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超重、肥胖与多种疾病风险:一项基于纵向研究的系统回顾和荟萃分析。

Overweight, obesity and risk of multimorbidity: A systematic review and meta-analysis of longitudinal studies.

机构信息

Postgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.

Superintendence of Health Care, Goiás State Health Department, Goiânia, Goiás, Brazil.

出版信息

Obes Rev. 2023 Jun;24(6):e13562. doi: 10.1111/obr.13562. Epub 2023 Mar 16.

DOI:10.1111/obr.13562
PMID:36929143
Abstract

This study aimed to review and quantify the association between overweight and obesity in the risk of multimorbidity among the general population. We conducted a systematic review and meta-analysis in the databases of Pubmed, Lilacs, Web of Science, Scopus, and Embase. We included cohort studies that assessed the association between overweight and/or obesity with the risk of multimorbidity. The Newcastle-Ottawa assessed the studies' individual quality. A random-effect model meta-analysis was performed to evaluate the association between overweight and obesity with the relative risk (RR) of multimorbidity; the I test evaluated heterogeneity. After excluding duplicates, we found 1.655 manuscripts, of which eight met the inclusion criteria. Of these, seven (87.5%) evidenced an increased risk of multimorbidity among subjects with overweight and/or obesity. Overall, we observed an increased risk of multimorbidity among subjects with overweight (RR: 1.26; CI95%: 1.12; 1.40, I  = 98%) and obesity (RR: 1.99; CI95%: 1.45;2.72, I  = 99%) compared to normal weight. According to the I test, the heterogeneities of the meta-analyses were high. The Newcastle-Ottawa scale showed that all studies were classified as high quality. Further longitudinal studies are needed, including different populations and stratifications by sex, age, and other variables.

摘要

本研究旨在综述和量化超重和肥胖与普通人群多种疾病风险之间的关联。我们在 Pubmed、Lilacs、Web of Science、Scopus 和 Embase 数据库中进行了系统综述和荟萃分析。我们纳入了评估超重和/或肥胖与多种疾病风险之间关联的队列研究。纽卡斯尔-渥太华量表评估了研究的个体质量。采用随机效应模型荟萃分析评估超重和肥胖与多种疾病相对风险(RR)之间的关联;I 检验评估异质性。排除重复后,我们发现了 1655 篇手稿,其中 8 篇符合纳入标准。其中,有 7 篇(87.5%)表明超重和/或肥胖患者多种疾病的风险增加。总体而言,与体重正常者相比,超重者(RR:1.26;95%CI:1.12;1.40,I  = 98%)和肥胖者(RR:1.99;95%CI:1.45;2.72,I  = 99%)多种疾病的风险增加。根据 I 检验,荟萃分析的异质性很高。纽卡斯尔-渥太华量表显示,所有研究均被评为高质量。需要进一步进行包括不同人群以及按性别、年龄和其他变量分层的纵向研究。

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