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

ORIGINAL RESEARCH article

Front. Nutr., 23 September 2025

Sec. Nutrition and Sustainable Diets

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1672606

This article is part of the Research TopicA Roadmap for Sustainable Food Systems: Prioritising Diets and Eradicating Hunger (SDG 2)View all 3 articles

Generational perspectives on sustainable diets in Saudi Arabia: implications for food security and behavioral change

  • 1Department of Food and Nutrition Science, College of Agricultural and Food Science, King Faisal University, Al-Ahsa, Saudi Arabia
  • 2Department of Clinical Nutrition, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia

Background and objectives: Sustainable healthy diets (SHDs) are pivotal for promoting public health while mitigating environmental impacts. However, the adoption of sustainable and healthy eating behaviors (SHEBs) varies across demographic groups, particularly generations. This study assessed generational differences in SHEBs, protein consumption patterns, motivations for dietary change, and readiness to adopt plant-based diets in Saudi Arabia, a nation undergoing rapid urbanization and dietary transitions.

Methods: A cross-sectional online survey of 637 Saudi adults from Generations Z, Y, and X was conducted between November 2023 and March 2024. SHEBs were measured using a validated scale covering balanced diets, local food choices, meat reduction, food waste, and quality labels. Protein intake (animal- vs. plant-based), BMI, motivations for adopting SHDs, and stages of behavioral change were analyzed across generations using ANOVA, chi-square tests, and regression models.

Results: Generation X exhibited the highest SHEBs scores, driven by quality-labeled food choices and reduced meat consumption. Generation Y showed moderate SHEBs engagement, motivated by ethical and environmental concerns. Generation Z reported the lowest SHEBs scores, with health and weight loss as primary motivators, but also the highest animal-protein intake. Across all generations, plant-based protein intake was a significant predictor of greater SHEBs adherence. However, over 80% of participants remained in the pre-contemplation or contemplation stages for adopting plant-based diets, highlighting behavioral resistance to change.

Conclusion: Generational differences in dietary behaviors underscore the need for customized, generation-sensitive interventions to promote SHDs in Saudi Arabia. Enhancing awareness, addressing barriers to plant-based eating, and leveraging key motivators such as health and accessibility are essential steps toward transforming food systems for greater sustainability. These insights hold significant implications for developing generation-sensitive strategies that promote SHDs, improve nutritional outcomes, and strengthen food security in Saudi Arabia.

1 Introduction

Globally, urbanization has resulted in nutritional transitions that significantly contribute to the increasing prevalence of non-communicable diseases (NCDs), including obesity, cancer, type 2 diabetes, and cardiovascular diseases (1), which are accompanied by a higher intake of calories, trans fatty acids, saturated fatty acids, added sugars, sodium, and animal products (dairy and meat) (2). Simultaneously, factors such as increasing global population, climate change, high greenhouse gas emissions, decreased freshwater reserves, and biodiversity are serious threats to the environment, animals, and agricultural production (3, 4). Considering the strong association among global health, climate change, and food production, the global population needs to adopt safe, balanced, healthy, and adequate diets that are economically viable and affordable (5). Implementing these practices is particularly important for protecting the environment and health, preventing diseases, and promoting biodiversity by reducing environmental risk factors, and contribute to climate change mitigation (4, 6).

The term or concept of sustainable healthy diets (SHDs) was first introduced in 1986 (7). In 2019, FAO defined SHDs as, “nutritionally adequate, safe and healthy diets that meet the nutritional needs of present and future generations, respect biodiversity and ecosystems, are protective, culturally acceptable, accessible, economically affordable, nutritionally adequate, safe and healthy” (8). This concept has been widely adopted for all generations (911). A recent systematic review (5) found that adhering to SHDs containing predominantly plant-based calories and a majority (60%) of energy requirements could reduce mortality and mitigate the negative environmental impacts associated with diet.

SHDs are highly relevant today; however, it is crucial to determine whether all generations are familiar with this concept. Typically, individuals are exposed to similar historical and social contexts that are significantly influenced by their lifestyles and dietary behaviors across their lifespans, contributing to the development of different dietary habits and environmental concerns across generations. Generation X (GX) grew during a period of rapid modernization and adhered to traditional eating habits, with a strong commitment to the conventional nutritional norms. They focus on basic food groups and prefer foods from natural sources (12, 13). Generation Y (GY), shaped by the rapid technological growth of their time, smoothly adapted to these changes, embracing a fast-food culture characterized by quicker and more convenient eating habits. Despite this, GY also shows familiarity with healthy eating practices (14, 15). In contrast, Generation Z (GZ), who emerged in the era of advanced digitalization, are more likely to be concerned with environmental health and sustainable nutrition (16). Their dietary preferences are influenced by trends, including plant-based diets, organic product choices, and zero-waste movement. At the same time, fast-food culture, driven by the influences of social media and trends, continues to play a notable role in shaping their eating habits (17).

Dietary habits and environmental concerns differ significantly across generations. To promote SHDs practices that benefit both current and future generations, it is essential to assess the interconnectedness among human and environmental health.

Saudi Arabia (SA) is one of the fastest growing economies in the world that has reported a nutritional transition toward a modernized lifestyle, which is associated with a significant burden of NCDs and is responsible for 73% of all mortality (1820). This is accompanied by a low intake of fruits and vegetables and an increased intake of animal products, refined foods, fast food, sodium, added sugars, saturated fatty acids, and trans-fatty acids (21). To address the significant burden of NCDs, the government of SA implemented the Healthy Food Strategy established by the Saudi Food and Drug Authority (22) as part of the Saudi Vision 2030 and aligned it with the Sustainable Development Goals (SDGs).

SA has undertaken significant efforts to achieve all SDGs related to sustainable environments (SDG 13, SDG 15), nutrition and food security (SDG 2, SDG 3), plant production and protection (SDG 2, SDG 15), natural resources (SDG 6, SDG 12), and waste management (SDG 12) (23), aligning them with the ambitious framework of Saudi Vision 2030 for all populations. Previous research conducted in SA has focused on sustainable environments and energy, climate change, and air quality practices (24, 25). To the best of our knowledge, very few studies have investigated SHDs and focused on one direction. Alnasser and Musallat (26) assessed food sustainability awareness to adopt sustainable food among SA citizens and reported lower awareness and understanding of the negative environmental impact of consuming unsustainable food. Another study investigated the understanding of SA citizens about climate change associated with dietary choices and reported poor understanding with a higher intake of non–climate-friendly foods (27). A nationwide study measured household food waste and reported a national prevalence of 63.6% for uncooked food waste and 74.4% for cooked food waste (28). However, the scenarios for plant-based food consumption vary. Recent research indicated a significant rise in the adoption of vegetarian and vegan diets (13%) among SA citizens, particularly among young adults (29, 30), accompanied by an increased awareness of the impact of dietary habits on health (31).

