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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
Open accessAbstract
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 [HbA 1c]); 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 HbA 1c 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/m 2], upper-normal [23·0-24·9 kg/m 2], overweight [25·0-29·9 kg/m 2], or obese [≥30·0 kg/m 2]), 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/m 2 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/m 2. 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/m 2 among men in east, south, and southeast Asia to 28·3 kg/m 2 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.
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“Although obesity is theoretically reversible28, 51, 52 and addressing it could provide the biggest opportunity to limit the advance of diabetes, current trends suggest that obesity rates are likely to continue to climb.45”
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“Type 2 diabetes is preventable and, in some instances, reversible with early detection and adequate care.33, 45, 46”
From Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 (2024) · cites this paper as [46]
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(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952
Self-citationDiet, nutrition and the prevention of chronic diseases
Joint, W. (2002) · Medical Entomology and Zoology · Cited by 4,890
Zhou, B., Lu, Y., Hajifathalian, K., Bentham, J., Di Cesare, M., Danaei, G., Bixby, H., Cowan, M., Ali, M., Taddei, C., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00618-8 · Cited by 4,311
Self-citationLevesque, R. J. R. (2017) · Springer eBooks · doi:10.1007/978-3-319-32132-5_447-2 · Cited by 4,060
Chooi, Y. C., Ding, C., & Magkos, F. (2018) · Metabolism · doi:10.1016/j.metabol.2018.09.005 · Cited by 2,997
Overweight, Obesity, and Mortality in a Large Prospective Cohort of Persons 50 to 71 Years Old
Adams, K. F., Schatzkin, A. G., Harris, T. B., Kipnis, V., Mouw, T., Ballard-Barbash, R. R., Hollenbeck, A. R., & Leitzmann, M. F. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa055643 · Cited by 2,147
Ashwell, M., Gunn, P., & Gibson, S. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00952.x · Cited by 2,130
Ross, R., Neeland, I. J., Yamashita, S., Shai, I., Seidell, J., Magni, P., Santos, R. D., Arsenault, B., Cuevas, A., Hu, F. B., et al. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0310-7 · Cited by 1,966
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Self-citationOng, K. L., Stafford, L. K., McLaughlin, S. A., Boyko, E. J., Vollset, S. E., Smith, A. E., Dalton, B. E., Duprey, J., Cruz, J. A., Hagins, H., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01301-6 · Cited by 4,681
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Xu, Y., Lu, J., Li, M., Wang, T., Wang, K., Cao, Q., Ding, Y., Xiang, Y., Wang, S., Yang, Q., et al. (2024) · The Lancet Public Health · doi:10.1016/s2468-2667(24)00250-0 · Cited by 238
Wang, F., Ma, B., Ma, Q., & Liu, X. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001071 · Cited by 175
He, K., Wang, H., Xu, J., Gong, G., Liu, X., & Guan, H. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1501690 · Cited by 121
Sagastume, D., Siero, I., Mertens, E., Cottam, J., Colizzi, C., & Peñalvo, J. L. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101650 · Cited by 73
