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Meta-Analysis
. 2019 Mar 1;10(2):205-218.
doi: 10.1093/advances/nmy092.

Food Groups and Risk of Overweight, Obesity, and Weight Gain: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies

Sabrina Schlesinger  1 , Manuela Neuenschwander  1 , Carolina Schwedhelm  2   3 , Georg Hoffmann  4 , Angela Bechthold  5 , Heiner Boeing  2   3 , Lukas Schwingshackl  2   3
Affiliations
Meta-Analysis

Food Groups and Risk of Overweight, Obesity, and Weight Gain: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies

Sabrina Schlesinger et al. Adv Nutr. .

Abstract

This meta-analysis summarizes the evidence of a prospective association between the intake of foods [whole grains, refined grains, vegetables, fruit, nuts, legumes, eggs, dairy, fish, red meat, processed meat, and sugar-sweetened beverages (SSBs)] and risk of general overweight/obesity, abdominal obesity, and weight gain. PubMed and Web of Science were searched for prospective observational studies until August 2018. Summary RRs and 95% CIs were estimated from 43 reports for the highest compared with the lowest intake categories, as well as for linear and nonlinear relations focusing on each outcome separately: overweight/obesity, abdominal obesity, and weight gain. The quality of evidence was evaluated with use of the NutriGrade tool. In the dose-response meta-analysis, inverse associations were found for whole-grain (RRoverweight/obesity: 0.93; 95% CI: 0.89, 0.96), fruit (RRoverweight/obesity: 0.93; 95% CI: 0.86, 1.00; RRweight gain: 0.91; 95% CI: 0.86, 0.97), nut (RRabdominal obesity: 0.42; 95% CI: 0.31, 0.57), legume (RRoverweight/obesity: 0.88; 95% CI: 0.84, 0.93), and fish (RRabdominal obesity: 0.83; 95% CI: 0.71, 0.97) consumption and positive associations were found for refined grains (RRoverweight/obesity: 1.05; 95% CI: 1.00, 1.10), red meat (RRabdominal obesity: 1.10; 95% CI: 1.04, 1.16; RRweight gain: 1.14; 95% CI: 1.03, 1.26), and SSBs (RRoverweight/obesity: 1.05; 95% CI: 1.00, 1.11; RRabdominal obesity: 1.12; 95% CI: 1.04, 1.20). The dose-response meta-analytical findings provided very low to low quality of evidence that certain food groups have an impact on different measurements of adiposity risk. To improve the quality of evidence, better-designed observational studies, inclusion of intervention trials, and use of novel statistical methods (e.g., substitution analyses or network meta-analyses) are needed.

Keywords: adiposity; diet; dose-response; food groups; meta-analysis; weight gain.

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Figures

FIGURE 1
FIGURE 1
Flow diagram illustrating the identification and selection of studies.
FIGURE 2
FIGURE 2
Nonlinear dose-response relation between daily intakes of whole grains (A) (P-nonlinearity = 0.16; n = 3 studies), refined grains (B) (P-nonlinearity < 0.001; n = 3 studies), vegetables (C) (P-nonlinearity = 0.08; n = 2 studies), fruit (D) (P-nonlinearity = 0.17; n = 2 studies), nuts (E) (P-nonlinearity < 0.001; n = 3 studies), dairy (F) (P-nonlinearity = 0.11; n = 3 studies), and SSBs (G) (P-nonlinearity = 0.82; n = 3 studies) and the relative risk (RRs and 95% CIs) of overweight/obesity. SSB, sugar-sweetened beverage.
FIGURE 3
FIGURE 3
Nonlinear dose-response relation between daily intakes of whole grains (A) (P-nonlinearity = 0.10; n = 3 studies), refined grains (B) (P-nonlinearity = 0.11; n = 3 studies), vegetables (C) (P-nonlinearity = 0.98; n = 3 studies), and fruit (D) (P-nonlinearity = 0.14; n = 2 studies) and the relative risk (RRs and 95% CIs) of weight gain.
FIGURE 4
FIGURE 4
Nonlinear dose-response relation between daily intakes of dairy (A) (P-nonlinearity = 0.95; n = 3 studies), fish (B) (P-nonlinearity = 0.07; n = 2 studies), red meat (C) (P-nonlinearity = 0.57; n = 2 studies), and SSBs (D) (P-nonlinearity = 0.03; n = 4 studies) and the relative risk (RRs and 95% CIs) of abdominal obesity. SSB, sugar-sweetened beverage.
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