Integrating Plant-Based Diets into Schools for a Healthier and More Sustainable Future: A Contemporary Overview
Abstract
1. Introduction
2. Method
3. Environmental and Social Impacts of Current Food Systems
3.1. Environmental Implications
3.2. Social Implications
4. The Effects of Plant-Based Diets on Health
4.1. Plant-Based Diets in Physiological Health
4.1.1. Metabolic, Glycemic, and Cardiovascular Benefits
4.1.2. Muscle Function and Proteins
4.1.3. Nutrient Composition and Mechanistic Effects
4.1.4. Interventions in Pediatric Populations
4.2. Plant-Based Diets and the Gut Microbiome
4.3. Plant-Based Diets in Mental Health
5. Determinants of Plant-Based Diet Implementation in Schools
5.1. School-Related Barriers and Facilitators
5.2. Healthcare-Related Barriers and Facilitators
6. Toward Future-Oriented Dietary Guidelines
7. Discussion
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ACEs | Adverse childhood experiences |
| BMI | Body mass index |
| CRP | C-reactive protein |
| FBDGs | Food-based dietary guidelines |
| FV | Fruit and vegetable |
| GM | Gut microbiome |
| Gt CO2e | Gigatons of carbon dioxide equivalent |
| HbA1c | Glycated hemoglobin |
| HDL | High-density lipoproteins |
| IL-6 | Interleukin-6 |
| LDL | Low-density lipoproteins |
| PB-APAs | Plant-based animal product alternatives |
| P/B | Prevotella to Bacteroides ratio |
| SCFAs | Short-chain fatty acids |
| SFA | Saturated fatty acids |
| T2DM | Type 2 diabetes mellitus |
| TC | Total cholesterol |
| TMAO | Trimethylamine N-oxide |
| WFPB | Whole-food plant-based |
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| Reference | Intervention | Results/Outcomes |
|---|---|---|
| Alexy et al., 2021 [152] | Germany. Cross-sectional. N = 149 Veg, N = 115 VE, and N = 137 OM (6–18 years old). Mean age: 12.7 years. | Veg and VE children showed generally adequate nutritional status compared to OM. VE participants had higher folate and lower LDL-C/non-HDL-C, while Veg exhibited lower holotranscobalamin and higher methylmalonic acid. Ferritin was highest in OM. Overall, no major nutritional risks were observed among Veg or VE youth. |
| Ambroszkiewicz et al., 2011 [153] | Poland. Cross-sectional. N = 30 Veg (4–10 years, 18 males, 12 females): 15 LOV since birth, 2 LV, 9 OV, 4 VE. Control group: N = 60 OM | Veg exhibited normal height, weight, and lean/fat body mass, with lower fat mass than OM. Blood lipids were within physiological ranges, with total cholesterol, LDL, and triglycerides lower in Veg. Leptin levels were approximately halved, and adiponectin levels were higher compared to OM. |
| Ambroszkiewicz et al., 2018 [154] | Poland. Cross-sectional. N = 62 Veg, and N = 55 OM (5–10 years old). | Veg and OM children were comparable in age, weight, height, BMI, and body composition. Veg had lower leptin/soluble leptin receptor ratios and resistin levels, with higher anti-inflammatory to pro-inflammatory adipokine ratios. Other adipokines were similar between groups. |
| Ambroszkiewicz et al., 2023 [155] | Poland. Cross-sectional. N = 51 Veg, and N = 25 OM (4–9 years old). | BMI did not differ between Veg and OM. Veg showed 10–15% lower serum levels of valine, lysine, leucine, and isoleucine, slightly lower (but normal) serum albumin, higher CTX-I, and no differences in other bone metabolism markers or PTH. |
| Desmond et al., 2021 [156] | Poland. Cross-sectional. N = 63 Veg, N = 52 VE, and N = 72 OM (5–10 years old). | VE diets were linked to a healthier cardiovascular profile but higher risk of nutritional deficiencies, lower bone mineral content, and shorter height. Veg had fewer deficiencies but a less favorable cardiometabolic profile. |
| Elliot et al., 2022 [157] | Canada. Longitudinal. A total of 8907 children aged 6 months to 8 years, including N = 248 Veg at baseline, participated. Mean age at baseline was 2.2 years. | Veg diets showed no association with zBMI, height-for-age, ferritin, vitamin D, or serum lipids. Veg children had higher odds of underweight. Milk intake influenced cholesterol levels but children meeting the recommended 2 cups/day had similar serum lipids. |
| Gorczyca et al., 2011 [158] | Poland. Cross-sectional. N = 24 Veg (2–18 years, 6 males, 18 females): 2 VE, 10 LOV, 7 LV or OV, 5 SV; all on Veg diet for at least 1 year, no allergies, no use of nutritional supplements. Control group: 16 OM with allergies, 18 OM without allergies. | Veg had similar height, weight, and most blood lipids to omnivores. Linoleic acid was higher and eicosapentaenoic acid lower in Veg compared to allergic OM. |
| Gorczyca et al., 2013 [159] | Poland. Cross-sectional. N = 22 Veg children (2–18 years, 5 males, 17 females): 11 LOV, 6 LV, 5 SV; all on a Veg diet for at least 1 year, no use of Fe supplements; mainly parents also were Veg. Control group: 18 OM | Veg had similar height and weight to OM but showed higher prevalence of iron deficiency (serum ferritin 9.6 μg/L vs. 36.1 μg/L) and a negative correlation between age and iron intake. |
