A cross sectional study, for risk assessment of non-communicable disease in urban slum of South India
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20231271Keywords:
Non communicable diseases, Underprivileged population, Urban slumAbstract
Background: Non communicable diseases (NCDs) contribute to around 5.87 million deaths that account for 60% of all deaths in India. India shares more than two-third of the total deaths due to NCDs in the south-east Asia region (SEAR) of WHO. Objective was to monitor the trends and determinants of non-communicable diseases (NCDs) in the study population in slum of Telangana.
Methods: The cross-sectional community-based study, was conducted in the urban field practice area of Apollo Institute of Medical Sciences and Research, Hyderabad. Sample size was estimated, data was collected in WHO STEPS questionnaire (STEP 1 and STEP 2) after obtaining informed consent from the participants. The performa included anthropometric measurements, blood pressure and questions related to tobacco use, alcohol consumption, dietary pattern, physical exercise. Microsoft Excel 2007 was used for data entry, SPSS version 24 for data analysis.
Results: Tobacco smoking use in any form was seen in 22.1% males of the study population and 1.8% of females. The means waist hip ratio amongst male is 0.92 cm. The mean waist hip ratio amongst 113 voluntary participants was 0.89.
Conclusions: NCDs in the urban slum that requires appropriate early actions to prevent risk factors, reducing the disease burden. Health education among households through behaviour change, formulation and implementation of health policy for urban slums will go a long way in lessening the burden.
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References
Burden of NCDs and their risk factors in India
(Excerpted from Global Status Report on NCDs -2014). Available from: http://www.searo.who.int/india/topics/noncommunicable_diseases/ncd_situation_global_report_ncds_20 14.pdf. Accessed on 1 June 2020.
Ezzati M, Utzinger J, Cairncross S, Cohen AJ, Singer BH. Environmental risks in the developing world: exposure indicators for evaluating interventions, programmes, and policies. J Epidemiol Community Health. 2005;59(1):15-22.
Garg A, Anand T, Sharma U, Kishore J, Chakraborty M, Ray PC, et al. Prevalence of risk factors for chronic non-communicable diseases using who steps approach in an adult population in Delhi. Journal of family medicine and primary care. 2014 Apr;3(2):112.
Noncommunicable Disease Surveillance, Monitoring and Reporting. STEPwise approach to NCD risk factor surveillance (STEPS). Available from: https://www.who.int/teams/noncommuni-cable-diseases/surveillance/systems-tools/steps. Accessed on 1 June 2020.
Connolly BS, Barnett C, Vogt K, Li T, Stone J, Boyd N. A meta-analysis of published literature on waist-to-hip ratio and risk of breast cancer. Nutr Cancer. 2002;44:127-38.
Misganaw A, Mariam DH, Araya T. The double mortality burden among adults in Addis Ababa, Ethiopia, 2006-2009. Prev Chronic Dis. 2012;9.
Wei M, Gaskill SP, Haffner SM, Stern MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans- a 7-year prospective study. Obes Res. 1997;5:16-23.
Jansses I, Katzmarzyk PT, Ross P. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004;79:379-84.