Association of risk factors of type 2 diabetes mellitus and fasting blood glucose levels among residents of rural area of Delhi: a cross sectional study

Authors

  • Mrinmoy Adhikary Department of Community Medicine, Murshidabad Medical College and Hospital, West Bengal
  • Vinoth Gnana Chellaiyan Department of Community Medicine, 2Chettinad Hospital & Research Institute, Kelambakkam, Chennai, TamilNadu
  • Ranadip Chowdhury Department of Community Medicine, RG Kar Medical College, Kolkata, West Bengal, India
  • Shailaja Daral Department of Community Medicine, VMMC & Safdarjung Hospital, NewDelhi
  • Neha Taneja Department of Community Medicine, St. Stephens Hospital, NewDelhi
  • Timiresh Kumar Das Department of Community Medicine, VMMC & Safdarjung Hospital, NewDelhi

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20171315

Keywords:

Type 2 diabetes, Sedentary behaviour, Risk factors, Rural population

Abstract

Background: Diabetes mellitus has reached epidemic proportions globally. India has largest number of diabetic population constituting major proportion worldwide. The epidemic of diabetes in India is due to the rapid epidemiological transition attributed to changes in dietary patterns and decreased physical activity apart from the role of genetic factors in the disease causation. The objectives of the study was to assess the risk factors of type 2 diabetes and to find the relation between risk factors of type 2 diabetes and fasting capillary blood glucose level among the study population.

Methods: A cross sectional community based study was carried out using a semi structured, pretested, questionnaire among 432 study subjects aged 30 years and above in a randomly selected sahoorpur village under Fatehpur Beri primary health centre. The study duration was from March 2011 to February 2012. Means and proportions were calculated. Multivariate logistic regression was applied.

Results: The mean (SD) age of the study population was 45 (±11.9) years. Positive family history of Diabetes was present in 14.4% of study population. History of smoking and alcohol was found in 37.5% and 8.3% respectively. Prevalence of overweight and obesity was 48.8% and 17.2% respectively. Regression showed age more than 60 years (OR 1.135, 95% CI 0.037 – 0.492), family history of diabetes (OR 4.181, 95% CI 1.734 – 10.083), higher waist circumference (OR 13.414, 95% CI 4.991 – 36.051), sedentary work (OR 3.133, 95% CI 0.032 – 0.592), obesity (OR 4.709, 95% CI 1.790 – 12.394) had higher odds of having higher fasting capillary blood glucose level.

Conclusions: The study found a higher prevalence of risk factors among the study population. Risk factors showed a significant relation with higher fasting capillary blood glucose. There is a mandate for health education to motivate change in lifestyle modification among the study population. 

References

Non-communicable Diseases Risk Factor Surveillance in South-East Asia Region Report of a Workshop Bali, Indonesia 10- 13 June 2003.

World Health Organisation. Global Health estimates: Deaths by cause, age, sex and country, 2000-12. Geneva, WHO, 2014. Available from: www.who.int/mediacentre/factsheets/fs312/en/. Accessed on 5th June 2016.

International Diabetes Federation. Diabetes atlas 2000. Brussels: IDF, 2000.

Huxley R, Barzi F, Woodward M. Excess risk of fatal coronary heart disease associated with diabetes in men and women: meta-analysis of 37 prospective studies. BMJ. 2006;332:73–8.

Groop L, Forsblom C, Lehtovirta M, Tuomi T, Karanko S, Nissén M, et al. Metabolic consequences of a family history of NIDDM (the Botnia study): evidence for sex-specific parental effects. Diabetes. 1996;45:1585–93.

Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T, et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med. 2008;359:2220–32.

Lyssenko V, Almgren P, Anevski D, Perfekt R, Lahti K, Nissén M, et al. Botnia study group. Predictors of and longitudinal changes in insulin sensitivity and secretion preceding onset of type 2 diabetes. Diabetes 2005;54:166–174pmid:15616025

Kaprio J, Tuomilehto J, Koskenvuo M, Romanov K, Reunanen A, Eriksson J, et al. Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 1992;35:1060–7.