| Hovinen et al., 2021 [160] | Finland. Cross-sectional. N = 10 Veg, N = 6 VE, and N = 24 OM children (mean age 3.5 years old). | VE participants exhibited vitamin A insufficiency and borderline vitamin D levels, along with low total, HDL, LDL cholesterol, essential amino acids, and DHA. Metabolomic profiles, bile acid biosynthesis, and phospholipid balance differed from OM. |
| Jen et al., 2018 [161] | The Netherlands. Prospective cohort. N = 3991. Age 8–10 years old. | Higher protein intake at age 8 was linked to increased risk of overweight/obesity up to age 10, mainly via higher FFMI rather than FMI. Both plant and animal protein increased FFMI, with plant protein showing a stronger effect. Higher plant protein intake was associated with lower FMI, while higher animal protein intake trended toward higher FMI. |
| Laskowska-Klita et al., 2011 [162] | Poland. Cross-sectional. N = 32 Veg (2–10 years, 18 males, 14 females): 21 LOV, 1 LV, 5 OV, 5 VE Control group: 18 OM. | Iron status (Fe, total iron-binding capacity, ferritin, transferrin) and vitamins B12, A, and E were within physiological ranges in Veg. Homocysteine (5.79 μmol/L) and vitamin A (1.25 μmol/L) were similar to OM, while vitamin E and overall antioxidant status were slightly lower. Vitamin D levels (13.7 μg/L) were approximately half the reference limit. |
| Matthews et al., 2011 [163] | The United States. Prospective cohort. N = 1764 SDA and OM children (879 males, 885 females, 6–18 years). No control group | 17% of boys and 20% of girls were overweight in both groups. Higher nut and vegetable intake was associated with lower overweight risk, while higher dairy intake was positively associated. No significant associations were observed for meat, fish, eggs, or fruit consumption. |
| Rowicka et al., 2023 [164] | Poland. Cross-sectional. N = 32 LOV, and N = 40 OM (2–10 years old). | Children on a LOV diet showed lower TOC, GSH, and GSSG, but higher TAC compared to OM. OSI was lower in LOV, while GSH/GSSG ratio, CRP, and calprotectin were similar between groups. Correlations indicated maintained oxidant–antioxidant balance in LOV children. |
| Světnička et al., 2022 [165] | Czech Republic. Cross-sectional. N = 79 Veg, N = 69 VE, and N = 52 OM (0–18 years). | No differences were observed in holotranscobalamin, folate, homocysteine, or mean corpuscular volume. Cyanocobalamin (B12) levels differed, with few children showing deficiency but many exhibiting B12 hypervitaminosis (Veg: 35, VE: 28, OM: 9). Supplementation significantly affected B12, aB12, and homocysteine levels. |
| Světnička et al., 2023 [166] | Czech Republic. Cross-sectional. N = 91 Veg, N = 75 VE, and N = 52 OM (0–18 years old). Stratified analyses were performed based on age: 0–5 years and 6–18 years. | VE and Veg children showed a trend toward lower UIC than OM, indicating a potentially higher risk of iodine deficiency. Further research is needed to assess long-term effects on iodine status and thyroid function. |
| Weder et al., 2019 [167] | Germany. Cross-sectional. N = 127 Veg, N = 139 VE, and N = 164 OM (1–3 years old). | Energy intake, energy density, and anthropometrics were similar across groups. OM children consumed more protein and added sugars, while VE children consumed more carbohydrates and fiber, indicating that Veg and VE diets can support normal growth comparable to OM children. |
| Reference | Intervention | Barriers | Facilitators | Limitations |
|---|---|---|---|---|
| André et al., 2024 [239] | Sweden. Quantitative, pre-post controlled intervention study. N = 653 children. | No significant effect of either menu change or added information on the acceptance of pupils, suggesting limited immediate influence on meal satisfaction and consumption. | Implementation of low-carbon recipes fostered positive engagement. Providing clear information on environmental impact and sustainability enhanced awareness and receptivity without negative effects on consumption. | Small sample. Schools already accustomed to vegetarian meals. Acceptance may vary with local norms. |
| Aydin et al., 2022 [227] | Australia. Qualitative, cross-sectional study. N = 19 parents and 17 teachers. | Limited knowledge from educators, time constraints, and inconsistent food policies that hindered plant-based diet promotion. | Increased knowledge and awareness of health and environmental benefits, positive social modeling from peers or family members, easy access to appealing and nutritious plant-based foods, and supportive policies or institutional norms. | Convenience sampling. Rural participants underrepresented. Potential self-selection bias. Exploratory qualitative design limits generalizability. |