There is a research gap in SA where researchers aim to primarily focus on the insufficient comprehension of sustainable and healthy eating behaviors (SHEBs) among citizens. Previous studies have addressed food and environmental sustainability, food waste, knowledge of SHDs, and vegetarian and vegan diets (2831). However, these efforts did not focus on the approaches of different generations (Z, Y, and X) in SA toward SHEBs and their readiness to modify or motivate their eating habits for more sustainable diets. The lack of comprehensive studies on generational differences in SA SHEBs including motivations, readiness for plant-based diets, and barriers to dietary change represents a critical gap. This is particularly significant given SA robust economic growth, the increasing prevalence of NCDs, and the government’s strong commitment to public health improvement, environmental sustainability, and achieving the SDGs. Therefore, this study aims to evaluate generational differences in SHEBs in Saudi Arabia, with a focus on protein consumption patterns across Generations Z, Y, and X. Additionally, the study investigates the key motivations and factors influencing the adoption of SHDs, including health, environmental, and cultural aspects. It further examines the readiness of different generations to adopt plant-based diets using the stages of behavioral change model.

2 Materials and methods

2.1 Sampling procedure

A convenience sample of Saudi adults (≥18 years) using a non-probability snowball sampling approach was recruited through WhatsApp-distributed Google Forms surveys between November 2023 and March 2024 (N = 637). Eligible participants were SA citizens who provided informed consent after reviewing study protocols. Participants were encouraged to forward the link to others different age or social circles groups to diversify the sample across generations. The sample size was determined a priori using G*Power 3.1. For generational comparisons (one-way ANOVA), we specified a small-to-medium effect size of f = 0.15, α = 0.05, power = 80%, and 3 groups (Gen Z, Y, X), yielding a minimum requirement of 159 participants (53 per group). Our final sample (n = 637) exceeded these thresholds, ensuring robust power even for subgroup analyses. The Scientific Research Ethics Committee of King Faisal University approved this study (KFU-REC-2023-JAN-ETHICS483) and was conducted according to the ethical principles expressed in the Declaration of Helsinki.

2.2 Study questionnaire

The questionnaire comprised six main sections, each adapted from previously developed questionnaires. A forward–backward translation was performed by bilingual experts to ensure cultural appropriateness. A pilot test was conducted with 20 Saudi adults from different age groups (GZ, GY, and GX) to evaluate the clarity, cultural appropriateness, and feasibility of the questionnaire. Minor revisions were made to improve wording and flow based on participants’ feedback. No significant structural changes were needed. The pilot participants reported that the questions were clear and easy to understand, and the average completion time was 10–15 min. These participants were excluded from the final analysis.

2.2.1 Demographic data and anthropometric measurements

This section includes information on sex, age, educational level, monthly family income, and marital status. Participants were categorized into three groups based on their generation: “Generation X,” representing individuals born between 1966 and 1981 or aged 41–56 years; “Generation Y or Millennials,” representing those born between 1982 and 1995 or aged 26–40 years; and “Generation Z,” representing individuals born between 1996 and the present day or aged below 26 years (32). Height and weight were reported by the participants, and then the researcher calculated the BMI and classified it according to the WHO guidelines (1998) (33).

2.2.2 Familiarity with a sustainable healthy diet

Participants’ familiarity with sustainable healthy diets was assessed through a single item measure Respondents were asked, “Are you familiar with the FAO definition of SHDs ‘nutritionally adequate, safe and healthy diets that meet the nutritional needs of present and future generations, respect biodiversity and ecosystems, are protective, culturally acceptable, accessible, economically affordable, nutritionally adequate, safe and healthy’ (8)?” with three response options: (1) Yes (familiar), (2) No (unfamiliar), and (3) I’ve heard the term but am unsure of its meaning (partial familiarity).

2.2.3 Stage of change

Participants were asked to select one of six statements that best described their adherence to a plant-based diet. These statements were based on the six stages of change outlined in the Transtheoretical Model or Stage of Change (34). “I am not interested in following a plant-based diet at present or in the future” (pre-contemplation [PC] stage). “I am currently thinking about following a plant-based diet and may start within the next 6 months” (contemplation [C] stage). “I have decided to follow a plant-based diet in the near future” (preparation [P] stage). “I currently follow a plant-based diet” (action [A] stage). “I have been following a plant-based diet for more than 6 months.” (maintenance [M] stage). “In the past, I used to follow a plant-based diet, but I have now stopped.” (relapse [R] stage) (14). Some stages of change categories had a small number of responses, and the researchers combined them into three categories: PC and C, P and R, and A and M.

2.2.4 Daily consumption of animal- and plant-based protein

The FFQ was adapted from Hu et al. (35) and modified to include food items and portion sizes commonly consumed in Saudi Arabia. However, the adapted FFQ was not formally validated against biomarkers or comprehensive dietary records in the Saudi population. To collect data on weekly consumption of both plant and animal proteins by the participants, such as red meat, chicken, dairy, eggs, fish, and dairy products. Plant-based proteins included nuts, legumes, processed meat substitutes, and plant-based milk. The participants were asked to indicate their frequency of consumption by choosing from a range of options, such as “four or more per day” (equivalent to 28 portions/week), “three per day” (equivalent to 21 portions/week), “two per day” (equivalent to 14 portions/week), “one per day” (equivalent to seven portions/week), “five to six per week” (equivalent to 5.5 portions/week), “two to four per week” (equivalent to three portions/week), and “one per week” (equivalent to one portion/week) (36). The upper limit was set at 35 portions/week, which is equivalent to five portions/day. This upper limit was chosen to ensure that responses from the participants remained within a reasonable range, thus preventing extreme values from skewing the data. The total protein consumption was calculated by summing the weekly portions of all protein items (separately for animal, plant-based protein). The portion size and amount of protein were determined according to Hagmann et al. (36) and Żakowska-Biemans et al. (37).