Aggarwal, R., Bibbins-Domingo, K. B., Yeh, R. W., Song, Y., Chiu, N., Wadhera, R. K., Shen, C., & Kazi, D. S. (2022) · Annals of Internal Medicine · doi:10.7326/m20-8079 · Cited by 64
Gilden, A. H., Catenacci, V. A., & Taormina, J. M. (2024) · Annals of Internal Medicine · doi:10.7326/aitc202405210 · Cited by 58
Rahim, N. E., Flood, D., Marcus, M. E., Theilmann, M., Aung, T. N., Agoudavi, K., Aryal, K. K., Bahendeka, S., Bicaba, B. W., Bovet, P., et al. (2023) · The Lancet Global Health · doi:10.1016/s2214-109x(23)00348-0 · Cited by 57
Self-citationThe challenges of identifying and studying type 1 diabetes in adults
Thomas, N. J., & Jones, A. G. (2023) · Diabetologia · doi:10.1007/s00125-023-06004-4 · Cited by 54
Rising tide: The global surge of type 2 diabetes in children and adolescents demands action now
Pappachan, J. M., Fernandez, C. J., & Ashraf, A. P. (2024) · World Journal of Diabetes · doi:10.4239/wjd.v15.i5.797 · Cited by 58
Guo, C., Liu, Z., Lin, C., Fan, H. X., Zhang, X., Wang, H., Han, X., Li, Y., Mu, L., Yu, S., et al. (2023) · Journal of Global Health · doi:10.7189/jogh.13.04167 · Cited by 30
Ochmann, S., von Polenz, I., Marcus, M. E., Theilmann, M., Flood, D., Agoudavi, K., Aryal, K. K., Bahendeka, S., Bicaba, B. W., Bovet, P., et al. (2023) · The Lancet Global Health · doi:10.1016/s2214-109x(23)00280-2 · Cited by 28
Self-citationManne‐Goehler, J., Theilmann, M., Flood, D., Marcus, M. E., Andall‐Brereton, G., Agoudavi, K., Arboleda, W. A. L., Aryal, K. K., Bicaba, B. W., Bovet, P., et al. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac125 · Cited by 26
Self-citationZhu, Y., Wang, Z., Maruyama, H., Onoda, K., & Huang, Q. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074238 · Cited by 24
da Rocha, T. J. C. M., Melson, E., Zamora, J., Fernandez-Felix, B. M., Arlt, W., & Thangaratinam, S. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad599 · Cited by 24
Fu, X., Wang, Y., Cates, R. S., Li, N., Liu, J., Ke, D., Liu, J., Liu, H., & Yan, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1061507 · Cited by 24
Nonalcoholic Fatty Liver Disease in Asia, Africa, and Middle East Region
Ong, J. P., Alswat, K., Hamid, S. S., & El‐Kassas, M. (2023) · Clinics in Liver Disease · doi:10.1016/j.cld.2023.01.014 · Cited by 22
Zapata, L. E. C., Cambiasso, M. J., & Arévalo, M. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.937875 · Cited by 18
Disparities in high fasting plasma glucose-related cardiovascular disease burden in China
Cao, X., Tian, Y., Zhao, Z., Wang, L., Wang, X., Zheng, C., Hu, Z., Gu, R., Xue, Y., Pei, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53236-y · Cited by 21
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Pan, X., Chen, Z., Wang, T. J., Shu, X., Cai, H., Cai, Q., Clish, C. B., Shi, X. D., Zheng, W., Gerszten, R. E., et al. (2022) · Obesity · doi:10.1002/oby.23549 · Cited by 18
Liu, Y., Wang, W., Huang, X., Zhang, X., Lin, L., Qin, J., Lei, F., Cai, J., & Cheng, B. (2022) · Journal of Diabetes · doi:10.1111/1753-0407.13299 · Cited by 17
Feraldi, A., Zarulli, V., Buse, K., Hawkes, S. J., & Chang, A. Y. (2025) · PLoS Medicine · doi:10.1371/journal.pmed.1004592 · Cited by 13
Sun, Z., Yuan, Y., Farrahi, V., Herold, F., Xia, Z., Xiong, X., Qiao, Z., Shi, Y., Yang, Y., Qi, K., et al. (2024) · BMC Public Health · doi:10.1186/s12889-024-20510-z · Cited by 16
Lean type 2 diabetes: the overlooked epidemic reshaping global health
