A Study on Assessment of Risk of Type 2 Diabetes Mellitus among Bank Employees Using Indian Diabetic Risk Score
Keywords:
Diabetes mellitus, Type 2, RiskAbstract
Background: With the changing life style in the recent decade risk of chronic non-communicable diseases like diabetes mellitus has increased globally. The present study was conducted to assess the bank employees for risk factors of type 2 Diabetes mellitus using Indian Diabetic Risk Score (IDRS).
Methods: A cross sectional field based study was carried out over a period of 2 months(June-July 2015) among employees of 8 branches of Bapuji Co-operative bank spread over the city of Davangere, Karnataka.Total 90 employees were available for the study. Data was collected by using a Pre tested and pre designed proforma, Indian Diabetic Risk Score(IDRS) and body measurements were taken.
Results: Out of 90 subjects, 71(78.8%) were males & 19(21.1%) were females. Age of subjects ranged from 25-55yrs. According to IDRS, 15(16.6%) were in high risk group, 55(61.1%) of them were in moderate risk group and 20(22.2%) were in low risk group for type 2 DM.
Conclusion: In our study 16.6% of the bank employees were at high risk of type 2 DM and 61% were at moderate risk of developing type 2 DM.
References
Burden: mortality, morbidity and risk factors. Available at : http://www.who.int/nmh/publications/ncd_report_chapter1.pdf. Accessed on December 28th, 2016.
Non communicable diseases. Available at http://www .wpro.who.int/mediacentre/factsheets/fs_20120926e/en/ . Accessed on December 31st , 2016.
World Health Organization. Global status report on non-communicable diseases 2010.Italy, WHO;2011: 9.
Whiting DR, Guariguata L, Weil C, Shaw J, IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pr 2011; 94(3):311-21.
V Mohan, R Deepa, M Deepa,S Somannavar,M Datta. A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. JAPI.2005;53:755-57.
Sharma R. Online interactive calculator for realtime up-date of the Prasad’s social classification for 2015. Avail-able at http://prasadscaleupdate.weebly.com/. Ac-cessed December 31st, 2016.
V Mohan, R Deepa, M Deepa,S Somannavar,M Datta. A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. JAPI.2005;53:760.
Preventing type 2 diabetes: population and community-level interventions. Available at: https://www.nice. org.uk/guidance/ph38/chapter/2-public-health-need-and-practice, accessed November 6th, 2015.
Abdullah A, Peeters A, de Courten M, et al. The magni-tude of association between overweight and obesity and the risk of diabetes: A meta-analysis of prospective co-hort studies. Diabetes Research & Clinical Practice, 2010;89(3):309-19.
V Mohan, S Sandeep, R Deepa, B Shah , C Varghese. Epi-demiology of type 2 diabetes: Indian scenario, Indian J Med Res 125, March 2007;217-30.
Bener A, Darwish S, Al-Hamaq AO, Yousafzai MT, Nasralla EA. The potential impact of family history of metabolic syndrome and risk of type 2 DM: In a highly endogamous population.Indian J Endocr Metab 2014;18:202-9.
Subramani R, Umadevi, Shankar U, Stephen, Karthik , Seshadhri et al,Assessment of Risk of Type 2 Diabetes Mellitus Among Rural Population in Tamilnadu by using Indian Diabetic Risk Score, Middle-East J.Sci.Res,21(1), 2014:224.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The authors retain the copyright of their article, with first publication rights granted to Medsci Publications.