Higher Local Food Consumption Is Associated with Higher Adherence to the Mediterranean Diet and Better Healthy Aging: Results of the DIAPELH Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Bioethics
2.3. Measurements
2.4. Sample Size Calculation and Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| BMI | Body Mass Index |
| CVD | Cardiovascular Disease |
| GDS | Geriatric Depression Scale |
| MoCA | Montreal Cognitive Assessment |
| SAI | Successful Aging Index |
References
- James-Martin, G.; Baird, D.L.; Hendrie, G.A.; Bogard, J.; Anastasiou, K.; Brooker, P.G.; Wiggins, B.; Williams, G.; Herrero, M.; Lawrence, M.; et al. Environmental Sustainability in National Food-Based Dietary Guidelines: A Global Review. Lancet Planet. Health 2022, 6, e977–e986. [Google Scholar] [CrossRef]
- Reinhardt, S.L.; Boehm, R.; Blackstone, N.T.; El-Abbadi, N.H.; McNally Brandow, J.S.; Taylor, S.F.; DeLonge, M.S. Systematic Review of Dietary Patterns and Sustainability in the United States. Adv. Nutr. 2020, 11, 1016–1031. [Google Scholar] [CrossRef]
- Carey, C.N.; Paquette, M.; Sahye-Pudaruth, S.; Dadvar, A.; Dinh, D.; Khodabandehlou, K.; Liang, F.; Mishra, E.; Sidhu, M.; Brown, R.; et al. The Environmental Sustainability of Plant-Based Dietary Patterns: A Scoping Review. J. Nutr. 2023, 153, 857–869. [Google Scholar] [CrossRef]
- Bôto, J.M.; Rocha, A.; Miguéis, V.; Meireles, M.; Neto, B. Sustainability Dimensions of the Mediterranean Diet: A Systematic Review of the Indicators Used and Its Results. Adv. Nutr. 2022, 13, 2015–2038. [Google Scholar] [CrossRef]
- Lorca-Camara, V.; Bosque-Prous, M.; Bes-Rastrollo, M.; O’Callaghan-Gordo, C.; Bach-Faig, A. Environmental and Health Sustainability of the Mediterranean Diet: A Systematic Review. Adv. Nutr. 2024, 15, 100322. [Google Scholar] [CrossRef]
- Dominguez, L.J.; Di Bella, G.; Veronese, N.; Barbagallo, M. Impact of Mediterranean Diet on Chronic Non-Communicable Diseases and Longevity. Nutrients 2021, 13, 2028. [Google Scholar] [CrossRef]
- Willett, W.; Sacks, F.; Trichopoulou, A.; Drescher, G.; Ferro-Luzzi, A.; Helsing, E.; Trichopoulos, D. Mediterranean Diet Pyramid: A Cultural Model for Healthy Eating. Am. J. Clin. Nutr. 1995, 61, 1402S–1406S. [Google Scholar] [CrossRef] [PubMed]
- Enthoven, L.; Van Den Broeck, G. Local Food Systems: Reviewing Two Decades of Research. Agric. Syst. 2021, 193, 103226. [Google Scholar] [CrossRef]
- Aksakallı Bayraktar, Z.; Oral, S.; Bulut, S.H.; Bayraktar, Y. Effect of Perception of Sustainability in Local Food Experiences on Healthy Eating Tendency: Mediator and Moderator Effects. Front. Nutr. 2023, 10, 1150277. [Google Scholar] [CrossRef] [PubMed]
- Chukwurah, G.O.; Okeke, F.O.; Isimah, M.O.; Enoguanbhor, E.C.; Awe, F.C.; Nnaemeka-Okeke, R.C.; Guo, S.; Nwafor, I.V.; Okeke, C.A. Cultural Influence of Local Food Heritage on Sustainable Development. World 2025, 6, 10. [Google Scholar] [CrossRef]
- European Commission; Joint Research Centre; Institute for Prospective Technological Studies. Short Food Supply Chains and Local Food Systems in the EU: A State of Play of Their Socio Economic Characteristics; Publications Office: Luxembourg, 2013. [Google Scholar]
- Jung, D.-E.; Yang, S.-B.; Yang, S.-R. The Effects of Local Food on Carbon Emissions: The Case of the Republic of Korea. Sustainability 2024, 16, 3614. [Google Scholar] [CrossRef]
- Laoutari, S.; Christodoulou, E.; Koutelidakis, A.E. A Narrative Review of the Mediterranean Lifestyle and Its Role in Obesity Prevention and Management. Obesities 2025, 5, 43. [Google Scholar] [CrossRef]
- Managa, M.G.; Tinyani, P.P.; Senyolo, G.M.; Soundy, P.; Sultanbawa, Y.; Sivakumar, D. Impact of Transportation, Storage, and Retail Shelf Conditions on Lettuce Quality and Phytonutrients Losses in the Supply Chain. Food Sci. Nutr. 2018, 6, 1527–1536. [Google Scholar] [CrossRef]
- Ageing and Health. Available online: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health (accessed on 22 June 2025).
