Geographical variation in prevalence of non-communicable diseases (NCDs) and its correlates in India: evidence from recent NSSO survey
- 117 Downloads
This study examines the geographical variation in prevalence of non-communicable diseases (NCDs) and its correlates in India.
Subjects and methods
The study has used data from recent NSSO (71st Round, 2014) survey. Simple bivariate analyses are used to calculate the prevalence rate of NCDs per thousand persons. Binary logistics regression is applied to examine the effects of demographic and socioeconomic variables on the prevalence of NCDs.
The overall prevalence of NCDs, reported by the respondent, is 55/1,000 people in India, and it varies across all geographical regions. The southern region shows highest prevalence of NCDs (107/1,000) and the north east region is the lowest prevalence of NCDs (11/1,000). The prevalence of NCDs varies with the socio-demographic characteristics of respondents, where the prevalence of NCDs is much higher among people above 60+ years (i.e. 419/1,000 for the southern region and also for other regions) than corresponding categories. The prevalence of NCDs is high among urban residency, female, ever married women, other ethnicities, other religions, and affluent groups excluding level of education. Similarly, the logistic regression result shows that age, sex, place of residence, ethnicity, religion, and income status of respondent have statistically significant impact on NCDs and is more susceptible to having NCDs across the geographical regions of the country.
The study highlights the need to develop proper surveillance and monitoring programmes to focus on highly affected geographical regions to arrest the growing burden of NCDs.
KeywordsNon-communicable diseases (NCDs) Low-income country (LMICs) NSSO Geographical regions
This research study is not funded by any funding agency in the public, commercial or not-for-profit sectors.
Compliance with ethical standards
The data used for the study considered all the ethical issues while collecting information and it is available online in the public domain. This research paper was not published previously and not submitted elsewhere.
Conflict of interest
The authors declare that there is no conflict of interest.
- Mariotti S, Capocaccia R, Farchi G, Menotti A, Verdecchia A, Keys A (1986) Age, period, cohort and geographical area effects on the relationship between risk factors and coronary heart disease mortality: 15-year follow-up of the European cohorts of the seven countries study. J Chronic Dis 39(3):229–242CrossRefPubMedGoogle Scholar
- Meshram II, Rao MVV, Rao VS, Laxmaiah A, Polasa K (2016) Regional variation in the prevalence of overweight/obesity, hypertension and diabetes and their correlates among the adult rural population in India. Br J Nutr 115(7):1265–1272. https://doi.org/10.1017/S0007114516000039 CrossRefPubMedGoogle Scholar
- Miranda JJ, Bernabe-Ortiz A, Smeeth L, Gilman RH, Checkley W, CRONICAS Cohort Study Group (2012) Addressing geographical variation in the progression of non-communicable diseases in Peru: the CRONICAS cohort study protocol. BMJ Open 2(1):e000610. https://doi.org/10.1136/bmjopen-2011-000610 CrossRefPubMedPubMedCentralGoogle Scholar
- Muggah E, Graves E, Bennett C, Manuel DG (2013) Ascertainment of chronic diseases using population health data: a comparison of health administrative data and patient self-report. BMC Public Health. https://doi.org/10.1186/1471-2458-13-16
- Pool I, Wong LR, Vilquin E (2006) (eds) Age–structural transitions: challenges for development. A seminar paper series published by Committee for International Cooperation in National Research in Demography (CICRED), Paris, pp 1–385Google Scholar
- Population Matters and Policy Brief (2000) Policy and health in Asia: demographic and epidemiologic transitions. A RAND program of policy-relevant research communication. Population Matters, LondonGoogle Scholar
- Sugathan TN, Soman CR, Sankaranarayanan K (2008) Behavioural risk factors for non communicable diseases among adults in Kerala, India. Ind J Med Res 127(6):555–563Google Scholar
- Upadhyay RP (2012) An overview of the burden of non-communicable diseases in India. Iranian J Publ Health 41(3):1–8Google Scholar
- Van Minh H, Ng N, Juvekar S, Razzaque A, Ashraf A, Hadi A, Byass P (2008) Self-reported prevalence of chronic diseases and their relation to selected sociodemographic variables: a study in INDEPTH Asian sites, 2005. Prev Chronic Dis 5(3): A86Google Scholar
- World Health Organization (2010) Global status report on non-communicable diseases. WHO, GenevaGoogle Scholar