, social isolation, treatment noncompliance, and delays in seeking care. It highlights how crucial it is to incorporate stigma reduction techniques into initiatives aimed at preventing and controlling cancer. This is an original figure.

Anticipated stigma and fear of others’ reactions deter individuals from revealing symptoms, seeking screening, or following treatment plans (138). Since breast and cervical cancer are linked to ideas of sexual appropriateness, femininity, and reproductive worth, the stigma surrounding these diseases can be especially strong among women with them. Due to this stigma, women frequently hide their symptoms or postpone potentially life-saving medical care out of fear of social rejection or abandonment. These difficulties are exacerbated by institutional problems. Insufficient psychosocial support services, inappropriate communication from medical staff, and lack of privacy in healthcare settings all lead to patient disengagement and stigma reinforcement (22). These institutional flaws can exacerbate mistrust and alienation in LMIC, where healthcare services are typically overworked and underfunded. Stigma hinders adherence to therapy, causes delays in diagnosis, and lowers participation in cancer screening. Additionally, as patients retreat from their jobs or social lives to hide their disease, it exacerbates psychological suffering, lowers their quality of life, and may result in financial difficulty (141). Comprehensive and culturally aware interventions are necessary to combat cancer stigma in LMICs. Effective tactics include using cancer survivors as champions, incorporating stigma-reduction messaging in public health initiatives, and enlisting the help of religious and community leaders to dispel myths (142). Furthermore, to prevent clinical interactions from unintentionally reinforcing stigma, healthcare professionals must be trained in compassionate, patient-centered communication (22). Importantly, interventions must be created to empower underrepresented groups and be customized to local cultural contexts.

3.2.1 Diagnostic delays associated with cancer stigma

In LMICs, the stigma associated with cancer harms patient outcomes by greatly contributing to delays in diagnosis. According to a study conducted in Libya, the median interval between the onset of symptoms and the diagnosis of breast cancer was 7.5 months, with 56% of patients receiving a diagnosis more than six months later. According to Mwaka et al. (40), these delays were induced by several factors, including the belief that symptoms were not significant (27%), dependence on alternative therapies (13%), and fear or embarrassment that prevented medical consultation (10% and 4.5%, respectively) (143). A mixed-methods study conducted in India found that the median main delay for diagnosing breast cancer was 86 days, whereas the median secondary delay was 23 days. According to the study, a family history of smoking or tobacco use was linked to secondary delay, whereas characteristics including housing style and the value placed on health were linked to primary delay (144). According to an Iranian study, 16.4% of women with breast cancer postponed getting treatment for more than 90 days, while 34.3% did so for 30 to 90 days. A 5.7-fold increased risk of delaying seeking help was linked to the stigma around breast cancer (145).

3.2.2 Interventions to reduce diagnostic delays

Multifaceted interventions that are adapted to the cultural and social circumstances of LMICs are necessary to address cancer stigma and the delays that are linked to it. Campaigns for community-based awareness have been successful in lowering stigma and encouraging early diagnosis. For example, 16 out of 19 general population-focused treatments that focused on community participation, lowering the stigma associated with cancer, and raising general health awareness were found in a systematic review (146). Additionally, educating medical professionals in patient-centered, compassionate communication can help reduce stigma in clinical settings and create a welcoming atmosphere that promotes prompt medical consultation. In healthcare institutions with limited resources, technological developments like the creation of resource-efficient diagnostic tools, like MobileNetV2-based models, present intriguing options for early cancer detection. The difficulties caused by protracted diagnosis delays in underdeveloped nations have been addressed by these models, which have shown excellent diagnostic accuracy and efficiency (146).

In summary, the stigma associated with cancer serves as an example of how institutional flaws and societal attitudes combine to perpetuate disparities in treatment and prevention of the disease. In addition to silencing people, stigma damages public confidence in healthcare systems, which exacerbates delayed diagnoses and inadequate treatment compliance. To achieve equitable cancer control in LMICs, our analytical conceptualization demonstrates that stigma reduction must be viewed as a systemic intervention that calls for community-based lobbying, survivor visibility, and professional health training for compassionate communication.

3.3 Case studies: the influence of socio-cultural norms on cancer epidemiology

Sociocultural norms significantly impact cancer epidemiology in LMICs. They influence how people interact with health institutions as well as how disease occurrence patterns are shaped. Case studies from various LMIC contexts show how differences in cancer risk, diagnosis, and outcomes are influenced by a combination of cultural beliefs, gender dynamics, economic realities, and traditional practices in these countries. The high incidence of cervical cancer in SSA is a prime example of how cultural norms and cancer epidemiology interact with each other. Although cervical cancer can be prevented through screening and immunization, honest communication about gynecological symptoms is impeded by cultural taboos surrounding modesty, sexuality, and reproductive health. According to studies conducted in Nigeria and Uganda, many women avoid cervical cancer screening because they are ashamed of pelvic exams, fear stigma, or believe that cervical cancer is a sign of promiscuity or divine retribution (40, 138). Cervical cancer has a high mortality rate because it is frequently detected at an advanced stage.

Similar dynamics are observed in South Asia, where cultural perceptions of breast cancer significantly impact diagnosis and care. Women in countries such as India and Pakistan often delay seeking medical help for breast lumps or symptoms. This is because breast cancer is seen as a personal or embarrassing matter. These delays are exacerbated by economic reliance on male family members, marital instability and fear of social rejection (140). Consequently, a significant proportion of South Asian women present with advanced breast cancer despite increased awareness efforts. Southeast Asian cancer risk patterns are influenced by regionally specific dietary and customary behavior. Chewing betel quid is a common habit closely associated with social customs, hospitality, and prestige, especially in Myanmar, Cambodia, and some regions of Vietnam. However, research indicates that habitual users have a two- to seven-fold higher risk of developing oral and pharyngeal malignancies as a result of this activity (57, 67). Cultural ties to betel quid are still strong despite public health messaging, which makes efforts to avoid cancer more difficult.

Another example of how sociocultural factors impact cancer epidemiology is in Latin America. Traditional indoor wood-burning stove-based cooking techniques in some indigenous cultures raise household air pollution levels, which are known risk factors for upper gastrointestinal and lung malignancies (85, 88). Cultural preferences for conventional cooking methods and reluctance to adopt new technologies have frequently caused attempts to implement cleaner cooking technologies to fail (89). Furthermore, gender norms are significant factors in the epidemiology of cancer in many LMICs. Due to the belief that talking about health issues diminishes masculinity, men may postpone treatment for diseases such as prostate or colorectal cancer. Gendered reluctance has resulted in poorer survival rates and advanced-stage diagnoses. Together, these case studies demonstrate that biological variables alone are insufficient to explain cancer epidemiology in LMICs. Cultural norms, social roles, economic pressures, and customs significantly impact who is in danger, who seeks treatment, and who survives cancer. Gender-sensitive, culturally appropriate, and community-involvement-based interventions are necessary to address these inequities. Cancer management initiatives in LMICs run the risk of being ineffective or even detrimental if sociocultural contexts are not recognized and integrated (22, 142).

When considered as a whole, these case studies show that biological risk factors alone are insufficient to explain cancer epidemiology in LMICs. Economic limitations, gender norms, and cultural traditions continuously influence vulnerability, care, and survival. In terms of analysis, this emphasizes the necessity of medically effective therapies that are also gender-sensitive, culturally appropriate, and based on community involvement to lessen cancer disparities within LMICs.

Overall, the prevalence of stigma, myths, and culturally specific health-seeking practices related to cancer in LMICs shows that biological advancements alone cannot enhance outcomes without concurrent sociocultural engagement. Late diagnosis and low survival rates are directly caused by stigma that suppresses symptoms and inhibits disclosure, as well as misconceptions that portray cancer as supernatural or incurable. Case studies from Asia, Latin America, and Africa also show how economic reliance, cultural taboos, and gender norms reinforce these barriers, influencing not only who gets cancer but also who receives timely care. Analytically, these findings highlight the need for community-led advocacy, stigma reduction, and culturally grounded communication as key preventive measures for cancer control in LMICs. Health systems can create the trust and cultural resonance required to change cancer from a feared and concealed disease to one that is publicly discussed, prevented, and curable by redefining it within local belief systems and elevating trusted community voices.

3.4 Health system mistrust and culturally safe care models

One of the biggest obstacles to early cancer detection and treatment in LMICs is mistrust of the official health system. People may be discouraged from using biomedical services due to historical injustices, bad experiences in the past, and perceived cultural insensitivity (22). Fears of discrimination, expensive out-of-pocket expenses, and a lack of knowledge about medical procedures frequently exacerbate this mistrust, which leads to delayed presentation and poor treatment protocol adherence (138).

