Evidence map›Paper›PMID 40924722›Full record

ArticlePloS one2025

A nonlinear decomposition analysis of the rural-urban disparities in tobacco use among women in sub-Saharan Africa.

Richard Gyan Aboagye, Bright Opoku Ahinkorah, Irene Esi Donkoh, Joshua Okyere, Sanni Yaya

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Richard Gyan AboagyeSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-3498-2909
Bright Opoku AhinkorahFaculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.
Irene Esi DonkohDepartment of Medical Laboratory Science, University of Cape Coast, Cape Coast, Ghana.
Joshua OkyereDepartment of Allied Health Professions, Sport and Exercise, School of Human and Health Sciences, University of Huddersfield, Huddersfield, England, United Kingdom.
Sanni YayaThe George Institute for Global Health, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco use remains a major public health challenge in sub-Saharan Africa, with significant gendered dimensions. Place of residence is an important determinant, as rural and urban contexts shape exposure, access, and consumption patterns. This study investigates rural-urban disparities in tobacco use among women in sub-Saharan Africa, with a focus on quantifying the relative contributions of socioeconomic factors.

methodsWe conducted a pooled cross-sectional analysis using nationally representative data from the most recent Demographic and Health Surveys (DHS) of 22 sub-Saharan African countries (2015-2022). The study sample included 350,536 women aged 15-49 years with complete data on tobacco use and relevant covariates. Tobacco use was defined as self-reported current use of cigarettes or other tobacco products. We employed a multivariate decomposition for non-linear response models to quantify the contributions of group differences in characteristics versus differences in how those characteristics affect an outcome. This technique partitions the observed rural-urban gap in tobacco use into two components: (1) endowment effects (compositional differences in characteristics such as education, household wealth, age, marital status, and employment) and (2) coefficient effects (differences in the influence of these characteristics on tobacco use between rural and urban women). Models adjusted for sampling weights and survey design effects to ensure representativeness.

resultsCompositional differences explained 167.48% of the rural-urban disparity in women's tobacco use. Educational attainment and wealth index were the most significant contributors, both showing protective effects. If rural women's education and wealth levels matched those of urban women, tobacco use prevalence would be reduced by 24.99% and 49.84%, respectively. Differences in coefficients accounted for -67.48% of the observed gap, with baseline differences in intercepts (-166.17%) driving most of this effect. These findings highlight both structural disadvantages and variations in behavioural responsiveness across residential settings.

conclusionThe study demonstrates that rural-urban disparities in tobacco use among women are primarily shaped by inequalities in education and wealth. Interventions aimed at expanding educational opportunities and addressing poverty in rural communities could substantially reduce tobacco use. Additionally, tailored prevention and cessation strategies targeting women at both the lowest and highest ends of the socioeconomic spectrum are essential to mitigate disparities and advance tobacco control in sub-Saharan Africa.

Indexed as

Rural PopulationTobacco UseUrban PopulationAdolescentAdultAfrica South of the SaharaCross-Sectional StudiesFemaleHumansMiddle AgedSocioeconomic FactorsYoung Adult

Identifiers

PMID40924722
PMCPMC12419646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.