2.2.5 Sustainable and healthy eating behaviors

Żakowska-Biemans et al. (37) developed and validated Sustainable and Healthy Eating Behaviors (SHEBs), which is widely used (38, 39) for evaluating the relationship among human, animal, and environmental health for fostering long-term sustainability. It encompasses eight components with a 34-item scale addressing diverse aspects, including: “Healthy and balanced diet” (10 items), “Regional and organic quality labels” (five items), “Reducing meat consumption” (four items), “Local foods” (three items), “Low-fat products” (three items), “Food waste” (three items), “Animal welfare” (three items), and “Seasonal food” (three items). Participants were asked to rate their levels of engagement in these eating behaviors on 7-point Likert scale ranging from “Never = 1” to “Always = 7” (37). The scale scores were calculated by averaging the scores assigned to the items in each component. To calculate the total components, score, the average of the scores for all dimensions was collected. Higher average scores were associated with a higher number of SHEBs. Cronbach’s alpha coefficients ranged from 0.904 to 0.908 for the dimensions and 0.909 for the total dimension, which was comparable with the previous studies (38, 39). The Arabic version was developed through forward–backward translation and piloted among 20 Saudi adults.

2.2.6 Motives to choose sustainable healthy diet

Participants identified their primary motivations for adopting SHDs by selecting from nine predefined options: health, accessibility, taste preferences, religious considerations, environmental sustainability, animal welfare, weight management, cost, and sensory appeal. Multiple selections were permitted to capture the complexity of dietary decision-making (14, 40).

2.3 Statistical analysis

Data was analyzed using IBM SPSS Statistics (v.29) after assessing normality through Shapiro–Wilk tests, Q-Q plots, and histograms. Descriptive statistics (means ± SDs, frequencies) characterized the sample, while one-way ANOVA test was performed for continuous variables, and chi-square analysis was used for categorical variables. Motivation for adopting SHDs was analyzed using multiple response analysis. To compare generational differences in the proportion selecting each motivation, a series of chi-square tests were conducted, treating each motivation as a binary variable (selected vs. not selected). Linear regression modeled SHEBs against BMI, protein intake, and socioeconomic factors across generations. Only the variables with significant differences were included in the model, statistical significance was set at p < 0.05.

3 Results

A total of 637 participants completed the survey, the majority were from GZ and GY, with significant differences between the generations (p < 0.000); more participants were educated to university or higher levels, married (except GZ), and had higher income with significant differences (p = 0.003, p = 0.000, and p = 0.04, respectively) (Table 1). The participants were also questioned about their familiarity with SHDs. Of all, 43% of the participants reported that they were unfamiliar with the concept, whereas approximately 33% of those partially familiar they had heard about it but lacked a clear understanding. Only 24% of the participants are familiar with SHDs, representing a minority of the overall sample. Notably, the results indicated that GY reported greater familiar with SHDs than the other generations, without a significant difference (Table 1).

Table 1
www.frontiersin.org

Table 1. Participant demographics and familiarity with a sustainable healthy diet by generation (n = 637).

Table 2 presents anthropometric measurements, weekly protein consumption, and stages of change. GY and GZ reported mean body mass index (BMI) values within the normal category (23.9 ± 5.35 and 24.31 ± 6.51, respectively), whereas GX had BMI in the overweight category (26.47 ± 6.03), with a significant difference between generations (p = 0.000). GZ reported a lower body weight (60.24 ± 17.95) than GY and GX (p = 0.000). Notably, 47.6% of the total samples were in the normal weight category, whereas 13.2% were underweight. Additionally, a higher proportion of GX were overweight and obese and had the highest weight (75.06 + 15.14) compared to the others, with a significant difference (p = 0.001 and p = 0.000, respectively). GZ reported consuming higher mean daily portions of animal-based protein (9.67 ± 4.74), and GX reported consuming higher means (5.50 ± 4.14) daily portions of plant-based protein, with a significant difference (p = 0.044 and p = 0.03, respectively). Most participants (82.57%) were either uninterested in or only thought (PC/C stages of change) about the adoption of a plant-based diet. Only 4.39% of the participants were already in A/M stages of change for adopting a plant-based diet, without significant difference between the generations.

Table 2
www.frontiersin.org

Table 2. Generational differences in BMI, protein consumption, and readiness for plant- based diets (n = 637).

The total and dimension scores on the SHEBs scale for GZ, GY, and GX participants are shown in Table 3. The total score on the SHEBs scale of the participants from all generations was significantly different (p < 0.007), with higher a mean for GX (3.18 ± 0.43). The healthy and balanced diet dimension mean score was higher in GX (7.10 ± 1.62) than GY (6.04 ± 1.47), whereas it was significantly (p = 0.001) lower in GZ (5.62 ± 1.48). GX were more concerned about quality labels (2.98 ± 0.88) and meat reduction (1.98 ± 0.60) (p = 0.011 and p = 0.003, respectively). GZ focused more on buying and eating local foods (0.91 ± 0.48, p = 0.025). These dimensions were not significantly different between generations low fat, food waste, animal welfare, and seasonal foods.

Table 3
www.frontiersin.org

Table 3. Dimensions of sustainable and healthy eating behaviors (n = 637).

Table 4 presents motivations for choosing SHDs by generation, the top response was health (91.99%), followed by weight loss (49.60%) and enjoyment (37.99%). The lowest response was for animal welfare (6.12%), followed by environmental sustainability (17.73%); however, GY reported a slightly higher motivation to SHDs (21.98%) than GZ and GX. Accessibility was an important dimension for 24.48% of GX. Taste was the only motivator with a statistically significant difference between the generations (p = 0.047). Generation X reported higher taste motivation (39.79%) than Gen Z (28.39%) and Gen Y (32.62%). For all other motivations, there were no significant generational differences.

Table 4
www.frontiersin.org

Table 4. Motivations for choosing sustainable healthy diets by generation (n = 637)*.