By developing health services that are sensitive to patients’ social, cultural, and language needs, culturally safe care models have been demonstrated to lessen these obstacles. Peer educators, language-concordant counseling, and patient navigation programs are among strategies that enable patients to participate in care while honoring their cultural background (142). For example, peer educators and community health professionals have been used in Kenya and Uganda to offer advice on HPV vaccination and cervical cancer screening. These programs have raised awareness, boosted the use of preventative treatment, and bolstered confidence in official medical professionals (40, 137).

Overall, including culturally acceptable practices into cancer prevention and care can reduce delays, improve adherence, and establish a long-term link between communities and health institutions. These approaches are crucial for obtaining equitable cancer outcomes in LMICs.

4 Cancer prevention strategies in LMICs

It is evident from the sociocultural constraints discussed in Section 3 that biological approaches alone are insufficient for cancer prevention in LMICs to be effective. Early detection and treatment are frequently undermined by myths, stigma, and culturally rooted practices that influence the perception of risk factors and the pursuit of care. Therefore, preventive strategies must be both culturally sensitive and scientifically sound. This section describes the multilevel strategies that directly address the structural, cultural, and environmental factors influencing cancer risk in LMICs. These strategies cover policies, education, technology, and health system integration. A plan to address cancer’s place in the global health agenda with other NCDs was created in 2011 during a high-level conference of the United Nations (UN) General Assembly on NCD Prevention and Control (147). The report warned that many LMICs will not have adequate funding for comprehensive cancer management strategies, making them ill-prepared to handle the anticipated rise in the number of patients with cancer. Their report emphasized the growing concerns regarding the increase in the cancer burden in LMICs (148, 149). Since the UN General Assembly meeting, some progress has been achieved. For example, in 2017, 101 of the 133 LMICs had a strategic action plan or operational policy for the treatment and prevention of cancer. However, few have made specific budgetary commitments to carry out such plans (3, 150). This figure plateaued at 100 out of 133 LMICs by 2019, with declines in SSA and the Middle East and North Africa (Figure 6). Figure 6 demonstrates stagnation in policy adoption, reinforcing that policy implementation is not only a technical issue but also a political and cultural challenge that requires multilevel advocacy.

Figure 6
Bar chart comparing the percentage of a metric across regions in 2017 and 2019. Regions include East Asia and Pacific, Europe and Central Asia, and others. Each region shows two bars: orange for 2019 and blue for 2017. Latin America and Caribbean have the highest percentages, while Sub-Saharan Africa and South Asia have the lowest.

Figure 6. Percentage of LMICs that had core cancer control components such as cancer policies and plans in 2017 and 2019. The figure illustrates the disparities in policy implementation, with many LMICs lacking palliative care, screening programs, and registries. It highlights the need for more system-level investment and integrated policies to combat the rising cancer burden. LMICs, Low- and middle-income countries. This is an original figure.

Multilevel, culturally sensitive strategies that consider the distinct risk landscapes and social contexts of LMICs are necessary for cancer prevention. A complex interaction of behavioral, environmental, and sociocultural factors is driving the rise in cancer incidence in LMICs, necessitating solutions beyond merely biological interventions (54, 70). Misinformation and stigma often impede grassroots prevention efforts. People are discouraged from undergoing screening or reporting symptoms. This is due to deeply ingrained cultural ideas that frequently depict cancer as a contagious disease, punishment, or death sentence (138, 151). Research has demonstrated that community-based education programs can successfully dispel false beliefs and increase the rate of early diagnosis. This is particularly true when they are presented through reliable sources such as religious leaders, traditional healers, and cancer survivors (22, 142). Behavioral risk reduction is a key component of preventative initiatives. Reducing the risk of cancer requires campaigns that target alcohol and tobacco use, encourage physical activity, and promote healthier diets (54, 152). However, in LMICs, where poverty, urbanization, and cultural norms frequently sustain high levels of risk behaviors, such as the use of smokeless tobacco and the consumption of processed foods, these treatments encounter challenges (153). Environmental and occupational dangers introduce an additional degree of complication. Carcinogens, such as biomass smoke, herbicides, and industrial pollutants, are present in many traditional livelihoods (87, 96).

Regulations, safer work practices, and locally relevant education are necessary to address these dangers. However, enforcement is frequently hindered by a lack of resources and conflicting public health objectives (99). Vaccination and screening for secondary prevention are essential but are underutilized in LMICs. For instance, despite the demonstrated effectiveness of the HPV vaccine and cervical cancer screening, acceptance remains low due to financial constraints, cultural reluctance, and logistical obstacles (138, 151). Although they have potential, innovations such as HPV self-sampling and the incorporation of screening services into maternal health care need to be implemented with cultural sensitivity and include the community (99, 142). Furthermore, there are potential problems in incorporating T&CM into cancer prevention. Despite its widespread use, T&CM may cause negative interactions with biological medicines or delay diagnosis if used without proper regulation (34, 42). If supported by legislation and evidence-based recommendations, using traditional healers as collaborators in early detection and health education could close the gaps between traditional practices and contemporary care (48). The most economical way to lower the incidence of cancer and health inequalities in LMICs, where resources are frequently scarce, is prevention. To make progress, biomedical research must be combined with cultural awareness and community empowerment to create solutions that have local resonance and quantifiable effects.

4.1 Policies for preventing cancer in LMICs

The creation and strict application of cogent policies that address both personal risk behaviors and more general environmental and societal factors of cancer are critical for effective cancer prevention in LMICs. However, many LMICs still lack comprehensive cancer control strategies or encounter major obstacles in implementing policy commitments, even in the face of growing worldwide acknowledgment of cancer as a public health priority (54, 70). The WHO FCTC, which establishes legally binding guidelines for lowering tobacco use, a major cause of cancer globally, is a vital policy tool in the fight against cancer. Despite the FCTC being adopted by almost all LMICs, its implementation is still unequal because of industry meddling, lax enforcement, and conflicting economic priorities (55). Research indicates that price-based interventions, such as taxes, are some of the most successful strategies; for example, a 10% rise in tobacco prices results in a 4–8% decrease in tobacco use, especially among young people and those with low incomes (60). However, because of concerns about possible effects on local economies or income loss from illegal trade, many LMIC governments are still reluctant to levy large taxes (54). Another important but neglected policy tool in LMICs is the control of alcohol consumption. Although alcohol consumption is a known risk factor for several cancers, legislative measures such as taxes, sales limits, and advertising bans are not always consistently implemented. Marketing tactics aimed at women and young people make regulation even more difficult, raising the risk of alcohol-related cancer in LMIC populations (152, 154).

Occupational and environmental policies are equally important but are frequently overlooked. In LMICs, exposure to carcinogens, such as pesticides, aflatoxins, heavy metals, and biomass smoke, is a common part of many traditional livelihoods (87, 96). Although international frameworks have regulatory criteria for hazardous substances, resource limitations, lack of technical capability, and lack of political priority usually hinder national-level enforcement in LMICs (99). Many traditional economies are informal, which makes regulatory control even more difficult and leaves a sizable portion of the workforce vulnerable to exploitation. Vaccination laws are another important preventive measure. For instance, the hepatitis B vaccine is essential for lowering the incidence of hepatocellular carcinoma, and HPV immunization can prevent cervical cancer. Notwithstanding the evident cost-effectiveness and efficacy of HPV vaccination programs in reducing cancer incidence, their implementation in many LMICs has been hindered by logistical and financial obstacles (138). National cancer control plans (NCCPs) offer a vital policy framework for combining palliative care, treatment, early detection, and prevention. However, as of 2020, only 69% of nations worldwide reported having an operating NCCP, and there are notable gaps in LMIC funding and implementation (115). Plans frequently exist on paper but lack sustainable funding, meaningful roadmaps, and systems for tracking advancement (70). Ultimately, local reality and global evidence must be balanced when developing policies for LMICs. Cultural adaptability, political will, intersectoral cooperation, and sufficient funding are necessary for effective policies to go beyond verbal promises to real health benefits. Furthermore, to ensure acceptance and sustainability, policy procedures must involve communities, civil society organizations, and traditional leaders (22, 142). Cancer prevention in LMICs will continue to be dispersed and insufficient in the absence of strong, context-sensitive policies, aggravating global health inequalities and leaving millions at risk of avoidable cancers.

