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

MINI REVIEW article

Front. Public Health, 23 September 2025

Sec. Public Health Education and Promotion

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1667261

The impact of oral health disparities on smoking prevalence

  • 1Department of Biomedical Sciences, University of the Pacific, Arthur A. Dugoni, School of Dentistry, San Francisco, CA, United States
  • 2Dental Surgery Program, University of the Pacific, Arthur A. Dugoni, School of Dentistry, San Francisco, CA, United States
  • 3Department of Clinical Oral Health Care, University of the Pacific, Arthur A. Dugoni, School of Dentistry, San Francisco, CA, United States

Smoking increases the risk of heart disease, cancer, lung infections, and diabetes, and causes oral health problems. The prevalence of smoking is significantly influenced by intersecting factors such as socioeconomic status, racial and ethnic marginalization, and differing cultural practices. Importantly, minority groups experience earlier tobacco exposure and reduced access to education and cessation programs. A comprehensive analysis of individual characteristics is essential for predicting and effectively addressing tobacco-related oral and systemic health disparities. Education and prevention initiatives are key to decreasing the prevalence of smoking in populations affected by structural inequities.

1 Introduction

Smoking is a leading behavioral risk factor for various health issues, causing over 175 million deaths and 4–30 billion years of life lost globally from 1990 to 2021 (1). This addictive habit involves inhaling tobacco smoke with over 7,000 chemicals, including about 70 known carcinogens (2, 3). Around 40 million US adults smoke cigarettes, and nearly 4.7 million adolescents use tobacco products, mainly e-cigarettes (2, 3). Despite public health efforts, alternatives to traditional smoking, like e-cigarettes, have emerged (4, 5).

Tobacco use increases the risk of oral diseases and systemic conditions like cardiovascular disease and cancer (2, 3, 6, 7). It harms overall health, causes inflammation, impairs immune function, and affects embryonic development (2). Secondhand smoke is linked to cancer and respiratory and cardiovascular diseases (2). Although e-cigarettes are often marketed as safer than combustible tobacco, evidence indicates that they still pose measurable risks to oral health (8).

This review advances the central argument that oral health disparities are not only consequences of tobacco use but also function as mediators and amplifiers of smoking-related health outcomes. While the biological toxicity of tobacco products has been well described, less attention has been given to how these effects intersect with social determinants of health. Discrimination, inequality, and limited access to care disproportionately affect minority and underserved groups, shaping both tobacco exposure and oral health vulnerability (9). By integrating biological mechanisms with structural and cultural factors, this review highlights oral health as a critical but underexplored pathway linking tobacco use to broader health inequities.

Health disparities, rooted in discrimination and inequality, disproportionately affect minority groups and contribute to significant differences in oral health (9), as represented in Figure 1. These inequities magnify the harms of tobacco use, compounding risks at both biological and social levels. Prevention and education remain essential, as smoking damages nearly every organ system (2, 10). Importantly, tobacco-related risks also extend to non-smokers through secondhand exposure, adding billions of dollars in healthcare costs and lost productivity each year (11, 12).

Figure 1
Diagram illustrating factors leading to oral health disparities, including gender, culture, community location, age, race/ethnicity, and socioeconomic status. These disparities contribute to increased smoking, heart disease, cancer, lung infections, and diabetes. Arrows point from factors to a person silhouette, then to health outcomes.

Figure 1. Conceptual model of tobacco-related oral health disparities. Social determinants of health shape disparities in oral health, which in turn influence tobacco behaviors such as smoking, e-cigarette use, and cessation challenges. These behaviors contribute to both oral and systemic health consequences, including increased morbidity and mortality.

Understanding smoking through the lens of oral health disparities reframes tobacco’s impact as both a biological insult and a social amplifier of disease. Factors such as socio-economic status, race, gender, culture, and geographic residency influence smoking patterns and related outcomes (13). Ethnic minorities and rural populations often face higher stress and fewer resources, compounding risks (14), while cultural norms may reinforce tobacco use as a social activity or coping strategy (15). Recognizing these overlapping vulnerabilities underscores the urgency of prevention and education efforts, not only to reduce smoking prevalence but also to mitigate the disproportionate burden carried by at-risk populations. In this way, this review positions oral health disparities at the center of tobacco-related disease research and public health policy.

To identify relevant studies for this review, a systematic literature search was conducted using keywords including combinations of terms related to “tobacco,” “cigarette,” “e-cigarette,” “vaping,” “oral health,” “periodontitis,” “health disparities,” “social determinants,” and “smoking cessation.” Inclusion criteria were: original research, systematic reviews, or meta-analyses published in English from 2000 onward, focusing on tobacco exposure and oral or systemic health outcomes, with attention to social determinants or population disparities. Studies were excluded if they were case reports, or not directly addressing tobacco-related health impacts.

2 Factors affecting smoking rates and health

This review is guided by the social determinants of health and intersectionality frameworks. The social determinants model emphasizes how structural factors—such as socioeconomic status, education, and healthcare access—shape both tobacco use and oral health outcomes. Intersectionality highlights that these determinants rarely act in isolation; instead, overlapping identities such as race, gender, and location interact to create compounded vulnerabilities (Figure 1). By applying these frameworks, we structured our study to show not only the biological effects of tobacco but also how social and structural inequities amplify oral health disparities. This approach provides oral health disparities as central mediators of tobacco-related disease burden.