Table 5 presents the results of linear regression analysis conducted individually for each generation to identify the predictors of SHEBs. The results indicated that consuming portions of plant-based protein daily was a predictor of more SHEBs among GZ (β = 0.177, p = 0.002) and GY (β = 0.344, p = 0.000). Higher BMI (β = 0.223, p = 0.028), consuming portions of plant-based protein (β = 0.235, p = 0.026) on a regular basis, and consuming lower portions of animal-based protein (β = −0.217, p = 0.032) daily, were predictors of more SHEBs among GX. Finally, lower body weight (β = 0.125, p = 0.013) was predicted for more SHEBs among GZ.

Table 5
www.frontiersin.org

Table 5. Generational predictors of sustainable healthy eating behaviors (n = 637).

4 Discussion

In recent years, the growing focus on sustainability has been motivated by the pressing concerns presented by climate change. For this purpose, in 2015, the UN established the SDGs, aiming to “peace and prosperity for people and the planet” which prioritized SHDs that could provide all essential nutrients in quantities tailored to the needs of an individual based on their bodily requirements for present and future generations, with respect to ecosystems, biodiversity, and minimizing harm to the environment. Cultural acceptability, wide accessibility, and economical feasibility were considered in this process of prioritizing SDGs. This study was conducted to assess the association between SHEBs and other potential factors, including socioeconomic status, motivation, anthropometric measurements, and readiness to adopt a plant-based diet in three different generational groups GZ, GY, and GX in SA.

Female participants were overrepresented because women are more interested in nutritional and health-related issues than men and are more willing to adopt plant-based diets and seasonal products (41). However, previous evidence indicates that younger individuals are more likely to adopt SHEBs, such as organic and local foods (42). A majority of GY and GX were married and had higher monthly incomes, which is understandable given that individuals aged more than 26 years are typically in relationships and are economically stable. Most GZ, unmarried where single individuals often eat less healthily due to a lack of motivation to cook for one, and the absence of social support and accountability from others can make it harder to maintain good dietary habits.

The familiarity with SHDs in SA has not reached the optimal level, and only a few studies have been conducted on familiarity with SHDs. Alnasser and Musallat (26) assessed awareness among SA citizens about sustainable food practices and reported that the awareness was low, with a limited understanding of how consuming unsustainable food impacts the environment negatively. Similarly, another study examined understanding of climate change among SA citizens in relation to dietary choices and found limited familiarity and higher consumption of non–climate-friendly foods (27). The findings of the present study were comparable with those of previous studies conducted in SA, revealing that not all generations were familiar with SHDs, or that they lacked a clear understanding of their meaning. Approximately one-fifth of the participants were familiar with SHDs.

Twenty-five percent of GY were familiar with SHDs, with 83.68% having attained a higher level of education, which aligns with the findings of Culliford and Bradbury (14) who reported that individuals aged 35 years and older, particularly highly educated women, were more familiar with the environmental benefits of adopting sustainable food practices. In contrast, Acar Tek et al. (43) reported limited familiarity levels, with only 26.6% of GZ, 20.3% of GY, and 16.6 of GX having heard of a sustainable diet, which is lower than those reported by the present study. Furthermore, several other studies have revealed that a small proportion of adults possess a good understanding of sustainable diets (44).

Most participants across all generations were within the normal-weight category, and the highest percentage of participants with normal weight was in GY. However, 39% of GX are overweight and 16% are obese, possibly because of their inactive lifestyles and slower metabolism associated with fat accumulation in the body (45). In this context, the findings of this study differ from those of Martinson et al. (46), who reported that obesity is significantly more prevalent among GY than among GX in the United States, especially among men. The study also found that GY women in England were more likely to be obese than GX women, whereas in the United States, the disparity in obesity rates between the two generations of women was not significant. The differences between the present study and Martinson et al. (46) could be due to regional differences in diet, physical activity, socioeconomic status, and healthcare access, which contribute to contrasting rates of obesity.

Consumption of animal-based proteins is the most energy-intensive and environmentally significant concern, especially in the livestock sector. Plant-based proteins can lower greenhouse gas emissions and provide an important strategy for environmental sustainability (47). In SA, urbanization and rising income are key factors in the westernization of dietary habits. This shift is characterized by an increased consumption of animal-based products, energy-dense foods, and ultra-processed foods. Animal-based protein consumption showed that GZ had the highest weekly protein consumption, whereas GX had the lowest. Conversely, the GX group showed the highest weekly consumption of plant-based proteins. Notably, GY ranked second in consumption of both animal- and plant-based proteins. Traditionally, the consumption of animal-based proteins, especially red meat, in SA is influenced by various variables, including cultural and social elements, and serving generous portions of meat is regarded as a symbol of hospitality and generosity on all occasions. The average daily consumption of red meat by SA citizens is 73.26 g per day (48). Another explanation that could support this behavior is the genuine lack of information about the environmental benefits of plant-based protein consumption such as the lowering of carbon emissions.

A cross-cultural study by Migliavada et al. (32) aimed to examine how impulsive traits and individuals’ knowledge of sustainable food impact the frequency of animal- and plant-based food consumption. Among participants in Turkey, the consumption of animal- based food was significantly (p = 0.03) higher for GY (p = 0.03), but among those in Italy, GZ showed a significantly (p = 0.04) higher consumption of animal-based foods compared with GY. Regarding consumption of plant-based foods, no significant generational differences were reported between the Italian and Turkish populations. However, participants in Italy showed a significantly higher consumption of plant-based foods.

Ruzgys and Pickering (49) found that GZ were reluctant to decrease meat consumption because of a disconnect between their beliefs and actions regarding sustainable diets. The motivation for adopting certain sustainable practices may stem more from health considerations than from environmental benefits. Only 55% of the GZ participants perceived a reduction in red meat consumption as beneficial to the environment, but few were willing to reduce meat consumption for environmental reasons.

The results revealed that most participants unwilling to adopt a plant-based diet across the three generations were in the PC/C stage, with a relatively few in A/M and P/R stages. Notably, most participants from GZ and GY (83.00%) were in the PC/C stages, whereas GX had a higher proportion of participants in A/M and P/R stages (21.24%) than GZ and GY (16.00%). This observation could be due to the unwillingness of participants to fully adopt plant-based diets, as there are some potential obstacles and facilitators for consumption, such as insufficient information, difficulty in developing new cooking skills, and positive expectations for the flavor of plant-based diets (50). According to a study (51), GZ has strong positive attitudes toward environmental concerns; however, if these concerns do not directly impact their lives, it may be because of their hesitation to adopt to plant-based diets owing to the difficulty of making a complete switch.

