Back to browse results
Tobacco use: prevalence, pattern, and predictors, among those aged 15-49 years in Nigeria, a secondary data analysis
Authors: Elias C. Aniwada, Nwachinemere D. Uleanya, Edmund N. Ossai, Emmanuel A. Nwobi, and Michael Anibueze
Source: Tobacco Induced Diseases, 16(March):1-8; DOI 10.18332/tid/82926
Topic(s): Tobacco use
Country: Africa
Published: MAR 2018
Abstract: Introduction Tobacco use is a major global public health challenge. It is a risk factor for most leading causes of death, and its health impacts span from conception to adulthood. This study aims to analyse tobacco use data from the 2013 Nigerian Demographic and Health Survey (NDHS), assessing the prevalence, pattern, and socio-demographic correlates of tobacco use among Nigerians aged 15-49 years. Methods A secondary data analysis involving 2013 NDHS was done. Data on 17 322 respondents were extracted from 36 800 participants. This number represents respondents with complete data on outcome variables of interest. Primary Sampling Unit defined on the basis of Enumeration Areas from the 2006 census was used. Head of selected household, all men and women aged 15-49 were studied. Data was collected using questionnaires. A chi-squared test and a binary logistic regression model were used in the analysis. Results Generally, 6.6% of the respondents smoked cigarettes, 1.7% used snuff, 0.4% smoked pipe, and 0.2% chewed tobacco. Based on gender, 6.6% males and 6.3% females smoked cigarettes, 0.3% males and 0.4% females smoked cigarettes as well as used snuff. Predictors of cigarette use included being in age group 25- 34 years (AOR 5.8; 95% CI 4.6-7.2), being =35 years (AOR 4.1; 95% CI 4.1-6.8), having attained primary education (AOR 1.4; 95% CI 1.2-1.8), living in north region (AOR 1.3; 95% CI 1.1-1.5), as well as being a Moslem (AOR 0.6; 95% CI 0.5-0.7). Conclusions A minor proportion of both genders uses tobacco with the commonest form being cigarettes. The commonest combination was cigarettes and snuff, even on stratification by gender. The identified predictors were age in categories, educational level and religion.
Web: use_ prevalence_.pdf