2.1 Socioeconomic status

Socioeconomic status (SES), typically measured by income, education, and occupation, is a key determinant of both tobacco use and oral health outcomes. Individuals with lower SES often face a disproportionate burden of risk factors, including limited access to preventive services, reduced awareness of health risks, and greater exposure to environments where tobacco use is normalized (16). These conditions contribute to persistent health disparities and exacerbate the global burden of tobacco-related diseases.

Education levels also correlate with smoking prevalence. In countries like India, Iran, South Korea, Sweden, and the Czech Republic, lower education levels are associated with higher smoking rates and lower cessation rates (17). Adults with lower educational attainment and income levels are significantly more likely to smoke, less likely to attempt cessation, and less successful when they do (17, 18). Limited access to cessation programs, pharmacological aids, and healthcare coverage further compounds these disparities (1921). As a result, tobacco use among disadvantaged groups imposes disproportionate health and economic costs, perpetuating cycles of inequality. Studies show higher smoking prevalence in lower socioeconomic groups.

In low- and middle-income countries, the SES–tobacco relationship shows a different and more complex pattern. For example, in China, smoking prevalence is often higher among wealthier, more educated adults compared to their lower-income counterparts, which contrasts with patterns in high-income countries (17, 22). Meanwhile, in South Asia, tobacco use is strongly concentrated in poorer populations, contributing to alarmingly high levels of periodontal disease; an Indian survey reported periodontitis in over 70% of adults, particularly among low-income tobacco users (23). In Eastern Europe, dentists highlight socioeconomic barriers to adequate periodontal risk management, while in Sub-Saharan Africa, reviews emphasize that structural inequities, such as the absence of biobanks and diagnostic infrastructure, further limit progress (24, 25).

These findings underscore that SES shapes tobacco use and oral health outcomes differently across global contexts. In high-income countries, smoking is increasingly concentrated in marginalized populations, while in low- and middle-income countries the association is shaped by aggressive tobacco industry marketing and diverse cultural and economic dynamics. Addressing these disparities requires context-specific policies, including tailored cessation interventions, increased investment in oral health infrastructure, and stronger regulatory measures to counter tobacco industry targeting in vulnerable populations.

2.2 Age

Age is a critical determinant of smoking behavior and its oral health consequences. Tobacco initiation typically occurs in adolescence or early adulthood, while cumulative exposure increases the severity of periodontal disease and oral cancers later in life (26). Younger populations are particularly vulnerable to peer and environmental influences, while older adults often face compounded risks due to lifelong exposure and comorbidities (9, 27).

Tobacco use is disproportionately concentrated among young adults in England, with nearly 90% of smokers starting before the age of 18 (16). Recent trends show an alarming rise in e-cigarette use among adolescents, which may act as a gateway to combustible tobacco (28). Risk behaviors during adolescence, such as lack of parental supervision, exposure to smokers, low self-esteem, and depressive symptoms, increase tobacco use (26). Foster care environments, which are less structured, contribute to higher smoking rates and risky smoking practices among youth (29).

Patterns of tobacco use by age in low- and middle-income countries vary but often reflect early initiation and long-term exposure. In Southeast Asia, adolescents show some of the highest global rates of smokeless tobacco use, particularly in low-income settings (30). In Sub-Saharan Africa, tobacco use among youth is rising due to targeted industry marketing and weak regulatory enforcement. Meanwhile, in Eastern Europe, surveys reveal high lifetime prevalence of smoking, with initiation often occurring in early adolescence, contributing to elevated rates of oral cancer later in life (31).

Age influences tobacco-related oral health risks across the lifespan, with early initiation and cumulative exposure driving long-term harm. Prevention policies targeting youth in both high- and low-income contexts are essential. Strengthening school-based education, regulating e-cigarettes, and expanding surveillance systems are crucial steps to mitigate generational cycles of tobacco-related oral disease.

2.3 Race and ethnicity

Race and ethnicity are important social determinants of health that intersect with tobacco use and oral health disparities (29, 32). Differences in cultural norms, socioeconomic status, access to healthcare, and targeted industry marketing contribute to variations in tobacco prevalence and oral disease burden across racial and ethnic groups (29, 32).

In the US, Black individuals who smoke experience greater nicotine dependence and have less success in quitting smoking than non-Black individuals (33). Despite smoking fewer cigarettes per day on average, they face a higher risk of developing tobacco-related diseases, likely due to structural and environmental factors such as targeted marketing and limited access to cessation resources (34). Differences in biomarkers of smoke exposure and nicotine intake levels may also explain this disparity (34). The tobacco industry often uses predatory marketing techniques to target non-White ethnic groups. Black young adults are three times more likely to use flavored cigars and more likely to smoke menthol-flavored cigarettes (35, 36). The increased use of flavored tobacco products by Black individuals has been shown to impact oral health to a higher degree (37). While educational attainment generally reduces smoking prevalence, high-income Chinese-Americans continue to experience elevated smoking rates, suggesting that the protective effects of socioeconomic status may be smaller for historically marginalized groups (38, 39).