| Caso et al., 2024 [234] | Italy. Quantitative, between-subject experimental study. N = 617 parents. | Some parents lacked awareness or engagement with sustainable school meals. | Dynamic social norm nudges successfully encouraged parents to choose more environmentally friendly meals, especially among those with lower education levels. | Single-task focus. No standardized taxonomy for social norms. Small, non-representative sample. Hypothetical choices may introduce bias. Cross-sectional design. Nudge effect may be exaggerated. |
| Dahmani et al., 2024 [233] | France. Quantitative, cross-sectional study. N = 909 parents (from 1261 children). | Sensory preferences and familiarity reduced willingness to support vegetarian meals. | Parental support increased when linked to higher education, flexitarian or vegetarian diets, and motivations related to health, environment, or animal welfare. | No quota-based recruitment. Low response rate. Participant imbalance. Possible parental bias. Children’s perspectives excluded. |
| Eustachio Colombo et al., 2021 [240] | Sweden. Qualitative, cross-sectional study. N = 29 children and 13 kitchen staff. | Habitual eating patterns of pupils, sensory factors, peer pressure, and general dislike of school meals limited acceptance. Lack of stakeholder involvement (from pupils to municipality decision makers) and insufficient staff training hindered implementation. | Facilitators included gradual introduction of plant-based meals, careful attention to seasoning, naming and aesthetics of dishes, leadership support, and training for kitchen staff. Education in sustainable diets and involvement of multiple stakeholders also promoted acceptance. | Only three schools in one municipality. Selected grades only. High non-participation. Local variation not captured. |
| Glasson et al., 2012 [241] | Australia. Quantitative, pre-post controlled intervention study. N = 292 parents. | Eating habits, perceived high cost, lack of interesting or tasty ways to serve fruit or vegetables, lack of knowledge on how to prepare vegetables. | Facilitators included peer-led education, follow-up newsletters, guidance on serving sizes and recommendations, strategies to overcome barriers, and enhanced self-efficacy for increasing family fruit and vegetable intake. | Short follow-up. Self-reported data. Seasonal effects. Partial use of peer educators. Generalizability and feasibility limited. |
| Graça et al., 2022 [232] | Portugal. Qualitative, cross-sectional study. N = 33 stakeholders. | Cultural attachment to meat and socio-emotional factors acted as barriers to plant-based meal adoption. | Ethical and environmental motivations, improved meal availability, and community engagement facilitated acceptance of sustainable diets. | Focus on Portuguese public schools. Private schools excluded. Small stakeholder samples. No longitudinal or experimental designs. Transferability limited. |
| Hanbazaza et al., 2015 [242] | Canada. Quantitative, longitudinal intervention study. N = 116 children. | Lack of family or household involvement likely limited behavior transfer from school to home. | Experiential learning and repeated exposure at school improved the knowledge and taste preferences in children toward fruits and vegetables. | Moderate dropout. Non-randomized design. No control group. Self-reported data. Long-term changes not consistent. |
| Havermans et al., 2021 [243] | The Netherlands. Qualitative, cross-sectional study. N = 11 adolescents. | Low interest in plant-based diets, insufficient knowledge of dietary components, limited awareness of associated health and environmental benefits, and inadequate cooking skills. Anticipated poor taste, unfamiliarity with plant-based foods, and lack of experience using meat and dairy alternatives further hindered acceptance. | Facilitators included temporary confidence in adopting a plant-based diet, increased familiarity with plant-based foods through repeated exposure, supportive environments at school, home, and via social media, and nutrition education that incorporated cooking skills. | Small non-representative sample. Limited triangulation and adherence. Possible misinterpretation of “plant-based diet”. No participant background. Limited generalizability. |
| Hennchen et al., 2024 [230] | Germany. Mixed-methods study. N = 3015 adolescents (quantitative). | Insufficient funding, conflicting stakeholder demands, and parental or peer influences. | Opportunities for student engagement and systemic support could facilitate healthier and more sustainable practices. | Restricted generalizability beyond Germany. Non-representative Berlin schools. COVID-19 may have affected participation. |
