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Martínez-Gómez J, Bodega P, Santos-Beneit G, de Cos-Gandoy A, Beneito-Durá M, de Miguel M, Tresserra-Rimbau A, Ruiz-León AM, Estruch R, Lamuela-Raventós RM, Moreno LA, Fernández-Alvira JM, Fernández-Jiménez R. Trajectories of adherence to an obesogenic dietary pattern and changes in diet quality, food intake, and adiposity during adolescence. Nutr J 2025; 24:35. [PMID: 40055723 PMCID: PMC11887375 DOI: 10.1186/s12937-025-01102-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 02/21/2025] [Indexed: 05/13/2025] Open
Abstract
BACKGROUND AND AIMS Contemporary longitudinal data on dietary patterns (DP) during adolescence are scarce. This study aimed to identify trajectories of adherence to an obesogenic DP and changes in diet quality (DQ), related food consumption, and adiposity markers during adolescence. METHODS A cohort of 600 adolescents (293 girls, 48.8%) attending 24 secondary schools enrolled on the SI! Program for Secondary Schools trial in Spain was assessed when participants were approximately 12, 14, and 16 years old. An energy-dense, high-fat, and low-fiber (obesogenic) DP was derived at each time point by reduced rank regression (RRR) using the percentage energy intake from fat, fiber density, and dietary energy density as intermediate variables. Based on each participant's resulting scores, trajectories of adherence to the obesogenic DP were identified by latent class trajectory modeling. Adjusted associations between trajectories, DQ and food consumption changes, and adiposity markers during adolescence were analyzed with generalized linear models. RESULTS Based on adherence to the obesogenic DP during adolescence, four stable trajectory groups (from lowest to highest adherence) were identified: trajectory 1 (44 participants [7.3%]), trajectory 2 (180 participants [30.0%]), trajectory 3 (292 participants [48.7%]), and trajectory 4 (84 participants [14.0%]). Overall DQ was moderate, but showed a gradient across trajectories, with trajectory 1 having the best quality. Although the identified trajectories were stable, individuals in the group with the lowest adherence to the obesogenic DP (trajectory 1) significantly improved their overall DQ over time, whereas those with the highest adherence (trajectory 4) showed the opposite trend. The group of adolescents in trajectory 4 had the least healthy central adiposity profile when ∼16 years old. CONCLUSION Four stable trajectories of adherence to an obesogenic DP were identified in a large cohort of adolescents, with DQ decreasing as adherence to the DP increased. Although adherence to the DP was stable, differences in food intake between trajectories widened over time, resulting in increased central adiposity in participants with the highest adherence to the pattern at the end of the study. Further research is needed to explore the determinants of adherence to obesogenic DPs in adolescence and to evaluate their effects on adiposity and overall health later in life. TRIAL REGISTRATION ClinicalTrials.gov NCT03504059.
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Affiliation(s)
- Jesús Martínez-Gómez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
| | - Patricia Bodega
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
- Foundation for Science, Health, and Education (SHE), 08008, Barcelona, Spain
| | - Gloria Santos-Beneit
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
- Foundation for Science, Health, and Education (SHE), 08008, Barcelona, Spain
| | - Amaya de Cos-Gandoy
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
- Foundation for Science, Health, and Education (SHE), 08008, Barcelona, Spain
| | - María Beneito-Durá
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
| | - Mercedes de Miguel
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain
- Foundation for Science, Health, and Education (SHE), 08008, Barcelona, Spain
| | - Anna Tresserra-Rimbau
- Fisiopatología de La Obesidad y Nutrición (CIBERObn), Consorcio CIBER, Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, 08028, Barcelona, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain
| | - Ana María Ruiz-León
- Fisiopatología de La Obesidad y Nutrición (CIBERObn), Consorcio CIBER, Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain
| | - Ramón Estruch
- Fisiopatología de La Obesidad y Nutrición (CIBERObn), Consorcio CIBER, Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain
| | - Rosa María Lamuela-Raventós
- Fisiopatología de La Obesidad y Nutrición (CIBERObn), Consorcio CIBER, Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, 08028, Barcelona, Spain
- University of Barcelona, 08921, Santa Coloma de Gramenet, Spain
| | - Luis A Moreno
- Fisiopatología de La Obesidad y Nutrición (CIBERObn), Consorcio CIBER, Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- GENUD (Growth, Exercise, Nutrition, and Development) Research Group, Faculty of Health Sciences, Instituto Investigación Sanitaria de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón (IA2), University of Zaragoza, 50009, Zaragoza, Spain
| | | | - Rodrigo Fernández-Jiménez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain.
- Department of Cardiology, Hospital Universitario Clínico San Carlos - IdISSC, 28040, Madrid, Spain.
- Centro de Investigación Biomédica En Red en Enfermedades CardioVasculares (CIBERCV), 28029, Madrid, Spain.
