Abstract
Objective
This study aimed to assess the secular trends in the prevalence of diabetes and pre-diabetes from two cross-sectional studies done 11 years apart, in rural Tamil Nadu.
Methods
The Telemedicine PRoject for screENing Diabetes and its complications in rural Tamil Nadu(TREND) study is a cross-sectional survey that screened 14,117 individuals aged ≥ 18 years between 2018–2021. TREND was conducted in 30 villages of Chengalpattu/Kancheepuram districts of Tamil Nadu in Southern India. The prevalence of diabetes and prediabetes was compared with an earlier study the Chunampet Rural Diabetes Prevention Project(CRDPP) which screened 23,380 individuals aged ≥ 20 years between 2006–2010 using similar methodology, in 42 villages in the same area. Diabetes and prediabetes were diagnosed using the WHO criteria.
Results
Individuals screened in TREND were significantly older (43.7 ± 14.5 vs.40.5 ± 15.2 years) and had higher BMI (23 ± 5 vs.21.4 ± 4.1) compared to CRDPP participants. The age and gender adjusted prevalence of diabetes increased from 5.3% to 13.7% (158.5% increase) during this 11-year period. There was a significant increase in prevalence of both self-reported diabetes (3.8% to 9.7%) and newly diagnosed diabetes (1.5% to 4.0%), but a decrease in prevalence of prediabetes from 16.7% to 8.4% (49.7% decrease) during the 11-year period. Age, male sex, BMI, formal education, occupations other than agriculture, family history of diabetes, and systolic blood pressure were significant predictors of diabetes.
Conclusions
The prevalence of diabetes among adults in rural south India has dramatically increased while that of prediabetes, has decreased, over a 11-year period. The decrease in prevalence of prediabetes might suggest a future slowing down of the epidemic.
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Data Availability
The dataset will be available upon request unless there are legal or ethical reasons for not doing so.
References
Heald AH, Stedman M, Davies M, Livingston M, Alshames R, Lunt M, et al. Estimating life years lost to diabetes: outcomes from analysis of National Diabetes Audit and Office of National Statistics data. Cardiovasc Endocrinol Metab. 2020;9:183–5. https://doi.org/10.1097/XCE.0000000000000210.
International Diabetes Federation. IDF Diabetes Atlas, 10th edition. Brussels, Belgium. 2021. Available from: https://www.diabetesatlas.org. Accessed 18 Aug 2022.
Khan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J, et al. Epidemiology of Type 2 diabetes - global burden of disease and forecasted trends. J Epidemiol Glob Health. 2020;10(1):107–11. https://doi.org/10.2991/jegh.k.191028.001.
Anjana RM, Ali MK, Pradeepa R, Deepa M, Datta M, Unnikrishnan R, et al. The need for obtaining accurate nationwide estimates of diabetes prevalence in India - rationale for a national study on diabetes. Indian J Med Res. 2011;13:369–80.
Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, ICMR–INDIAB Collaborative Study Group, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5:585–96. https://doi.org/10.1016/S2213-8587(17)30174-2.
Indian Council of Medical Research, Public Health Foundation of India, and Institute for Health Metrics and Evaluation. India: Health of the Nation’s States - The India State-Level Disease Burden Initiative. New Delhi: ICMR, PHFI and IHME. 2017. Available from: https://phfi.org/wp-content/uploads/2018/05/2017-India-State-Level-Disease-Burden-Initiative-Full-Report.pdf. Accessed 18 Aug 2022.
Ramachandran A, Snehalatha C, Baskar AD, Mary S, Kumar CK, Selvam S, et al. Temporal changes in prevalence of diabetes and impaired glucose tolerance associated with lifestyle transition occurring in the rural population in India. Diabetologia. 2004;47:860–5. https://doi.org/10.1007/s00125-004-1387-6.
Mohan V, Deepa M, Deepa R, Shanthirani CS, Farooq S, Ganesan A, et al. Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South India–the Chennai Urban Rural Epidemiology Study (CURES-17). Diabetologia. 2006;49:1175–8. https://doi.org/10.1007/s00125-006-0219-2.
Nanditha A, Snehalatha C, Satheesh K, Susairaj P, Simon M, Vijaya L, et al. Secular TRends in DiabEtes in India (STRiDE-I): Change in prevalence in 10 years among urban and rural populations in Tamil Nadu. Diabetes Care. 2019;42:476–85. https://doi.org/10.2337/dc18-1559.
Ranasinghe P, Jayawardena R, Gamage N, Sivanandam N, Misra A. Prevalence and trends of the diabetes epidemic in urban and rural India: A pooled systematic review and meta-analysis of 1.7 million adults. Ann Epidemiol. 2021;58:128–48. https://doi.org/10.1016/j.annepidem.2021.02.016.
Kaveeshwar SA, Cornwall J. The current state of diabetes mellitus in India. Australas Med J. 2014;7:45–8. https://doi.org/10.4066/AMJ.2013.1979.
