Evidence map›Paper›PMID 42877677›Full record

ArticleBMJ public health2026

Secondhand smoke exposure and current tobacco and/or nicotine use among adolescents in Kenya and Nigeria: a survey-weighted inverse probability weighting analysis.

Grace Kyule, Shukri F Mohamed, Lyagamula Kisia, Olatunbosun Abolarin, Uche Okezie, Nelson Mbaya, Akinsewa Akiode, Thompson Ademola, James Kavai, Franklin Koech and 3 more

Abstract read
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Article in BMJ public health, 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

What it found

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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

13 authors.

Grace KyuleAfrican Population and Health Research Center, Nairobi, Kenya.ORCID https://orcid.org/0009-0008-9721-6866
Shukri F MohamedAfrican Population and Health Research Center, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-8693-1943
Lyagamula KisiaAfrican Population and Health Research Center, Nairobi, Kenya.
Olatunbosun AbolarinAPIN Public Health Initiatives, Abuja, Nigeria.
Uche OkezieAPIN Public Health Initiatives, Abuja, Nigeria.
Nelson MbayaAfrican Population and Health Research Center, Nairobi, Kenya.
Akinsewa AkiodeResearch and Communications Services (RCS), Abuja, Nigeria.
Thompson AdemolaResearch and Communications Services (RCS), Abuja, Nigeria.
James KavaiAfrican Population and Health Research Center, Nairobi, Kenya.
Franklin KoechAfrican Population and Health Research Center, Nairobi, Kenya.
Bosco OkumuAfrican Population and Health Research Center, Nairobi, Kenya.
Damazo T KadengyeAfrican Population and Health Research Center, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-7586-4928
Samuel IddiDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Secondhand smoke (SHS) exposure is associated with adolescent tobacco and nicotine use but nationally representative evidence from sub-Saharan Africa is limited. We examined this association among adolescents in Kenya and Nigeria using survey-weighted inverse probability weighting. Methods: We analysed cross-sectional data from the 2024 Data on Youth Tobacco in Africa household survey of adolescents aged 10-17 years in Kenya (n=6435) and Nigeria (n=7502). SHS exposure was self-reported. Current use of any tobacco and/or nicotine product was self-reported past-30-day use of cigarettes, roll-your-own tobacco, shisha, smokeless tobacco, heated tobacco products, e-cigarettes or nicotine pouches. We estimated the average treatment effect (ATE) and average treatment effect on the treated (ATT), adjusting for age, sex, residence, school attendance, adolescent employment, household head education, household size, wealth and country in pooled analyses. We assessed effect modification by country and conducted regression, location-specific and E-value sensitivity analyses. Results: Overall, 38.2% reported SHS exposure and 3.1% reported current use; 72.1% of current users were boys. Current use was more common among SHS-exposed than unexposed adolescents (4.4% vs 2.4%). In pooled analyses, SHS exposure was associated with a 2.65 percentage-point higher probability of current use (ATE: +2.65 pp; 95% CI 1.46 to 3.83); the ATT was 2.42 percentage points (95% CI 1.35 to 3.49). The ATE was larger in Nigeria (+3.94 pp; 95% CI 1.95 to 5.93) than Kenya (+1.32 pp; 95% CI 0.19 to 2.45), with evidence of effect modification (interaction p=0.019). Sensitivity analyses were consistent, although unmeasured confounding remains possible. Conclusions: SHS exposure was associated with a higher probability of adolescent tobacco and/or nicotine use. Because exposure and outcome were measured cross-sectionally, temporality and causality cannot be established. Strengthening smoke-free policies may help reduce adolescent SHS exposure and tobacco and/or nicotine use.

Indexed as

AdolescentCausalityCross-Sectional StudiesPublic Health

Identifiers

PMID42877677
PMCPMC13663890

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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 Socratic graph.