Risk assessment of Diabetes using the Indian Diabetes Risk Score in an urban resettlement colony of East Delhi

Published

2020-06-30

DOI:

https://doi.org/10.47203/IJCH.2020.v32i02.010

Keywords:

Diabetes, Indian Diabetes Risk Score, Waist circumference, Physical activity

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Abstract

Background- The burden of diabetes in India is expected to worsen in the coming years. Indian Diabetes Risk Score (IDRS) is a validated and cost?effective tool to identify risk of developing diabetes among population. Objectives- To assess the risk of Type 2 Diabetes mellitus using the IDRS in adults aged 30 years and above and to study the association of risk of diabetes with other factors. Material & Methods- A cross-sectional study was conducted in Kalyanpuri area of East Delhi. Data collection was done from August to December, 2018. 494 residents aged 30 years and above were included in the study. Data was collected using a semi-structured questionnaire. SPSS version 23 was used for data analysis. Results- 43.7 % of the study subjects were aged 50 years or above and majority (65.38%) were females. More than half (59.31%) of the subjects were found to have high risk of diabetes. Age and central obesity were found to be significantly associated with risk of diabetes (p<0.05). Risk of developing diabetes was not associated with gender. Conclusion- Early detection of risk of diabetes by periodic screening and appropriate behavioral change communication would be effective in controlling the diabetes crisis.

How to Cite

1.
Acharya AS, Debbarma S, Rasania SK, Tiwari N, Bachani D, Khandekar J. Risk assessment of Diabetes using the Indian Diabetes Risk Score in an urban resettlement colony of East Delhi. Indian J Community Health [Internet]. 2020 Jun. 30 [cited 2023 Jan. 29];32(2):354-8. Available from: https://www.iapsmupuk.org/journal/index.php/IJCH/article/view/1406

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References

International Diabetes Federation. IDF Diabetes Atlas, 9th edition. Brussels; 2019

Prenissl J, Jaacks LM, Mohan V, Manne-Goehler J, Davies JI, Awasthi A, Bischops AC, Atun R, Bärnighausen T, Vollmer S, Geldsetzer P. Variation in health system performance for managing diabetes among states in India: a cross-sectional study of individuals aged 15 to 49?years. BMC Med. 2019 May 13;17(1):92. doi: 10.1186/s12916-019-1325-6. PubMed PMID: 31084606; PubMed Central PMCID: PMC6515628.[PubMed]

Mohan V, Deepa R, Deepa M, Somannavar S, Datta M. A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. J Assoc Physicians India. 2005 Sep;53:759-63. PubMed PMID: 16334618.[PubMed]

Dasappa H, Fathima FN, Prabhakar R, Sarin S. Prevalence of diabetes and pre-diabetes and assessments of their risk factors in urban slums of Bangalore. J Family Med Prim Care. 2015 Jul-Sep;4(3):399-404. doi: 10.4103/2249-4863.161336. PubMed PMID: 26288781; PubMed Central PMCID: PMC4535103.[PubMed]

Singh MM, Mangla V, Pangtey R, Garg S. Risk Assessment of Diabetes Using the Indian Diabetes Risk Score: A Study on Young Medical Students from Northern India. Indian J Endocrinol Metab. 2019 Jan-Feb;23(1):86-90. doi: 10.4103/ijem.IJEM_623_18. PubMed PMID: 31016160; PubMed Central PMCID: PMC6446666.[PubMed]

Walia R, Bhansali A, Ravikiran M, Ravikumar P, Bhadada SK, Shanmugasundar G, Dutta P, Sachdeva N. High prevalence of cardiovascular risk factors in Asian Indians: a community survey - Chandigarh Urban Diabetes Study (CUDS). Indian J Med Res. 2014 Feb;139(2):252-9. PubMed PMID: 24718400; PubMed Central PMCID: PMC4001337.[PubMed]

Thomas T, Prabhata S, Valsangkar S. Diabetes screening and the distribution of blood glucose levels in rural areas of North India. J Family Community Med. 2015 Sep-Dec;22(3):140-4. doi: 10.4103/2230-8229.163026. PubMed PMID: 26392793; PubMed Central PMCID: PMC4558734.[PubMed]

Garg A, Anand T, Sharma U, Kishore J, Chakraborty M, Ray PC, Ingle GK. Prevalence of Risk Factors for Chronic Non-communicable Diseases Using WHO Steps Approach in an Adult Population in Delhi. J Family Med Prim Care. 2014 Apr;3(2):112-8. doi: 10.4103/2249-4863.137617. PubMed PMID: 25161966; PubMed Central PMCID: PMC4139989.[PubMed]

Kumar C, Dobhal P, Kashyap A. Prevalence and pattern of risk factors for non-communicable diseases in urban population of Jaipur, Rajasthan. Int J Community Med Public Health. 2019;6(7):3107-12

Toppo NA, Gupta V, Kasar P, Thakur A, Pandey D. Diabetes Prevalence and Its Association with IDRS among Patients’ Attendees of Tertiary Care Centre of Jabalpur District of Madhya Pradesh. Int J Innov Res Med Science. 2017;2(4):644-9

Dudeja P, Singh G, Gadekar T, Mukherji S. Performance of Indian Diabetes Risk Score (IDRS) as screening tool for diabetes in an urban slum. Med J Armed Forces India. 2017;73(2):123-8

Mamtani MR, Kulkarni HR. Predictive performance of anthropometric indexes of central obesity for the risk of type 2 diabetes. Arch Med Res. 2005; 36:581–9

Dudeja P, Singh G, Gadekar T, Mukherji S. Performance of Indian Diabetes Risk Score (IDRS) as screening tool for diabetes in an urban slum. Med J Armed Forces India. 2017 Apr;73(2):123-128. doi: 10.1016/j.mjafi.2016.08.007. Epub 2016 Oct 18. PubMed PMID: 28924311; PubMed Central PMCID: PMC5592265.[PubMed]

Khan MM, Sonkar GK, Alam R, Mehrotra S, Khan MS, Kumar A, Sonkar SK. Validity of Indian Diabetes Risk Score and its association with body mass index and glycosylated hemoglobin for screening of diabetes in and around areas of Lucknow. J Family Med Prim Care. 2017 Apr-Jun;6(2):366-373. doi: 10.4103/2249-4863.220010. PubMed PMID: 29302549; PubMed Central PMCID: PMC5749088.[PubMed]

Singh A, Acharya AS, Dhiman B. Shared risk factors of non-communicable diseases: A community-based study among adults in an urban resettlement colony of Delhi. Indian J Community Fam Med. 2018; 4:42-8

Radha V, S Kanthimathi S, Mohan V. Genetics of Type 2 diabetes in Asian Indians. Diabetes Manage. 2011;1(3):309-24

Huebschmann AG, Huxley RR, Kohrt WM, Zeitler P, Regensteiner JG, Reusch JEB. Sex differences in the burden of type 2 diabetes and cardiovascular risk across the life course. Diabetologia. 2019 Oct;62(10):1761-1772. doi: 10.1007/s00125-019-4939-5. Epub 2019 Aug 27. Review. PubMed PMID: 31451872; PubMed Central PMCID: PMC7008947.[Pubmed]

Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012 Nov;55(11):2895-905. PubMed PMID: 22890825.[PubMed]?

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