Health was the first motivator across all generations to adopt SHDs, as shown in previous studies (14, 26, 30, 52). However, dietary guidelines across the world focus only on health without environmental considerations, as observed in the present study, and environmental sustainability is ranked as the second-to-last motivator before animal welfare across all generations. For many people, environment related concerns are increasing, but may not be as central to decision making as personal health. Similarly, animal welfare is important, but is viewed as a secondary issue, which contributes to its lower ranking compared with other motivators. The second motivator was weight loss, especially in GY (53.9%), of whom more than half of the participants were categorized as having a normal weight. This may be because individuals in this age group are more health conscious and aware of the long-term benefits of maintaining a healthy weight compared with other generations (14, 32).

Fostering long-term sustainability requires measuring interdependence among the environment, animals, and human health. Participants who scored the highest on the dimension of healthy and balanced diet, food waste, and quality labels showed the most potential to adopt SHEBs, which is in line with the results from other studies evaluating SHEBs using the same scale (39, 53, 54). The total score of GX participants on the SHEBs scale was significantly higher (p = 0.007) than that of GZ and GY participants. This finding suggests that the GX participants may demonstrate a greater willingness to adopt SHEBs.

Linear regression analysis revealed the key predictors of SHEBs across generations, with variations in their influencing dimensions. Higher body weight and increased consumption of plant-based proteins were predictors of more SHEBs adoption in GZ. Interestingly, this result contrasts with the findings of a previous study (53), which showed that lower SHEBs scores were associated with obesity. This observation suggests that for the GZ, adopting plant-based diets may offset the negative association between higher body weight and healthy eating behaviors. Forty-three percent of GZ are unfamiliar with SHDs, with 83% in PC/C stages demonstrating a lack of interest in change and adoption of SHDs. Usually, SHDs are expensive, which is a major barrier to adopting them. Young adults in Poland opined that SHDs were closely associated with health and balance, but they were less available and more expensive than other diets (37). GZ are typically not committed to adopting SHDs, as many of them are university students who live away from home, which significantly influences their eating habits.

The consumption of plant-based proteins in GY was a significant predictor of higher adoption of SHEBs. These findings align with the results of other studies, such as those of Migliavada et al. (32), highlighting the positive relationship between plant-based protein intake and SHDs in GY. They exhibit traits from both generations, older (GX) and the youngest (GZ), most of whom are married; have a higher level of education; only 10.63% are obese, with more than 50.00% having a normal weight; and almost 26.00% are familiar with the meaning of SHDs. GY ranked second after GX in A/M stages and had the same percentage in PC/C stages (83.00%) as GZ in adopting SHDs. A possible reason for the presence of most participants in the PC/C stages is that young GY typically practice different eating behaviors than older generations (55). Notably, almost 40% of GY, like GZ, have a low income, which may affect their ability to adopt SHDs, resulting in the selection of fewer SHD options aligned with their financial limitations. Environmental sustainability (22.00%), religious beliefs (21.00%), and animal welfare (9.00%) were the key motivations driving GY to adopt SHDs more than GZ and GX. This may be attributable to GY’s greater knowledge of SHDs related to environmental and ethical issues together with a strong inclination toward aligning their dietary choices involving personal values and social responsibilities. Gala et al. (55) and DePew and Gonzales (56) reported different findings among adults in the United States where GY were more likely to be obese than GX, had low personal values and social responsibility, and reported poor self-esteem, followed by GX.

GX reduced the consumption of animal-based proteins, increased the intake of plant-based proteins, and had higher BMI as a predictor of more SHEBs. This result indicates that GX participants may have been more conscious of balancing their dietary choices with sustainable practices, possibly influenced by a higher percentage (55.00%) of overweight or obese participants. However, most GX participants were willing to adopt SHDs compared with other generations (21.24% in stages P/R and A/M). Our findings are consistent with previous studies, which found that older adults are more receptive to adopting SHDs than younger ones (14, 32, 39). The most important dimensions affecting GX were the adoption of SHEBs, quality labels, reduction in meat consumption, and food waste. Swiss participants also reported a positive perception on local and seasonal foods and that placing organic brands often reduces environmental impact (57). Notably, more than 60% of GX are married, which may influence their beliefs and behaviors, and have more SHEBs, making them the most willing generation to adopt SHDs compared with other generations. Previous studies suggest that married individuals tend to prioritize their health, both for the well-being of their families and because of the stability in relationship that marriage often provides (14, 32).

This study has several strengths. First, to the best of our knowledge, this is the first study to evaluate the perspectives on adoption of SHEBs among adults in SA across generations and fill a significant research gap. Second, this study offers valuable information on dietary behaviors and motivations across different generations. Third, the study investigates multiple factors, including socioeconomic status, protein consumption, readiness to adopt plant-based diets, anthropometric measurements, and motivational variables, to provide a comprehensive understanding of these factors. Fourth, the study used validated and reliable tools to assess participants’ SHEBs and ensured accuracy during data collection. Finally, the large sample size involving 637 participants from different generations provided cultural and environmental variation and good statistical power.

The present study has several limitations, the first of which is its cross-sectional design, which makes it difficult to determine the course and effect, and we cannot capture changes in behaviors over time. Second, the FFQ was culturally adapted and pilot tested, it was not fully validated for the Saudi population using reference dietary assessment methods. This could affect the precision of reported protein intake estimates. Third, dietary behaviors and anthropometric measurements of self-recall can cause over or underestimation owing to social desirability. Fourth, despite the efforts to reduce bias through anonymous responses and broad recruitment, the use of an online convenience sampling approach may have introduced selection bias, with possible underrepresentation of individuals who are less active online or less comfortable with digital tools. Response bias cannot be fully excluded due to the self-reported nature of the data. Fifth, the one-item measure familiarity with SHDs does not reflect the level of interest surrounding the adoption of SHDs, which can change over time owing to external factors. Sixth, almost 70% of the participants were women who were more inclined to complete questionnaires related to health to express their opinions, unlike men who may quit early. Finally, our sample was not representative of the general population in SA.

