ArticleTobacco induced diseases2020
Predictors of current tobacco smoking by adolescents in Nigeria: Interaction between school location and socioeconomic status.
Article in Tobacco induced diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses 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
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review and meta-analysis of factors associated with adolescent substance use in Africa, 2000 to 2020.Addiction (Abingdon, England) · 2025Pooled it
- Tobacco use and behaviour among South African adolescents and young adults: systematic review and meta-analysis.BMJ open · 2024Pooled it
- Substance use among young people in sub-Saharan Africa: a systematic review and meta-analysis.Frontiers in psychiatry · 2024Pooled it
- Tobacco Smoking and Cardiovascular Health in Africa: Trends, Interventions, and Policy Implications-A Narrative Review.Health science reports · 2026Article
- Feasibility, Acceptability, and Utility of the Keepin' It REAL Program for Preventing Adolescent Substance Use in Nigeria.Journal of prevention (2022) · 2026Article
- Secondhand smoke exposure and current tobacco and/or nicotine use among adolescents in Kenya and Nigeria: a survey-weighted inverse probability weighting analysis.BMJ public health · 2026Article
- Assessment of carbon monoxide in exhaled breath using smokerlyzer among in-school adolescents in Osun State: A cross sectional study.PloS one · 2026Article
- Spatial and Economic Proximity of Cigarette Products to School Children in Mongolia.Tobacco use insights · 2025Article
- Lifestyle Behaviors of Childhood and Adolescence: Contributing Factors, Health Consequences, and Potential Interventions.American journal of lifestyle medicine · 2024Review
- Prevalence and Associated Factors of Cigarette Smoking among South African Adolescents and Young Adults: A Systematic Review and Meta-Analysis Protocol.Methods and protocols · 2023Article
- Modeling of smoking intensity by age at smoking onset among Iranian adult male using generalized additive model.Scientific reports · 2022Article
- Predictors of smoking initiation among Thai adolescents from low-income backgrounds: A case study of Nakhon Pathom low-cost housing estates.Tobacco induced diseases · 2022Article
- PREVALENCE AND PREDICTORS OF CIGARETTE SMOKING AND ALCOHOL USE AMONG SECONDARY SCHOOL STUDENTS IN NIGERIA.Annals of Ibadan postgraduate medicine · 2021Article
- Profile and predictors of adolescent tobacco use in Ghana: evidence from the 2017 Global Youth Tobacco Survey (GYTS).Journal of preventive medicine and hygiene · 2021Article
- The Negative Impact of Parental Smoking on Adolescents' Health-Promoting Behaviors: A Cross-Sectional Study.International journal of environmental research and public health · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTobacco smoking is the largest preventable cause of global mortality, with its prevalence increasing in Sub-Saharan Africa, particularly among adolescents. We sought to determine the factors associated with tobacco smoking among Nigerian school adolescents and investigate the interaction between school location and socioeconomic status (SES).
methodsUsing a cross-sectional study design, 4332 eighth to tenth grade students in rural and urban secondary schools in Enugu State, Nigeria, were selected by stratified two-stage cluster sampling. We collected data using a modified Global Youth Tobacco Survey (GYTS) Core Questionnaire. Outcome measures were current smoking of cigarettes and other smoked tobacco. Multilevel mixed effects logistic regression models were used to determine factors associated with current tobacco smoking and were considered statistically significant at p<0.05.
resultsPrevalences of current smoking of cigarettes and other smoked tobacco were 13.3% (95% CI: 11.3-15.7) and 5.8% (95% CI: 4.6-7.2), respectively. Possession of higher weekly allowance, exposure to secondhand smoke or tobacco advertisements, having smoking parents, friends or classmates who smoke, and sale of cigarettes near school, were positively associated with current smoking of tobacco. Female sex, having both parents employed and being exposed to tobacco teaching in school were negatively associated with current cigarette smoking while increasing age and high father's SES were negatively associated with current smoking of other tobacco products. There was an interaction between school location and father's SES in the association with cigarette smoking. The higher odds of smoking in rural versus urban schools were much higher for students with fathers of high SES compared to low SES. In rural schools, high SES was associated with higher odds of smoking, but in urban schools low SES was associated with higher odds of smoking.
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.