已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Body-mass index and diabetes risk in 57 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 685 616 adults

医学 体质指数 糖尿病 人口学 横断面研究 索引(排版) 截面数据 环境卫生 中低收入国家 发展中国家 内科学 内分泌学 计量经济学 病理 万维网 经济 社会学 计算机科学 经济增长
作者
Felix Teufel,Jacqueline A. Seiglie,Pascal Geldsetzer,Michaela Theilmann,Maja E. Marcus,Cara Ebert,William Andres Lopez Arboleda,Kokou Agoudavi,Glennis Andall‐Brereton,Krishna Kumar Aryal,Brice Bicaba,Garry Brian,Pascal Bovet,Maria Dorobanţu,Mongal Singh Gurung,David Guwatudde,Corine Houéhanou,Dismand Houinato,Jutta M Adelin Jorgensen,Gibson Kagaruki
出处
期刊:The Lancet [Elsevier]
卷期号:398 (10296): 238-248 被引量:129
标识
DOI:10.1016/s0140-6736(21)00844-8
摘要

The prevalence of overweight, obesity, and diabetes is rising rapidly in low-income and middle-income countries (LMICs), but there are scant empirical data on the association between body-mass index (BMI) and diabetes in these settings.In this cross-sectional study, we pooled individual-level data from nationally representative surveys across 57 LMICs. We identified all countries in which a WHO Stepwise Approach to Surveillance (STEPS) survey had been done during a year in which the country fell into an eligible World Bank income group category. For LMICs that did not have a STEPS survey, did not have valid contact information, or declined our request for data, we did a systematic search for survey datasets. Eligible surveys were done during or after 2008; had individual-level data; were done in a low-income, lower-middle-income, or upper-middle-income country; were nationally representative; had a response rate of 50% or higher; contained a diabetes biomarker (either a blood glucose measurement or glycated haemoglobin [HbA1c]); and contained data on height and weight. Diabetes was defined biologically as a fasting plasma glucose concentration of 7·0 mmol/L (126·0 mg/dL) or higher; a random plasma glucose concentration of 11·1 mmol/L (200·0 mg/dL) or higher; or a HbA1c of 6·5% (48·0 mmol/mol) or higher, or by self-reported use of diabetes medication. We included individuals aged 25 years or older with complete data on diabetes status, BMI (defined as normal [18·5-22·9 kg/m2], upper-normal [23·0-24·9 kg/m2], overweight [25·0-29·9 kg/m2], or obese [≥30·0 kg/m2]), sex, and age. Countries were categorised into six geographical regions: Latin America and the Caribbean, Europe and central Asia, east, south, and southeast Asia, sub-Saharan Africa, Middle East and north Africa, and Oceania. We estimated the association between BMI and diabetes risk by multivariable Poisson regression and receiver operating curve analyses, stratified by sex and geographical region.Our pooled dataset from 58 nationally representative surveys in 57 LMICs included 685 616 individuals. The overall prevalence of overweight was 27·2% (95% CI 26·6-27·8), of obesity was 21·0% (19·6-22·5), and of diabetes was 9·3% (8·4-10·2). In the pooled analysis, a higher risk of diabetes was observed at a BMI of 23 kg/m2 or higher, with a 43% greater risk of diabetes for men and a 41% greater risk for women compared with a BMI of 18·5-22·9 kg/m2. Diabetes risk also increased steeply in individuals aged 35-44 years and in men aged 25-34 years in sub-Saharan Africa. In the stratified analyses, there was considerable regional variability in this association. Optimal BMI thresholds for diabetes screening ranged from 23·8 kg/m2 among men in east, south, and southeast Asia to 28·3 kg/m2 among women in the Middle East and north Africa and in Latin America and the Caribbean.The association between BMI and diabetes risk in LMICs is subject to substantial regional variability. Diabetes risk is greater at lower BMI thresholds and at younger ages than reflected in currently used BMI cutoffs for assessing diabetes risk. These findings offer an important insight to inform context-specific diabetes screening guidelines.Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program.
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
1秒前
电量只有5%完成签到,获得积分20
2秒前
地理牛马发布了新的文献求助10
3秒前
wtt完成签到,获得积分10
4秒前
想不出来完成签到 ,获得积分10
5秒前
动听的凌旋应助张志超采纳,获得10
6秒前
9秒前
Orange应助史萌采纳,获得10
9秒前
脑洞疼应助优美紫槐采纳,获得10
10秒前
洁净冥茗关注了科研通微信公众号
10秒前
14秒前
科研通AI6应助研友_Zr2l4Z采纳,获得10
14秒前
一只眠羊完成签到 ,获得积分10
15秒前
能干梦安发布了新的文献求助10
15秒前
18秒前
浓浓完成签到 ,获得积分10
18秒前
科研通AI6应助科研通管家采纳,获得30
20秒前
Criminology34应助科研通管家采纳,获得10
20秒前
科研通AI6应助科研通管家采纳,获得10
20秒前
Criminology34应助科研通管家采纳,获得10
20秒前
23秒前
鳗鱼半烟发布了新的文献求助10
23秒前
科研通AI6应助大聪明采纳,获得10
24秒前
24秒前
Jack完成签到 ,获得积分10
25秒前
彼其于岸完成签到,获得积分10
26秒前
陈先生完成签到,获得积分10
26秒前
Barnett完成签到,获得积分10
26秒前
懒洋洋发布了新的文献求助10
26秒前
奥黛丽赫本完成签到,获得积分10
27秒前
lyz发布了新的文献求助10
28秒前
晚风挽清欢完成签到 ,获得积分10
29秒前
小丸子完成签到,获得积分10
29秒前
山水之乐发布了新的文献求助10
30秒前
30秒前
30秒前
vuluv完成签到,获得积分10
31秒前
34秒前
34秒前
地理牛马发布了新的文献求助10
35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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Research Handbook on Social Interaction 1000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5657624
求助须知:如何正确求助?哪些是违规求助? 4811149
关于积分的说明 15079938
捐赠科研通 4815859
什么是DOI,文献DOI怎么找? 2576931
邀请新用户注册赠送积分活动 1531935
关于科研通互助平台的介绍 1490452