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Eldridge AL, Kotzakioulafi E, Debras C, Tsai LT, Meijer GW, Salesse F, Gibney ER. Method to define recommended portion sizes for consumer guidance. Eur J Nutr 2025; 64:62. [PMID: 39751946 PMCID: PMC11698800 DOI: 10.1007/s00394-024-03573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 12/17/2024] [Indexed: 01/04/2025]
Abstract
PURPOSE Provision of nutrition information is mandated for packaged foods, but few countries regulate serving sizes. Our objective was to develop a methodology to establish globally consistent portion size recommendations for both nutrient-dense and discretionary foods. METHODS A stepwise systematic approach incorporated portion values from serving size regulations (n = 10), food-based dietary guidelines (FBDG; n = 90, aggregated into 6 regions), and reported food intakes from Europe and Australia. Global Portion Values (GPVs) for 50 food groups were derived as the median of all data inputs. Consistency was evaluated using 25th and 75th percentiles and dispersion of input values (percent of median absolute deviations (MAD)/median). RESULTS GPVs were calculated for 50 food groups organized into nine food categories: Milk/Dairy (n = 6 food groups), Protein Foods (n = 5), Mixed Dishes (n = 4), Grains (n = 7), Fruits/Vegetables (n = 5), Snacks/Sweets (n = 12), Sauces/Condiments (n = 5), Fats/Oils/Sugars (n = 4) and Beverages (n = 2). Data inputs for each portion value ranged from 6 to 18; only 4 foods had < 10 inputs; 21 had ≥ 15. Dispersion ranged from 0 to 33%; 88% of GPVs were considered "consistent" (dispersion < 25%) and 9 groups had 0% variation, indicating high consistency. Example GPVs include: 240mL for milk (16 inputs, 8% dispersion); 90 g for meat/poultry/fish main dishes (16 inputs, 13% dispersion); 50 g for bread/rolls (18 inputs, 20% dispersion); 130 g for canned vegetables (10 inputs, 2% dispersion); 30 g for chocolate (15 inputs, 17% dispersion); and 250mL for soft drinks (17 inputs, 20% dispersion). CONCLUSIONS This standardized approach provides clear and consistent portion recommendations that, if adopted, could help consumers make informed choices about appropriate portions.
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Affiliation(s)
- Alison L Eldridge
- Nestlé Institute of Health Sciences, Nestlé Research, Vers-chez-les-Blanc, Lausanne, Switzerland.
- Nestlé Research, Vers-chez-les-Blanc, Route du Jorat 57, Lausanne-26, 1000, Switzerland.
| | - Evangelia Kotzakioulafi
- Nestlé Institute of Health Sciences, Nestlé Research, Vers-chez-les-Blanc, Lausanne, Switzerland
| | - Charlotte Debras
- Nestlé Institute of Health Sciences, Nestlé Research, Vers-chez-les-Blanc, Lausanne, Switzerland
| | - Li-Tang Tsai
- Nestlé Institute of Health Sciences, Nestlé Research, Vers-chez-les-Blanc, Lausanne, Switzerland
| | - Gert W Meijer
- Research and Development, Société des Produits Nestlé S.A., Vevey, Switzerland
- School of Biomedical Sciences, Ulster University, Coleraine, UK
| | - Fanny Salesse
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Eileen R Gibney
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
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Busey EA, Chamberlin G, Mardin K, Perry M, Taillie LS, Dillman Carpentier FR, Popkin BM. National Policies to Limit Nutrients, Ingredients, or Categories of Concern in School Meals: A Global Scoping Review. Curr Dev Nutr 2024; 8:104456. [PMID: 39429507 PMCID: PMC11490762 DOI: 10.1016/j.cdnut.2024.104456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 08/30/2024] [Accepted: 09/03/2024] [Indexed: 10/22/2024] Open
Abstract
The school food environment is a key intervention point for influencing children's and adolescents' diets. As more countries establish school meal programs to provide critical nourishment to students, establishing standards for the foods served can increase the consumption of key nutrients and limit the consumption of foods that do not build health. This global scoping review explores the prevalence and basic characteristics of national policies that regulate food served through school meals across 193 countries, particularly by restricting the provision of categories, nutrients, or ingredients of nutritional concern. We gathered evidence from policy databases, grey literature, peer-reviewed literature, and primary policy documents. We included nationally mandated policies that included restrictions on categories, nutrients, or ingredients of concern served in school meals. Policies that were sub-national, voluntary, and/or did not include restrictive language were excluded from this review. Data was collected in research electronic data capture then extracted into Microsoft Excel and analyzed for policy frequency, prevalence by world region or country income group, and prevalence of certain policy characteristics. Globally, only 15% of countries were found to have a national-level policy restricting foods served through school meals in some capacity, including either nutritional or categorical restrictions. The majority of these policies were found in high-income countries, and no low-income countries had a policy meeting inclusion criteria. Policies in Latin-American and Caribbean countries limited the content of more nutrients of concern than in other regions. Although many policies included explicit guidelines to monitor implementation, few outlined mechanisms for policy enforcement. Future research should evaluate the impact of various school meal regulatory approaches, including implementation of similar policies at sub-national levels, and other elements that affect the impact of school meal programs, such as procurement, infrastructure, costs to school and to students and their families, and acceptability and consumption of foods provided.