4.2 Mobile health (mHealth) utilization

Traditional healthcare delivery is frequently hampered by financial limitations and health system fragmentation in LMICs, where mobile health (mHealth) has emerged as a viable approach for cancer prevention, early diagnosis, and patient support. According to Kay et al. (155) and Piette et al. (156), mHealth is the use of mobile devices, including smartphones, tablets, and SMS services, to assist in medical and public health practices. It provides creative ways to reach underserved populations. mHealth is particularly appealing in LMICs for several reasons (155, 156). Mobile phone usage has skyrocketed in these places; even in rural areas, the GSMA reports over 90% mobile coverage (157). This technology offers a special way to distribute behavioral therapies, health information, and reminders at a reasonable cost to the user. To prevent cancer, mHealth interventions have been successful in spreading information about risk factors, encouraging screening, and dispelling enduring stigma and misconceptions about the disease (142, 158). According to data from LMICs, SMS reminders have the potential to increase screening rates. According to research conducted in Kenya and Tanzania, text messaging interventions greatly improved attendance at cervical cancer screening appointments. It has helped overcome obstacles such as logistical difficulties, low health literacy, and forgetfulness (142, 159). Similarly, mHealth techniques have been used to enhance HPV vaccination campaigns, increasing vaccine uptake and community awareness. In addition to prevention, mHealth has proven useful in helping cancer patients undergo treatment.

In situations where patients may reside far from treatment facilities, mobile applications and messaging services make it easier to monitor symptoms, schedule appointments and provide psychosocial support (156). These resources help increase adherence to treatment plans and lessen loneliness. However, several obstacles prevent mHealth from being widely used in LMIC cancer care. There are still large gender and socioeconomic gaps in mobile phone ownership and use, and digital literacy is still unequal (157). Women are frequently less likely than men to own a mobile phone or have autonomous control over its use, despite carrying a disproportionate burden of malignancies such as breast and cervical cancer (142, 157). Privacy and data security are major problems, particularly when handling sensitive health information, such as cancer diagnoses, which can carry a great deal of shame in many societies (22). Furthermore, although mHealth interventions are frequently successful in pilot projects, it is still difficult scaling up these activities sustainably remains challenging. Many programs are executed in isolation without cross-sector coordination, are dependent on temporary donor money, or are not integrated into national health systems (159). Instead of becoming transformative, mHealth runs the risk of becoming dispersed and redundant if it is not aligned with larger health policies and infrastructure. Careful planning is necessary to guarantee cultural relevance, gender equity, and integration into current health systems to implement effective mHealth initiatives for cancer prevention and care in LMICs. Digital disparities must be addressed, data privacy must be clearly defined, and sustainable financing sources must be supported by the policy frameworks. When used carefully, mHealth has great potential to close gaps in cancer care and prevention in LMICs, improving the efficiency and equity of healthcare delivery.

5 Conclusion

This review demonstrates how culture, environment, and social context influence cancer risk in LMICs, in addition to biological factors. Tobacco, alcohol, T&CM, traditional diets, and dangerous occupations are all factors associated with avoidable malignancies. Myths and stigma increase inequality by delaying diagnoses and treatments. Interventions must directly interact with communities outside hospitals to improve outcomes. Safer food storage and nutritional recommendations, T&CM integration and regulation, stricter enforcement of alcohol and tobacco legislation, occupational protection, and stigma reduction through reliable local voices are among the top priorities. Survivor advocacy and digital health tools can help close awareness and access gaps. Evidence from future studies must be applicable locally and actionable. Measuring environmental and occupational exposure, testing culturally appropriate remedies, and assessing T&CM safety are important gaps in the literature. Developing successful and culturally acceptable cancer prevention techniques requires a transdisciplinary approach that connects biological sciences, public health, and social sciences.

Author contributions

TVM: Methodology, Writing – original draft, Writing – review & editing. RM: Writing – review & editing. TM: Methodology, Writing – review & editing. TL: Writing – review & editing. ZM-K: Writing – review & editing. NC-M: Writing – review & editing. GM: Writing – review & editing. ZD: Conceptualization, Funding acquisition, Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. This work was funded by the South African Medical Research Council (SAMRC), grant number 23108, the National Research Foundation (NRF), grant number 138139, and the Cancer Grand Challenges through Cancer Research UK (CRUK).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ASGM, Artisanal and Small-Scale Gold Mining; ASMR, Age-Standardized Mortality Rate; ESA, East and South Asian; FCTC, Framework Convention on Tobacco Control; GNI, Gross National Income; HAP, Household Air Pollution; HDI, Human Development Index; HICs, High-Income Countries; HPV, Human papillomavirus; IARC, International Agency for Research on Cancer; LMICs, Low- and Middle-Income Countries; MIR, Mortality-to-Incidence Ratio; NCCPs, National Cancer Control Plans; PAHs, Polycyclic Aromatic Hydrocarbons; SLT, Smokeless Tobacco; SSA, Sub-Saharan Africa; SAICM, Strategic Approach to International Chemicals Management; T&CM UN, Traditional and Complementary Medicine United Nations; VOCs, Volatile Organic Compounds; WHO, World Health Organization.

References

1. IARC. Global Cancer Observatory: Cancer Today. Lyon: International Agency For Research On Cancer (2024). Available online at: https://gco.iarc.who.int/media/globocan/factsheets/populations/987-high-income-fact-sheet.pdf. (Accessed July 31, 2025).

Google Scholar

2. Santucci C, Carioli G, Bertuccio P, Malvezzi M, Pastorino U, Boffetta P, et al. Progress in cancer mortality, incidence, and survival: A global overview. Eur J Cancer Prev. (2020) 29:367–81. doi: 10.1097/Cej.0000000000000594

PubMed Abstract | Crossref Full Text | Google Scholar

3. WBG. Countries and economies: world bank group (2025). Available online at: https://data.worldbank.org/country (Accessed 26 February 2025).

Google Scholar

4. Global Burden Of Disease Cancer C, Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, et al. Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the global burden of disease study 2019. JAMA Oncol. (2022) 8:420–44. doi: 10.1001/Jamaoncol.2021.6987

PubMed Abstract | Crossref Full Text | Google Scholar

5. WHO. Who News Release. Global Cancer Burden Growing, Amidst Mounting Need For Services. Geneva, Switzerland: WHO (2024). Available online at: https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing–amidst-mountingneed-for-services. (Accessed July 31, 2025).

Google Scholar

6. Pramesh CS, Badwe RA, Bhoo-Pathy N, Booth CM, Chinnaswamy G, Dare AJ, et al. Priorities for cancer research in low- and middle-income countries: A global perspective. Nat Med. (2022) 28:649–57. doi: 10.1038/S41591-022-01738-X

PubMed Abstract | Crossref Full Text | Google Scholar

7. Huang J, Ssentongo P, and Sharma R. Cancer Burden, Prevention And Treatment In Developing Countries. Lausanne, Switzerland: Frontiers Media SA (2023).

Google Scholar

8. International Cancer Expert Corps. (2017). Africa’s emerging cancer crisis: A call to action. Available online at: https://www.iceccancer.org/wp-content/uploads/2016/01/Africa%E2%80%99s-Emerging-Cancer-Crisis-A-Call-to-Action.pdf

Google Scholar

9. Sharma R. Breast cancer incidence, mortality and mortality-to-incidence ratio (Mir) are associated with human development 1990-2016: evidence from global burden of disease study 2016. Breast Cancer. (2019) 26:428–45. doi: 10.1007/S12282-018-00941-4

PubMed Abstract | Crossref Full Text | Google Scholar

10. Sankaranarayanan R and Boffetta P. Research on cancer prevention, detection and management in low- and medium-income countries. Ann Oncol. (2010) 21:1935–43. doi: 10.1093/Annonc/Mdq049

PubMed Abstract | Crossref Full Text | Google Scholar

11. Sharma R. Examination of incidence, mortality and disability-adjusted life years and risk factors of breast cancer in 49 asian countries 1990-2019: estimates from global burden of disease study 2019. Jpn J Clin Oncol. (2021) 51:826–35. doi: 10.1093/Jjco/Hyab004

PubMed Abstract | Crossref Full Text | Google Scholar

12. Sharma R. A systematic examination of burden of childhood cancers in 183 countries: estimates from globocan 2018. Eur J Cancer Care (Engl). (2021) 30:E13438. doi: 10.1111/Ecc.13438

PubMed Abstract | Crossref Full Text | Google Scholar

13. Sharma R, Aashima, Nanda M, Fronterre C, Sewagudde P, Ssentongo AE, et al. Mapping cancer in africa: A comprehensive and comparable characterization of 34 cancer types using estimates from globocan 2020. Front Public Health. (2022) 10:839835. doi: 10.3389/Fpubh.2022.839835

PubMed Abstract | Crossref Full Text | Google Scholar

14. Mubarik S, Sharma R, Hussain SR, Iqbal M, Nawsherwan, Liu X, et al. Breast cancer mortality trends and predictions to 2030 and its attributable risk factors in east and south asian countries. Front Nutr. (2022) 9:847920. doi: 10.3389/Fnut.2022.847920

PubMed Abstract | Crossref Full Text | Google Scholar

15. Kagawa-Singer M. From genes to social science: impact of the simplistic interpretation of race, ethnicity, and culture on cancer outcome. Cancer. (2001) 91:226–32. doi: 10.1002/1097-0142(20010101)91:1+<226::Aid-Cncr9>3.0.Co;2-1