Singh, V. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-02015-w · Cited by 18
Sun, L., Li, F.-H., & Fang, P. (2022) · Frontiers in Physiology · doi:10.2139/ssrn.4210141 · Cited by 15
Huang, J., Chang, T., Yeh, M., Shen, F., Tai, C., Chen, J., Huang, Y., Hsu, C., Cheng, P., Lin, C., et al. (2024) · Hepatology Communications · doi:10.1097/hc9.0000000000000571 · Cited by 15
Xing, Y., Cheng, T., Zhou, F., & Ma, H. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s348870 · Cited by 14
Liu, Y., Wen, H., Bai, J., Shi, F., Bi, R., & Yu, C. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156495 · Cited by 14
Epidemiological correlates of overweight and obesity in the Northern Cape Province, South Africa
Smith, M. H., Myrick, J. W., Oyageshio, O. P., Uren, C., Saayman, J., Boolay, S., van der Westhuizen, L., Werely, C. J., Möller, M., Henn, B. M., et al. (2023) · PeerJ · doi:10.7717/peerj.14723 · Cited by 14
Karugu, C. H., Agyemang, C. O., Ilboudo, P. G., Boachie, M. K., Mburu, L., Wanjohi, M., Sanya, R. E., Moolla, A., Ojiambo, V., Kruger, P., et al. (2024) · BMC Health Services Research · doi:10.1186/s12913-024-11700-x · Cited by 14
Zhou, Z., & Liu, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-92652-y · Cited by 15
GABAB Receptor: Structure, Biological Functions, and Therapy for Diseases
Xie, W., Li, Y., Wang, X., Blokhina, E. A., Krupitsky, E. M., Vetrova, M., Hu, J., Yuan, T., Chen, J., Wang, H., et al. (2025) · MedComm · doi:10.1002/mco2.70163 · Cited by 15
Suzuki, Y., Kaneko, H., Okada, A., Matsuoka, S., Itoh, H., Fujiu, K., Michihata, N., Jo, T., Takeda, N., Morita, H., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac247 · Cited by 14
Kagaruki, G. B., Mahande, M. J., Kreppel, K. S., Mbata, D., Kilale, A. M., Shayo, E. H., Mfinanga, S., & Bonfoh, B. (2022) · BMC Nutrition · doi:10.1186/s40795-022-00589-6 · Cited by 14
Self-citationAssociation of Body Mass Index and Its Change With Incident Diabetes Mellitus
Ohno, R., Kaneko, H., Ueno, K., Aoki, H., Okada, A., Kamiya, K., Suzuki, Y., Matsuoka, S., Fujiu, K., Takeda, N., et al. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad374 · Cited by 13
Cao, Y., Jin, C., Zhang, J., Sun, H., Ma, B., Yang, X., Liu, T., Yang, K., & Li, Y. (2023) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2023.102852 · Cited by 13
Marvasti, F. E., Ejtahed, H., Siadat, S. D., Soroush, A., Tavassol, Z. H., Hasani‐Ranjbar, S., & Larijani, B. A. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1007506 · Cited by 17
Zhang, Y., Jiang, L., Su, P., Tian, Y., Ma, Z., Kang, W., Liu, Y., Jin, Z., & Yu, J. (2022) · Nutrients · doi:10.3390/nu14235047 · Cited by 13
Gao, H., Wang, K., Zhao, W., Zhuang, J., Jiang, Y., Zhang, L., Liu, Q., & Ahmadizar, F. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.828403 · Cited by 13
Gupta, R. D., Kothadia, R. J., & Parray, A. A. (2023) · Diabetes Epidemiology and Management · doi:10.1016/j.deman.2023.100155 · Cited by 12
Zamani, M. M., Nikbaf‐Shandiz, M., Aali, Y., Rasaei, N., Zarei, M., Shiraseb, F., & Asbaghi, O. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1084084 · Cited by 14
Abbas, M. M., Almasri, M., Abu-Zant, A., Sharef, S., Mahajne, S., & Kananbi, K. (2023) · Quality Assurance and Safety of Crops & Foods · doi:10.15586/qas.v15i4.1380 · Cited by 12
Nematollahi, M. A., Askarinejad, A., Asadollahi, A., Salimi, M., Moghadami, M., Sasannia, S., Bazrafshan, M., Farjam, M., Homayounfar, R., Pezeshki, B., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1675052/v1 · Cited by 12
