Evidence map›Paper›PMID 40859239›Full record

ArticleBMC public health2025

Tobacco use patterns and associated factors among youth in Kampala's informal settlements: a cross-sectional study in Bwaise.

Nakitende Joyce, Anthony Kirabira, Adelaine Aryaija-Karemani, Nazarius Mbona Tumwesigye

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Article in BMC public health, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nakitende JoyceDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda. jnakitende20@gmail.com.
Anthony KirabiraDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
Adelaine Aryaija-KaremaniDepartment of Health Policy and Planning, School of Public Health, Makerere University, Kampala, Uganda.
Nazarius Mbona TumwesigyeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213Fogarty International Center of the National Institutes of Health 1R25TW011213
6 · The paper itself

Abstract

backgroundTobacco use remains a major global public health challenge, in Uganda it is notably higher among the youth, especially those in informal settlements. Despite periodic national surveys, recent data on this high-risk group is scarce. In this study, we aimed to assess tobacco use patterns and associated factors among the youth in informal settlements, focusing on daily tobacco smoking and smokeless tobacco use.

methodsWe conducted a cross-sectional study using secondary data from the ‘Motivators of persistent tobacco use and cessation barriers: A mixed methods study among the youth in Bwaise slum, Kampala, Uganda’. The data was collected from March to April 2021. The dataset included responses from 422 youth aged 18–30 years living in Bwaise, an informal settlement in Uganda. Modified Poisson regression models with robust standard errors were applied to identify factors associated with daily tobacco smoking and the use of smokeless tobacco.

resultsOf the 422 respondents, 160 (37.9%) reported daily tobacco smoking, while 69 (16.4%) used smokeless tobacco. The majority were male (58.8%). The most smoked product was ‘Kibanga,’ with 71.3% daily smokers reporting its use. Factors significantly associated with daily tobacco smoking included being male (adj. PR = 1.68; 95% CI: 1.27–2.23), being aged 21–30 years (adj. PR = 1.72; 95% CI: 1.28–2.33), having education below secondary level (adj. PR = 0.69; 95% CI: 0.56–0.87), being from central Uganda (adj. PR = 0.64; 95% CI: 0.46–0.89), and lacking awareness that smoking causes serious illness (adj. PR = 1.50; 95% CI: 1.11–2.03), heart attacks (adj. PR = 1.49; 95% CI: 1.11–4.83), and lung cancer (adj. PR = 1.71; 95% CI: 1.25–2.35). Smokeless tobacco use was significantly associated with being aged 21–30 years (adj. PR = 1.75; 95% CI: 1.04–2.96) and not believing that smokeless tobacco causes heart attacks or serious illness (adj. PR = 3.02; 95% CI: 1.87–4.87).

conclusionThis study provided data on patterns of tobacco use, mainly daily tobacco smoking and smokeless tobacco use among youths in informal settlements. Our findings highlight the need for targeted interventions directed at males aged 21–30 years, individuals with lower levels of education, and youth residing in central Uganda. Additionally, public health strategies should prioritize addressing misinformation and increasing awareness about the health risks associated with tobacco use.

Indexed as

Poverty AreasTobacco, SmokelessTobacco UseAdolescentAdultCross-Sectional StudiesFemaleHumansMaleRisk FactorsUgandaYoung AdultDaily tobacco smokingInformal settlementsKibangaSmokeless tobacco useTobacco use patternsYouth

Identifiers

PMID40859239
PMCPMC12379309

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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.