PubMed Abstract | Crossref Full Text | Google Scholar

16. Kagawa-Singer M, Dadia AV, Yu MC, and Surbone A. Cancer, culture, and health disparities: time to chart A new course? CA Cancer J Clin. (2010) 60:12–39. doi: 10.3322/Caac.20051

PubMed Abstract | Crossref Full Text | Google Scholar

17. Bronfenbrenner U and Ceci SJ. Nature-nuture reconceptualized in developmental perspective: A bioecological model. psychol Rev. (1994) 101:568. doi: 10.1037/0033-295X.101.4.568

PubMed Abstract | Crossref Full Text | Google Scholar

18. Hammond PB. An introduction to cultural and social anthropology. (1978).

Google Scholar

19. Bourdieu P. The Logic of Practice. Redwood City, California : Stanford University Press (1990).

Google Scholar

20. Biotechnology N. Bidil, illuminating. Nat Biotechnol. (2005) 23:903. doi: 10.1038/nbt0805-903

PubMed Abstract | Crossref Full Text | Google Scholar

21. Sankar P and Kahn J. Bidil: race medicine or race marketing? Using race to gain A commercial advantage does not advance the goal of eliminating racial/ethnic disparities in health care. Health Affairs. (2005) 24:W5–455-W5-464. doi: 10.1377/hlthaff.W5.455

PubMed Abstract | Crossref Full Text | Google Scholar

22. Epstein RM and Street RL Jr. Patient-centered communication in cancer care: promoting healing and reducing suffering. (2007). doi: 10.1037/e481972008-001

Crossref Full Text | Google Scholar

23. Wild CP and Gong YY. Mycotoxins and human disease: A largely ignored global health issue. Carcinogenesis. (2010) 31:71–82. doi: 10.1093/Carcin/Bgp264

PubMed Abstract | Crossref Full Text | Google Scholar

24. Liu Y and Wu F. Global burden of aflatoxin-induced hepatocellular carcinoma: A risk assessment. Environ Health Perspect. (2010) 118:818–24. doi: 10.1289/ehp.0901388

PubMed Abstract | Crossref Full Text | Google Scholar

25. Hosgood Iii HD, Wei H, Sapkota A, Choudhury I, Bruce N, Smith KR, et al. Household coal use and lung cancer: systematic review and meta-analysis of case–control studies, with an emphasis on geographic variation. Int J Epidemiol. (2011) 40:719–28. doi: 10.1093/ije/dyq259

PubMed Abstract | Crossref Full Text | Google Scholar

26. Gupta PC and Ray CS. Epidemiology of betel quid usage. Annals-Acad Med Singapore. (2004) 33:31–6. doi: 10.47102/annals-acadmedsg.

PubMed Abstract | Crossref Full Text | Google Scholar

27. Warnakulasuriya S. Global epidemiology of oral and oropharyngeal cancer. Oral Oncol. (2009) 45:309–16. doi: 10.1016/j.oraloncology.2008.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

28. Hamid AS, Tesfamariam IG, Zhang Y, and Zhang ZG. Aflatoxin B1-induced hepatocellular carcinoma in developing countries: geographical distribution, mechanism of action and prevention. Oncol Lett. (2013) 5:1087–92. doi: 10.3892/Ol.2013.1169

PubMed Abstract | Crossref Full Text | Google Scholar

29. Yu S, Jia B, Liu N, Yu D, Zhang S, and Wu A. Fumonisin B1 triggers carcinogenesis via hdac/pi3k/akt signalling pathway in human esophageal epithelial cells. Sci Total Environ. (2021) 787:147405. doi: 10.1016/J.Scitotenv.2021.147405

PubMed Abstract | Crossref Full Text | Google Scholar

30. Kimanya M, De Meulenaer B, Tiisekwa B, Ndomondo-Sigonda M, and Kolsteren P. Human exposure to fumonisins from home grown maize in Tanzania. World Mycotoxin J. (2008) 1:307–13. doi: 10.3920/WMJ2008.x032

Crossref Full Text | Google Scholar

31. Warth B, Parich A, Atehnkeng J, Bandyopadhyay R, Schuhmacher R, Sulyok M, et al. Quantitation of mycotoxins in food and feed from Burkina Faso and Mozambique using A modern lc-ms/ms multitoxin method. J Agric Food Chem. (2012) 60:9352–63. doi: 10.1021/jf302003n

PubMed Abstract | Crossref Full Text | Google Scholar

32. Mutungi C, Imathiu S, and Affognon H. Effect of triple-layer hermetic bagging on mould infection and aflatoxin contamination of maize during multi-month on-farm storage in Kenya. J Stored Prod Res. (2016) 69:119–28. doi: 10.1016/j.jspr.2016.07.005

Crossref Full Text | Google Scholar

33. Torres O, Matute J, Gelineau-Van Waes J, Maddox JR, Gregory S, Ashley-Koch A, et al. Human health implications from co-exposure to aflatoxins and fumonisins in maize-based foods in latin america: Guatemala as A case study. World Mycotoxin J. (2015) 8:143–60. doi: 10.3920/WMJ2014.1736

Crossref Full Text | Google Scholar

34. WHO. Who Traditional Medicine Strategy: 2014–2023. Geneva, Switzerland: WHO (2013). Available online at: http://appswhoint/iris/bitstream/10665/92455/1/9789241506090_engpdf?ua=1. (Accessed July 31, 2025).

Google Scholar

35. Erku DA. Complementary and alternative medicine use and its association with quality of life among cancer patients receiving chemotherapy in Ethiopia: A cross-sectional study. Evidence-Based Complement Altern Med. (2016) 2016:2809875. doi: 10.1155/2016/2809875

PubMed Abstract | Crossref Full Text | Google Scholar

36. Asuzu CC, Elumelu-Kupoluyi T, Asuzu MC, Campbell OB, Akin-Odanye EO, and Lounsbury D. A pilot study of cancer patients’ Use of traditional healers in the radiotherapy department, university college hospital, Ibadan, Nigeria. Psychooncology. (2017) 26:369–76. doi: 10.1002/Pon.4033

PubMed Abstract | Crossref Full Text | Google Scholar

37. Yarney J, Donkor A, Opoku SY, Yarney L, Agyeman-Duah I, Abakah AC, et al. Characteristics of users and implications for the use of complementary and alternative medicine in Ghanaian cancer patients undergoing radiotherapy and chemotherapy: A cross- sectional study. BMC Complement Altern Med. (2013) 13:16. doi: 10.1186/1472-6882-13-16

PubMed Abstract | Crossref Full Text | Google Scholar

38. Ceylan S, Hamzaoğlu O, Kömürcü S, Beyan C, and Yalcin A. Survey of the use of complementary and alternative medicine among turkish cancer patients. Complement Ther Med. (2002) 10:94–9. doi: 10.1054/ctim.2002.0527

PubMed Abstract | Crossref Full Text | Google Scholar

39. Montazeri A, Sajadian A, Ebrahimi M, Haghighat S, and Harirchi I. Factors predicting the use of complementary and alternative therapies among cancer patients in Iran. Eur J Cancer Care. (2007) 16:144–9. doi: 10.1111/j.1365-2354.2006.00722.x

PubMed Abstract | Crossref Full Text | Google Scholar

40. Mwaka AD, Okello ES, Wabinga H, and Walter FM. Symptomatic presentation with cervical cancer in Uganda: A qualitative study assessing the pathways to diagnosis in a low-income country. BMC Womens Health. (2015) 15:15. doi: 10.1186/S12905-015-0167-4

PubMed Abstract | Crossref Full Text | Google Scholar

41. Birhan W, Giday M, and Teklehaymanot T. The contribution of traditional healers’ Clinics to public health care system in Addis Ababa, Ethiopia: A cross-sectional study. J Ethnobiol Ethnomed. (2011) 7:39. doi: 10.1186/1746-4269-7-39

PubMed Abstract | Crossref Full Text | Google Scholar

42. James PB, Wardle J, Steel A, and Adams J. Traditional, complementary and alternative medicine use in sub-saharan africa: A systematic review. BMJ Glob Health. (2018) 3:E000895. doi: 10.1136/Bmjgh-2018-000895

PubMed Abstract | Crossref Full Text | Google Scholar

43. NabuKenya I. Acute and sun-acute toxicity of ethanolic and aqueous extracts of tephrosia vogelii, vernonia amygdalina and senna occidentalis in rodents. Altern Integr Med. (2014) 3:4.

