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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
- Source :
- Teufel, F, Seiglie, J A, Geldsetzer, P, Theilmann, M, Marcus, M E, Ebert, C, Arboleda, W A L, Agoudavi, K, Andall-Brereton, G, Aryal, K K, Bicaba, B W, Brian, G, Bovet, P, Dorobantu, M, Gurung, M S, Guwatudde, D, Houehanou, C, Houinato, D, Jorgensen, J M A, Kagaruki, G B, Karki, K B, Labadarios, D, Martins, J S, Mayige, M T, McClure, R W, Mwangi, J K, Mwalim, O, Norov, B, Crooks, S, Farzadfar, F, Moghaddam, S S, Silver, B K, Sturua, L, Wesseh, C S, Stokes, A C, Essien, U R, De Neve, J-W, Atun, R, Davies, J I, Vollmer, S, Barnighausen, T W, Ali, M K, Meigs, J B, Wexler, D J & Manne-Goehler, J 2021, ' 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 ', Lancet, vol. 398, no. 10296, pp. 238-248 . https://doi.org/10.1016/S0140-6736(21)00844-8, Lancet
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Summary Background 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. Methods 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. Findings 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. Interpretation 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. Funding Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program.
- Subjects :
- Adult
Male
medicine.medical_specialty
Diabetes risk
Cross-sectional study
030209 endocrinology & metabolism
Overweight
Global Health
Article
Body Mass Index
BMI
03 medical and health sciences
symbols.namesake
0302 clinical medicine
Diabetes mellitus
Diabetes Mellitus
Prevalence
medicine
Humans
Obesity
030212 general & internal medicine
Poisson regression
Developing Countries
Poverty
Glycated Hemoglobin
2. Zero hunger
OVERWEIGHT
business.industry
Public health
1. No poverty
General Medicine
Middle Aged
medicine.disease
Health Surveys
3. Good health
Cross-Sectional Studies
OBESITY
Income
symbols
Female
medicine.symptom
business
WAIST CIRCUMFERENCE
Body mass index
Demography
Subjects
Details
- ISSN :
- 01406736
- Volume :
- 398
- Database :
- OpenAIRE
- Journal :
- The Lancet
- Accession number :
- edsair.doi.dedup.....eeb31cf273636b4e7affd72fdecce7a2