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 万维网 病理 社会学 经济 经济增长 计算机科学
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 BV]
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
zyc1111111完成签到,获得积分10
刚刚
SciGPT应助南卡采纳,获得10
6秒前
wanci应助优雅夕阳采纳,获得10
7秒前
清秀尔竹完成签到 ,获得积分10
10秒前
佳佳灰完成签到,获得积分10
14秒前
Ww完成签到,获得积分10
15秒前
CodeCraft应助Ldq采纳,获得10
17秒前
情怀应助Ldq采纳,获得10
18秒前
所所应助Ldq采纳,获得10
18秒前
小明应助Ldq采纳,获得10
18秒前
小明应助Ldq采纳,获得10
18秒前
pluto应助Ldq采纳,获得10
18秒前
pluto应助Ldq采纳,获得10
18秒前
完美世界应助Ldq采纳,获得10
18秒前
庸人自扰完成签到,获得积分10
18秒前
华仔应助Ldq采纳,获得10
18秒前
小明应助Ldq采纳,获得10
18秒前
胡大嘴先生完成签到,获得积分10
19秒前
23秒前
YY完成签到,获得积分10
25秒前
123完成签到 ,获得积分10
26秒前
30秒前
HY完成签到,获得积分10
31秒前
所所应助心理可达鸭采纳,获得30
34秒前
35秒前
雪白书南完成签到 ,获得积分10
36秒前
38秒前
冰蓝完成签到 ,获得积分10
38秒前
LIN完成签到,获得积分10
39秒前
M88888发布了新的文献求助10
40秒前
不爱学习的小画家完成签到,获得积分10
44秒前
cgg发布了新的文献求助10
44秒前
沧浪完成签到,获得积分20
51秒前
M88888完成签到,获得积分10
52秒前
55秒前
58秒前
小张一心向上完成签到,获得积分10
58秒前
59秒前
1分钟前
cgg完成签到,获得积分10
1分钟前
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
求中国石油大学(北京)图书馆的硕士论文,作者董晨,十年前搞太赫兹的 500
Aircraft Engine Design, Third Edition 500
Neonatal and Pediatric ECMO Simulation Scenarios 500
苏州地下水中新污染物及其转化产物的非靶向筛查 500
Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research 460
Ricci Solitons in Dimensions 4 and Higher 450
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4776131
求助须知:如何正确求助?哪些是违规求助? 4108133
关于积分的说明 12707750
捐赠科研通 3829213
什么是DOI,文献DOI怎么找? 2112494
邀请新用户注册赠送积分活动 1136336
关于科研通互助平台的介绍 1020060