| Hutchinson et al., 2015 [244] | United Kingdom. Quantitative, longitudinal intervention study. N = 777 children. | Gardening alone was insufficient to change attitudes toward fruit and vegetable consumption. Lack of complementary nutrition or cooking education limited behavior change. Pupils with high baseline knowledge had little room for improvement. Limited comprehension among English-as-second-language students hindered engagement. | Teacher-led gardening improved the attitudes and willingness of children to try new fruits. Greater gardening intensity positively influenced fruit and vegetable intake. Combining hands-on gardening with classroom education and supportive home environments enhanced intervention impact. | No non-gardening control. High dropout and potential ceiling effects. Self-reported data. No direct measure of fruit and vegetable intake differences. |
| Huys et al., 2019 [245] | Belgium. Quantitative, pre-post controlled intervention study. N = 350 children. | Short intervention duration, limited time for activities, minimal parental or community involvement, and inconsistent implementation reduced effectiveness and hindered changes in vegetable consumption, knowledge, and awareness. | Positive reception by teachers and children, and higher-quality implementation enhanced knowledge and awareness. | No long-term follow-up. Urban setting only. Non-random assignment and unmatched groups. School dropout and delayed implementation. Self-reported data may introduce bias. |
| Kararo et al., 2016 [246] | The United States. Quantitative, pre-post intervention study. N = 222 children. | Short intervention duration, pre-existing food habits, limited parental involvement, and low household availability of healthy foods hindered the potential for sustained dietary behavior change. | Experiential learning through gardening enhanced engagement and self-efficacy for healthy food choices. Multisensory, curriculum-integrated activities supported knowledge acquisition. Community collaboration facilitated program implementation and potential scalability. | Convenience sample. No experimental design. Self-reported data. No triangulation. Missing demographic data limits assessment of program effects. |
| Kim et al., 2019 [237] | South Korea. Qualitative, cross-sectional study. N = 15 overweight/obese children and 15 parents. | At home, parental food preferences, sibling differences, permissive grandparents, convenience foods, and fast eating created barriers. At school, time pressures, poor cafeteria environments, ineffective nutrition education, inconsistent teacher management, and unsafe food environments hindered healthy eating. | Awareness of the home and school environment’s influence and coordinated efforts among children, parents, teachers, and community members facilitated healthier eating. | Small metropolitan sample limits generalizability beyond Korea. Key stakeholders excluded. No analysis of parent–child perspectives or school-level barriers. |
| Kim et al., 2020 [247] | South Korea. Quantitative, pre-post intervention study. N = 202 children. | Lack of parental involvement and uncertainty about long-term sustainability and generalizability limited the potential impact of the intervention. | Hands-on gardening and cooking experiences increased food familiarity and reduced food neophobia. Improvements in dietary self-efficacy, outcome expectancies, gardening knowledge, and nutrition knowledge positively influenced vegetable preferences and consumption. Sensory exposure reinforced willingness to try new foods. | Pre-post design, single school. No control group. Parents not involved. Long-term effects not assessed. |
| Kupolati et al., 2016 [229] | South Africa. Qualitative, cross-sectional study. N = 24 teachers. | Limited school time, scarce resources, unhealthy vendor foods, and peer influences obstructed nutrition education. | Teachers acting as role models and the presence of nutritious school meals and school gardens supported healthy eating promotion. | Potential response bias. Limited transferability to affluent schools. Missing insights from absent participants. Focus on experienced teachers only. |
| McAleese et al., 2007 [248] | The United States. Quantitative, pre-post controlled intervention study. N = 99 children. | External influences, including home environment, parental behaviors, and other classroom activities, hindered the effectiveness of the intervention. | Garden-based nutrition education increased fruit and vegetable servings. Experiential learning through gardening enhanced engagement and consumption behaviors. | Non-randomized trial. Short duration. Small sample. Self-reported data. External influences not accounted for. Long-term behavior change unknown. |
| Morgan et al., 2010 [249] | Australia. Quantitative, pre-post controlled intervention study. N = 127 children. | Limited program duration, short follow-up, and the complexity of dietary behavior change hindered improvements in fruit and vegetable intake. | Nutrition education improved willingness to taste vegetables, taste ratings, ability to identify vegetables, and preference for certain vegetables. Experiential learning via school garden enhanced engagement and knowledge. | Non-randomized, two schools only. Short-term 24-h recall. Limited generalizability. Clustering effects not accounted for. |