Joshi R. Metabolic syndrome - Emerging clusters of the Indian phenotype. J Assoc Physicians India. 2003;51:445-6.

Deepa R, Sandeep S, Mohan V. Abdominal obesity, visceral fat and type 2 diabetes- “Asian Indian phenotype. In: Mohan V, Rao GHR, editors. Type 2 diabetes in South Asians: Epidemiology, risk factors and prevention. New Delhi: Jaypee Brothers Medical Publishers (P) Ltd; 2006: 138-52.

The global burden of disease: 2004 update. Geneva, World Health Organization, 2008.

Misra A, Pandey RM, Devi JR, Sharma R, Vikram NK, Khanna N. High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India. Int J Obes Relat Metab Disord. 2001;25:1722-9.

Anjana RM, Ali MK, Pradeepa R, Deepa M, Datta M, Unnikrishnan R, et al. The need for obtaining accurate nationwide estimates of diabetes prevalence in India - rationale for a national study on diabetes. Indian J Med Res. 2011;133:369–80.

Majgi SM, Soudarssanane BM, Roy G, Das AK. Risk Factors of Diabetes Mellitus in Rural Puducherry. J Health Allied Sc. 2012;11(1):4.

Vijayakumar G, Arun R, Kutty VR. High prevalence of type 2 diabetes mellitus and other metabolic disorders in rural central Kerala. J Assoc Physicians India. 2009;57:2-4.

Prabhakaran D, Chaturvedi V, Ramakrishnan L, Jeemon P, Shah P, Snehi U, et al. Risk factors related to the development of diabetes in men working in a north Indian industry. Natl Med J India. 2007;20(1):4–10.

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;53:12-3.

Anand K, Shah B, Yadav K, Singh R, Mathur P, Paul E, et al. Are the urban poor vulnerable to non-communicable diseases? A survey of risk factors for non-communicable diseases in urban slums of Faridabad. Natl Med J India. 2007;20:115–20.

Ahmad J, Ahmad M, Ashraf M, Rashid R, Ahmad R, et al. Prevalence of Diabetes Mellitus and Its Associated Risk Factors in Age Group of 20 Years and Above in Kashmir, India. Al Ameen J Med Sci. 2011;4(1):3–4.

Nazil M, Quazi ZS, Gaidhane AM, Waghmare TS, Goyal RC. Risk factors of type-2 diabetes mellitus in rural Wardha: A community based study. Int J Diabetes Dev Ctries. 2008;28(3):79–82.

Prasad DS, Kabir Z, Dash AK, Das BC. Prevalence and risk factors for diabetes and impared glucose tolerance in Asian Indians: a community survey from urban Eastern India. Diabetes Metab Syndr. 2012;6(2):96–101.

Risk factors surveillance for non-communicable diseases (NCDs): the multisite ICMR-WHO collaborative initiative. http://www.globalforum

health.org/-filesapld/forum 9. Accessed on 23rd November 2006

Ajay VS, Prabhakaran D, Jeemon P. Prevalence and determinants of diabetes mellitus in the Indian industrial population. Diabet Med. 2008;25(10):1187-94.

DucSon LN, Kusama K, Hung NT, Loan TT, Chuyen NV, Kunii D, et al. Prevalence and risk factors for diabetes in Ho Chi Minh City, Vietnam. Diabet Med. 2004;21(4):371-6.

Leeal HY, Kim JH, Kim BO, Byun YS, Cho S, Goh CW, et al. Urban – rural difference in the prevalence and associated risk factors of Type 2 Diabetes mellitus in Korean adults. Intenl J Cardiology. 2012;32:22-9.

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Published

2017-03-28

How to Cite

Adhikary, M., Chellaiyan, V. G., Chowdhury, R., Daral, S., Taneja, N., & Das, T. K. (2017). Association of risk factors of type 2 diabetes mellitus and fasting blood glucose levels among residents of rural area of Delhi: a cross sectional study. International Journal Of Community Medicine And Public Health, 4(4), 1005–1010. https://doi.org/10.18203/2394-6040.ijcmph20171315

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Original Research Articles