In low- and middle-income countries, ethnic and minority groups often carry a disproportionate burden of tobacco-related oral disease. In South India, populations show higher prevalence of smokeless tobacco use, with significant oral precancerous lesions (40). In Sub-Saharan Africa, ethnic minorities in rural areas report limited access to oral healthcare services, contributing to high untreated disease rates (41, 42).

Race and ethnicity shape both exposure and vulnerability to tobacco-related oral health harms. Systemic inequities and targeted marketing perpetuate disparities, while ethnic minorities face structural barriers to care. Addressing these inequities requires culturally sensitive prevention and cessation strategies, regulation of targeted tobacco marketing, and improved integration of oral health services into primary care.

2.4 Culture

Culture strongly influences tobacco use behaviors and oral health practices. Norms, beliefs, and traditions can either promote tobacco consumption or discourage it, shaping patterns of initiation, cessation, and long-term outcomes (43, 44). Cultural acceptance of tobacco often overlaps with socioeconomic and policy environments, reinforcing disparities.

First-generation immigrants often have lower mortality rates than US-born individuals from similar racial/ethnic backgrounds, attributed to healthy cultural practices and lower smoking prevalence (45). Immigrants are 52% less likely to smoke compared to US-born individuals (45). However, acculturation may lead to higher smoking rates among some immigrant populations in the US (46, 47). The “Healthy Immigrant Effect” describes how immigrants’ health outcomes worsen over time in the US, particularly among female immigrants and those arriving before age 13 (45). Immigrants face barriers to healthcare and smoking cessation treatment, such as language barriers and lack of insurance (47).

Cultural norms play a central role in low- and middle-income countries. In South Asia, chewing tobacco, betel quid, and areca nut remain widely accepted practices, often tied to tradition and social gatherings (48). In parts of Sub-Saharan Africa, tobacco use is integrated into rituals and community life, while in Eastern Europe, smoking has long been embedded in social culture, especially among men, reinforcing its normalization (49, 50). These cultural practices amplify the burden of oral disease by delaying recognition of risks and undermining public health messaging.

Cultural drivers of tobacco use represent both barriers and opportunities for intervention. Public health campaigns must be culturally adapted to address traditions without stigmatizing communities.

2.5 Urban vs. rural communities

An individual’s living location—specifically the divide between urban and rural communities—profoundly shapes tobacco use and oral health outcomes. Rural populations often experience higher tobacco prevalence, reduced access to care, and worse oral health outcomes compared to urban populations (22). These disparities are compounded by socioeconomic and infrastructural challenges.

As smoking has become less socially acceptable in most of the US, rural communities, especially those economically reliant on tobacco, may still view it positively (51, 52). While US smoking rates have declined, rural populations show slower or no reduction compared to urban areas (51, 5355). Rural residents are less likely to participate in or succeed in smoking cessation treatments, which occur three times less often in rural primary care clinics (51, 53, 54, 56). Barriers include fewer resources, healthcare providers, and clinics, as well as lower health insurance prevalence (51, 53, 54).

Rural–urban disparities are even more pronounced in low- and middle-income countries, where rural residents often lack access to oral health infrastructure and preventive services, contributing to high rates of untreated periodontal disease (49). In Eastern Europe, urban areas may have a lower prevalence of smoking but better access to cessation services, leaving rural residents disproportionately vulnerable (25, 50).

The urban–rural divide reflects how geography intersects with access, culture, and industry influence. Bridging these disparities requires scaling up community-based cessation programs, expanding oral health workforce distribution, and strengthening rural health infrastructure.

2.6 Gender

Gender dynamics significantly shape tobacco use and oral health outcomes, with differences driven by social norms, industry targeting, and biological susceptibility. Historically, due to the lack of social acceptability, women did not engage in smoking until several decades after men began smoking cigarettes (57). Generally, the prevalence of smoking differs between genders based on age group and stage in life. As adolescents, males and females tend to have similar levels of smoking prevalence, with adolescent girls having slightly higher levels because of social factors such as concerns over thinness or as a means of dieting (57). During early and middle adulthood, more psychosocial elements come into play and change the prevalence of smoking to be higher in men than women (58).

In many cultures around the world, smoking is perceived as a normal and typical aspect of masculine behavior, compared to a wayward act with negative connotations in women, which impacts prevalence. For example, in Japan, the percentage of male smokers is more than three times the percentage of female smokers (59). Conversely, in an environment where conformity to social and cultural norms holds less weight, such as the US, smoking prevalence between genders is more even, with less than a 6% difference between men and women (59).

There is a marked difference between genders when considering cessation of smoking, with women often having less long-term success initially quitting and maintaining cessation than men (60). A variety of environmental, social, and psycho-pharmacological factors contribute to this, including a difference in income and poverty rates between genders (15, 60). One notable qualifier to this trend is parenthood. Women with one child are more likely to quit smoking than childless women of a similar age, and these odds increase for each additional child up to 3 children (60). Men with children also experience greater chances of cessation, but these odds are consistent and do not differ with more children (60). Additionally, because women are more likely to expect smoking to contribute to weight control, a slower smoking cessation rate is seen in women compared to men over time (15).

