Epidemiology and determinants of obesity in China

医学 肥胖 环境卫生 中国 梅德林 流行病学 老年学 内科学 法学 政治学
作者
Xiong‐Fei Pan,Limin Wang,An Pan
出处
期刊:The Lancet Diabetes & Endocrinology [Elsevier BV]
卷期号:9 (6): 373-392 被引量:1587
标识
DOI:10.1016/s2213-8587(21)00045-0
摘要

Summary

Obesity has become a major public health issue in China. Overweight and obesity have increased rapidly in the past four decades, and the latest national prevalence estimates for 2015–19, based on Chinese criteria, were 6·8% for overweight and 3·6% for obesity in children younger than 6 years, 11·1% for overweight and 7·9% for obesity in children and adolescents aged 6–17 years, and 34·3% for overweight and 16·4% for obesity in adults (≥18 years). Prevalence differed by sex, age group, and geographical location, but was substantial in all subpopulations. Strong evidence from prospective cohort studies has linked overweight and obesity to increased risks of major non-communicable diseases and premature mortality in Chinese populations. The growing burden of overweight and obesity could be driven by economic developments, sociocultural norms, and policies that have shaped individual-level risk factors for obesity through urbanisation, urban planning and built environments, and food systems and environments. Substantial changes in dietary patterns have occurred in China, with increased consumption of animal-source foods, refined grains, and highly processed, high-sugar, and high-fat foods, while physical activity levels in all major domains have decreased with increasing sedentary behaviours. The effects of dietary factors and physical inactivity intersect with other individual-level risk factors such as genetic susceptibility, psychosocial factors, obesogens, and in-utero and early-life exposures. In view of the scarcity of research around the individual and collective roles of these upstream and downstream factors, multidisciplinary and transdisciplinary studies are urgently needed to identify systemic approaches that target both the population-level determinants and individual-level risk factors for obesity in China.

Translation

For the Chinese translation of the abstract see Supplementary Materials section.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
牛曙东完成签到,获得积分10
刚刚
清脆乐巧发布了新的文献求助10
1秒前
2秒前
2秒前
2秒前
3秒前
hihi完成签到,获得积分10
3秒前
4秒前
哇owao发布了新的文献求助10
4秒前
4秒前
小二郎应助无一采纳,获得10
6秒前
壮观梦之完成签到,获得积分10
6秒前
科研通AI6.4应助www采纳,获得10
6秒前
7秒前
7秒前
脑洞疼应助Yukii采纳,获得10
7秒前
7秒前
化学小白完成签到,获得积分10
7秒前
8秒前
LmyHusband发布了新的文献求助10
8秒前
三人水完成签到,获得积分20
8秒前
Moihan发布了新的文献求助10
8秒前
soufle完成签到,获得积分10
9秒前
尊敬凝荷发布了新的文献求助10
9秒前
激动的访文完成签到,获得积分0
9秒前
lc完成签到 ,获得积分10
10秒前
葉子完成签到 ,获得积分10
10秒前
10秒前
刘欢发布了新的文献求助10
10秒前
10秒前
脑洞疼应助健壮听筠采纳,获得10
10秒前
有何可不发布了新的文献求助10
10秒前
JamesPei应助小巧的师采纳,获得10
10秒前
科研通AI6.4应助JJ采纳,获得10
11秒前
小蘑菇应助飘逸鸡采纳,获得10
11秒前
冷静的奇迹完成签到,获得积分10
11秒前
气泡水发布了新的文献求助10
11秒前
文艺代灵完成签到,获得积分10
12秒前
SciGPT应助小泡芙采纳,获得10
12秒前
123123完成签到 ,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Social Psychology in the Real World 800
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7410669
求助须知:如何正确求助?哪些是违规求助? 9014716
关于积分的说明 19200020
捐赠科研通 7042577
什么是DOI,文献DOI怎么找? 3233176
关于科研通互助平台的介绍 2395481
邀请新用户注册赠送积分活动 2215239