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儿童不健康食品和饮料消费与超重和肥胖风险:系统评价和荟萃分析。

Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis.

机构信息

Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.

School of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.

出版信息

Adv Nutr. 2022 Oct 2;13(5):1669-1696. doi: 10.1093/advances/nmac032.

DOI:10.1093/advances/nmac032
PMID:35362512
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9526862/
Abstract

This WHO-commissioned review contributed to the update of complementary feeding recommendations, synthesizing evidence on effects of unhealthy food and beverage consumption in children on overweight and obesity. We searched PubMed (Medline), Cochrane CENTRAL, and Embase for articles, irrespective of language or geography. Inclusion criteria were: 1) randomized controlled trials (RCTs), non-RCTs, cohort studies, and pre/post studies with control; 2) participants aged ≤10.9 y at exposure; 3) studies reporting greater consumption of unhealthy foods/beverages compared with no or low consumption; 4) studies assessing anthropometric and/or body composition; and 5) publication date ≥1971. Unhealthy foods and beverages were defined using nutrient- and food-based approaches. Risk of bias was assessed using the ROBINS-I (risk of bias in nonrandomized studies of interventions version I) and RoB2 [Cochrane RoB (version 2)] tools for nonrandomized and randomized studies, respectively. Narrative synthesis was complemented by meta-analyses where appropriate. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. Of 26,542 identified citations, 60 studies from 71 articles were included. Most studies were observational (59/60), and no included studies were from low-income countries. The evidence base was low quality, as assessed by ROBINS-I and RoB2 tools. Evidence synthesis was limited by the different interventions and comparators across studies. Evidence indicated that consumption of sugar-sweetened beverages (SSBs) and unhealthy foods in childhood may increase BMI/BMI z-score, percentage body fat, or odds of overweight/obesity (low certainty of evidence). Artificially sweetened beverages and 100% fruit juice consumption make little/no difference to BMI, percentage body fat, or overweight/obesity outcomes (low certainty of evidence). Meta-analyses of a subset of studies indicated a positive association between SSB intake and percentage body fat, but no association with change in BMI and BMI z-score. High-quality epidemiological studies that are designed to assess the effects of unhealthy food consumption during childhood on risk of overweight/obesity are needed to contribute to a more robust evidence base upon which to design policy recommendations. This protocol was registered at https://www.crd.york.ac.uk/PROSPERO as CRD42020218109.

摘要

本项世卫组织委托开展的综述工作有助于更新补充喂养建议,综合了有关儿童食用不健康食品和饮料对超重和肥胖影响的证据。我们检索了 PubMed(医学文献在线数据库)、Cochrane 中心对照试验数据库和 Embase,纳入了所有语言和地区发表的研究。纳入标准为:1)随机对照试验(RCT)、非随机对照试验、队列研究和对照前后研究;2)暴露时年龄≤10.9 岁的参与者;3)报告与低或不摄入相比,摄入更多不健康食品/饮料的研究;4)评估人体测量和/或身体成分的研究;5)发表日期≥1971 年。不健康食品和饮料使用基于营养素和基于食物的方法进行定义。使用 ROBINS-I(非随机干预研究的偏倚风险(version I))和 RoB2(Cochrane RoB(version 2))工具分别评估非随机和随机研究的偏倚风险。适当情况下采用荟萃分析补充叙述性综合。使用 Grading of Recommendations Assessment, Development, and Evaluation 工具评估证据确定性。在 26542 篇鉴定文献中,有 60 项研究来自 71 篇文章。大多数研究为观察性研究(59/60),纳入研究中没有来自低收入国家的研究。根据 ROBINS-I 和 RoB2 工具,证据基础质量低。证据综合受到研究间不同干预措施和对照的限制。证据表明,儿童时期摄入含糖饮料(SSBs)和不健康食品可能会增加 BMI/BMI 标准差、体脂肪百分比或超重/肥胖的几率(证据确定性低)。人工甜味饮料和 100%果汁的摄入对 BMI、体脂肪百分比或超重/肥胖结果没有影响(证据确定性低)。对一组研究的荟萃分析表明,SSB 摄入量与体脂肪百分比之间存在正相关,但与 BMI 和 BMI 标准差的变化无关。需要开展高质量的流行病学研究,评估儿童时期不健康食物摄入对超重/肥胖风险的影响,为制定政策建议提供更有力的证据基础。本方案在 https://www.crd.york.ac.uk/PROSPERO 注册,注册号为 CRD42020218109。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/4e44864ee417/nmac032fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/f3f35094862e/nmac032fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/93cedb642768/nmac032fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/9014c65fb16f/nmac032fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/b2387bca835d/nmac032fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/4e44864ee417/nmac032fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/f3f35094862e/nmac032fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/93cedb642768/nmac032fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/9014c65fb16f/nmac032fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/b2387bca835d/nmac032fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/9526862/4e44864ee417/nmac032fig5.jpg

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