Individuals who are part of a gender minority (such as nonbinary, genderqueer, intersex) were found to be more likely than cisgender individuals to use assistance in their cessation attempts. However, more research is needed to determine the smoking prevalence and cessation success for gender minority populations (61).

Gender shapes not only the prevalence of tobacco use but also the cultural and biological vulnerabilities to oral disease. Gender-sensitive policies, including targeted prevention for women and culturally adapted interventions, are crucial to addressing these emerging disparities.

3 Discussion

While studies have examined how specific socio-cultural groups are affected by smoking, comprehensive analyses of individual identity factors—such as gender, culture, and socioeconomic status—and their relationship to smoking behaviors remain limited. This review identifies critical gaps in understanding why certain groups have higher smoking prevalence and the resulting adverse health impacts, particularly in relation to oral health.

Increased smoking incidence is often linked to the failure or absence of targeted smoking cessation programs, with societal segments showing higher prevalence also experiencing lower cessation efforts. Smoking significantly affects oral health, increasing the risk of periodontal disease, altering oral microbiome diversity, and potentially amplifying systemic inflammation (Figure 2).

Figure 2
Diagram showing the intersection of biological factors, tobacco behavior, and social factors leading to higher risk of adverse outcomes. Biological factors include oral inflammation and periodontal disease. Tobacco behavior involves cigarette and e-cigarette use. Social factors encompass class, race, gender, and culture. Arrows connect these elements to a central point indicating increased risk.

Figure 2. Biological and social factors interaction underlying tobacco-associated oral health disparities. A network illustrates how biological mechanisms (oral inflammation, microbiome alterations, periodontal disease), social factors (class, race, gender, cultural background), and tobacco use behaviors (smoking, e-cigarette use, cessation access) interact. Intersecting vulnerabilities magnify adverse health outcomes.

All health disparities are interconnected, and individuals may experience multiple oral health inequities simultaneously, highlighting the complexity of these disparities and their impact on smoking prevalence (Figure 2). For instance, an individual’s risk of developing a tobacco-related disease may be influenced by their age and culture, but not necessarily by their gender or socioeconomic status. Future research should integrate multidimensional assessments of oral health disparities, medical history, and living environment to fully capture how these factors interact with smoking behaviors and disease risk.

Socioeconomic status and racial/ethnic and cultural identities emerge as the most influential determinants of smoking prevalence. Minority individuals in these groups often face earlier tobacco exposure, limited access to education and cessation programs, and culturally distinct smoking practices, contributing to inequities in tobacco-related oral health. While age, gender, and urban versus rural residence also shape these disparities, there remains a pressing need for longitudinal studies to track smoking behaviors and oral health outcomes over time, for culturally tailored interventions targeting high-risk populations, and for research exploring the intersection of oral health disparities and tobacco use across diverse populations and settings. Particular emphasis should be placed on studies in low- and middle-income countries and among adolescents, where current data are limited.

While tobacco use is consistently associated with adverse oral health outcomes, including periodontal disease and altered microbiome diversity, the majority of evidence comes from cross-sectional and observational studies. These studies can identify correlations but cannot definitively establish causality. Therefore, it remains unclear whether tobacco use directly causes oral health deterioration or whether other confounding factors—such as socioeconomic status, cultural practices, and access to dental care—contribute to these observed outcomes. Future studies are needed to clarify the causal pathways linking smoking behavior to oral and systemic health impacts.

Author contributions

PC: Writing – review & editing, Writing – original draft. AZ: Writing – original draft. WZ: Writing – original draft. DO: Project administration, Conceptualization, Supervision, Writing – original draft, Writing – review & editing. LD: Writing – original draft, Project administration, Supervision, Writing – review & editing. CA-d-S: Supervision, Writing – review & editing, Conceptualization, Funding acquisition, Writing – original draft, Project administration.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by funds from the California Tobacco-Related Disease Research Program of the University of California, Grant Number T34KT8265 to CLCAS.

Acknowledgments

This work made use of image resources from NIH BioArt (NIGMS/NIH).

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 authors declare that no Gen 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.

References

1. GBD 2021 Tobacco Forecasting Collaborators. Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Public Health. (2024) 9:e729–44. doi: 10.1016/S2468-2667(24)00166-X

Crossref Full Text | Google Scholar

2. National Center for Chronic Disease Prevention and Health Promotion (US) Office on Smoking and Health. (2014). The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General. Atlanta, GA. Available online at: https://www.ncbi.nlm.nih.gov/pubmed/24455788.