Google Scholar

44. Kiguba R, Ononge S, Karamagi C, and Bird SM. Herbal medicine use and linked suspected adverse drug reactions in A prospective cohort of Ugandan inpatients. BMC Complement Altern Med. (2016) 16:145. doi: 10.1186/S12906-016-1125-X

PubMed Abstract | Crossref Full Text | Google Scholar

45. Lubinga S, Kintu A, Atuhaire J, and Asiimwe S. Concomitant herbal medicine and antiretroviral therapy (Art) use among hiv patients in western Uganda: A cross-sectional analysis of magnitude and patterns of use, associated factors and impact on art adherence. AIDS Care. (2012) 24:1375–83. doi: 10.1080/09540121.2011.648600

PubMed Abstract | Crossref Full Text | Google Scholar

46. Mwaka AD, Mangi SP, and Okuku FM. Use of traditional and complementary medicines by cancer patients at a national cancer referral facility in A low-income country. Eur J Cancer Care. (2019) 28:E13158. doi: 10.1111/ecc.13158

PubMed Abstract | Crossref Full Text | Google Scholar

47. Maurice J. Mounting cancer burden tests africa’s health resources. Lancet. (2015) 385:2564–5. doi: 10.1016/S0140-6736(15)61148-5

PubMed Abstract | Crossref Full Text | Google Scholar

48. Kasilo OM, Lusamba-Dikassa PS, Mwikisa Ngenda C, and Trapsida J-M. An overview of the traditional medicine situation in the African region. Afr Health Monit. (2010), 7–15.

Google Scholar

49. WHO. Beijing Declaration. Geneva, Switzerland: WHO (2008). Available online at: http://wwwwhoint/medicines/areas/traditional/trm_beijingdeclarationenpdf?ua=1. (Accessed July 31, 2025).

Google Scholar

50. Block KI. Significance of natural product interactions in oncology. Integr Cancer Ther. (2013) 12:4–6. doi: 10.1177/1534735412467368

PubMed Abstract | Crossref Full Text | Google Scholar

51. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2021) 71:209–49. doi: 10.3322/Caac.21660

PubMed Abstract | Crossref Full Text | Google Scholar

52. Collaborators, G. T. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories 1990–2019: A systematic analysis from the global burden of disease study 2019. Lancet (London England). (2021) 397:2337. doi: 10.1016/S0140-6736(21)01169-7

PubMed Abstract | Crossref Full Text | Google Scholar

53. Dai X, Ng M, Gil GF, Morgan BW, Anderson JA, Adnani QES, et al. The epidemiology and burden of smoking in countries of the association of southeast asian nations (Asean), 1990–2021: findings from the global burden of disease study 2021. Lancet Public Health. (2025) 10:E442–55. doi: 10.1016/S2468-2667(24)00326-8

PubMed Abstract | Crossref Full Text | Google Scholar

54. WHO. Who Report On The Global Tobacco Epidemic 2017. Geneva, Switzerland: World Health Organization (2017). Retrieved September 11, 2018.

Google Scholar

55. Kamaraju S, Drope J, Sankaranarayanan R, and Shastri S. (2020). Cancer prevention in low-resource countries: an overview of the opportunity, in: American Society Of Clinical Oncology Educational Book. American Society Of Clinical Oncology. Annual Meeting, Alexandria, Virginia, USA: American Society of Clinical Oncology, Vol. 1.

PubMed Abstract | Google Scholar

56. Henriksen L. Comprehensive tobacco marketing restrictions: promotion, packaging, price and place. Tob Control. (2012) 21:147–53. doi: 10.1136/Tobaccocontrol-2011-050416

PubMed Abstract | Crossref Full Text | Google Scholar

57. Niaz K, Maqbool F, Khan F, Bahadar H, Ismail Hassan F, and Abdollahi M. Smokeless tobacco (Paan and gutkha) consumption, prevalence, and contribution to oral cancer. Epidemiol Health. (2017) 39:E2017009. doi: 10.4178/Epih.E2017009

PubMed Abstract | Crossref Full Text | Google Scholar

58. Sinha DN, Gupta PC, Kumar A, Bhartiya D, Agarwal N, Sharma S, et al. The poorest of poor suffer the greatest burden from smokeless tobacco use: A study from 140 countries. Nicotine Tob Res. (2018) 20:1529–32. doi: 10.1093/Ntr/Ntx276

PubMed Abstract | Crossref Full Text | Google Scholar

59. Stanaway JD, Afshin A, Gakidou E, Lim SS, Abate D, Abate KH, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories 1990–2017: A systematic analysis for the global burden of disease study 2017. Lancet. (2018) 392:1923–94. doi: 10.1016/S0140-6736(18)32225-6

PubMed Abstract | Crossref Full Text | Google Scholar

60. Chaloupka FJ. (2009). The Economics Of Tobacco Taxation. Retrieved May, 20, 2014.

Google Scholar

61. Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. Cancer incidence and mortality worldwide: iarc cancerbase. Globocan. (2012) 2013:11. doi: 10.1002/ijc.29210

PubMed Abstract | Crossref Full Text | Google Scholar

62. Chaloupka FJ, Yurekli A, and Fong GT. Tobacco taxes as a tobacco control strategy. Tobacco Control. (2012) 21:172–80. doi: 10.1136/tobaccocontrol-2011-050417

PubMed Abstract | Crossref Full Text | Google Scholar

63. WHO. Who Report On The Global Tobacco Epidemic 2021: Addressing New And Emerging Products. Geneva, Switzerland: World Health Organization (2021).

Google Scholar

64. Noar SM, Francis DB, Bridges C, Sontag JM, Ribisl KM, and Brewer NT. The impact of strengthening cigarette pack warnings: systematic review of longitudinal observational studies. Soc Sci Med. (2016) 164:118–29. doi: 10.1016/j.socscimed.2016.06.011

PubMed Abstract | Crossref Full Text | Google Scholar

65. Tan CE and Glantz SA. Association between smoke-free legislation and hospitalizations for cardiac, cerebrovascular, and respiratory diseases: A meta-analysis. Circulation. (2012) 126:2177–83. doi: 10.1161/CIRCULATIONAHA.112.121301

PubMed Abstract | Crossref Full Text | Google Scholar

66. Gupta AK, Kanaan M, Siddiqi K, Sinha DN, and Mehrotra R. Oral cancer risk assessment for different types of smokeless tobacco products sold worldwide: A review of reviews and meta-analyses. Cancer Prev Res. (2022) 15:733–46. doi: 10.1158/1940-6207.CAPR-21-0567

PubMed Abstract | Crossref Full Text | Google Scholar

67. Gupta B, Johnson NW, and Kumar N. Global epidemiology of head and neck cancers: A continuing challenge. Oncology. (2016) 91:13–23. doi: 10.1159/000446117

PubMed Abstract | Crossref Full Text | Google Scholar

68. Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Piñeros M, Znaor A, et al. Cancer statistics for the year 2020: an overview. Int J Cancer. (2021) 149:778–89. doi: 10.1002/ijc.33588

PubMed Abstract | Crossref Full Text | Google Scholar

69. Fichtenberg CM and Glantz SA. Effect of smoke-free workplaces on smoking behaviour: systematic review. Bmj. (2002) 325:188. doi: 10.1136/bmj.325.7357.188

PubMed Abstract | Crossref Full Text | Google Scholar

70. Wild CP, Weiderpass E, and Stewart BW. World cancer report. Lyon, France: International Agency for Research on Cancer (2020).

Google Scholar

71. Rehm J and Shield KD. Alcohol use and cancer in the european union. Eur Addict Res. (2021) 27:1–8. doi: 10.1159/000507017

PubMed Abstract | Crossref Full Text | Google Scholar

72. WHO. Global Status Report On Alcohol And Health. Geneva, Switzerland: World Health Organization (2018).

Google Scholar

73. Parry CD, Patra J, and Rehm J. Alcohol consumption and non-communicable diseases: epidemiology and policy implications. Addiction. (2011) 106:1718–24. doi: 10.1111/j.1360-0443.2011.03605.x

PubMed Abstract | Crossref Full Text | Google Scholar

74. MaChado Í.E, Monteiro MG, Monteiro RA, Lana FCF, Gawryszewski VP, and Malta DC. Trends in mortality rates where alcohol was A necessary cause of death in Brazil 2000–2013. Rev Panamericana Salud Pública. (2018) 42:E9. doi: 10.26633/RPSP.2018.9

PubMed Abstract | Crossref Full Text | Google Scholar

75. Steenland K, Mannetje A, Boffetta P, Stayner L, Attfield M, Chen J, et al. Pooled exposure–response analyses and risk assessment for lung cancer in 10 cohorts of silica-exposed workers: an iarc multicentre study. Cancer Causes Control. (2001) 12:773–84. doi: 10.1023/A:1012214102061