- An Aging World: 2020. Available online: https://mtgis-portal.geo.census.gov/arcgis/apps/storymaps/stories/aec814f6ea7c48cfaededf2b1b975626 (accessed on 8 September 2025).
- Healthy Ageing and Functional Ability. Available online: https://www.who.int/news-room/questions-and-answers/item/healthy-ageing-and-functional-ability (accessed on 2 July 2025).
- Rowe, J.W.; Kahn, R.L. Successful Aging. Gerontologist 1997, 37, 433–440. [Google Scholar] [CrossRef]
- Tessier, A.-J.; Wang, F.; Korat, A.A.; Eliassen, A.H.; Chavarro, J.; Grodstein, F.; Li, J.; Liang, L.; Willett, W.C.; Sun, Q.; et al. Optimal Dietary Patterns for Healthy Aging. Nat. Med. 2025, 31, 1644–1652. [Google Scholar] [CrossRef]
- World Health Organization Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation, Geneva, 8–11 December 2008. 2011. Available online: https://www.who.int/publications/i/item/9789241501491 (accessed on 20 August 2025).
- Bountziouka, V.; Bathrellou, E.; Giotopoulou, A.; Katsagoni, C.; Bonou, M.; Vallianou, N.; Barbetseas, J.; Avgerinos, P.C.; Panagiotakos, D.B. Development, Repeatability and Validity Regarding Energy and Macronutrient Intake of a Semi-Quantitative Food Frequency Questionnaire: Methodological Considerations. Nutr. Metab. Cardiovasc. Dis. 2012, 22, 659–667. [Google Scholar] [CrossRef]
- Panagiotakos, D.B.; Pitsavos, C.; Stefanadis, C. Dietary Patterns: A Mediterranean Diet Score and Its Relation to Clinical and Biological Markers of Cardiovascular Disease Risk. Nutr. Metab. Cardiovasc. Dis. 2006, 16, 559–568. [Google Scholar] [CrossRef]
- Fountoulakis, K.N.; Tsolaki, M.; Iacovides, A.; Yesavage, J.; O’Hara, R.; Kazis, A.; Ierodiakonou, C. The Validation of the Short Form of the Geriatric Depression Scale (GDS) in Greece. Aging Clin. Exp. Res. 1999, 11, 367–372. [Google Scholar] [CrossRef] [PubMed]
- Nasreddine, Z.S.; Phillips, N.A.; Bédirian, V.; Charbonneau, S.; Whitehead, V.; Collin, I.; Cummings, J.L.; Chertkow, H. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool for Mild Cognitive Impairment. J. Am. Geriatr. Soc. 2005, 53, 695–699. [Google Scholar] [CrossRef] [PubMed]
- Tyrovolas, S.; Haro, J.M.; Mariolis, A.; Piscopo, S.; Valacchi, G.; Tsakountakis, N.; Zeimbekis, A.; Tyrovola, D.; Bountziouka, V.; Gotsis, E.; et al. Successful Aging, Dietary Habits and Health Status of Elderly Individuals: A k-Dimensional Approach within the Multi-National MEDIS Study. Exp. Gerontol. 2014, 60, 57–63. [Google Scholar] [CrossRef]
- Lombardo, M.; Feraco, A.; Armani, A.; Camajani, E.; Gorini, S.; Strollo, R.; Padua, E.; Caprio, M.; Bellia, A. Gender Differences in Body Composition, Dietary Patterns, and Physical Activity: Insights from a Cross-Sectional Study. Front. Nutr. 2024, 11, 1414217. [Google Scholar] [CrossRef]
- Das, S.; Mishra, A.J. Dietary Practices and Gender Dynamics: Understanding the Role of Women. J. Ethn. Food 2021, 8, 4. [Google Scholar] [CrossRef]
- Bärebring, L.; Palmqvist, M.; Winkvist, A.; Augustin, H. Gender Differences in Perceived Food Healthiness and Food Avoidance in a Swedish Population-Based Survey: A Cross Sectional Study. Nutr. J. 2020, 19, 140. [Google Scholar] [CrossRef] [PubMed]