| Nepper & Chai 2016 [236] | The United States. Qualitative, cross-sectional study. N = 25 parents. | Parents’ time constraints, food costs, children’s preferences for junk food, picky eating, early exposure to unhealthy foods, and limited spousal support hindered adoption of healthier dietary habits | Parental strategies to manage time, cost, and picky eating, together with consistent support across child age groups, facilitated healthier dietary practices. | Single interview set. Age-related differences not fully captured. Exploration of barriers and strategies limited. |
| Parmer et al., 2009 [251] | The United States. Quantitative, pre-post controlled intervention study. N = 115 children. | Real-world school constraints and lack of long-term follow-up hindered the assessment of sustained dietary behavior change. | Integration of gardening with classroom instruction enhanced engagement, while combined nutrition education and gardening improved fruit and vegetable knowledge, taste ratings, and consumption. | Gender imbalance. Non-randomized design. Small sample. No follow-up. |
| Perera et al., 2015 [238] | The United States. Qualitative, cross-sectional study. N = 106 teachers. | Competing academic expectations, lack of time, insufficient curricula, and unsupportive school and home food environments hindered nutrition education. | Integration of nutrition education into core subjects, involvement of school cafeterias, and parent participation facilitated effective teaching. | Feasibility limited by time, resources, and need for external support. School-day constraints may limit implementation. Alternative strategies not addressed. |
| Prelip et al., 2012 [252] | The United States. Quantitative, quasi-experimental pre-post study. N = 399 children. | Limited effectiveness was hindered by low parent engagement, challenges implementing the program in large school districts, and absence of evaluation on curriculum delivery, resulting in no significant increase in fruit and vegetable consumption despite improved knowledge and attitudes. | Teacher training strengthened their ability to influence student attitudes toward fruits and vegetables. The multicomponent nature of the program promoted the engagement of students and reinforced nutrition education, supporting positive changes in knowledge, attitudes, and behaviors toward fruits and vegetables. | Convenience sample. Potential selection bias. Self-reported data. Low knowledge scale reliability. Small sample. Single urban district limits generalizability. |
| Ratcliffe et al., 2011 [253] | The United States. Quantitative, pre-post panel study. N = 236 children (questionnaire) and 161 children (taste test). | Improvements in vegetable consumption did not extend to the home, suggesting school-only programs may be insufficient. Gardens were often seen as supplementary rather than integral to the curriculum, which may have reduced teacher engagement. | Hands-on gardening enhanced recognition, attitudes, preferences, willingness to taste, and variety of vegetables consumed. Integration with academic curriculum supported learning and health promotion. Collaboration with teachers and health educators can reinforce nutrition education across the school day. | Pre-post design, no control group. Vegetable intake not measured. Long-term impact unknown. Limited generalizability. |
| Roque et al., 2023 [231] | Portugal. Quantitative, cross-sectional study. N = 252 teachers and 104 parents/caregivers. | Some parents were less supportive of plant-based school policies due to cultural attachment to meat. | Teachers’ favorable social norms, lower attachment to meat, and injunctive norms enhanced support for school policies promoting plant-based diets. | Small, convenience, non-representative sample. Self-selection bias. Ad hoc measures with uncertain validity. Children and adolescents excluded. No longitudinal or mixed-method design. |
| Schreinemachers et al., 2017 [250] | Nepal. Quantitative, cluster randomized controlled trial. N = 1275 (2014) and 785 (2015) children. | Limited access to fruits and vegetables at home and in the community, along with low parental involvement, may have hindered behavior change. | Integration of gardening with educational lessons and promotional activities increased children’s knowledge, awareness, and preferences. | Schools as intervention unit. Small sample of 30 schools. Baseline selection bias. Short duration and single 24-h recall. No mixed-methods evaluation. |