PubMed Abstract | Crossref Full Text | Google Scholar

76. Chang ET and Delzell E. Systematic review and meta-analysis of glyphosate exposure and risk of lymphohematopoietic cancers. J Environ Sci Health Part B. (2016) 51:402–34. doi: 10.1080/03601234.2016.1142748

PubMed Abstract | Crossref Full Text | Google Scholar

77. Alavanja MC, Samanic C, Dosemeci M, Lubin J, Tarone R, Lynch CF, et al. Use of agricultural pesticides and prostate cancer risk in the agricultural health study cohort. Am J Epidemiol. (2003) 157:800–14. doi: 10.1093/aje/kwg040

PubMed Abstract | Crossref Full Text | Google Scholar

78. Zhao Y, Wang S, Aunan K, Seip HM, and Hao J. Air pollution and lung cancer risks in China—A meta-analysis. Sci Total Environ. (2006) 366:500–13. doi: 10.1016/j.scitotenv.2005.10.010

PubMed Abstract | Crossref Full Text | Google Scholar

79. Kurmi OP, Semple S, Simkhada P, Smith WCS, and Ayres JG. Copd and chronic bronchitis risk of indoor air pollution from solid fuel: A systematic review and meta-analysis. Thorax. (2010) 65:221–8. doi: 10.1136/thx.2009.124644

PubMed Abstract | Crossref Full Text | Google Scholar

80. Barone-Adesi F, Chapman RS, Silverman DT, He X, Hu W, Vermeulen R, et al. Risk of lung cancer associated with domestic use of coal in Xuanwei, China: retrospective cohort study. Bmj. (2012) 345:e4414. doi: 10.1136/bmj.e5414

PubMed Abstract | Crossref Full Text | Google Scholar

81. Lan Q, Chapman RS, Schreinemachers DM, Tian L, and He X. Household stove improvement and risk of lung cancer in xuanwei, China. J Natl Cancer Institute. (2002) 94:826–35. doi: 10.1093/jnci/94.11.826

PubMed Abstract | Crossref Full Text | Google Scholar

82. IARC. IARC Monographs On The Evaluation Of Carcinogenic Risks To Humans. Supplement 6, Genetic And Related Effects: An Updating Of Selected Iarc Monographs From Volumes 1 To 42. Genetic And Related Effects. An Updating Of Selected Iarc Monographs From Volumes 1 To 42. Report Of An Ad-Hoc Iarc Working Group Which Met In Lyon, 2-9 December 1986, International Agency For Research On Cancer. Lyon, France: International Agency for Research on Cancer (1987).

Google Scholar

83. UKHSA. Mercury: Health Effects, Incident Management And Toxicology (2023). Available online at: https://uk-air.defra.gov.uk/assets/documents/annualreport/air_pollution_uk_2023_issue_1.pdf?utm_source=chatgpt.com (Accessed 31 August 2025).

Google Scholar

84. Bonjour S, Adair-Rohani H, Wolf J, Bruce N, Mehta S, Prüss-Üstün A, et al. Solid fuel use for household cooking: Country and regional estimates for 1980–2010. Environmental Health Perspectives. (2013) 121(7):784–90. doi: 10.1289/ehp.1205987

PubMed Abstract | Crossref Full Text | Google Scholar

85. Smith KR, Bruce N, Balakrishnan K, Adair-Rohani H, Balmes J, Chafe Z, et al. Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. Annu Rev Public Health. (2014) 35:185–206. doi: 10.1146/annurev-publhealth-032013-182356

PubMed Abstract | Crossref Full Text | Google Scholar

86. Fullerton DG, Bruce N, and Gordon SB. Indoor air pollution from biomass fuel smoke is a major health concern in the developing world. Transactions of the Royal Society of Tropical Medicine and Hygiene. (2008) 102(9):843–51.

PubMed Abstract | Google Scholar

87. Loomis D, Grosse Y, Lauby-Secretan B, El Ghissassi F, Bouvard V, Benbrahim-Tallaa L, et al. The carcinogenicity of outdoor air pollution. Lancet Oncol. (2013) 14:1262–3. doi: 10.1016/S1470-2045(13)70487-X

PubMed Abstract | Crossref Full Text | Google Scholar

88. Kim K-H, Jahan SA, and Kabir E. A review of diseases associated with household air pollution due to the use of biomass fuels. J Hazardous Mater. (2011) 192:425–31. doi: 10.1016/j.jhazmat.2011.05.087

PubMed Abstract | Crossref Full Text | Google Scholar

89. Rehfuess EA, Puzzolo E, Stanistreet D, Pope D, and Bruce NG. Enablers and barriers to large-scale uptake of improved solid fuel stoves: A systematic review. Environ Health Perspect. (2014) 122:120–30. doi: 10.1289/Ehp.1306639

PubMed Abstract | Crossref Full Text | Google Scholar

90. Cuesta-Mosquera A, Kothe H, Madueno L, Mubiru A, Muhongerva C, Müller T, et al. Improved cookstoves enhance household air quality and respiratory health in rural Rwanda. Sci Rep. (2025) 15:26065. doi: 10.1038/s41598-025-09863-6

PubMed Abstract | Crossref Full Text | Google Scholar

91. Van Gemert F, De Jong C, Kirenga B, Musinguzi P, Buteme S, Sooronbaev T, et al. Effects and acceptability of implementing improved cookstoves and heaters to reduce household air pollution: A fresh air study. NPJ Primary Care Respir Med. (2019) 29:32. doi: 10.1038/s41533-019-0144-8

PubMed Abstract | Crossref Full Text | Google Scholar

92. Dillon D, Reigh S, Rappazzo KM, Luben TJ, and Weaver AM. A systematic review and meta-analysis assessing the impact of improved cookstove technology trials (Icts) on household air pollution and human health in Sub-Saharan Africa. Curr Environ Health Rep. (2025) 12:8. doi: 10.1007/s40572-025-00476-9

PubMed Abstract | Crossref Full Text | Google Scholar

93. Reid J, Koppmann R, Eck T, and Eleuterio D. A review of biomass burning emissions part ii: intensive physical properties of biomass burning particles. Atmospheric Chem Phys. (2005) 5:799–825. doi: 10.5194/acp-5-799-2005

Crossref Full Text | Google Scholar

94. Sharma D and Jain S. Carcinogenic risk from exposure to pm2. 5 bound polycyclic aromatic hydrocarbons in rural settings. Ecotoxicol Environ Saf. (2020) 190:110135. doi: 10.1016/j.ecoenv.2019.110135

PubMed Abstract | Crossref Full Text | Google Scholar

95. Abdo M, Kanyomse E, Alirigia R, Coffey ER, Piedrahita R, Diaz-Sanchez D, et al. Health impacts of a randomized biomass cookstove intervention in Northern Ghana. BMC Public Health. (2021) 21:2211. doi: 10.1186/s12889-021-12164-y

PubMed Abstract | Crossref Full Text | Google Scholar

96. Landrigan PJ, Fuller R, Acosta NJR, Adeyi O, Arnold R, Basu NN, et al. The lancet commission on pollution and health. Lancet. (2018) 391:462–512. doi: 10.1016/S0140-6736(17)32345-0

PubMed Abstract | Crossref Full Text | Google Scholar

97. Cohen AJ, Brauer M, Burnett R, Anderson HR, Frostad J, Estep K, et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. Lancet. (2017) 389:1907–18. doi: 10.1016/S0140-6736(17)30505-6

PubMed Abstract | Crossref Full Text | Google Scholar

98. IARC A. Metals, fibres, and dusts. IARC monographs on the evaluation of carcinogenic risks to humans. World Health Organ. (2012) 100:11–465.

Google Scholar

99. UNEP. Global Chemicals Outlook Ii-From Legacies To Innovative Solutions: Implementing The 2030 Agenda For Sustainable Development. Nairobi, Kenya: United Nations Environment Programme–UNEP (2019).

Google Scholar

100. Smith AH, Lingas EO, and Rahman M. Contamination of drinking-water by arsenic in Bangladesh: A public health emergency. Bull World Health Organ. (2000) 78:1093–103.

PubMed Abstract | Google Scholar

101. Grant K, Goldizen FC, Sly PD, Brune MN, Neira M, Van Den Berg M, et al. Health consequences of exposure to E-waste: A systematic review. Lancet Glob Health. (2013) 1:E350–61. doi: 10.1016/S2214-109x(13)70101-3

PubMed Abstract | Crossref Full Text | Google Scholar

102. Prüss-Üstün A, Wolf J, Corvalán C, Bos R, and Neira M. Preventing Disease Through Healthy Environments: A Global Assessment Of The Burden Of Disease From Environmental Risks. Geneva, Switzerland: World Health Organization (2016).

