ArticleTobacco induced diseases2018
Tobacco use: prevalence, pattern, and predictors, among those aged 15-49 years in Nigeria, a secondary data analysis.
Article in Tobacco induced diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- National, regional, and global prevalence of cigarette smoking among women/females in the general population: a systematic review and meta-analysis.Environmental health and preventive medicine · 2021Pooled it
- Tobacco Use and Associated Factors Among Men in Tanzania: Further Analysis of the 2022 Tanzania Demographic and Health Survey Data.Tobacco use insights · 2024Article
- Prevalence, patterns and correlates of smokeless tobacco use in Nigerian adults: An analysis of the Global Adult Tobacco Survey.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTobacco 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.
methodsA 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.
resultsGenerally, 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).
conclusionsA 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.