Assessment of diabetes risk among adult population using Indian diabetes risk score and to correlate with actual capillary blood sugar level: a cross sectional study

Authors

  • Abhinav Gangwar Department of Community Medicine, UP University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
  • Dhiraj Kumar Srivastava Department of Community Medicine, UP University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
  • Sandip Kumar Department of Community Medicine, UP University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
  • Sushil Kumar Shukla Department of Community Medicine, UP University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
  • Divyata Sachan Department of Community Medicine, SMMH Medical College, Saharanpur, Uttar Pradesh, India
  • Vashishtha Megha Department of Periodontology (Dentistry), UP University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20234118

Keywords:

Community based screening tool, Diabetes mellitus screening, Indian diabetes risk score

Abstract

Background: Diabetes is one of the fastest growing health challenges of the 21st century, with the number of adults living with diabetes having more than tripled over the past 20 years. IDRS is pre-screening tool for assessing diabetes mellitus. It is also a non-invasive procedure and less time consuming. Aim were to assess diabetes risk among adult urban population of district Etawah by using Indian Diabetes Risk Score and to correlate it with actual capillary blood sugar status.

Methods: The present study was a cross sectional study carried out among 200 adult urban non diabetic population the age group of 30 years and above. The data was collected using predesigned questionnaire followed by capillary blood sugar estimation. The data was collected under following broad heading: socio-demographic profile, Behavioural factor, Indian diabetes risk score and capillary blood sugar estimation.

Results: Majority of the participants were in the age group of 35-49 years and Hindu by religion. 62.5% gave history of fast food consumption, nearly half of the participants gave the history of moderate to heavy physical exercise. It was found that 89% of the participants fall under the category of intermediate and high risk category. On application of test of association between IDRS score and actual capillary blood sugar level, strong association exist between the two variables.

Conclusions: The present study concludes that IDRS is a powerful tool for screening of high risk group of diabetes. There is a strong association between capillary blood sugar and IDRS score.

References

Beard JR, Officer A, de Carvalho IA, Sadana R, Pot AM, Michel JP, et al. The World report on ageing and health: a policy framework for healthy ageing. Lancet. 2016;387(10033):2145-54.

Roglic G, others. WHO Global report on diabetes: A summary. Int J Noncommun Dis. 2016;1(1):3.

Agrawal S, Ebrahim S. Prevalence and risk factors for self-reported diabetes among adult men and women in India: findings from a national cross-sectional survey. Public Health Nutr. 2012;15(6):1065-77.

Khan MS, Khan Z, Amir A. Prevalence of self-reported diabetes mellitus in an urban population. Int J Med Sci Publ Heal. 2015;4:1369-72.

Brinda P, Santosh A. A study to determine the hidden part of the iceberg of diabetes, using Indian diabetes risk score as a screening tool in rural population of Bangalore, Karnataka, India. Int J Commu Med Publ Health. 2016;3(11):3076-80.

Prasad KN, others. A community based study on assessment of diabetes risk using Indian diabetic risk score. Nat J Commu Medi. 2019;10(06):361-4.

Saleem SM, Raina AF, Khan SM, Jan SS. Indian diabetic risk score-A tool for predicting risk of undiagnosed type 2 diabetes mellitus. Int J Curr Res Rev. 2017;9:39-42.

Nagalingam S, Sundaramoorthy K, Arumugam B. Screening for diabetes using Indian diabetes risk score. Int J Adv Med. 2016;3(2):415-8.

Oruganti A, Kavi A, Walvekar PR. Risk of developing diabetes mellitus among urban poor South Indian population using Indian diabetes risk score. J Family Med Prim Care. 2019;8(2):487.

Nandeshwar S, Jamra V, Pal DK. Indian diabetes risk score for screening of undiagnosed diabetic subjects of Bhopal city. Nat J Commu Medi. 2010;1(02):176-7.

Patel DN, Shah MC, Ahir GN, Amin D V, Singh MP. A study on validity of Indian Diabetes Risk Score (MDRF) for screening of diabetes mellitus among the high risk group (policemen) of diabetes mellitus of Bhavnagar city. Innov J Med Health Sci. 2012;2(5):109-11.

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. Ind J Endocrinol Metab. 2019;23(1):86.

Bharati DR, Pal R, Kar S, Rekha R, Yamuna TV, Basu M. Prevalence and determinants of diabetes mellitus in Puducherry, South India. J Pharm Bioallied Sci. 2011;3(4):513.

Valliyot B, Sreedharan J, Muttappallymyalil J, Valliyot SB. Risk factors of type 2 diabetes mellitus in the rural population of North Kerala, India: a case control study. Diabetol Croat. 2013;42(1).

Shrivastava SR, Ghorpade AG. High prevalence of type 2 diabetes melitus and its risk factors among the rural population of Pondicherry, South India. J Res Heal Sci. 2014;14(4):258-63.

Acharya AS, Singh A, Dhiman B. Assessment of diabetes risk in an adult population using Indian diabetes risk score in an urban resettlement colony of Delhi. J Assoc Phys India. 2017;65(3):46-51.

Oruganti A, Kavi A, Walvekar PR. Risk of developing diabetes mellitus among urban poor South Indian population using Indian diabetes risk score. J Family Med Prim Care. 2019;8(2):487.

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.

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Published

2023-12-30

How to Cite

Gangwar, A., Srivastava, D. K., Kumar, S., Shukla, S. K., Sachan, D., & Megha, V. (2023). Assessment of diabetes risk among adult population using Indian diabetes risk score and to correlate with actual capillary blood sugar level: a cross sectional study. International Journal Of Community Medicine And Public Health, 11(1), 151–156. https://doi.org/10.18203/2394-6040.ijcmph20234118

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Original Research Articles