Google Scholar

103. Marchese MJ, Gerson JR, Berky AJ, Driscoll C, Fernandez LE, Hsu-Kim H, et al. Diet choices determine mercury exposure risks for people living in gold mining regions of Peru. Environ Res: Health. (2024) 2:035001. doi: 10.1088/2752-5309/ad3d79

Crossref Full Text | Google Scholar

104. Nriagu JO, Blankson ML, and Ocran K. Childhood lead poisoning in africa: A growing public health problem. Sci Total Environ. (1996) 181:93–100. doi: 10.1016/0048-9697(95)04954-1

PubMed Abstract | Crossref Full Text | Google Scholar

105. Shaji E, Santosh M, Sarath K, Prakash P, Deepchand V, and Divya B. Arsenic contamination of groundwater: A global synopsis with focus on the Indian peninsula. Geosci Front. (2021) 12:101079. doi: 10.1016/j.gsf.2020.08.015

Crossref Full Text | Google Scholar

106. Kato I, Watanabe-Meserve H, Koenig KL, Baptiste MS, Lillquist PP, Frizzera G, et al. Pesticide product use and risk of non-hodgkin lymphoma in women. Environ Health Perspect. (2004) 112:1275–81. doi: 10.1289/ehp.7070

PubMed Abstract | Crossref Full Text | Google Scholar

107. Rigi P, Kamani H, Ansari H, Mohammadi L, and Dargahi A. Health risk assessment of polycyclic aromatic hydrocarbon compounds (Pahs) in grilled meats in zahedan city of Iran. Sci Rep. (2025) 15:24267. doi: 10.1038/s41598-025-03807-w

PubMed Abstract | Crossref Full Text | Google Scholar

108. Huang W, Huang Y, Chen Y, Tan W, and Wu K. A comprehensive review of the human body burden of persistent organic pollutants (Pops) and associated health effects in an E-waste recycling area in China. Discov Environ. (2023) 1:13. doi: 10.1007/s44274-023-00015-z

Crossref Full Text | Google Scholar

109. Raju TV, Veluri K, and Venugopal K. Rural to urban: unraveling consumer behavior changes in the wake of urbanization. Int J Innovative Res Practices (Ijirp) Forum For Intellectual Academicians Res. (2024) 12:17–26.

Google Scholar

110. Smith LM, Turner PC, and Wild CP. Aflatoxins in maize and groundnuts: Implications for human health in developing countries. Food Control. (2017) 73:1–7. doi: 10.1016/j.foodcont.2016.08.035

Crossref Full Text | Google Scholar

111. Liu Y, Zhang W, Liang B, Zhang Y, Zhong X, Luo X, et al. Probabilistic risk assessment of dietary exposure to aflatoxin B₁ in foodstuffs in Guangzhou, China. Scientific Reports. (2020) 10(1):7973. doi: 10.1038/s41598-020-64295-8

PubMed Abstract | Crossref Full Text | Google Scholar

112. World Cancer Research Fund. (2018). Diet, nutrition, physical activity and cancer: A global perspective. Continuous Update Project Expert Report 2018. Available online at: https://www.wcrf.org/dietandcancer

Google Scholar

113. Bouvard V, Loomis D, Guyton KZ, Grosse Y, El Ghissassi F, Benbrahim-Tallaa L, et al. Carcinogenicity of consumption of red and processed meat. The Lancet Oncology. (2015) 16(16):1599–600. doi: 10.1016/S1470-2045(15)00444-1

PubMed Abstract | Crossref Full Text | Google Scholar

114. International Agency for Research on Cancer (IARC). 2018. Red meat and processed meat. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Volume 114. Available online at: https://publications.iarc.who.int/Book-And-Report-Series/Iarc-Monographs-On-The-Identification-Of-Carcinogenic-Hazards-To-Humans/Red-Meat-And-Processed-Meat-2018

Google Scholar

115. WHO. World Health Assembly Adopts Global Strategy To Accelerate Cervical Cancer Elimination (2020).

Google Scholar

116. Islami F, Goding Sauer A, Miller KD, Siegel RL, Jemal A, et al. Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States. CA: A Cancer Journal for Clinicians. (2019) 69(1):31–54. doi: 10.3322/caac.21440

PubMed Abstract | Crossref Full Text | Google Scholar

117. Posadzki P, Watson LK, and Ernst E. Contamination and adulteration of herbal medicinal products (HMPs): An overview of systematic reviews. European Journal of Clinical Pharmacology. (2013) 69(3):295–307. doi: 10.1007/s00228-012-1396-1

PubMed Abstract | Crossref Full Text | Google Scholar

118. Ernst E. Herbal medicines: Balancing benefits and risks. Journal of Clinical Pharmacy and Therapeutics. (2019) 44(2):187–92. doi: 10.1111/jcpt.12800

PubMed Abstract | Crossref Full Text | Google Scholar

119. Gyasi RM, Mensah CM, Adu-Gyamfi S, Amoah PA, et al. Predictors of traditional medicines utilisation in the Ghanaian health care practice: Interrogating the Ashanti situation. Journal of Ethnobiology and Ethnomedicine. (2015) 11:62. doi: 10.1186/s13002-015-0045-7

PubMed Abstract | Crossref Full Text | Google Scholar

120. World Health Organization. 2019. Diseases caused by tobacco smoke. World Health Organization. Available online at: https://apps.who.int/iris/bitstream/handle/10665/324846/WHO-NMH-PND-19.1-eng.pdf

Google Scholar

121. Jha P, Ramasundarahettige C, Landsman V, Rostron B, Thun M, Anderson RN, et al. Disparities in smoking-caused disease outcomes and mortality in the United States. The National Academies Press. (2021) doi: 10.17226/61481

Crossref Full Text | Google Scholar

122. Gupta PC, Arora M, Sinha DN, Asma S, Parascandola M, et al. Smokeless tobacco and public health in India. Ministry of Health & Family Welfare, Government of India. (2016). Available online at: https://www.researchgate.net/publication/327879294_Relationship_between_type_of_smokeless_tobacco_risk_of_cancer_A_systematic_review

Google Scholar

123. International Agency for Research on Cancer (IARC). Smokeless tobacco and areca nut. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Volume 100E. (2020). Available online at: https://publications.iarc.who.int/_publications/media/download/5261/886287d5fbcfa397b08ba3cd41a5efa21491ced2.pdf

Google Scholar

124. Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, et al. Alcohol consumption and site-specific cancer risk: A comprehensive dose-response meta-analysis. Br J Cancer. (2015) 112:580–93. doi: 10.1038/Bjc.2014.579

PubMed Abstract | Crossref Full Text | Google Scholar

125. Shield KD, Parry CDH, and Rehm J. Chronic diseases and conditions related to alcohol use. Alcohol Research: Current Reviews. (2013) 35(2):155–73. Available online at: https://pubmed.ncbi.nlm.nih.gov/24881324/

Google Scholar

126. LaDou J. The case for a global ban on asbestos. Environmental Health Perspectives. (2010) 118(7):897–901. doi: 10.1289/e

PubMed Abstract | Crossref Full Text | Google Scholar

127. Schinasi L, De Roos AJ, Ray RM, Edlefsen KL, Parks CG, Howard BV, et al. Insecticide exposure and farm history in relation to risk of lymphomas and leukemias in the Women’s Health Initiative observational study cohort. Ann Epidemiol. (2015) 25(11):803–10. doi: 10.1016/j.annepidem.2015.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

128. Steenland K and Ward E. Lung cancer and radon: Pooled analysis of uranium miners. Environmental Health Perspectives. (2020) 128(7):77001. doi: 10.1289/EHP10669

PubMed Abstract | Crossref Full Text | Google Scholar

129. Kim GN, Ho S, Saulino D, and Liu X. Severe protein-calorie malnutrition-associated hepatic steatosis in A woman who had roux-en-Y gastric bypass for morbid obesity thirteen years ago. Gastroenterol Res. (2021) 14:129. doi: 10.14740/gr1378

PubMed Abstract | Crossref Full Text | Google Scholar

130. Mahé A. The practice of skin-bleaching for a cosmetic purpose in immigrant communities. The Journal of Travel Medicine. (2014) 21(5):355–8. doi: 10.1111/jtm.12118

PubMed Abstract | Crossref Full Text | Google Scholar

131. Gore AC, Chappell VA, Fenton SE, Flaws JA, et al. (2015)

Google Scholar

132. Darbre PD. Endocrine disruptors and obesity. Curr Obes Rep. (2017) 6:18–27. doi: 10.1007/S13679-017-0240-4

PubMed Abstract | Crossref Full Text | Google Scholar

133. Bergman Å, Heindel JJ, Jobling S, Kidd KA, and Zoeller RT. Endocrine Disrupting Chemicals-2012. Geneva: United Nations Environment Programme And The World Health Organization (2013).