- Feraco, A.; Armani, A.; Amoah, I.; Guseva, E.; Camajani, E.; Gorini, S.; Strollo, R.; Padua, E.; Caprio, M.; Lombardo, M. Assessing Gender Differences in Food Preferences and Physical Activity: A Population-Based Survey. Front. Nutr. 2024, 11, 1348456. [Google Scholar] [CrossRef]
- Monterrosa, E.C.; Frongillo, E.A.; Drewnowski, A.; De Pee, S.; Vandevijvere, S. Sociocultural Influences on Food Choices and Implications for Sustainable Healthy Diets. Food Nutr. Bull. 2020, 41, 59S–73S. [Google Scholar] [CrossRef]
- Madeira, F.B.; Filgueira, D.A.; Bosi, M.L.M.; Nogueira, J.A.D. Estilos de Vida, Habitus e Promoção Da Saúde: Algumas Aproximações. Saude Soc. 2018, 27, 106–115. [Google Scholar] [CrossRef]
- Short, S.E.; Mollborn, S. Social Determinants and Health Behaviors: Conceptual Frames and Empirical Advances. Curr. Opin. Psychol. 2015, 5, 78–84. [Google Scholar] [CrossRef] [PubMed]
- Trichopoulou, A.; Naska, A.; Orfanos, P.; Trichopoulos, D. Mediterranean Diet in Relation to Body Mass Index and Waist-to-Hip Ratio: The Greek European Prospective Investigation into Cancer and Nutrition Study. Am. J. Clin. Nutr. 2005, 82, 935–940. [Google Scholar] [CrossRef] [PubMed]
- Foscolou, A.; Critselis, E.; Panagiotakos, D. Olive Oil Consumption and Human Health: A Narrative Review. Maturitas 2018, 118, 60–66. [Google Scholar] [CrossRef]
- Boghossian, N.S.; Yeung, E.H.; Mumford, S.L.; Zhang, C.; Gaskins, A.J.; Wactawski-Wende, J.; Schisterman, E.F. Adherence to the Mediterranean Diet and Body Fat Distribution in Reproductive Aged Women. Eur. J. Clin. Nutr. 2013, 67, 289–294. [Google Scholar] [CrossRef]
- Poursalehi, D.; Lotfi, K.; Saneei, P. Adherence to the Mediterranean Diet and Risk of Frailty and Pre-Frailty in Elderly Adults: A Systematic Review and Dose-Response Meta-Analysis with GRADE Assessment. Ageing Res. Rev. 2023, 87, 101903. [Google Scholar] [CrossRef]
- Liu, S.; Chen, X. MedDiet Adherence Score for the Association between Inflammatory Markers and Cognitive Performance in the Elderly: A Study of the NHANES 2011–2014. BMC Geriatr. 2022, 22, 511. [Google Scholar] [CrossRef]
- Foscolou, A.; Critselis, E.; Tyrovolas, S.; Chrysohoou, C.; Sidossis, L.S.; Naumovski, N.; Matalas, A.-L.; Rallidis, L.; Polychronopoulos, E.; Ayuso-Mateos, J.L.; et al. The Effect of Exclusive Olive Oil Consumption on Successful Aging: A Combined Analysis of the ATTICA and MEDIS Epidemiological Studies. Foods 2019, 8, 25. [Google Scholar] [CrossRef]
- Foscolou, A.; D’Cunha, N.M.; Naumovski, N.; Tyrovolas, S.; Chrysohoou, C.; Rallidis, L.; Matalas, A.-L.; Sidossis, L.S.; Panagiotakos, D. The Association between Whole Grain Products Consumption and Successful Aging: A Combined Analysis of MEDIS and ATTICA Epidemiological Studies. Nutrients 2019, 11, 1221. [Google Scholar] [CrossRef]
- Capurso, C.; Bellanti, F.; Lo Buglio, A.; Vendemiale, G. The Mediterranean Diet Slows Down the Progression of Aging and Helps to Prevent the Onset of Frailty: A Narrative Review. Nutrients 2019, 12, 35. [Google Scholar] [CrossRef] [PubMed]
- Franklin, N.C.; Tate, C.A. Lifestyle and Successful Aging: An Overview. Am. J. Lifestyle Med. 2009, 3, 6–11. [Google Scholar] [CrossRef]
