Association of socio-demographic variables and risk of type 2 diabetes using Indian diabetes risk score: a cross-sectional study in urban Mysuru
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20180260Keywords:
IDRS, Risk for diabetes, Sociodemographic factors, Chi-square testAbstract
Background: About 422 million people worldwide have diabetes. India has 69.2 million people living with diabetes out of a population of 1.3 billion (8.7%) as per the 2015 data. Of these, it remained undiagnosed in more than 36 million people. Early identification of at-risk individuals and appropriate lifestyle intervention would help in preventing or postponing the onset of diabetes mellitus. Present study aimed to study the association of IDRS components with socio demographic and anthropometric variables among adults in urban area of Mysore.
Methods: A community-based cross sectional study was conducted in the urban areas of the field practice area of Mysore Medical College and Research Institute. The study was conducted between March and July 2015. Using the estimation set up technique for proportion, the sample size was calculated to be 872 rounded off to 900, with level of significance of 5% and precision of 10%. Risk level for diabetes was assessed using Indian Diabetic Risk Score (IDRS) and sociodemographic and anthropometric factors were assessed through a semi structured pretested questionnaire.
Results: Of 900 participants, 197 (21.9%) had a high risk score (IDRS ≥60), the majority of participants (383; 42.5%) were in the moderate-risk category (IDRS 30–50). There was statistically significant difference between type of family and different risk categories under age component of IDRS (p<0.0005). Statistical significance was observed for marital status and SES among different age groups. Association was found significant between family history of diabetes component of IDRS and gender. There was also statistically significant difference between SES and different risk categories under family history of diabetes component of IDRS (p<0.0005).
Conclusions: IDRS should be used routinely in community-based screening to find out high risk category of population for diabetes.
Metrics
References
Reddy KS. Prevention and control of non-communicable diseases: status and strategies. New Delhi: Indian Council for Research on International Economic Relations; 2003 (Working Paper 104). Available at: https://www.syndromic.org/storage/ documents/NCDs/NCDStatusIndia2003_SrinathReddy.pdf. Accessed on 22 February 2016.
Anand K, Shah B, Yadav K. Are the urban poor vulnerable to noncommunicable diseases? A survey of risk factors for non-communicable in urban slums of Faridabad. Natl Med J India. 2007;20(3):115–20.
Misra A, Pandey RM, Rama DJ. High prevalence of diabetes, obesity and dyslipidemia in urban slum population in northern India. Int J Obes Relat Metab Disord. 2001;25(11):1722–9.
WHO. Global report on diabetes. Available at: http://apps.who.int/iris/bitstream/10665/204871/1/9789241565257_eng.pdf. Accessed on 17 November 2017.
Mohan V, Deepa R, Deepa M, Somannavar S, Datta M. A simplified Indian Diabetes score for screening for undiagnosed diabetic subjects. J Assoc Physicians India. 2005;53:759-63.
Chowdhury R, Mukherjee A, Lahiri SK. A study on distribution and determinants of Indian diabetic risk score (IDRS) among rural population of west Bengal. National J Med Res. 2012;23:282-6.
Gupta SK, Singh Z, Purty AJ,Mohan V. Diabetes prevalence and its risk factors in urban Pondicherry. Int J Diabetes Dev Ctries. 2009;29(4):166–9.
Mohan V, Sandeep S, Deepa R, Shah B, Varghese C. Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res. 2007;125(3):217–30.
Brahmbhatt KR, Chakraborty T, Gopal C, Shwethashree M, Madappady S, Sowndarya TA, et al. Assessment of risk of type 2 diabetes using simplified Indian Diabetes Risk Score-Community-based cross-sectional study. Int J Med Sci Public Health. 2016;5:2522-5.
Downloads
Published
How to Cite
Issue
Section