Kwan, S. H., & de Mejı́a, E. G. (2024) · Nutrients · doi:10.3390/nu16020329 · Cited by 11
Li, R., Zhang, J., Zhang, M., Yang, K., He, Y. H., Hu, C., Lin, X., Tao, Y., Zhang, X., & Jin, L. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112066 · Cited by 11
Maximising use of population data on cardiometabolic diseases
Flood, D., Guwatudde, D., Damasceno, A. A. M., Manne‐Goehler, J., & Davies, J. I. (2022) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00328-4 · Cited by 11
Self-citationDuration of Type 2 Diabetes and Incidence of Cancer: An Observational Study in England
Zaccardi, F., Ling, S., Brown, K., Davies, M. J., & Khunti, K. K. (2023) · Diabetes Care · doi:10.2337/dc23-1013 · Cited by 11
Recent advances in drug delivery systems based on natural and synthetic polymes for treating obesity
Xiao, M., Wang, Z., Li, C., Zhang, K., Hou, Z., Sun, S., & Yang, L. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.129311 · Cited by 11
Nuhoğlu, İ., Değer, O., Topbaş, M., & Erem, C. (2022) · Primary care diabetes · doi:10.1016/j.pcd.2022.05.010 · Cited by 11
Yuan, C., Wang, J., Zhang, W., Yi, H., Shu, B., Li, C., Liang, Q., Liang, D., Chen, B., Xie, X., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1162175 · Cited by 11
Wang, Y., Xu, L., Wang, N., Zhu, L., Zhao, F., Xu, K., Liu, T., & Fu, C. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.773172 · Cited by 13
Wang, Y., Pan, L., He, H., Li, Z., Cui, S., Yang, A., Li, W., Jia, G., Han, X., Wang, X., et al. (2024) · BMC Public Health · doi:10.1186/s12889-023-17181-7 · Cited by 9
Traoré, G. S., Kouassi, K. B., Coulibaly, J. T., Beckmann, J., Gba, B. C., Lang, C., Long, K. Z., Dao, D., Gerber, M., Probst-Hensch, N. M., et al. (2022) · BMC Pediatrics · doi:10.1186/s12887-022-03684-6 · Cited by 9
Jin, Y., So, H., Cerin, E., Barnett, A. H., Mubarik, S., Hezam, K., Feng, X., Wang, Z., Huang, J., Zhong, C., et al. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1035439 · Cited by 10
Nematollahi, M. A., Askarinejad, A., Asadollahi, A., Bazrafshan, M., Sarejloo, S., Moghadami, M., Sasannia, S., Farjam, M., Homayounfar, R., Pezeshki, B., et al. (2023) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-023-01350-x · Cited by 9
Metabolic disorder–associated kidney disease and diabetic kidney disease in developing countries
Bavanandan, S., Noronha, I. L., Tchokhonelidze, I., & Liew, A. (2025) · Kidney International · doi:10.1016/j.kint.2025.03.034 · Cited by 8
Wetzel, S., Sarker, M., Hasan, M., Talukder, A., Sudharsanan, N., & Geldsetzer, P. (2023) · Epidemiology · doi:10.1097/ede.0000000000001622 · Cited by 9
Self-citationHuang, L., Wang, Z., Pan, Y., Zhou, K., & Zhong, S. (2024) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s458084 · Cited by 8
Wang, X., Wu, Y. H., Wang, Y., Zhou, J., & Liu, T. (2024) · BMC Public Health · doi:10.1186/s12889-024-20254-w · Cited by 8
Obesity and diabetes in people of African ancestry with HIV
Cechin, L., Norcross, C., Oliveira, A., Hopkins, D., McGowan, B. M., & Post, F. A. (2022) · HIV Medicine · doi:10.1111/hiv.13413 · Cited by 8
Food Insecurity and Diabetes: An Investigation of Underserved Asian Americans in Michigan
Wu, T.-Y., Bessire, R., Ford, O., Rainville, A., Chong, C.-M., & Caboral-Stevens, M. (2022) · Health Promotion Practice · doi:10.1177/15248399221116088 · Cited by 5