- Ravelli, M.N.; Schoeller, D.A. Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed. Front. Nutr. 2020, 7, 90. [Google Scholar] [CrossRef]
- Foscolou, A.; Magriplis, E.; Tyrovolas, S.; Chrysohoou, C.; Sidossis, L.; Matalas, A.-L.; Rallidis, L.; Panagiotakos, D. The Association of Protein and Carbohydrate Intake with Successful Aging: A Combined Analysis of Two Epidemiological Studies. Eur. J. Nutr. 2019, 58, 807–817. [Google Scholar] [CrossRef] [PubMed]
- Brune, S.; Knollenberg, W.; Barbieri, C.; Stevenson, K. Towards a Unified Definition of Local Food. J. Rural. Stud. 2023, 103, 103135. [Google Scholar] [CrossRef]

| Characteristics | Overall (N = 449) | 1st Tertile High Consumption (n = 150) | 2nd Tertile Moderate Consumption (n = 152) | 3rd Tertile Low Consumption (n = 147) | p-Value |
|---|---|---|---|---|---|
| Age (yrs) | 71 (9.0) | 71 (7.0) | 72 (10) | 72 (9.0) | 0.498 |
| Females, n (%) | 266 (59) | 110 (73.8) *,† | 91 (59.7) * | 67 (45.3) | <0.001 |
| BMI (kg/m2) | 29.1 (7.1) | 30.1 (6.8) † | 29.5 (7.5) * | 28 (7.2) | 0.006 |
| Waist/Hip ratio | 0.93 (0.14) | 0.91 (0.11) † | 0.93 (0.12) * | 0.96 (0.17) | 0.006 |
| Smokers, n (%yes) | 94 (21) | 15 (10) *,† | 32 (20.8) * | 46 (31.2) | <0.001 |
| Financial status (%low/medium/good/very good) | 24.3/37.8/34.3/3.5 | 30.7/32.1/31.4/5.8 | 19.6/44.1/34.3/2.1 | 23.7/37.4/36/ 2.9 | 0.140 |
| Years of education | 12 (9.0) | 12 (9.0) | 12 (9.0) | 12 (8.0) | 0.310 |
| Walking time per week (min) | 150 (240) | 180 (360) *,† | 140 (240) | 150 (270) | <0.001 |
| GDS (0–15) | 3.0 (5.0) | 3.0 (4.0) | 3.0 (5.0) | 4.0 (4.0) | 0.074 |
| MOCA (0–30) | 23 (7.0) | 24 (7.0) | 23 (6.0) | 23 (6.5) | 0.600 |
| MedDietScore (0–55) | 34 (5.0) | 36 (5.0) *,† | 33 (6.0) * | 33 (5.0) | <0.001 |
| CVD risk factors (0–4) | 2.0 (2.0) | 2.0 (2.0) | 2.0 (2.0) | 2.0 (2.0) | 0.860 |
| SAI (0–10) | 4.5 (2.2) | 4.8 (2.4)*,† | 4.2 (2.2) | 4.4 (2.0) | 0.003 |
| Dependent Outcome | Models | b ± SE (for Local Food Consumption) | 95% CI | p-Value |
|---|---|---|---|---|
| [SAI (0–10)] | Model 1: High vs. Low local food consumption | 0.618 ± 0.181 | 0.261; 0.974 | <0.001 |
| Model 2: Model 1 + age, sex | 0.752 ± 0.188 | 0.382; 1.121 | <0.001 | |
| Model 3: Model 2 + smoking habits | 0.751 ± 0.195 | 0.367; 1.136 | <0.001 | |
| Model 4: Model 3 + MOCA | 0.817 ± 0.189 | 0.446; 1.189 | <0.001 | |
| Model 1: High vs. Moderate local food consumption | 0.505 ± 0.180 | 0.150; 0.859 | 0.005 | |
| Model 2: Model 1 + age, sex | 0.497 ± 0.180 | 0.144; 0.850 | 0.006 | |
| Model 3: Model 2 + smoking habits | 0.497 ± 0.183 | 0.137; 0.857 | 0.007 | |
| Model 4: Model 3 + MOCA | 0.493 ± 0.180 | 0.139; 0.847 | 0.007 | |
| Model 1: Moderate vs. Low local food consumption | 0.113 ± 0.164 | −0.209; 0.435 | 0.491 | |
| Model 2: Model 1 + age, sex | 0.183 ± 0.164 | −0.140; 0.506 | 0.266 | |
| Model 3: Model 2 + smoking habits | 0.196 ± 0.166 | −0.130; 0.522 | 0.238 | |
| Model 4: Model 3 + MOCA | 0.241 ± 0.160 | −0.074; 0.556 | 0.133 |
| Dependent Outcome | Models | b ± SE (for Local Food Consumption Group) | 95% CI | p-Value |
|---|---|---|---|---|
