Evidence map›Paper›PMID 41544040›Full record

ArticlePloS one2026

Longitudinal trends in vaping, smoking, and harmful alcohol use across sexual orientations in the UK (2014-2021).

Yihong Bai, Peiya Cao, Chungah Kim, Kristine Ienciu, Gwen Ehi, Antony Chum

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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

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Yihong BaiSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Peiya CaoSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Chungah KimSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Kristine IenciuSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Gwen EhiSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Antony ChumSchool of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-6756-7031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSexual minorities, including lesbian, gay, and bisexual individuals, often face higher substance use rates due to societal stressors. Recent societal changes, including the COVID-19 pandemic and rising hate crimes in the UK, may have impacted these disparities across sexual orientations. This study aims to examine changes in vaping, smoking, and alcohol use disparities across sexual orientations in the UK from 2014 to 2021.

methodData from the UK Longitudinal Household Survey (2014-2021) were analyzed, covering 42,052 participants aged 16 + . Sexual orientation categories included heterosexual, gay/lesbian, bisexual, and other sexual minorities. The outcomes were smoking, vaping, and harmful alcohol drinking. Longitudinal logit models with generalized estimating equations were used, adjusting for demographic factors. Predictive prevalences were calculated and used to examine the disparities between each sexual minority group and the heterosexual group over time.

resultsWe did not find consistent increases in substance use disparities across sexual orientation groups in the UK from 2014 to 2021. Small differences were observed among bisexual individuals who had a higher predicted prevalence of harmful alcohol drinking in 2019-2020 (~11-13% higher), while gay/lesbian individuals showed higher vaping prevalence in 2019 (~5% higher) than heterosexual individuals. For smoking, no disparities were observed.

conclusionUnlike prior studies that reported disparities, our longitudinal analysis found little to no evidence that sexual minorities had elevated or widening substance use disparities. While some subgroups exhibited elevated risks in specific years, these patterns were not sustained over time. Future research should explore how social stressors, policy contexts, and community norms interact to inform targeted, inclusive interventions that reflect the diversity within LGBTQ+ populations.

Indexed as

Alcohol DrinkingAlcoholismSexual and Gender MinoritiesSexual BehaviorSmokingVapingAdolescentAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceUnited KingdomYoung Adult

Identifiers

PMID41544040
PMCPMC12810789

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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.