Manne‐Goehler, J., Rahim, N. E., van Empel, E., de Vlieg, R. A., Chamberlin, G. C., Ihama, A., Castle, A. C., Mabweazara, S. Z., Venter, F., Chandiwana, N. C., et al. (2023) · AIDS and Behavior · doi:10.1007/s10461-023-04152-7 · Cited by 9
Self-citationBMI and diabetes risk in low-income and middle-income countries
Choukem, S. P., & Dimala, C. A. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01425-2 · Cited by 9
Alkhaldi, G., Alotaibi, A. F., Alkasabi, R., Alsadhan, N., & Alageel, S. (2024) · Behavioral Sciences · doi:10.3390/bs14030174 · Cited by 7
Teufel, F., Roddewig, P., Marcus, M. E., Theilmann, M., Andall‐Brereton, G., Aryal, K. K., Azadnajafabad, S., Bovet, P., Dorobanţu, M., Farzadfar, F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59123-4 · Cited by 7
Self-citationZhang, S., Li, W., Jia, X., Zhang, J., Jiang, H., Wang, L., Wang, H., Zhang, B., Wang, Z., & Ding, G. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.922824 · Cited by 7
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Bloomgarden, Z. T., & Handelsman, Y. (2023) · Contemporary diabetes · doi:10.1007/978-3-031-26681-2_31 · Cited by 9
Gu, L., Ma, Y., Zheng, Q., Gu, W., Ke, T., Li, L., Zhao, D., Dai, Y., Dong, Q., Ji, B., et al. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13466 · Cited by 7
Corbett, J., Tipton, M., Perissiou, M., James, T. J., Young, J. S., Newman, A., Cummings, M. H., Montgomery, H., Grocott, M. P. W., & Shepherd, A. I. (2023) · Physiological Reports · doi:10.14814/phy2.15623 · Cited by 7
Yu, X., Huang, Y.-H., Feng, Y., Cheng, Z.-Y., & Cai, X. (2023) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-22-1083 · Cited by 6
Type 5 diabetes: a 70-year perspective and its implications for the Americas
Wadivkar, P., Thompson, D. S., Shamamian, M., Hawkins, M. A., & Boyne, M. S. (2025) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2025.101313 · Cited by 7
Agboyibor, M. K., Nambiema, A., Golestani, A., Okeibunor, J., Diallo, C. B., Jouven, X., Dangou, J.-M., Farzadfar, F., & Empana, J. P. (2026) · BMJ Global Health · doi:10.1136/bmjgh-2025-019988 · Cited by 6
Self-citationSimmons, S. S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e19494 · Cited by 8
Altered hepatic metabolic landscape and insulin sensitivity in response to pulmonary tuberculosis
Das, M., Savidge, B. O., Pearl, J. E., Yates, T. E., Miles, G. J., Pareek, M., Haldar, P., & Cooper, A. M. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1012565 · Cited by 6
Zhou, Y., Hou, Y., Xiang, J., Dai, H., Li, M., Wang, T., Wang, S., Lin, H., Lu, J., Xu, Y., et al. (2021) · Nutrition & Metabolism · doi:10.1186/s12986-021-00629-1 · Cited by 6
Jaisamut, P., Tohlang, C., Wanna, S., Thanakun, A., Srisuwan, T., Limsuwan, S., Rattanachai, W., Suwannachot, J., & Chusri, S. (2022) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2022/2530266 · Cited by 6
Okada, A., Kaneko, H., Matsuoka, S., Itoh, H., Suzuki, Y., Fujiu, K., Michihata, N., Jo, T., Takeda, N., Morita, H., et al. (2022) · Journal of Diabetes Investigation · doi:10.1111/jdi.13958 · Cited by 6
Zhang, S., Zong, Y., Hu, Y., Sheng, Y., & Xiao, G. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1146798 · Cited by 6
Effects of Milkfat on the Gut Microbiome of Patients After Bariatric Surgery, a Pilot Study
O’Neill, L., Pandya, V., Grigoryan, Z., Patel, R. A., DeSipio, J., Judge, T. A., & Phadtare, S. (2021) · Obesity Surgery · doi:10.1007/s11695-021-05805-z · Cited by 6
