Age-specific prevalence and predictors of tobacco consumption among male adults in India: subnational inequality and associated risk factors

Hasan, Md Masud and Quazi, Ali and Sarangapani, Nivarthi and Alam, Khorshed ORCID: https://orcid.org/0000-0003-2232-0745 (2021) Age-specific prevalence and predictors of tobacco consumption among male adults in India: subnational inequality and associated risk factors. Journal of Public Health. pp. 1-11. ISSN 2198-1833


Abstract

Objectives:
This study aimed to identify regional inequalities in the prevalence and comparison of the correlates of tobacco consumption among male Indian adults across age cohorts.

Methods:
Associations between explanatory variables and the prevalence of tobacco consumption are determined using bivariate and multivariable binary logistic regression analyses. This study utilizes information from 112,122 male adults collected through the cross-sectional and population-based National Family Health Survey in India conducted in 2015–2016.

Results:
Tobacco consumption prevalence was higher among older men from the North-east region (72.6%, confidence interval [CI]: 70.4%–74.8%) and relatively lower among younger men from the South region (8.3%, CI: 7.5%–9.3%). A significant association between educational attainment and tobacco consumption was observed in middle-aged men. For the model fitted to the respondents of this age group, compared to more highly educated males, those with secondary, primary and no institutional education were 1.21 (odds ratio [OR]: 2.21; CI: 2.03–2.42), 3.01 (OR: 4.01; CI: 3.53–4.55) and 2.63 (OR: 3.63; CI: 3.16–4.17) times as likely to consume tobacco, respectively. Among respondents aged 15–19 years, those involved in physical labour were 3.31 (OR: 4.31; CI: 3.66–5.07) times as likely to consume tobacco as those not engaged in paid work.

Conclusions and policy implications:
The research recommends designing dynamic interventional programmes to replace uniformly implemented tobacco control measures adopted in contemporary India. Special interventions are suggested for high-risk target groups, including for the North-east region, for those with lower levels of educational attainment, those from schedule caste background and younger males involved in physical paid work. Tobacco control measures in India are usually framed and implemented for the national population as a whole and without much focus on socio-economic inequalities and regional disparities. This study adds value to the growing body of literature through identifying the inequalities in the prevalence and correlates of tobacco consumption across the country’s geographically distributed regions and among the male respondents across the age cohorts.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published online: 20 March 2021. Permanent restricted access to ArticleFirst version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions - Centre for Health Research (1 Apr 2020 -)
Date Deposited: 14 Sep 2021 23:52
Last Modified: 20 Sep 2021 04:50
Uncontrolled Keywords: logistic regression; prevalence and predictors; regional inequality; tobacco consumption
Fields of Research (2008): 16 Studies in Human Society > 1603 Demography > 160399 Demography not elsewhere classified
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified
14 Economics > 1402 Applied Economics > 140208 Health Economics
14 Economics > 1403 Econometrics > 140301 Cross-Sectional Analysis
Fields of Research (2020): 38 ECONOMICS > 3801 Applied economics > 380108 Health economics
38 ECONOMICS > 3802 Econometrics > 380201 Cross-sectional analysis
42 HEALTH SCIENCES > 4206 Public health > 420699 Public health not elsewhere classified
Socio-Economic Objectives (2008): B Economic Development > 91 Economic Framework > 9102 Microeconomics > 910209 Preference, Behaviour and Welfare
C Society > 92 Health > 9205 Specific Population Health (excl. Indigenous Health) > 920504 Men's Health
C Society > 95 Cultural Understanding > 9504 Religion and Ethics > 950499 Religion and Ethics not elsewhere classified
Socio-Economic Objectives (2020): 20 HEALTH > 2004 Public health (excl. specific population health) > 200407 Health status (incl. wellbeing)
15 ECONOMIC FRAMEWORK > 1505 Microeconomics > 150509 Preference, behaviour and welfare
20 HEALTH > 2004 Public health (excl. specific population health) > 200413 Substance abuse
Identification Number or DOI: https://doi.org/10.1007/s10389-021-01507-z
URI: http://eprints.usq.edu.au/id/eprint/43662

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