Prevalence of Diabetes and Its Associated Factors Among the Adult Tribal Population in Tamilnadu, India

Authors

DOI:

https://doi.org/10.55489/njcm.150820244134

Keywords:

Diabetes, Risk factors, Adult, Tribal Population, Kalvarayan hills, Tamilnadu

Abstract

Background: Diabetes is increasing at alarming rate among Indians especially South Indians with prevalence of diabetes mellitus varying in populations of different regions. There are very limited data available among the tribals. A cross‑sectional study was conducted to estimate the prevalence of diabetes mellitus and its associated factors in an adult tribal population.

Methodology: A total of 425 peoples were selected using multi-stage random sampling techniques. A modified STEP-wise questionnaire was used and detailed interview was conducted with the participants aged above 30 years. Random blood sugar and Body mass index (BMI) were estimated for all the participants. Chi-square and Adjusted Odds-ratio was used to study the strength of association.

Results: Prevalence of diabetes was 7.8% (33) among the study participants and 92.2% (392) of them were non diabetic. Among diabetic 21.2% (7) were newly diagnosed, 33.3% (11) of them had diabetes between 1-5years, 21.2% (7) have diabetes between 5-10 years and 24.3% (8) of them had diabetes more than 10years. Increasing Age, Education, Physical-inactivity and Obesity showed a strong association with diabetes.

Conclusions: The prevalence of diabetes and the burden of lifestyle risk factors for diabetes have been observed to be 7.8% among tribal populations in this study setting. Effective strategies to prevent this have to be devised.

References

Scheduled tribes in India:census of India 2011.Available at https://tribal.nic.in/downloads/statistics/3-STinindiaascensus2011.pdf Accessed on February 15th 2024.

Sahadevan P, Kamal VK, Sasidharan A, Bagepally BS, Kumari D, Pal A. Prevalence and risk factors associated with undiagnosed diabetes in India: Insights from NFHS-5 national survey. J Glob Health . 2023;13:04135. Doi: https://doi.org/10.7189/jogh.13.04135 PMid:38063336 PMCid:PMC10704946

Non communicable disease – WHO. Available at https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed on February 22nd 2024.

Entmacher PS, Marks HH. Diabetes in 1964, A world survey. Diabetes 1965;14(4):212-23. Doi: https://doi.org/10.2337/diab.14.4.212 PMid:14278095

Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27(5):1047-53. Doi: https://doi.org/10.2337/diacare.27.5.1047 PMid:15111519

Atlas D. International diabetes federation. IDF Diabetes Atlas, 1st edn. Brussels, Belgium: International Diabetes Federation. 2000.

Atlas D. International diabetes federation. IDF Diabetes Atlas, 2nd edn. Brussels, Belgium: International Diabetes Federation. 2003.

Atlas D. International diabetes federation. IDF Diabetes Atlas, 3rd edn. Brussels, Belgium: International Diabetes Federation. 2006.

Atlas D. International diabetes federation. IDF Diabetes Atlas, 4th edn. Brussels, Belgium: International Diabetes Federation. 2009.

Atlas D. International diabetes federation. IDF Diabetes Atlas, 5th edn. Brussels, Belgium: International Diabetes Federation. 2011.

Atlas D. International diabetes federation. IDF Diabetes Atlas, 6th edn. Brussels, Belgium: International Diabetes Federation. 2013.

Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, et al. IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Research and Clinical Practice . 2017;128:40-50. Doi: https://doi.org/10.1016/j.diabres.2017.03.024 PMid:28437734

World Health Organization. Health in 2015, from MDGs, millennium development goals to SDGs, sustainable development goals; 2015.