5 Conclusion

This study reveals critical generational gaps in the understanding and adoption of SHDs in Saudi Arabia. While health remains the strongest motivator, environmental sustainability and animal welfare are secondary considerations, particularly among younger generations. The findings emphasize the urgent need for tailored educational and policy interventions that address specific generational needs and barriers. Encouraging plant-based protein consumption, reducing food waste, and promoting local food sources can collectively support health and environmental goals. SA commitment to Vision 2030 offers a strategic framework to foster these dietary shifts, contributing to climate change mitigation and food security.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The Scientific Research Ethics Committee of King Faisal University approved this study (KFU-REC-2023-JAN-ETHICS483). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

SA-H: Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Writing – original draft. HA-O: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Software, Supervision, Visualization, Writing – review & editing. AA: Conceptualization, Data curation, Investigation, Methodology, Validation, Visualization, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No. KFU250618].

Acknowledgments

The authors extend their gratitude to all participants for their time and valuable contributions to this study.

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. Popkin, BM, Adair, LS, and Ng, SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. (2012) 70:3–21. doi: 10.1111/j.1753-4887.2011.00456.x

PubMed Abstract | Crossref Full Text | Google Scholar

2. Gropper, SS. The role of nutrition in chronic disease. Nutrients. (2023) 15:664. doi: 10.3390/nu15030664

PubMed Abstract | Crossref Full Text | Google Scholar

3. IPCC. Climate Change Widespread, Rapid, and Intensifying [Internet]. (2021). Available online at: https://www.ipcc.ch/2021/08/09/ar6-wg1-20210809-pr/ (Accessed May 20, 2025).

Google Scholar

4. United Nations Environment Programme. Emissions Gap Report 2024: No More Hot Air… Please! With a Massive Gap Between Rhetoric and Reality, Countries Draft New Climate Commitments. Nairobi: UNEP (2024).

Google Scholar

5. Kowalsky, TO, Morilla, R, de la Osa, R, and Cerrillo, I. Sustainable diets as tools to harmonize the health of individuals, communities and the planet: a systematic review. Nutrients. (2022) 14:928. doi: 10.3390/nu14050928

PubMed Abstract | Crossref Full Text | Google Scholar

6. United Nations Environment Programme. (2021). Emissions Gap Report 2021: The Heat Is On - A World of Climate Promises Not Yet Delivered [Internet]. Available online at: https://oneplanetschool.wwf.it/pubblicazioni/emissions-gap-report-2021-heat-world-climate-promises-not-yet-delivered-unep (Accessed March 4, 2025).

Google Scholar

7. Garnett, T, Mathewson, S, Angelides, P, and Borthwick, F. Policies and actions to shift eating patterns: what works. Foresight. (2015) 515:518–22. Available at: https://www.tabledebates.org/sites/default/files/2020-10/fcrn_chatham_house_0.pdf (Accessed March 12, 2025).

Google Scholar

8. FAO. (2025). Sustainable Healthy Diets Guiding Principles [Internet]. Available online at: https://openknowledge.fao.org/server/api/core/bitstreams/03bf9cde-6189-4d84-8371-eb939311283f/content (Accessed January 14, 2025).

Google Scholar

9. Saudi Food and Drug Authority. The SFDA’S comprehensive approach to health and nutrition: Exploring the multifaceted Food strategy to tackle obesity and improve public health [internet]. (2025). Available online at: https://beta.sfda.gov.sa/sites/default/files/2024-02/The%20SFDA%E2%80%99s%20Comprehensive%20Approach%20to%20Health.pdf (Accessed January 11, 2025).

Google Scholar

10. Guo, L, et al. Generational differences in food consumption among Chinese adults of different ages. Nutrients. (2023) 15:4451. doi: 10.3390/nu15204451

PubMed Abstract | Crossref Full Text | Google Scholar

11. Savelli, E, Murmura, F, and Bravi, L. Healthy and quality food attitudes and lifestyle: a generational cohort comparison. TQM J. (2023) 36:2693–722. doi: 10.1108/TQM-05-2023-0156

Crossref Full Text | Google Scholar

12. Taylor, MB, Daiss, S, and Krietsch, K. Associations among self-compassion, mindful eating, eating disorder symptomatology, and body mass index in college students. Transl Issues Psychol Sci. (2015) 1:229–38. doi: 10.1037/tps0000035

Crossref Full Text | Google Scholar

13. Makowska, M, Boguszewski, R, and Hrehorowicz, A. Generational differences in food choices and consumer behaviors in the context of sustainable development. Foods. (2024) 13:521. doi: 10.3390/foods13040521

PubMed Abstract | Crossref Full Text | Google Scholar

14. Culliford, A, and Bradbury, J. A cross-sectional survey of the readiness of consumers to adopt an environmentally sustainable diet. Nutr J. (2020) 19:138. doi: 10.1186/s12937-020-00644-7

Crossref Full Text | Google Scholar

15. Schoolman, ED, Shriberg, M, Schwimmer, S, and Tysman, M. Green cities and ivory towers: how do higher education sustainability initiatives shape millennials’ consumption practices? J Environ Stud Sci. (2016) 6:490–502. doi: 10.1007/s13412-014-0190-z

Crossref Full Text | Google Scholar

16. Dragolea, LL, Ionela, BG, Kot, S, and Zamfir, CG. Determining factors in shaping the sustainable behavior of the generation Z consumer. Front Environ Sci. (2023) 11:1096183. doi: 10.3389/fenvs.2023.1096183

Crossref Full Text | Google Scholar

17. Durukan, A, and Koyuncu, AG. Mindful eating: differences of generations and relationship of mindful eating with BMI. Int J Gastron Food Sci. (2019) 18:100172. doi: 10.1016/j.ijgfs.2019.100172

Crossref Full Text | Google Scholar

18. WHO. (2025). Noncommunicable Diseases Progress Monitor [Internet]. Available online at: https://www.who.int/publications/i/item/ncd-progress-monitor-2020 (Accessed June 28, 2025).