| Schreinemachers et al., 2020 [254] | Nepal. Quantitative, cluster randomized controlled trial. N = 779 children and their caregivers. | Standalone school gardens were insufficient to change eating behavior, as household food availability and caregiver practices strongly shape children’s diets. | Combined school and home garden approach improved caregiver nutrition knowledge, agricultural knowledge, liking for vegetables, and home garden productivity. Intervention highlighted the importance of targeting both schools and households. | Short-term (1-year) evaluation. Self-reported data. Only two treatment arms, limiting separation of school vs. home garden effects. |
| Stapp et al., 2024 [228] | The United States. Mixed-methods study. N = 261 children and 19 teachers. | Reliance on canned rather than fresh vegetables and variability in school meal offerings may have limited the effectiveness of the intervention. | Integrating nutrition education into classrooms increased children’s preference for fruits and vegetables through hands-on, experiential activities. | Cannot quantitatively measure impact on families’ fruit and vegetable intake. |
| Zoltz et al., 2018 [235] | The United States. Quantitative, cross-sectional study. N = 163 ECE center directors. | Food costs, children’s preferences, and additional financial and educational burdens limited adherence and program participation. | Intervention facilitated compliance through federal reimbursement and familiarity with regulations. | Cross-sectional design prevents causal inference. Self-reported data. No center-level compliance comparison. Only directors surveyed, not teachers. |
| Domains | Contributing Determinants |
|---|---|
| Educational resources | Accessible, evidence-based educational resources and practical tools, including apps, handouts, recipes, and visual materials, support effective counseling and implementation of plant-based diets. |
| Education and training | Limited education and professional training in plant-based nutrition reduce confidence in discussing and implementing it in practice, whereas additional education and training enhance the ability to provide effective nutritional counseling. |
| Evidence-based guidelines | Awareness of scientific evidence on plant-based nutrition influences confidence in discussing and recommending it, and access to clear, evidence-based guidelines enhances self-efficacy and supports clinical practice. |
| Knowledge | Sufficient knowledge of plant-based nutrition, including definitions, principles, health benefits, disease management, and supporting evidence, facilitates recommendation and implementation, whereas limited knowledge acts as a barrier. |
| Lack of confidence in patient capabilities | Perceived patient limitations, including low motivation, knowledge gaps, socioeconomic constraints, cultural habits, and reliance on convenience foods, can reduce confidence in successful adoption of plant-based diets, whereas simpler nutrient-focused advice may be seen as more feasible. |
| Lack of time | Limited clinician and patient time, including demands of staying current with literature and prioritizing convenience in food preparation, restricts discussion, counseling, and adoption of plant-based diets. |
| Multidisciplinary collaboration | Collaboration across health and scientific disciplines ensures consistent, evidence-based messaging and reduces confusion for patients regarding plant-based nutrition. |
| Personal experience and interest | Personal adherence to or experience with plant-based diets increases willingness to counsel and fosters positive attitudes, while lack of experience contributes to perceptions of diets as unrealistic, difficult, or unappealing, with interest influenced by health, ethical, environmental, and personal factors. |
| Safety and compliance challenges | Concerns about nutrient management, particularly potassium and blood sugar control in patients with comorbidities, can limit confidence in recommending plant-based diets. |
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Borrego-Ruiz, A.; Borrego, J.J. Integrating Plant-Based Diets into Schools for a Healthier and More Sustainable Future: A Contemporary Overview. Future 2025, 3, 22. https://doi.org/10.3390/future3040022
Borrego-Ruiz A, Borrego JJ. Integrating Plant-Based Diets into Schools for a Healthier and More Sustainable Future: A Contemporary Overview. Future. 2025; 3(4):22. https://doi.org/10.3390/future3040022
Chicago/Turabian StyleBorrego-Ruiz, Alejandro, and Juan J. Borrego. 2025. "Integrating Plant-Based Diets into Schools for a Healthier and More Sustainable Future: A Contemporary Overview" Future 3, no. 4: 22. https://doi.org/10.3390/future3040022
APA StyleBorrego-Ruiz, A., & Borrego, J. J. (2025). Integrating Plant-Based Diets into Schools for a Healthier and More Sustainable Future: A Contemporary Overview. Future, 3(4), 22. https://doi.org/10.3390/future3040022

