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      Mediterranean Diet-Based Interventions to Improve Anthropometric and Obesity Indicators in Children and Adolescents: A Systematic Review with Meta-Analysis of Randomized Controlled Trials

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          Abstract

          To our knowledge, no systematic review with meta-analysis has separately synthesized the effects of Mediterranean diet-based interventions in children and adolescents in relation to the effects on anthropometric measures. A better understanding of the effects of Mediterranean diet-based interventions on anthropometric variables could facilitate their implementation in efforts to prevent obesity in the young population. The aim of the present meta-analysis was to evaluate the effects of Mediterranean diet-based interventions on anthropometric and obesity indicators among children and adolescents. Four databases were systematically searched (PubMed, Scopus, Web of Science, and Cochrane Database of Systematic Reviews), including all studies up until 15 March, 2023. Eligible articles were randomized controlled trials measuring the effect of an intervention based on the promotion of the Mediterranean diet and obesity-associated parameters. The effect size of each study was estimated by Cohen’s d for continuous variables or risk difference for categorical variables. Compared to the control group, the Mediterranean diet-based interventions showed small and significant reductions in body mass index ( d = −0.14; 95% CI: −0.26, −0.01; I 2 = 77.52%). Participants in the Mediterranean diet-based interventions had a significant reduction in the percentage of obesity ( risk difference = 0.12; 95% CI: 0.01, 0.23; I 2 = 84.56%) in comparison with the control group. Interventions had greater effects when aiming at participants with excess weight (that is, overweight or obesity), both for body mass index, waist circumference, waist-to-height ratio, percentage of obesity, and percentage of abdominal obesity. Mediterranean diet-based interventions have a significant effect on reducing the body mass index as well as reducing obesity in children and adolescents (aged 3–18 y). This trial was registered at PROSPERO as CRD42023386789.

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          Most cited references53

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            RoB 2: a revised tool for assessing risk of bias in randomised trials

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              Quantifying heterogeneity in a meta-analysis.

              The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                Journal
                Adv Nutr
                Adv Nutr
                Advances in Nutrition
                American Society for Nutrition
                2161-8313
                2156-5376
                29 April 2023
                July 2023
                29 April 2023
                : 14
                : 4
                : 858-869
                Affiliations
                [1 ]Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra, Spain
                [2 ]Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
                [3 ]One Health Research Group, Universidad de Las Américas, Quito, Ecuador
                [4 ]Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Madrid, Spain
                [5 ]CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
                [6 ]IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
                [7 ]Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
                [8 ]Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
                Author notes
                []Corresponding author. josefranciscolopezgil@ 123456gmail.com
                Article
                S2161-8313(23)00296-X
                10.1016/j.advnut.2023.04.011
                10334150
                37127186
                cf72aa6c-e890-4919-8fc9-e79deb2420da
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 23 December 2022
                : 24 April 2023
                : 27 April 2023
                Categories
                Review

                obesity,overweight,lifestyle,eating healthy,youths,young population,preschoolers

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