Google Scholar

19. Tyrovolas, S, El Bcheraoui, C, Alghnam, SA, Alhabib, KF, Almadi, MAH, Al-Raddadi, RM, et al. The burden of disease in Saudi Arabia 1990-2017: results from the global burden of disease study 2017. Lancet Planet Health. (2020) 4:e195–208. doi: 10.1016/S2542-5196(20)30075-9

Crossref Full Text | Google Scholar

20. Zaher, SA, Bookari, K, Arrish, J, Alnafisah, R, Alobaid, R, Albuayjan, N, et al. Prevalence of self-reported food allergies among the Saudi population and investigation of the challenges faced by people with food allergy: a cross-sectional online survey-based study. Prog Nutr. (2023) 25:2023017. doi: 10.23751/pn.v25i1.13504

Crossref Full Text | Google Scholar

21. Moradi-Lakeh, M, et al. Diet in Saudi Arabia: findings from a nationally representative survey. Public Health Nutr. (2017) 20:1075–81. doi: 10.1017/S1368980016003141

PubMed Abstract | Crossref Full Text | Google Scholar

22. Saudi Food and Drug Authority. SFDA launches healthy Food regulation strategy tomorrow [internet]. (2025). Available online at: https://sfda.gov.sa/en/news/1941 (Accessed February 5, 2025).

Google Scholar

23. FAO. Saudi Arabia and FAO Partnering for Strengthened Food Security and Sustainable Agricultural and Rural Development [Internet]. (2025). Available online at: https://openknowledge.fao.org/handle/20.500.14283/ax278e (Accessed February 21, 2025).

Google Scholar

24. Ghanem, AM, and Alamri, YA. The impact of the green Middle East initiative on sustainable development in the Kingdom of Saudi Arabia. J Saudi Soc Agric Sci. (2023) 22:35–46. doi: 10.1016/j.jssas.2022.06.001

Crossref Full Text | Google Scholar

25. Hassan, R, Rahman, M, and Hamdan, A. Assessment of air quality index (AQI) in Riyadh, Saudi Arabia. IOP Conf Ser Earth Environ Sci. (2022) 1026:012003. doi: 10.1088/1755-1315/1026/1/012003

Crossref Full Text | Google Scholar

26. Alnasser, A, and Musallat, N. Food sustainability knowledge among Saudis: towards the goals of Saudi vision 2030. Sustainability. (2022) 14:11398. doi: 10.3390/su141811398

Crossref Full Text | Google Scholar

27. Alhothali, GT, Almoraie, NM, Shatwan, IM, and Aljefree, NM. Sociodemographic characteristics and dietary choices as determinants of climate change understanding and concern in Saudi Arabia. Int J Environ Res Public Health. (2021) 18:10605. doi: 10.3390/ijerph182010605

Crossref Full Text | Google Scholar

28. Althumiri, NA, Basyouni, MH, Duhaim, AF, AlMousa, N, AlJuwaysim, MF, and Bin Dhim, NF. Understanding food waste, food insecurity, and the gap between the two: a nationwide cross-sectional study in Saudi Arabia. Foods. (2021) 10:681. doi: 10.3390/foods10030681

PubMed Abstract | Crossref Full Text | Google Scholar

29. AlHusseini, N, et al. Vegan, vegetarian and meat-based diets in Saudi Arabia. Cureus. (2021) 13:e18073. doi: 10.7759/cureus.18073

PubMed Abstract | Crossref Full Text | Google Scholar

30. Al-Mohaithef, M. Prevalence of vegan/vegetarian diet and eating behavior among Saudi adults and its correlation with body mass index: a cross-sectional study. Front Nutr. (2022) 9:966629. doi: 10.3389/fnut.2022.966629

PubMed Abstract | Crossref Full Text | Google Scholar

31. Alnasser, A, and Alomran, N. The motivations and practices of vegetarian and vegan Saudis. Sci Rep. (2023) 13:9742. doi: 10.1038/s41598-023-36980-x

Crossref Full Text | Google Scholar

32. Migliavada, R, Coricelli, C, Bolat, EE, Uçuk, C, Torri, L, et al. The modulation of sustainability knowledge and impulsivity traits on the consumption of foods of animal and plant origin in Italy and Turkey. Sci Rep. (2022) 12:20036. doi: 10.1038/s41598-022-24325-z

Crossref Full Text | Google Scholar

33. World Health Organization. (2000). Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation on Obesity [Internet]. Available online at: http://www.who.int/nutrition/publications/obesity_executive_summary.pdf (Accessed May 20, 2025).

Google Scholar

34. Lea, E, Crawford, D, and Worsley, A. Consumers’ readiness to eat a plant-based diet. Eur J Clin Nutr. (2006) 60:342–51. doi: 10.1038/sj.ejcn.1602320

PubMed Abstract | Crossref Full Text | Google Scholar

35. Hu, FB, Satija, A, Rimm, EB, Spiegelman, D, Sampson, L, Rosner, B, et al. Diet assessment methods in the nurses’ health studies and contribution to evidence-based nutritional policies and guidelines. Am J Public Health. (2016) 106:1567–72. doi: 10.2105/AJPH.2016.303348

PubMed Abstract | Crossref Full Text | Google Scholar

36. Hagmann, D, Siegrist, M, and Hartmann, C. Meat avoidance: motives, alternative proteins and diet quality in a sample of Swiss consumers. Public Health Nutr. (2019) 22:2448–59. doi: 10.1017/S1368980019001277

Crossref Full Text | Google Scholar

37. Żakowska-Biemans, S, Pieniak, Z, Kostyra, E, and Gutkowska, K. Searching for a measure integrating sustainable and healthy eating behaviors. Nutrients. (2019) 11:95. doi: 10.3390/nu11010095

PubMed Abstract | Crossref Full Text | Google Scholar

38. Selcuk, KT, Atan, RM, Arslan, S, and Sahin, N. Is food insecurity related to sustainable and healthy eating behaviors? Environ Sci Pollut Res Int. (2023) 30:74280–9. doi: 10.1007/s11356-023-27694-8

Crossref Full Text | Google Scholar

39. Öner, N, Durmuş, H, Yaşar Fırat, Y, Borlu, A, and Özkan, N. Sustainable and healthy eating behaviors and environmental literacy of generations X, Y and Z with the same ancestral background: a descriptive cross-sectional study. Sustainability. (2024) 16:2497. doi: 10.3390/su16062497

Crossref Full Text | Google Scholar

40. Marty, L, Chambaron, S, de Lauzon-Guillain, B, and Nicklaus, S. The motivational roots of sustainable diets: analysis of food choice motives associated to health, environmental and socio-cultural aspects of diet sustainability in a sample of French adults. Clean Respons Consum. (2022) 5:100059. doi: 10.1016/j.clrc.2022.100059