| MedDietScore (0–55) | Model 1: High vs. Low local food consumption | 3.300 ± 0.421 | 2.470; 4.129 | <0.001 |
| Model 2: Model 1 + age, sex | 2.904 ± 0.437 | 2.045; 3.764 | <0.001 | |
| Model 3: Model 2 + Walking time, BMI, smoking habits | 2.816 ± 0.465 | 1.899; 3.732 | <0.001 | |
| Model 4: Model 3 + financial status, education | 2.909 ± 0.460 | 2.003; 3.815 | <0.001 | |
| Model 5: Model 4 + MOCA, GDS | 2.731; 0.469 | 1.807; 3.655 | <0.001 | |
| Model 6: Model 5 + CVD risk factors | 2.773 ± 0.471 | 1.845; 3.702 | <0.001 | |
| Model 1: High vs. Moderate local food consumption | 2.274 ± 0.419 | 1.450; 3.099 | <0.001 | |
| Model 2: Model 1 + age, sex | 2.167 ± 0.423 | 1.333; 3.001 | <0.001 | |
| Model 3: Model 2 + walking time, BMI, smoking habits | 2.087 ± 0.433 | 1.235; 2.938 | <0.001 | |
| Model 4: Model 3 + financial status, education | 1.947 ± 0.439 | 1.081; 2.812 | <0.001 | |
| Model 5: Model 4 + MOCA, GDS | 1.943 ± 0.442 | 1.073; 2.813 | <0.001 | |
| Model 6: Model 5 + CVD risk factors | 1.941 ± 0.442 | 1.070; 2.812 | <0.001 | |
| Model 1: Moderate vs. Low local food consumption | 1.025 ± 0.440 | 0.159; 1.892 | 0.021 | |
| Model 2: Model 1 + age, sex | 0.849 ± 0.446 | −0.028; 1.726 | 0.058 | |
| Model 3: Model 2 + walking time, BMI, smoking habits | 0.599 ± 0.467 | −0.322; 1.520 | 0.201 | |
| Model 4: Model 3 + financial status, education | 0.842 ± 0.451 | −0.046; 1.729 | 0.063 | |
| Model 5: Model 4 + MOCA, GDS | 0.801 ± 0.464 | −0.112; 1.714 | 0.085 | |
| Model 6: Model 5 + CVD risk factors | 0.777 ± 0.466 | −0.141; 1.695 | 0.097 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 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/).
Share and Cite
Foscolou, A.; Nikolaou, G.; Pratti, T.; Kouskouti, A.; Kanellaki, V.; Machaira, E.; Bekari, I.; Chalari, E.; Gazouli, A.; Gioxari, A. Higher Local Food Consumption Is Associated with Higher Adherence to the Mediterranean Diet and Better Healthy Aging: Results of the DIAPELH Study. Nutrients 2025, 17, 2975. https://doi.org/10.3390/nu17182975
Foscolou A, Nikolaou G, Pratti T, Kouskouti A, Kanellaki V, Machaira E, Bekari I, Chalari E, Gazouli A, Gioxari A. Higher Local Food Consumption Is Associated with Higher Adherence to the Mediterranean Diet and Better Healthy Aging: Results of the DIAPELH Study. Nutrients. 2025; 17(18):2975. https://doi.org/10.3390/nu17182975
Chicago/Turabian StyleFoscolou, Alexandra, Giannoula Nikolaou, Trisevgeni Pratti, Antigone Kouskouti, Vasiliki Kanellaki, Eirini Machaira, Izabella Bekari, Evanthia Chalari, Aristea Gazouli, and Aristea Gioxari. 2025. "Higher Local Food Consumption Is Associated with Higher Adherence to the Mediterranean Diet and Better Healthy Aging: Results of the DIAPELH Study" Nutrients 17, no. 18: 2975. https://doi.org/10.3390/nu17182975
APA StyleFoscolou, A., Nikolaou, G., Pratti, T., Kouskouti, A., Kanellaki, V., Machaira, E., Bekari, I., Chalari, E., Gazouli, A., & Gioxari, A. (2025). Higher Local Food Consumption Is Associated with Higher Adherence to the Mediterranean Diet and Better Healthy Aging: Results of the DIAPELH Study. Nutrients, 17(18), 2975. https://doi.org/10.3390/nu17182975

