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

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...

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Veröffentlicht in:The Lancet (British edition) 2021-07, Vol.398 (10296), p.238-248
Hauptverfasser: Teufel, Felix, Seiglie, Jacqueline A, Geldsetzer, Pascal, Theilmann, Michaela, Marcus, Maja E, Ebert, Cara, Arboleda, William Andres Lopez, Agoudavi, Kokou, Andall-Brereton, Glennis, Aryal, Krishna K, Bicaba, Brice Wilfried, Brian, Garry, Bovet, Pascal, Dorobantu, Maria, Gurung, Mongal Singh, Guwatudde, David, Houehanou, Corine, Houinato, Dismand, Jorgensen, Jutta M Adelin, Kagaruki, Gibson B, Karki, Khem B, Labadarios, Demetre, Martins, Joao S, Mayige, Mary T, McClure, Roy Wong, Mwangi, Joseph Kibachio, Mwalim, Omar, Norov, Bolormaa, Crooks, Sarah, Farzadfar, Farshad, Moghaddam, Sahar Saeedi, Silver, Bahendeka K, Sturua, Lela, Wesseh, Chea Stanford, Stokes, Andrew C, Essien, Utibe R, De Neve, Jan-Walter, Atun, Rifat, Davies, Justine I, Vollmer, Sebastian, Bärnighausen, Till W, Ali, Mohammed K, Meigs, James B, Wexler, Deborah J, Manne-Goehler, Jennifer
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Sprache:eng
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Zusammenfassung: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 age
ISSN:0140-6736
1474-547X
DOI:10.1016/S0140-6736(21)00844-8