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Affiliation(s)
- Emily A Busey
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Grace Chamberlin
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Kayla Mardin
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Michelle Perry
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lindsey Smith Taillie
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Francesca R Dillman Carpentier
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Hussman School of Journalism and Media, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Barry M Popkin
- Global Food Research Program, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Delaney T, Jackson J, Lecathelinais C, Clinton-McHarg T, Lamont H, Yoong SL, Wolfenden L, Sutherland R, Wyse R. Long-Term Effectiveness of a Multi-Strategy Choice Architecture Intervention in Increasing Healthy Food Choices of High-School Students From Online Canteens (Click & Crunch High Schools): Cluster Randomized Controlled Trial. J Med Internet Res 2024; 26:e51108. [PMID: 38502177 PMCID: PMC10988364 DOI: 10.2196/51108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/01/2023] [Accepted: 01/30/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND School canteens are a recommended setting to influence adolescent nutrition due to their scope to improve student food choices. Online lunch ordering systems ("online canteens") are increasingly used and represent attractive infrastructure to implement choice architecture interventions that nudge users toward healthier food choices. A recent cluster randomized controlled trial demonstrated the short-term effectiveness (2-month follow-up) of a choice architecture intervention to increase the healthiness of foods purchased by high school students from online canteens. However, there is little evidence regarding the long-term effectiveness of choice architecture interventions targeting adolescent food purchases, particularly those delivered online. OBJECTIVE This study aimed to determine the long-term effectiveness of a multi-strategy choice architecture intervention embedded within online canteen infrastructure in high schools at a 15-month follow-up. METHODS A cluster randomized controlled trial was undertaken with 1331 students (from 9 high schools) in New South Wales, Australia. Schools were randomized to receive the automated choice architecture intervention (including menu labeling, positioning, feedback, and prompting strategies) or the control (standard online ordering). The foods purchased were classified according to the New South Wales Healthy Canteen strategy as either "everyday," "occasional," or "should not be sold." Primary outcomes were the average proportion of "everyday," "occasional," and "should not be sold" items purchased per student. Secondary outcomes were the mean energy, saturated fat, sugar, and sodium content of purchases. Outcomes were assessed using routine data collected by the online canteen. RESULTS From baseline to 15-month follow-up, on average, students in the intervention group ordered significantly more "everyday" items (+11.5%, 95% CI 7.3% to 15.6%; P<.001), and significantly fewer "occasional" (-5.4%, 95% CI -9.4% to -1.5%; P=.007) and "should not be sold" items (-6%, 95% CI -9.1% to -2.9%; P<.001), relative to controls. There were no between-group differences over time in the mean energy, saturated fat, sugar, or sodium content of lunch orders. CONCLUSIONS Given their longer-term effectiveness, choice architecture interventions delivered via online canteens may represent a promising option for policy makers to support healthy eating among high school students. TRIAL REGISTRATION Australian Clinical Trials ACTRN12620001338954, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380546 ; Open Science Framework osf.io/h8zfr, https://osf.io/h8zfr/.
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Affiliation(s)
- Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Jacklyn Jackson
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Christophe Lecathelinais
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Tara Clinton-McHarg
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Hannah Lamont
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Sze Lin Yoong
- Faculty of Health, School of Health and Social Development, Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Melbourne, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
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Rozga M, Handu D. Nutrition Interventions for Pediatric Obesity Prevention: An Umbrella Review of Systematic Reviews. Nutrients 2023; 15:5097. [PMID: 38140356 PMCID: PMC10745722 DOI: 10.3390/nu15245097] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/01/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Nutrition interventions to prevent pediatric obesity can help to establish healthy habits to improve current and future health. The objective of this umbrella review of systematic reviews (SRs) is to examine the impact of obesity prevention interventions with a nutrition component on body mass index measures, overweight/obesity prevalence, and cost-effectiveness in participants 2-17 years old. Grading of Recommendations Assessment, Development and Evaluation (GRADE) methods were used, and this umbrella review was registered on PROSPERO (CRD42023443033). Included SRs were required to search ≥2 databases and to assess the risk of bias (RoB) of primary studies, and they were published 2017-June 2023. Database searches identified 4776 articles, and 31 SRs were included. In all age groups combined, interventions with both nutrition and physical activity were effective and cost-effective in all settings combined, and in the community setting specifically. In children ≤5 years old, interventions in the home and family, community, and healthcare settings demonstrated some efficacy, whereas in children 6-12 years old, school interventions were most effective. Evidence with individuals 13-17 years was limited. The certainty of evidence was generally low due to RoB in included studies, inconsistency, and imprecision. Pediatric obesity prevention interventions with nutrition should be tailored to the developmental stage to ensure appropriateness and efficacy.
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Affiliation(s)
- Mary Rozga
- Academy of Nutrition and Dietetics, 120 S. Riverside Plaza, Suite 2190, Chicago, IL 60606-6995, USA;
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