Evidence map›Paper›PMID 38718463›Full record

ArticleDrug and alcohol dependence2024

Perceived discrimination and youth vaping: The role of intersectional identities.

Candice D Donaldson, David A Stupplebeen, Elizabeth T Couch, Adrianna I Rojas, Omara Farooq, Xueying Zhang, Stuart A Gansky, Benjamin W Chaffee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Discrimination Distress and Current Combustible and Non-combustible Tobacco Product Use Among US Youth, 2023.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  4. Review
  5. Perspectives of Sexual and Gender Minority Youth on Anti-Vaping Messages in Social Media.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  6. Article
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

8 authors.

Candice D DonaldsonCalifornia Tobacco Prevention Program, California Department of Public Health, Sacramento, CA, USA. Electronic address: Candice.Donaldson@cdph.ca.gov.
David A StupplebeenCalifornia Tobacco Prevention Program, California Department of Public Health, Sacramento, CA, USA.
Elizabeth T CouchCenter for Tobacco Control Research and Education, University of California San Francisco, CA, USA; Division of Oral Epidemiology and Dental Public Health, University of California San Francisco, San Francisco, CA, USA.
Adrianna I RojasCalifornia Tobacco Prevention Program, California Department of Public Health, Sacramento, CA, USA.
Omara FarooqCalifornia Tobacco Prevention Program, California Department of Public Health, Sacramento, CA, USA.
Xueying ZhangCalifornia Tobacco Prevention Program, California Department of Public Health, Sacramento, CA, USA.
Stuart A GanskyCenter for Tobacco Control Research and Education, University of California San Francisco, CA, USA; Division of Oral Epidemiology and Dental Public Health, University of California San Francisco, San Francisco, CA, USA.
Benjamin W ChaffeeCenter for Tobacco Control Research and Education, University of California San Francisco, CA, USA; Division of Oral Epidemiology and Dental Public Health, University of California San Francisco, San Francisco, CA, USA.

Funding

PROJECT 5: IMPACT OF CHANGING TOBACCO PRODUCT USE ON HEALTHCARE COSTS FOR GENERAL AND VULNERABLE POPULATIONSU54HL147127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2018 to 2022
$20.4M
NHLBI NIH HHS U54 HL147127
6 · The paper itself

Abstract

introductionElectronic cigarettes (also termed e-cigarette or vapes) often contain nicotine, an addictive psychoactive substance, which can have harmful effects during adolescence. Frequent experiences of discrimination are one risk factor shown to increase susceptibility to tobacco use, especially for individuals that identify as a social minority. Applying Intersectionality Theory, this research examined the relationship between youth experiences of discrimination and vape use at the intersection of race/ethnicity and sexual orientation.

methodCross-sectional survey data from 4747 youth (ages 12-17) that participated in the 2022 Teens, Nicotine, and Tobacco Project (TNT) online survey were used to evaluate the impact of discrimination on vape use for lesbian, gay, bisexual, and/or queer/questioning (LGBQ+) youth of color.

resultsMultivariable regression analyses showed that identifying as both a sexual and racial/ethnic minority was a risk factor for experiencing discrimination. Frequent discrimination and reporting discrimination due to sexual orientation was associated with a greater likelihood of ever and current vaping. Path models supported that discrimination mediated the relationship between intersectional identity and vape use. LGBQ+ youth of color reported more frequent discrimination, which was associated with a greater likelihood of ever/current vape use.

conclusionsIntersectionality Theory aids in understanding how discrimination can exacerbate tobacco-related disparities for youth with multiple minority identities. Findings corroborate the importance of measuring discrimination in public health surveys. Effective tobacco interventions could incorporate strategies to cope with discrimination-related stress.

Indexed as

Sexual and Gender MinoritiesVapingAdolescentChildCross-Sectional StudiesEthnicityFemaleHumansMaleSocial DiscriminationAdolescentDiscriminationDisparitiesRacial/ethnic minoritiesSexual orientationVaping

Identifiers

PMID38718463
PMCPMC11238823

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Registered trials

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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.