Google Scholar

3. Almeida-da-Silva, CLC, Matshik Dakafay, H, O’Brien, K, Montierth, D, Xiao, N, and Ojcius, DM. Effects of electronic cigarette aerosol exposure on oral and systemic health. Biom J. (2020) 44:252–9. doi: 10.1016/j.bj.2020.07.003

Crossref Full Text | Google Scholar

4. Stevens, EM, Hebert, ET, Tackett, AP, Leavens, ELS, and Wagener, TL. Harm perceptions of the JUUL e-cigarette in a sample of ever users. Int J Environ Res Public Health. (2020) 17:4755. doi: 10.3390/ijerph17134755

PubMed Abstract | Crossref Full Text | Google Scholar

5. Walley, SC, Wilson, KM, Winickoff, JP, and Groner, J. A public health crisis: electronic cigarettes, vape, and JUUL. Pediatrics. (2019) 143:e20182741. doi: 10.1542/peds.2018-2741

PubMed Abstract | Crossref Full Text | Google Scholar

6. Health NCfCDPaHPUOoSa. The Health Consequences of Smoking-50 Years of Progress: A Report of the Surgeon General. Atlanta, GA: Reports of the Surgeon General (2014).

Google Scholar

7. Holmen, A, Stromberg, U, Magnusson, K, and Twetman, S. Tobacco use and caries risk among adolescents--a longitudinal study in Sweden. BMC Oral Health. (2013) 13:31. doi: 10.1186/1472-6831-13-31

PubMed Abstract | Crossref Full Text | Google Scholar

8. Figueredo, CA, Abdelhay, N, Figueredo, CM, Catunda, R, and Gibson, MP. The impact of vaping on periodontitis: A systematic review. Clin Exp Dent Res. (2021) 7:376–84. doi: 10.1002/cre2.360

PubMed Abstract | Crossref Full Text | Google Scholar

9. Teruel Camargo, J, Smith, JT, Rodriquez, EJ, and Perez-Stable, EJ. Advancing aging research through a health disparities perspective. J Gerontol A Biol Sci Med Sci. (2024) 79:glae082. doi: 10.1093/gerona/glae082

PubMed Abstract | Crossref Full Text | Google Scholar

10. Hatsukami, DK, and Carroll, DM. Tobacco harm reduction: Past history, current controversies and a proposed approach for the future. Prev Med. (2020) 140:106099. doi: 10.1016/j.ypmed.2020.106099

PubMed Abstract | Crossref Full Text | Google Scholar

11. Banks, E, Yazidjoglou, A, Brown, S, Nguyen, M, Martin, M, Beckwith, K, et al. Electronic cigarettes and health outcomes: umbrella and systematic review of the global evidence. Med J Aust. (2023) 218:267–75. doi: 10.5694/mja2.51890

PubMed Abstract | Crossref Full Text | Google Scholar

12. Hernandez-Perez, A, Garcia-Gomez, L, Robles-Hernandez, R, Thirion-Romero, I, Osio-Echanove, J, Rodriguez-Llamazares, S, et al. Addiction to tobacco smoking and vaping. Rev Investig Clin. (2023) 75:158–68. doi: 10.24875/RIC.23000117

Crossref Full Text | Google Scholar

13. Poole, R, Carver, H, Anagnostou, D, Edwards, A, Moore, G, Smith, P, et al. Tobacco use, smoking identities and pathways into and out of smoking among young adults: a meta-ethnography. Subst Abuse Treat Prev Policy. (2022) 17:24. doi: 10.1186/s13011-022-00451-9

PubMed Abstract | Crossref Full Text | Google Scholar

14. Northridge, ME, Kumar, A, and Kaur, R. Disparities in access to oral health care. Annu Rev Public Health. (2020) 41:513–35. doi: 10.1146/annurev-publhealth-040119-094318

PubMed Abstract | Crossref Full Text | Google Scholar

15. Aguirre, CG, Bello, MS, Andrabi, N, Pang, RD, Hendricks, PS, Bluthenthal, RN, et al. Gender, ethnicity, and their intersectionality in the prediction of smoking outcome expectancies in regular cigarette smokers. Behav Modif. (2016) 40:281–302. doi: 10.1177/0145445515608146

PubMed Abstract | Crossref Full Text | Google Scholar

16. Song, F, Elwell-Sutton, T, Naughton, F, and Gentry, S. Future smoking prevalence by socioeconomic status in England: a computational modelling study. Tob Control. (2020) 30:380–5. doi: 10.1136/tobaccocontrol-2019-055490

PubMed Abstract | Crossref Full Text | Google Scholar

17. Emamian, MH, Fateh, M, and Fotouhi, A. Socioeconomic inequality in smoking and its determinants in the Islamic Republic of Iran. East Mediterr Health J. (2020) 26:29–38. doi: 10.26719/2020.26.1.29

PubMed Abstract | Crossref Full Text | Google Scholar

18. van Wijk, EC, Landais, LL, and Harting, J. Understanding the multitude of barriers that prevent smokers in lower socioeconomic groups from accessing smoking cessation support: A literature review. Prev Med. (2019) 123:143–51. doi: 10.1016/j.ypmed.2019.03.029

PubMed Abstract | Crossref Full Text | Google Scholar

19. Avila, JC, Lee, S, Osuoha, E, Maglalang, DD, Sokolovsky, A, and Ahluwalia, JS. Socioeconomic status across the life course and smoking cessation among older adult smokers in the U.S. Addict Behav. (2022) 135:107454. doi: 10.1016/j.addbeh.2022.107454

