Geographical variation in prevalence of non-communicable diseases (NCDs) and its correlates in India: evidence from recent NSSO survey

摘要

Aim 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. Results 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. Conclusion 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.