Google Scholar

134. Dodson RE, Nishioka M, Standley LJ, Perovich LJ, Brody JG, and Rudel RA. Endocrine disruptors and asthma-associated chemicals in consumer products. Environ Health Perspect. (2012) 120:935–43. doi: 10.1289/Ehp.1104052

PubMed Abstract | Crossref Full Text | Google Scholar

135. Alavanja MC, Ross MK, and Bonner MR. Increased cancer burden among pesticide applicators and others due to pesticide exposure. CA: A Cancer J For Clin. (2013) 63:120–42. doi: 10.3322/caac.21170

PubMed Abstract | Crossref Full Text | Google Scholar

136. Steinemann A. Ten questions concerning air fresheners and indoor built environments. Building Environ. (2017) 111:279–84. doi: 10.1016/j.buildenv.2016.11.009

Crossref Full Text | Google Scholar

137. Herfel ES. Developing A Stigma Responsive Educational Program To Promote Uptake Of Hpv-Based Cervical Cancer Screening And Treatment In Kisumu, Kenya. Durham, United States: Duke University (2022).

Google Scholar

138. Modibbo FI, Dareng E, Bamisaye P, Jedy-Agba E, Adewole A, Oyeneyin L, et al. Qualitative study of barriers to cervical cancer screening among Nigerian women. BMJ Open. (2016) 6:E008533. doi: 10.1136/bmjopen-2015-008533

PubMed Abstract | Crossref Full Text | Google Scholar

139. Guardian T. ‘I Wish I’d Had Someone Like Me To Talk To’: The Mothers Helping Fight Cervical Cancer In Malawi (2024). Available online at: https://www.theguardian.com/global-development/2024/feb/06/mothers-helping-fight-cervical-cancer-hpv-vaccination-in-malawi?utm_source=chatgpt.com (Accessed 31 August 2025).

Google Scholar

140. Kishore J, Ahmad I, Kaur R, and Mohanta P. Beliefs and perceptions about cancers among patients attending radiotherapy opd in delhi, India. Asian Pac J Cancer Prev. (2008) 9:155–8.

PubMed Abstract | Google Scholar

141. Fujisawa D and Hagiwara N. Cancer stigma and its health consequences. Curr Breast Cancer Rep. (2015) 7:143–50. doi: 10.1007/s12609-015-0185-0

Crossref Full Text | Google Scholar

142. Msoka EF, Dwarampudi S, Billings R, Stone RJ, Mwageni RE, Beavers A, et al. The role of traditional healers along the cancer care continuum in sub-saharan africa: A scoping review. Arch Public Health. (2025) 83:35. doi: 10.1186/S13690-025-01521-7

PubMed Abstract | Crossref Full Text | Google Scholar

143. Ermiah E, Abdalla F, Buhmeida A, Larbesh E, Pyrhönen S, and Collan Y. Diagnosis delay in Libyan female breast cancer. BMC Res Notes. (2012) 5:452. doi: 10.1186/1756-0500-5-452

PubMed Abstract | Crossref Full Text | Google Scholar

144. Kumar A, Bhagabaty SM, Tripathy JP, Selvaraj K, Purkayastha J, and Singh R. Delays in diagnosis and treatment of breast cancer and the pathways of care: A mixed methods study from A tertiary cancer centre in north east India. Asian Pacific J Cancer Prevention: Apjcp. (2019) 20:3711. doi: 10.31557/APJCP.2019.20.12.3711

PubMed Abstract | Crossref Full Text | Google Scholar

145. Pakseresht S, Tavakolinia S, and Leili EK. Determination of the association between perceived stigma and delay in help-seeking behavior of women with breast cancer. Maedica. (2021) 16:458. doi: 10.26574/maedica.2021.16.3.463

PubMed Abstract | Crossref Full Text | Google Scholar

146. Gao W, Wang D, and Huang Y. Designing A deep learning-driven resource-efficient diagnostic system for metastatic breast cancer: reducing long delays of clinical diagnosis and improving patient survival in developing countries. Cancer Inf. (2023) 22:11769351231214446. doi: 10.1177/11769351231214446

PubMed Abstract | Crossref Full Text | Google Scholar

147. UN. Political Declaration Of The High-Level Meeting Of The General Assembly On The Prevention And Control Of Non-Communicable Diseases (Document A/Res/66.2). High Level Meeting On Prevention And Control Of Non-Communicable Diseases. New York: United Nations (2011).

Google Scholar

148. Prager GW, Braga S, Bystricky B, Qvortrup C, Criscitiello C, Esin E, et al. Global cancer control: responding to the growing burden, rising costs and inequalities in access. Esmo Open. (2018) 3:E000285. doi: 10.1136/Esmoopen-2017-000285

PubMed Abstract | Crossref Full Text | Google Scholar

149. Gopalappa C, Guo J, Meckoni P, Munkhbat B, Pretorius C, Lauer J, et al. A two-step markov processes approach for parameterization of cancer state-transition models for low- and middle-income countries. Med Decis Making. (2018) 38:520–30. doi: 10.1177/0272989x18759482

PubMed Abstract | Crossref Full Text | Google Scholar

150. WHO. Who: Global Health Expenditure Database (2022). Available online at: https://apps.who.int/nha/database/country_profile/index/en (Accessed 01 February 2025).

Google Scholar

151. Mwaka AD, Achan J, and Orach CG. Traditional health practices: A qualitative inquiry among traditional health practitioners in northern Uganda on becoming a healer, perceived causes of illnesses, and diagnostic approaches. PloS One. (2023) 18:E0282491. doi: 10.1371/journal.pone.0282491

PubMed Abstract | Crossref Full Text | Google Scholar

152. Rumgay H, Shield K, Charvat H, Ferrari P, Sornpaisarn B, Obot I, et al. Global burden of cancer in 2020 attributable to alcohol consumption: A population-based study. Lancet Oncol. (2021) 22:1071–80. doi: 10.1016/S1470-2045(21)00279-5

PubMed Abstract | Crossref Full Text | Google Scholar

153. Romieu I, Margetts B, Barquera S, Gomes Fda S, Gunter M, Hwalla N, et al. Strengthening the evidence base for nutrition and cancer in low and middle income countries. J Glob Health. (2016) 6:20306. doi: 10.7189/Jogh.06.020306

PubMed Abstract | Crossref Full Text | Google Scholar

154. Jernigan D, Noel J, Landon J, Thornton N, and Lobstein T. Alcohol marketing and youth alcohol consumption: A systematic review of longitudinal studies published since 2008. Addiction. (2017) 112:7–20. doi: 10.1111/add.13591

PubMed Abstract | Crossref Full Text | Google Scholar

155. Kay M, Santos J, and Takane M. Mhealth: new horizons for health through mobile technologies. World Health Organ. (2011) 64:66–71.

Google Scholar

156. Piette JD, List J, Rana GK, Townsend W, Striplin D, and Heisler M. Mobile health devices as tools for worldwide cardiovascular risk reduction and disease management. Circulation. (2015) 132:2012–27. doi: 10.1161/CIRCULATIONAHA.114.008723

PubMed Abstract | Crossref Full Text | Google Scholar

157. GSMA. The mobile economy 2020. London, England, United Kingdom: GSM Association (2020).

Google Scholar

158. Desouza SI, Rashmi MR, Vasanthi AP, Joseph SM, and Rodrigues R. Mobile phones: the next step towards healthcare delivery in rural India? PloS One. (2014) 9:E104895. doi: 10.1371/Journal.Pone.0104895

PubMed Abstract | Crossref Full Text | Google Scholar

159. Atun R, Jaffray DA, Barton MB, Bray F, Baumann M, Vikram B, et al. Expanding global access to radiotherapy. Lancet Oncol. (2015) 16:1153–86. doi: 10.1016/S1470-2045(15)00222-3

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: traditional medicine, environmental exposures, cultural practices, low- and middle-income countries, cancer risk, prevention strategies, dietary habits, mobile health

Citation: Miya TV, Marima R, Marutha T, Luvhengo TE, Mkhize-Kwitshana Z, Chauke-Malinga N, Mazibuko G and Dlamini Z (2025) Traditional medicine, environmental exposures, and cultural practices in cancer risk: insights from low- and middle-income countries. Front. Oncol. 15:1623895. doi: 10.3389/fonc.2025.1623895

Received: 06 May 2025; Accepted: 08 September 2025;
Published: 01 October 2025.

Edited by:

Abdelbaset Mohamed Elasbali, Jouf University, Saudi Arabia

Reviewed by:

Husam Qanash, University of Ha’il, Saudi Arabia
Eman El Azab, Al Jouf University, Saudi Arabia

Copyright © 2025 Miya, Marima, Marutha, Luvhengo, Mkhize-Kwitshana, Chauke-Malinga, Mazibuko and Dlamini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zodwa Dlamini, em9kd2EuZGxhbWluaUB1cC5hYy56YQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.