Jiang, H., Wang, H., Pan, T., Liu, Y., Jing, P., & Liu, Y. (2024) · Bioengineering · doi:10.3390/bioengineering11111053 · Cited by 5
Hassanloo, N., Mehran, L., Amouzegar, A., Abdi, H., Masoumi, S., Azizi, F., & Maroufi, S. P. (2024) · Scientific Reports · doi:10.1038/s41598-024-75179-6 · Cited by 7
Obesity is related to maternal periodontitis severity in pregnancy: a cross-sectional study
Ramı́rez, V., Weber, L., Hernández, M., Realini, O., Bendek, M. J., Busso, D., Hoare, A., Illanes, S. E., & Chaparro, A. P. (2023) · Clinical Oral Investigations · doi:10.1007/s00784-023-05170-4 · Cited by 7
Merkel, L., Teufel, F., Malta, D. C., Jørgensen, J., Theilmann, M., Marcus, M.-E., Flood, D., Geldsetzer, P., Manne-Goehler, J., Petrak, F., et al. (2024) · Diabetes Care · doi:10.2337/dc23-1507 · Cited by 5
Self-citationNiu, Z., Cao, L., Guo, W., & Zhang, H. (2024) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2024.07.105 · Cited by 4
Wang, Y., Liu, M., & Liu, J. (2022) · Nutrients · doi:10.3390/nu14194014 · Cited by 4
Shah, V. N., Prattichizzo, F., & Ceriello, A. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.2515 · Cited by 4
Obirikorang, C., Adu, E. A., Awuah, A. A.-A., Darko, S. N., Ghartey, F. N., Ametepe, S., Nyarko, E. N. Y., Anto, E. O., & Owiredu, W. K. B. A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0302912 · Cited by 3
Murphy, L., Bulstra, C. A., Figi, J. T., Fladger, A., & Atun, R. A. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-091183 · Cited by 3
Self-citationGeranylgeranyl Pyrophosphate Promotes Hepatic Lipid Accumulation by Prenylation of Perilipin4
Zhao, Y., Nie, H.-Y., Jiang, S., Zhao, M., Sun, P., Zhang, J., Wang, X.-C., Tang, Y., Zou, M., Yuan, X., et al. (2025) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2025.101546 · Cited by 3
Busaidi, S. A., Al-Maqbali, J. S., Noumani, J. H. A., Harthi, T. A., Alawi, A. M. A., & Kharusi, A. A. (2025) · International Journal of Obesity · doi:10.1038/s41366-025-01922-2 · Cited by 3
Treatment Adherence and Cognitive Emotion Regulation Skills in Patients With Diabetes Mellitus
Ekitli, G. B., Uğuz, Ö., Turgut, E. Ö., & Çam, M. O. (2025) · SAGE Open · doi:10.1177/21582440251363675 · Cited by 3
Nematollahi, M. A., Joloudari, J. H., Zare, O., Maftoun, M., Shadkam, N., Sharifrazi, D., Alizadehsani, R., & Asadollahi, A. (2025) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-025-01661-1 · Cited by 3
Oshidari, Y., Salehi, M., Kermani, M., & Jafari, A. J. (2023) · International Journal of Environmental Health Research · doi:10.1080/09603123.2023.2254713 · Cited by 3
Bao, C., Liu, X., Li, Y., Yang, J., Wei, F., Gong, Y., Ma, Z., & Liu, J. (2023) · Endocrine Journal · doi:10.1507/endocrj.ej23-0211 · Cited by 3
Obesity and Metabolic Syndrome in Latin America
Ycaza, A. E. E. D., & Cardenas, S. M. C. (2023) · Springer eBooks · doi:10.1007/978-3-031-40116-9_4 · Cited by 3
Zeng, X., Lian, X., Wang, Y., Shang, X., & Yu, H. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01499-2 · Cited by 2
Xi, L., Zhao, J., & Wang, Y. (2025) · Medicine · doi:10.1097/md.0000000000044815 · Cited by 2
Slater, T., Hernández, G., Drebert, Z. J., Henson, J. J., Goldney, J., Zaccardi, F., Sargeant, J. A., Brown, K., Webb, D. R., Papamargaritis, D., et al. (2025) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2025.109210 · Cited by 2
Metadata
- Authors
- 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., Bärnighausen, T. W., Ali, M. K., Meigs, J. B., Wexler, D. J., & Manne-Goehler, J.