PubMed Abstract | Crossref Full Text | Google Scholar

20. Hiscock, R, Bauld, L, Amos, A, Fidler, JA, and Munafo, M. Socioeconomic status and smoking: a review. Ann N Y Acad Sci. (2012) 1248:107–23. doi: 10.1111/j.1749-6632.2011.06202.x

PubMed Abstract | Crossref Full Text | Google Scholar

21. Stead, M, MacAskill, S, MacKintosh, AM, Reece, J, and Eadie, D. It’s as if you’re locked in: qualitative explanations for area effects on smoking in disadvantaged communities. Health Place. (2001) 7:333–43. doi: 10.1016/s1353-8292(01)00025-9

PubMed Abstract | Crossref Full Text | Google Scholar

22. Nicolaou, SA, Heraclides, A, Markides, KS, and Charalambous, A. Prevalence and social determinants of smoking in the adult Greek Cypriot population. Hippokratia. (2016) 20:284–91.

Google Scholar

23. Goel, K, Sharma, S, Baral, DD, and Agrawal, SK. Current status of periodontitis and its association with tobacco use amongst adult population of Sunsari district, in Nepal. BMC Oral Health. (2021) 21:66. doi: 10.1186/s12903-021-01416-3

PubMed Abstract | Crossref Full Text | Google Scholar

24. Merchant, AT. Grand challenges in oral health and nutrition: We are what we eat. Front Oral Health. (2022) 3:999817. doi: 10.3389/froh.2022.999817

PubMed Abstract | Crossref Full Text | Google Scholar

25. Saekel, R. The current state of oral health and dental care system efficiency in twelve selected East European countries. J Dent Health Oral Disord Ther. (2024) 15:165–77. doi: 10.15406/jdhodt.2024.15.00631

Crossref Full Text | Google Scholar

26. Collins, BN, Lepore, SJ, Winickoff, JP, and Sosnowski, DW. Parents’ self-efficacy for tobacco exposure protection and smoking abstinence mediate treatment effects on child cotinine at 12-month follow-up: mediation results from the kids safe and smokefree trial. Nicotine Tob Res. (2020) 22:1981–8. doi: 10.1093/ntr/ntz175

PubMed Abstract | Crossref Full Text | Google Scholar

27. Forrester, SN, Taylor, JL, Whitfield, KE, and Thorpe, RJ Jr. Advances in understanding the causes and consequences of health disparities in aging minorities. Curr Epidemiol Rep. (2020) 7:59–67. doi: 10.1007/s40471-020-00234-5

PubMed Abstract | Crossref Full Text | Google Scholar

28. Berry, KM, Fetterman, JL, Benjamin, EJ, Bhatnagar, A, Barrington-Trimis, JL, Leventhal, AM, et al. Association of electronic cigarette use with subsequent initiation of tobacco cigarettes in US youths. JAMA Netw Open. (2019) 2:e187794. doi: 10.1001/jamanetworkopen.2018.7794

PubMed Abstract | Crossref Full Text | Google Scholar

29. Braciszewski, JM, Vose-O’Neal, A, Gamarel, KE, and Colby, SM. Combustible cigarette smoking and alternative tobacco use in a sample of youth transitioning from foster care. Child Youth Serv Rev. (2019) 96:231–6. doi: 10.1016/j.childyouth.2018.11.054

PubMed Abstract | Crossref Full Text | Google Scholar

30. Yang, H, Ma, C, Zhao, M, Magnussen, CG, and Xi, B. Prevalence and trend of smokeless tobacco use and its associated factors among adolescents aged 12-16 years in 138 countries/territories, 1999-2019. BMC Med. (2022) 20:460. doi: 10.1186/s12916-022-02662-0

PubMed Abstract | Crossref Full Text | Google Scholar

31. Dai, R, Zhang, Y, Zou, H, Li, H, and Zhang, S. Increased burden of lip, oral, and pharyngeal cancer in adolescents and young adults from 1990 to 2021. BMC Oral Health. (2025) 25:758. doi: 10.1186/s12903-025-06166-0

PubMed Abstract | Crossref Full Text | Google Scholar

32. National Academies of Sciences E, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice; Committee on Community-Based Solutions to Promote Health Equity in the United States In: A Baciu, Y Negussie, and A Geller, editors. The State of Health Disparities in the United States. Communities in Action: Pathways to Health Equity, vol. 2. Washington, DC: National Academies Press (US) (2017)

Google Scholar

33. Zvolensky, MJ, Redmond, BY, Smit, T, Matoska, CT, Mayorga, NA, Gallagher, M, et al. Anxiety sensitivity and its association with perceived barriers for quitting, smoking inflexibility, and severity of quit problems among Black smokers. J Ethn Subst Abus. (2024) 23:788–805. doi: 10.1080/15332640.2022.2129538

PubMed Abstract | Crossref Full Text | Google Scholar

34. Ho, JTK, Tyndale, RF, Baker, TB, Amos, CI, Chiu, A, Smock, N, et al. Racial disparities in intensity of smoke exposure and nicotine intake among low-dependence smokers. Drug Alcohol Depend. (2021) 221:108641. doi: 10.1016/j.drugalcdep.2021.108641