Manjareeka M, Palo SK, Swain S, Pati S, Pati S. Diabetes mellitus among newly diagnosed tuberculosis patients in tribal Odisha: An exploratory study. Journal of clinical and diagnostic research: JCDR. 2016 Oct;10(10):LC06. Doi: https://doi.org/10.7860/JCDR/2016/20999.8704 PMid:27891359 PMCid:PMC5121697

STEP wise approach to NCD risk factor surveillance (STEPS). Who.int. Available at https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/steps/steps-manual.pdf?sfvrsn=c281673d_8. Accessed on January 15th 2024

Somannavar S, Ganesan A, Deepa M, Datta M, Mohan V. Random capillary blood glucose cut points for diabetes and pre-diabetes derived from community-based opportunistic screening in India. Diabetes Care. 2009;32(4):641-3. Doi: https://doi.org/10.2337/dc08-0403 PMid:19073758 PMCid:PMC2660445

Lim JU, Lee JH, Kim JS, Hwang YI, Kim TH, Lim SY, Yoo KH, Jung KS, Kim YK, Rhee CK. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. International journal of chronic obstructive pulmonary disease. 2017 Aug 21:2465-75

Jameson, J. L., & Loscalzo, J. Harrison's principles of internal medicine. (19th edition.). New York,McGraw Hill Education,(2015).

Government of India, minister of human resource development department of school education and literacy https://dsel.education.gov.in/. Accessed on February 20th 2024.

Doddamani A, Ballala ABK, Madhyastha SP, Kamath A, Kulkarni MM. A cross-sectional study to identify the determinants of non-communicable diseases among fishermen in Southern India. BMC Public Health. 2021;21(1):414. Doi: https://doi.org/10.1186/s12889-021-10376-w PMid:33639892 PMCid:PMC7913403

Sarma PS, Sadanandan R, Thulaseedharan JV, Soman B, Srinivasan K, Varma RP, et al. Prevalence of risk factors of non-communicable diseases in Kerala, India: results of a cross-sectional study. BMJ open. 2019;9(11). Doi: https://doi.org/10.1136/bmjopen-2018-027880 PMid:31712329 PMCid:PMC6858196

Sathiyanarayanan S, Muthunarayanan L, Devaparthasarathy TA. Changing perspectives in tribal health: Rising prevalence of lifestyle diseases among tribal population in India. Indian Journal of Community Medicine. 2019;44(4):342-6. Doi: https://doi.org/10.4103/ijcm.IJCM_40_19 PMid:31802797 PMCid:PMC6881886

Muthunarayanan L, Russel J, Hegde S, Ramraj B. Ten years risk prediction of a major cardiovascular event in a rural block in Tamil Nadu. Heart India. 2015;3(2):43. Doi: https://doi.org/10.4103/2321-449X.158878

Madhu B, Prathyusha K, Prakruthi P, Srinath KM. Comparison of prevalence of life style risk factors and 10-year risk of CVD event among rural and tribal population of Kollegal Taluk, Chamrajanagar district, South India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019 Sep 1;13(5):2961-6. Doi: https://doi.org/10.1016/j.dsx.2019.07.056 PMid:31425964

Nirmala PV, Gudivada M, Lashmi C. Comparative study of the prevalence of type-2 diabetes mellitus in various demographic regions of Andhra Pradesh, India: A population-based study. International Journal of MCH and AIDS. 2016;5(2):103-11. Doi: https://doi.org/10.21106/ijma.91

Ismail L, Materwala H, Al Kaabi J. Association of risk factors with type 2 diabetes: A systematic review. Computational and structural biotechnology journal. 2021 Jan 1;19:1759-85. Doi: https://doi.org/10.1016/j.csbj.2021.03.003 PMid:33897980 PMCid:PMC8050730

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Published

2024-08-01

How to Cite

1.
Kalaivanan R, Sundaram P, Logaraj M, Anantharaman VV, Leon N. Prevalence of Diabetes and Its Associated Factors Among the Adult Tribal Population in Tamilnadu, India. Natl J Community Med [Internet]. 2024 Aug. 1 [cited 2024 Dec. 20];15(08):657-62. Available from: https://njcmindia.com/index.php/file/article/view/4134

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Original Research Articles