Evidence map›Paper›PMID 41642789›Full record

ArticlePloS one2026

Predictors of tobacco smoking among youth in an urban slum in Kampala, Uganda: A cross-sectional study.

Joyce Nakitende, Anthony Kirabira, Mona Muhammad, Elizabeth Kisembo, Denis Omara, Dennis Kalibbala, Geofrey Musinguzi, Bontle Mbongwe

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Joyce NakitendeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0001-6539-6411
Anthony KirabiraDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0009-0001-8528-8570
Mona MuhammadInfectious Diseases Institute, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5091-843X
Elizabeth KisemboSchool of Health Sciences, Makerere University, Kampala, Uganda.
Denis OmaraMedical Research Council/ Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.ORCID https://orcid.org/0000-0001-7936-1754
Dennis KalibbalaGlobal Health Uganda, Kampala, Uganda.
Geofrey MusinguziDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University, Kampala, Uganda.
Bontle MbongweDepartment of Environmental Health, University of Botswana, Gaborone, Botswana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco use remains a significant public health concern worldwide. In Uganda, the youth use tobacco at almost three times the rate of adults, with those residing in slum areas exhibiting even higher prevalence levels. Since 2015, strict laws regulating public tobacco use have been implemented in Uganda, however, these measures have not led to a significant decline in tobacco consumption among the youths in slums.

objectiveTo assess the predictors of tobacco smoking among youth living in the slum areas of Kampala, Uganda.

methodsThis was a cross-sectional study. It was conducted in Bwaise slum in Kampala, we recruited 422 youths aged 18-30 years. Households were sampled systematically, and quantitative data were analyzed using STATA version 14. Modified Poisson regression with robust standard errors was used, prevalence ratios (PR) were used to measure the associations. Factors were considered significant if p-values were less than 0.05.

resultsThe prevalence of current tobacco smoking was 52.6% while the prevalence of ever tobacco smoking was 71.6%. Most of the participants (87.4%) knew the health effects of tobacco use. Gender (adj.PR = 1.74[95% CI = 1.41-2.14]) and age (adj.PR = 1.38[95%CI = 1.10-1.74]) were the strongest predictors of tobacco smoking: the prevalence of tobacco smoking was 74% higher among males compared to females and 38% higher among those aged 21-30 years compared to their younger counterparts. Education level (adj.PR = 0.84[95%CI = 0.70-0.9]), and income/= (adj.PR = 0.79[05%CI = 0.64-0.97) were also predictive of tobacco smoking. Knowledge was also a predictor with prevalence being 34%, 29%, 42% higher among those who didn't know that smoking causes serious illness (adj.PR = 1.34[95%CI = 1.09-1.64]), stroke (adj.PR = 1.29[95%CI = 1.06-1.59]) and lung cancer (adj.PR = 1.42[95%CI = 1.11-1.83]) respectively.

conclusionMore than half of the youth smoke tobacco despite awareness of its health effects. These findings call for development and implementation of targeted initiatives that address the unique needs and behaviors of males, aged 21-30 years, individuals of education below secondary level while addressing the knowledge gaps about effects of tobacco smoking on human health.

Indexed as

Poverty AreasTobacco SmokingAdolescentAdultCross-Sectional StudiesFemaleHumansMalePrevalenceUgandaUrban PopulationYoung Adult

Identifiers

PMID41642789
PMCPMC12875517

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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.