A.D.A.P.P. Committee, 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2024. Diabetes Care. 47(Supplement1), S20–S42 (2023)

Google Scholar 

N.C.D.R.F. Collaboration, Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants. Lancet. 404(10467), 2077–2093 (2024)

Article  Google Scholar 

B.B. Duncan, D.J. Magliano, E.J. Boyko, IDF Diabetes Atlas 11th edition 2025: global prevalence and projections for 2050. Nephrol. Dial Transpl. 41(1), 7–9 (2025)

Article  Google Scholar 

V.G. Rodwin, G. Fabre, R.F. Ayoub, BRIC Health Systems and Big Pharma: A Challenge for Health Policy and Management. Int. J. Health Policy Manag. 7(3), 201–206 (2018)

Article  PubMed  PubMed Central  Google Scholar 

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 402(10397), 203–234 (2023)

Article  Google Scholar 

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM(2·5) air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019. Lancet Planet Health. 6(7), e586-e600 (2022)

Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. Lancet. 406(10513), 1873–1922 (2025)

Global, regional, and national comparative risk assessment of 84 behaviournvironmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 392(10159), 1923–1994 (2018).

F.P. Hartwig et al., Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. Int. J. Epidemiol. 45(6), 1717–1726 (2016)

Article  PubMed  PubMed Central  Google Scholar 

L.X. Clegg et al., Estimating average annual per cent change in trend analysis. Stat. Med. 28(29), 3670–3682 (2009)

Article  PubMed  PubMed Central  Google Scholar 

H.J. Kim et al., Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 19(3), 335–351 (2000)

Article  CAS  PubMed  Google Scholar 

A. Riebler, L. Held, Projecting the future burden of cancer: Bayesian age-period-cohort analysis with integrated nested Laplace approximations. Biom J. 59(3), 531–549 (2017)

Article  PubMed  Google Scholar 

S. Burgess, N.M. Davies, S.G. Thompson, Bias due to participant overlap in two-sample Mendelian randomization. Genet. Epidemiol. 40(7), 597–608 (2016)

Article  PubMed  PubMed Central  Google Scholar 

S. Burgess, A. Butterworth, S.G. Thompson, Mendelian randomization analysis with multiple genetic variants using summarized data. Genet. Epidemiol. 37(7), 658–665 (2013)

Article  PubMed  PubMed Central  Google Scholar 

J. Bowden et al., Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet. Epidemiol. 40(4), 304–314 (2016)

Article  PubMed  PubMed Central  Google Scholar 

S. Nethan, D. Sinha, R. Mehrotra, Non Communicable Disease Risk Factors and their Trends in India. Asian Pac. J. Cancer Prev. 18(7), 2005–2010 (2017)

PubMed  PubMed Central  Google Scholar 

R.M. Anjana et al., Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). Lancet Diabetes Endocrinol. 11(7), 474–489 (2023)

Article  PubMed  Google Scholar 

D.J. Corsi, S.V. Subramanian, Socioeconomic Gradients and Distribution of Diabetes, Hypertension, and Obesity in India. JAMA Netw. Open. 2(4), e190411 (2019)

Article  PubMed  PubMed Central  Google Scholar 

J.P. Tripathy et al., Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public. Health. 16(1), 816 (2016)

Article  PubMed  PubMed Central  Google Scholar 

A. Fardet et al., Nutrition Transition and Chronic Diseases in India (1990–2019): An Ecological Study Based on Animal and Processed Food Caloric Intake and Adequacy according to Nutrient Needs. Sustainability. 14(22), 14861 (2022)

Article  Google Scholar 

N. Tandon et al., The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016. Lancet Global Health. 6(12), e1352–e1362 (2018)

Article  Google Scholar 

S. Maiti et al., Socioeconomic inequality in awareness, treatment and control of diabetes among adults in India: Evidence from National Family Health Survey of India (NFHS), 2019–2021. Sci. Rep. 13(1), 2971 (2023)

Article  CAS  PubMed  PubMed Central  Google Scholar 

P. Mathur, S. Leburu, V. Kulothungan, Prevalence, Awareness, Treatment and Control of Diabetes in India From the Countrywide National NCD Monitoring Survey. Front. Public. Health. 10, 748157 (2022)

Article  PubMed  PubMed Central  Google Scholar 

Y. Xu et al., Diabetes in China part 1: epidemiology and risk factors. Lancet Public. Health. 9(12), e1089–e1097 (2024)

Article  PubMed  Google Scholar 

J. Yue et al., Prevalence, Awareness, Treatment and Control of Diabetes Mellitus in a Chinese Population. PLoS One. 11(4), e0153791 (2016)

Article  PubMed  PubMed Central  Google Scholar 

B.M. Mayosi et al., The burden of non-communicable diseases in South Africa. Lancet. 374(9693), 934–947 (2009)

Article  PubMed  Google Scholar 

M.F. Yuyun et al., Cardiovascular Diseases in Sub-Saharan Africa Compared to High-Income Countries: An Epidemiological Perspective. Glob Heart. 15(1), 15 (2020)

Article  PubMed  PubMed Central  Google Scholar 

K.M. Berry et al., Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011–2012. BMJ Glob Health. 2(3), e000348 (2017)

Article  PubMed  PubMed Central  Google Scholar 

J.R. Sharma et al., Prevalence of Hypertension and Its Associated Risk Factors in a Rural Black Population of Mthatha Town, South Africa. Int. J. Environ. Res. Public Health. 18(3), 1215 (2021)

Article  PubMed  PubMed Central  Google Scholar 

P. Groenewald et al., Estimating the changing disease burden attributable to smoking in South Africa for 2000, 2006 and 2012. S Afr. Med. J. 112(8b), 649–661 (2022)

Article  CAS  PubMed  Google Scholar 

S. Sifunda et al., Prevalence and Psychosocial Correlates of Diabetes Mellitus in South Africa: Results from the South African National Health and Nutrition Examination Survey (SANHANES-1). Int. J. Environ. Res. Public. Health. 20(10), 5798 (2023)

Article  PubMed  PubMed Central  Google Scholar 

N.N. Ferreira-Batista et al., The Brazilian Family Health Strategy and adult health: Evidence from individual and local data for metropolitan areas. Econ. Hum. Biol. 46, 101143 (2022)

Article  PubMed  Google Scholar 

J. Tam et al., Patterns of Birth Cohort–Specific Smoking Histories in Brazil. Am. J. Prev. Med. 64(4 Suppl 1), S63–S71 (2023)

Article  PubMed  PubMed Central  Google Scholar 

K. Kodaira et al., Time-trend in excess weight in Brazilian adults: A systematic review and meta-analysis. PLoS One. 16(9), e0257755 (2021)

Article  CAS  PubMed  PubMed Central  Google Scholar 

J. Schwartz et al., A Critical Review on New Approaches for Chronic Disease Prevention in Brazil and Canada: From Wholistic Dietary Guidelines to Physical Activity Security. Front. Cardiovasc. Med. 8, 730373 (2021)

Article  PubMed  PubMed Central  Google Scholar 

K. Kholmatova et al., Assessing the prevalence of obesity in a Russian adult population by six indices and their associations with hypertension, diabetes mellitus and hypercholesterolaemia. Int. J. Circumpolar Health. 83(1), 2386783 (2024)

Article  PubMed  PubMed Central