Crossref Full Text | Google Scholar

41. Chang, S, Chang, Y, and Wu, L. Gender differences in lifestyle and risk factors of metabolic syndrome: do women have better health habits than men? J Clin Nurs. (2019) 28:2225–34. doi: 10.1111/jocn.14824

PubMed Abstract | Crossref Full Text | Google Scholar

42. Annunziata, A, Agovino, M, and Mariani, A. Sustainability of Italian families’ food practices: Mediterranean diet adherence combined with organic and local food consumption. J Clean Prod. (2019) 206:86–96. doi: 10.1016/j.jclepro.2018.09.155

Crossref Full Text | Google Scholar

43. Acar Tek, N, Karaçil Ermumcu, MS, Erdoğan Gövez, N, and Çıtar Dazıroğlu, ME. Evaluation of awareness, knowledge, and attitudes level of sustainable nutrition in different age groups: a cross-sectional study. Eur J Environ Public Health. (2023) 7:em0142. doi: 10.29333/ejeph/13266

Crossref Full Text | Google Scholar

44. Kaner, G, Kurklu, NS, Depboylu, GY, and İnsel, TH. Knowledge and opinions about sustainable nutrition and the factors associated with sustainable and healthy eating behaviors in adults. Galician Med J. (2024) 31:1–10. doi: 10.21802/e-GMJ2024-A20

Crossref Full Text | Google Scholar

45. Althumiri, NA, Alammari, NS, Almubark, RA, Alnofal, FA, Alkhamis, DJ, Alharbi, LS, et al. The national survey of health, diet, physical activity and supplements among adults in Saudi Arabia. Food Drug Regul Sci J. (2018) 1:1. doi: 10.32868/rsj.v1i1.21

Crossref Full Text | Google Scholar

46. Martinson, ML, Lapham, J, Ercin-Swearinger, H, Teitler, JO, Reichman, NE, et al. Generational shifts in young adult cardiovascular health? Millennials and generation X in the United States and England. J Gerontol B Psychol Sci Soc Sci. (2022) 77:S177–88. doi: 10.1093/geronb/gbac036

Crossref Full Text | Google Scholar

47. FAO. Major Cuts of Greenhouse Gas Emissions from Livestock within Reach [Internet]. (2024). Available online at: https://www.fao.org/partnerships/container/news-article/en/c/209251/ (accessed Jul 28, 2024).

Google Scholar

48. Kinawy, AA, Abdelradi, H, and Said, R. Determinants of fresh and processed meat consumption in Saudi Arabia. Sci J Agric Sci. (2021) 3:307–16. doi: 10.21608/sjas.2021.98215.1155

Crossref Full Text | Google Scholar

49. Ruzgys, S, and Pickering, GJ. Gen Z and sustainable diets: application of the transtheoretical model and the theory of planned behaviour. J Clean Prod. (2023) 434:140300. doi: 10.1016/j.jclepro.2023.140300

Crossref Full Text | Google Scholar

50. Graça, J, Godinho, CA, and Truninger, M. Reducing meat consumption and following plant-based diets: current evidence and future directions to inform integrated transitions. Trends Food Sci Technol. (2019) 91:380–90. doi: 10.1016/j.tifs.2019.07.046

Crossref Full Text | Google Scholar

51. Van Der Horst, H, Sällylä, A, and Michielsen, YJ. Game changers for meat and masculinity? Male athletes’ perspectives on mixed and plant-based diets. Appetite. (2023) 187:106585. doi: 10.1016/j.appet.2023.106585

PubMed Abstract | Crossref Full Text | Google Scholar

52. Chen, J, Xu, A, Tang, D, and Zheng, M. Divergence and convergence: a cross-generational study on local food consumption. Sci Rep. (2024) 14:13463. doi: 10.1038/s41598-024-64284-1

Crossref Full Text | Google Scholar

53. Kocaadam-Bozkurt, B, and Bozkurt, O. Relationship between adherence to the Mediterranean diet, sustainable and healthy eating behaviors, and awareness of reducing the ecological footprint. Int J Environ Health Res. (2023) 33:1–11. doi: 10.1080/09603123.2023.2230278

Crossref Full Text | Google Scholar

54. Turk, M, and Yousefirad, N. Analysis of housewives’ knowledge levels and behaviors toward food waste and sustainable nutrition. Int J Agric Environ Food Sci. (2023) 7:21–8. doi: 10.31015/jaefs.2023.1.3

Crossref Full Text | Google Scholar

55. Gala, P, Rippe, CB, Dubinsky, AJ, and Favia, MJ. Effects of menu calorie information and product image on millennials’ purchase intention. Mark Manag J. (2018) 28:127–44.

Google Scholar

56. DePew, R, and Gonzales, G. Differences in health outcomes between millennials and generation X in the USA: evidence from the National Health Interview Survey. Popul Res Policy Rev. (2019) 39:605–16. doi: 10.1007/s11113-019-09562-x

Crossref Full Text | Google Scholar

57. Lazzarini, GA, Visschers, VHM, and Siegrist, M. Our own country is best: factors influencing consumers’ sustainability perceptions of plant-based foods. Food Qual Prefer. (2017) 60:165–77. doi: 10.1016/j.foodqual.2017.04.008

Crossref Full Text | Google Scholar

Keywords: sustainable diets, food systems, plant-based protein, generational diets, nutritional transition, dietary behavior change

Citation: Al-Hashim S, Al-Otaibi HH and Alhajri AS (2025) Generational perspectives on sustainable diets in Saudi Arabia: implications for food security and behavioral change. Front. Nutr. 12:1672606. doi: 10.3389/fnut.2025.1672606

Received: 24 July 2025; Accepted: 08 September 2025;
Published: 23 September 2025.

Edited by:

Isaac Oluwatayo, University of Venda, South Africa

Reviewed by:

Joan Sabate, Loma Linda University, United States
Mona Hashim, University of Sharjah, United Arab Emirates

Copyright © 2025 Al-Hashim, Al-Otaibi and Alhajri. 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: Hala Hazam Al-Otaibi, aGhhbG90YWliaUBrZnUuZWR1LnNh

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.