District-level epidemiology, hot spots and sociodemographic determinants of tobacco use in Indian men and women: analysis of national family health survey-4 (2015-16)

Public Health. 2021 May:194:127-134. doi: 10.1016/j.puhe.2021.03.001. Epub 2021 Apr 20.

Abstract

Objectives: To map district-level tobacco hot spots and understand the Sociodemographic Indices (SDI) influencing tobacco consumption in Indian men and women.

Study design: Cross-sectional study.

Methods: Tobacco use data from 640 districts of India were extracted from National Family Health Survey-4, carried out from 2015 to 2016 with a sample size of 103,411 men and 699,686 women. Geographic Information System was used to map the tobacco prevalence, and hot spots were identified by spatial statistics (Getis-OrdGi∗). SDI were studied by bivariate analyses and binary logistic regression.

Results: India has two major tobacco hot spots; one comprising the districts of North-Eastern states, excluding Sikkim, and the second cluster is formed by the districts of Central-Eastern states. These hot spots coincide well with demographic determinants: North-East (adjusted odds ratio [aOR] men, 5.74; aOR women, 13.54) and Central India (aOR men, 4.5; aOR women, 3.5) have higher odds of Tobacco consumption. In men, respondents with no education (aOR 2.52; 95% confidence interval [CI]: 2.26-2.81) and Muslims (aOR 3.53; 95% CI: 2.93-4.26) have higher odds of tobacco consumption. The poorest (men aOR, 2.06; 95% CI: 1.87-2.27; women aOR, 3.36: 95% CI: 2.69-4.19) and ST women (aOR 1.89; 95% CI: 1.68-2.13) have higher odds of tobacco consumption.

Conclusions: We have identified tobacco hot spots and detailed the SDI affecting tobacco use separately in men and women to guide public health policies for targeted intervention of tobacco consumption.

Keywords: NFHS-4; Spatial statistics; Tobacco epidemiology in India; Tobacco hot spots in India.

MeSH terms

  • Adolescent
  • Adult
  • Cross-Sectional Studies
  • Disease Hotspot*
  • Female
  • Health Surveys
  • Humans
  • India / epidemiology
  • Male
  • Middle Aged
  • Risk Factors
  • Sex Distribution
  • Spatial Analysis
  • Tobacco Use / epidemiology*
  • Young Adult