PubMed Abstract | Crossref Full Text | Google Scholar

35. Chen-Sankey, JC, Choi, K, Kirchner, TR, Feldman, RH, Butler, J 3rd, and Mead, EL. Flavored cigar smoking among African American young adult dual users: an ecological momentary assessment. Drug Alcohol Depend. (2019) 196:79–85. doi: 10.1016/j.drugalcdep.2018.12.020

PubMed Abstract | Crossref Full Text | Google Scholar

36. Parekh, TM, Wu, C, McClure, LA, Howard, VJ, Cushman, M, Malek, AM, et al. Determinants of cigarette smoking status in a national cohort of black and white adult ever smokers in the USA: a cross-sectional analysis of the REGARDS study. BMJ Open. (2019) 9:e027175. doi: 10.1136/bmjopen-2018-027175

PubMed Abstract | Crossref Full Text | Google Scholar

37. Hoffman, AC. The health effects of menthol cigarettes as compared to non-menthol cigarettes. Tob Induc Dis. (2011) 9:S7. doi: 10.1186/1617-9625-9-S1-S7

PubMed Abstract | Crossref Full Text | Google Scholar

38. Assari, S, and Mistry, R. Educational attainment and smoking status in a national sample of american adults; evidence for the blacks’ diminished return. Int J Environ Res Public Health. (2018) 15:763. doi: 10.3390/ijerph15040763

PubMed Abstract | Crossref Full Text | Google Scholar

39. Assari, S, and Mistry, R. Diminished Return of Employment on Ever Smoking Among Hispanic Whites in Los Angeles. Health Equity. (2019) 3:138–44. doi: 10.1089/heq.2018.0070

PubMed Abstract | Crossref Full Text | Google Scholar

40. Acharya, S, Singh, S, and Bhatia, SK. Association between Smokeless Tobacco and risk of malignant and premalignant conditions of oral cavity: A systematic review of Indian literature. J Oral Maxillofac Pathol. (2021) 25:371. doi: 10.4103/0973-029X.325258

PubMed Abstract | Crossref Full Text | Google Scholar

41. Folayan, MO, Bhayat, A, Mikhail, SS, Ndembi, N, and El Tantawi, M. Resources for oral health in Africa. Front Oral Health. (2025) 6:1540944. doi: 10.3389/froh.2025.1540944

PubMed Abstract | Crossref Full Text | Google Scholar

42. Folayan, MO, Bernard, OT, Titus, OS, Alade, O, Aliyu, TK, Bhayat, A, et al. Cultural practices, oral health service utilisation and oral health policy and guidelines development in Africa: insights from the yoruba ethnic group. Front Oral Health. (2025) 6:1539827. doi: 10.3389/froh.2025.1539827

PubMed Abstract | Crossref Full Text | Google Scholar

43. Nemeth, JM, Thomson, TL, Lu, B, Peng, J, Krebs, V, Doogan, NJ, et al. A social-contextual investigation of smoking among rural women: multi-level factors associated with smoking status and considerations for cessation. Rural Remote Health. (2018) 18:4338. doi: 10.22605/RRH4338

PubMed Abstract | Crossref Full Text | Google Scholar

44. Tucker, MR, Kivell, BM, Laugesen, M, and Grace, RC. Changes to smoking habits and addiction following tobacco excise tax increases: a comparison of Maori, Pacific and New Zealand European smokers. Aust N Z J Public Health. (2017) 41:92–8. doi: 10.1111/1753-6405.12603

PubMed Abstract | Crossref Full Text | Google Scholar

45. Hamilton, TG, and Green, TL. Intergenerational differences in smoking among West Indian, Haitian, Latin American, and African blacks in the United States. SSM Popul Health. (2017) 3:305–17. doi: 10.1016/j.ssmph.2017.01.007

Crossref Full Text | Google Scholar

46. Sisti, JS, Jasek, JP, and Farley, SM. Heterogeneity in current cigarette smoking among hispanic/latino heritage groups in New York City, 2003-2016. Ethn Dis. (2020) 30:97–108. doi: 10.18865/ed.30.1.97

PubMed Abstract | Crossref Full Text | Google Scholar

47. Chen, J, Grossman, E, Link, A, Wang, B, and Sherman, S. Disparities in hospital smoking cessation treatment by immigrant status. J Ethn Subst Abus. (2020) 19:44–57. doi: 10.1080/15332640.2018.1446377

PubMed Abstract | Crossref Full Text | Google Scholar

48. Thilakarathne, BKG, Schensul, JJ, and DeMarsilis, A. Use of betel quid with and without tobacco and challenges to quitting among women attending a rural hospital in Sri Lanka. BMC Oral Health. (2025) 25:966. doi: 10.1186/s12903-025-06338-y

PubMed Abstract | Crossref Full Text | Google Scholar

49. Siddiqi, K. Tobacco use in sub-Saharan Africa: the risks and challenges. Nicotine Tob Res. (2019) 21:999–1000. doi: 10.1093/ntr/ntz086