Mohan V, Deepa M, Pradeepa R, Prathiba V, Datta M, Sethuraman R, et al. Prevention of diabetes in rural India with a telemedicine intervention. J Diabetes Sci Technol. 2012;6:1355–64. https://doi.org/10.1177/193229681200600614.
Lee RD, Nieman DC. Anthropometry. Nutritional Assessment 2nd Edition, McGraw Hill College, Boston; 1996. pp 249–61.
World Health Organization: Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia. Report of a WHO/IDF Consultation. World Health Organization, International Diabetes Federation. Geneva.2006; Available from: https://apps.who.int/iris/handle/10665/43588. Accessed 18th Aug 2022.
Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, ICMR–INDIAB Collaborative Study Group, et al. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study. Diabetologia. 2011;54:3022–7. https://doi.org/10.1007/s00125-011-2291-5.
Hostalek U. Global epidemiology of prediabetes - present and future perspectives. Clin Diabetes Endocrinol. 2019;5:5. https://doi.org/10.1186/s40842-019-0080-0.
Anjana RM, Shanthi Rani CS, Deepa M, Pradeepa R, Sudha V, et al. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-Year Follow-up of the Chennai Urban Rural Epidemiology Study (CURES). Diabetes Care. 2015;38:1441–8. https://doi.org/10.2337/dc14-2814.
National Sample Survey. Household Consumer Expenditure in India. Report No.530: 64th round. 2007. Available from: http://microdata.gov.in/nada43/index.php/catalog/116. Accessed 20 Aug 2022.
Amandeep K, Akarsh A, Singh S. Employment Diversification in Rural India: Nature, Pattern and Determinants. 2019; Ager 10(4422)2019.02. https://doi.org/10.4422/ager.2019.02.
West KM. Epidemiology of diabetes and its vascular lesions. New York: Elsevier Biomedical Press; 1978.
Venkatachalam J, Muthu Rajesh E, Singh Z, Devi S, Purty AJ, Stalin P, et al. Smoking and Diabetes: a case control study in a rural area of Kancheepuram district of Tamil Nadu. IOSR J Dent Med Sci. 2012;3:18–21.
Jangra A, Malik JS, Singh S, Sharma N. Diabetes in rural Haryana, India: A population-based study. J Med Allied Sci. 2019;9:48–54.
Rajput R, Rajput M, Singh J, Bairwa M. Prevalence of diabetes mellitus among the adult population in rural blocks of Haryana, India: a community-based study. Metab Syndr Relat Disord. 2012;10:443–6. https://doi.org/10.1089/met.2012.0067.
Sanjay DB, Manjunath S, Sunil SV, Rajashree R, Shivaprasad SG. Risk factors for type 2 diabetes mellitus in rural population of North Karnataka: A community-based cross-sectional study. Int J Pharma Med Biol Sci. 2014;3:1–14.
Ghorpade AG, Majgi SM, Sarkar S, Kar SS, Roy G, Ananthanarayanan PH, et al. Diabetes in rural Pondicherry, India: a population-based study of the incidence and risk factors. WHO South East Asia J Public Health. 2013;2:149–55. https://doi.org/10.4103/2224-3151.206761.
Priya M, Mohan Anjana R, Pradeepa R, Jayashri R, Deepa M, Bhansali A, et al. Comparison of capillary whole blood versus venous plasma glucose estimations in screening for diabetes mellitus in epidemiological studies in develo** countries. Diabetes Technol Ther. 2011;13:586–91. https://doi.org/10.1089/dia.2010.0218.
Acknowledgements
We thank the community leaders and the participants for their cooperation.
Funding
The CRDPP was supported by a grant from the World Diabetes Foundation, Denmark, and the satellite link for telemedicine services was donated by the Indian Space Research Organization, Bangalore, India. The TREND study was funded by National Institute for Health Research (NIHR) (INSPIRED 16/136/102) using UK aid from the UK Government to support global health research.
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VM, CP, RMA and RP conceived the study and provided scientific inputs and reviewed the manuscript critically for important intellectual content. RP and NL were involved data acquisition and execution of the field work. NL conducted the literature search and was involved in manuscript preparation, editing and revision of the drafts. HR, DM, VN reviewed article and provided inputs wherever necessary. RS and UV helped in statistical analysis of the data. MKS, ERP provided substantial contributions to the interpretation of data and revision of the manuscript. VM and RP are the guarantors of this work and had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors read the final draft of the article and contributed to it.
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This study was approved by the Institutional Ethics Committee of the Madras Diabetes Research Foundation, Chennai, India.
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All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1975, as revised in 2013.
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Informed consent was obtained from all patients for being included in the study.
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Natarajan Lakshmi and Rajendra Pradeepa joint first author.
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Lakshmi, N., Pradeepa, R., Anjana, R.M. et al. Secular trends in the prevalence of diabetes and prediabetes among the rural population of South India. Int J Diabetes Dev Ctries 43, 883–891 (2023). https://doi.org/10.1007/s13410-023-01204-5
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DOI: https://doi.org/10.1007/s13410-023-01204-5