- Affiliations
- Heidelberg University (DE)
- Harvard University (US)
- University of Göttingen (DE)
- RWI – Leibniz Institute for Economic Research (DE)
- Togolese Ministry of Health (TG)
- Abt Associates (Nepal) (NP)
- Ministère De La Santé (BF)
- Fred Hollows Foundation (AU)
- Ministry of Health (SC)
- Ministry of Health (BT)
- Makerere University (UG)
- Université d'Abomey-Calavi (BJ)
- University of Copenhagen (DK)
- National Institute for Medical Research (TZ)
- Tribhuvan University (NP)
- Stellenbosch University (ZA)
- Costa Rican Department of Social Security (CR)
- University of Geneva (CH)
- Endocrinology and Metabolism Population Sciences Institute (IR)
- National Center for Disease Control and Public Health (GE)
- Ministry of Health and Social Welfare (LR)
- Boston University (US)
- University of Pittsburgh (US)
- University of the Witwatersrand (ZA)
- Emory University (US)
- ORCID
- Teufel, Felix
- Seiglie, Jacqueline A
- Geldsetzer, Pascal
- Theilmann, Michaela
- Marcus, Maja E
- Ebert, Cara
- Agoudavi, Kokou
- Aryal, Krishna K
- Bicaba, Brice Wilfried
- Brian, Garry
- Bovet, Pascal
- Gurung, Mongal Singh
- Guwatudde, David
- Houinato, Dismand
- Jorgensen, Jutta M Adelin
- Kagaruki, Gibson B
- Karki, Khem B
- Labadarios, Demetre
- Mayige, Mary T
- Mwalim, Omar
- Farzadfar, Farshad
- Moghaddam, Sahar Saeedi
- Sturua, Lela
- Stokes, Andrew C
- Essien, Utibe R
- Atun, Rifat
- Davies, Justine I
- Bärnighausen, Till W
- Ali, Mohammed K
- Meigs, James B
- Wexler, Deborah J
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 398
- Issue
- 10296
- Pages
- 238-248
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC8336025
- OpenAlex
- W3179285483
- Cited by
- 159
- References
- 27
- Citations by year
- 2026: 17 · 2025: 29 · 2024: 32 · 2023: 47 · 2022: 30 · 2021: 4
- FWCI
- 21.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 381 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- The Lancet (acceptedVersion)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by-nc-nd)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion, other-oa)
- IRIS (submittedVersion)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, other-oa)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Center for Advancing Translational Sciences
- Harvard University Harvard Catalyst
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Keywords
- body mass index, diabetes risk, obesity, overweight, low- and middle-income countries, HbA1c, fasting blood glucose, diabetes prevalence, sex differences, WHO STEPS survey, health care financing, health system performance, health system resilience, health system sustainability, health system preparedness
- MeSH terms
- Adult, Cross-Sectional Studies, Developing Countries, Diabetes Mellitus, Female, Health Surveys, Glycated Hemoglobin, Humans, Male, Middle Aged, Obesity, Poverty, Global Health, Body Mass Index, Prevalence
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