PubMed Abstract | Crossref Full Text | Google Scholar

50. Stefler, D, Murphy, M, Irdam, D, Horvat, P, Jarvis, M, King, L, et al. Smoking and mortality in eastern europe: results from the privmort retrospective cohort study of 177 376 individuals. Nicotine Tob Res. (2018) 20:749–54. doi: 10.1093/ntr/ntx122

PubMed Abstract | Crossref Full Text | Google Scholar

51. Doogan, NJ, Roberts, ME, Wewers, ME, Stanton, CA, Keith, DR, Gaalema, DE, et al. A growing geographic disparity: Rural and urban cigarette smoking trends in the United States. Prev Med. (2017) 104:79–85. doi: 10.1016/j.ypmed.2017.03.011

PubMed Abstract | Crossref Full Text | Google Scholar

52. Yaya, S, Bishwajit, G, Shah, V, and Ekholuenetale, M. Socioeconomic disparities in smoking behavior and early smoking initiation among men in Malawi. Tob Use Insights. (2017) 10:1179173X17726297. doi: 10.1177/1179173X17726297

PubMed Abstract | Crossref Full Text | Google Scholar

53. Ramsey, AT, Baker, TB, Pham, G, Stoneking, F, Smock, N, Colditz, GA, et al. Low burden strategies are needed to reduce smoking in rural healthcare settings: a lesson from cancer clinics. Int J Environ Res Public Health. (2020) 17:1728. doi: 10.3390/ijerph17051728

PubMed Abstract | Crossref Full Text | Google Scholar

54. Jenkins, WD, Matthews, AK, Bailey, A, Zahnd, WE, Watson, KS, Mueller-Luckey, G, et al. Rural areas are disproportionately impacted by smoking and lung cancer. Prev Med Rep. (2018) 10:200–3. doi: 10.1016/j.pmedr.2018.03.011

PubMed Abstract | Crossref Full Text | Google Scholar

55. Coughlin, LN, Bonar, EE, Bohnert, KM, Jannausch, M, Walton, MA, Blow, FC, et al. Changes in urban and rural cigarette smoking and cannabis use from 2007 to 2017 in adults in the United States. Drug Alcohol Depend. (2019) 205:107699. doi: 10.1016/j.drugalcdep.2019.107699

PubMed Abstract | Crossref Full Text | Google Scholar

56. Nighbor, TD, Doogan, NJ, Roberts, ME, Cepeda-Benito, A, Kurti, AN, Priest, JS, et al. Smoking prevalence and trends among a U.S. national sample of women of reproductive age in rural versus urban settings. PLoS One. (2018) 13:e0207818. doi: 10.1371/journal.pone.0207818

PubMed Abstract | Crossref Full Text | Google Scholar

57. Pampel, FC, Bricard, D, Khlat, M, and Legleye, S. Life course changes in smoking by gender and education: a cohort comparison across france and the United States. Popul Res Policy Rev. (2017) 36:309–30. doi: 10.1007/s11113-016-9424-y

PubMed Abstract | Crossref Full Text | Google Scholar

58. Woo, J, Lawrence, E, and Mollborn, S. Racial/ethnic and gender differences in smoking in early middle adulthood. SSM Popul Health. (2022) 18:101119. doi: 10.1016/j.ssmph.2022.101119

PubMed Abstract | Crossref Full Text | Google Scholar

59. Lee, C, Gao, M, and Ryff, CD. Conscientiousness and smoking: do cultural context and gender matter? Front Psychol. (2020) 11:1593. doi: 10.3389/fpsyg.2020.01593

PubMed Abstract | Crossref Full Text | Google Scholar

60. Smith, PH, Bessette, AJ, Weinberger, AH, Sheffer, CE, and McKee, SA. Sex/gender differences in smoking cessation: A review. Prev Med. (2016) 92:135–40. doi: 10.1016/j.ypmed.2016.07.013

PubMed Abstract | Crossref Full Text | Google Scholar

61. Nagelhout, GE, Poole, NL, Geboers, C, Magnee, T, Kaag, AM, van den Brand, FA, et al. Smoking cessation among gender minority populations, cis-women, and cis-men: findings from the international tobacco control netherlands survey. Nicotine Tob Res. (2023) 25:945–53. doi: 10.1093/ntr/ntac283

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: oral health, smoking, cigarettes, e-cigarettes, tobacco, inequities

Citation: Carneiro PH, Zhang A, Zhao W, Ojcius DM, Daly L and Almeida-da-Silva CLC (2025) The impact of oral health disparities on smoking prevalence. Front. Public Health. 13:1667261. doi: 10.3389/fpubh.2025.1667261

Received: 16 July 2025; Accepted: 03 September 2025;
Published: 23 September 2025.

Edited by:

Aida Meto, University of Modena and Reggio Emilia, Italy

Reviewed by:

Ashek Elahi Noor, Atlantic Technological University, Ireland
Waseem Jerjes, Imperial College London, United Kingdom
Gaye Keser, Marmara University, Türkiye

Copyright © 2025 Carneiro, Zhang, Zhao, Ojcius, Daly and Almeida-da-Silva. 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: Cassio Luiz Coutinho Almeida-da-Silva, Y3NpbHZhMkBwYWNpZmljLmVkdQ==

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.