摘要
目的 针对基于成分数据分析的研究,系统评价身体活动(physical activity, PA)、久坐行为(sedentary behavior, SB)和睡眠与肥胖的关联或等时替代效应,为儿童青少年肥胖干预提供参考。方法 在中国知网、万方数据库、PubMed、SPORTDiscus、Web of Science和Medline数据库检索发表于2014年1月1日至2022年5月1日的相关研究。2名有经验的评价员独立完成文献的筛选、数据提取以及质量评估。结果 共纳入文献16篇,文献质量得分范围为7~12分。中高强度身体活动(moderate to vigorous physical activity, MVPA)、睡眠与肥胖均呈负相关,且MVPA替代其他行为可降低肥胖风险,替代时间为1.5~60 min/d。低强度身体活动(light physical activity, LPA)、SB与肥胖均呈正相关(P值均<0.05)。结论MVPA是儿童青少年肥胖干预的主要着眼点,在现有身体活动水平的基础上,每周增加60 min的MVPA可能是降低肥胖风险的最小量。
Objective To systematically review the associations of physical activity(PA), sedentary behavior(SB) and sleep with obesity, as well as isotemporal substitution effects among behaviors, determined with compositional data analysis methods, to provide a reference for obesity interventions among children and adolescents.Methods Studies in the CNKI, Wanfang, PubMed, SPORTDiscus, Web of Science and Medline databases were searched from January 1, 2014 to May 1, 2022. Two experienced reviewers independently completed document screening, data extraction and quality assessment.Results Sixteen articles were included, with a methodological quality score range of 7-12 points. Moderate to vigorous physical activity(MVPA), sleep and obesity were negatively correlated, and substituting other behaviors with MVPA decreased obesity risk. The substitution time ranged from 1.5 min/day to 60 min/day. Light physical activity(LPA) and SB were positively correlated with obesity.Conclusion MVPA is the primary focus of obesity interventions in children and adolescents, and extra 60 min of MVPA per week on the existing level of physical activity may be the minimum necessary to decrease the risk of obesity.
作者
张婷
李红娟
张曌华
郜艳晖
ZHANG Ting;LI Hongjuan;ZHANG Zhaohua;GAO Yanhui(School of Sport Science/Key Laboratory of the Ministry of Education of Exer-cise and Physical Fitness,Beijing Sport University,Beijing(100084),China)
出处
《中国学校卫生》
CAS
北大核心
2023年第1期23-27,共5页
Chinese Journal of School Health
基金
国家社会科学基金教育学重点课题项目(ALA190015)。
关键词
运动活动
肥胖症
儿童
青少年
成分数据分析
Motor activity
Obesity
Child
Adolescent
Compositional data analysis
