Evidence map›Paper›PMID 38281150›Full record

ArticleSubstance use & addiction journal2024

Patterns of Tobacco and Cannabis Use Among Sexual Minority Females and Males From PATH Wave 5: The Role of Sociodemographic and Psychosocial Correlates.

Katelyn F Romm, Carla J Berg, Yan Wang, Amy M Cohn

Abstract read
In one paragraph

Article in Substance use & addiction journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Katelyn F RommTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.ORCID 0000-0002-9552-0732
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Amy M CohnTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Recreational Marijuana Marketing and Young Adult Consumer Behavior - Administrative SupplementR01DA054751 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Patricia A Cavazos-Rehg · 2022 to 2026
$4.3M
Implementing a Scalable Smoke-free Home Intervention in Armenia and GeorgiaR01CA278229 · NCI · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, MICHELLE C KEGLER · 2023 to 2026
$2.3M
Effects of State Preemption of Local Tobacco Control Legislation on Disparities in Tobacco Use, Exposure and RetailR01CA275066 · NCI · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Y. Tony Yang · 2023 to 2026
$2.0M
Emory-Georgia Clean Air Research & Education (CARE) ProgramD43ES030927 · NIEHS · EMORY UNIVERSITY · PI BERG, CARLA J, CAUDLE, WILLIAM MICHAEL · 2019 to 2025
$1.2M
Armenia-US Collaboration to Address Chronic Disease via Education in Social Determinants Science (ACCESS)D43TW012456 · FIC · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Nino Paichadze · 2023 to 2026
$974k
An mHealth Positive Psychology Intervention to Reduce Cancer Burden in Young Adult Cancer SurvivorsR21CA261884 · NCI · GEORGE WASHINGTON UNIVERSITY · PI AREM, HANNAH, BERG, CARLA J · 2022 to 2023
$428k
Parental Influences on Tobacco Use among Sexual Minority Young Adults in a New Market and Policy LandscapeF32DA055388 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI ROMM, KATELYN · 2022 to 2022
$12k
FIC NIH HHS D43 TW012456NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA275066NCI NIH HHS R01 CA278229NCI NIH HHS R21 CA261884NIDA NIH HHS F32 DA055388NIDA NIH HHS L60 DA056995NIDA NIH HHS R01 DA054751NIEHS NIH HHS D43 ES030927
6 · The paper itself

Abstract

introductionAlthough sexual minority (SM; vs heterosexual) individuals display higher rates of tobacco and cannabis use, limited research has examined sociodemographic and psychosocial correlates of single and co-use among this population.

methodsParticipants were SM-identifying female (N = 2419;

resultsThe proportions of SM females reporting no use, tobacco-only, cannabis-only, and co-use were 37.9%, 24.0%, 10.5%, and 27.6%, respectively. Among males, 40.6%, 27.8%, 10.1%, and 21.5% reported no use, tobacco-only, cannabis-only, and co-use, respectively. Among females and males, substance use problems were associated with all 3 use groups (vs no use); past-month alcohol use was associated with cannabis-only and co-use; and mental health symptoms were associated with co-use (and cannabis-only in males). Sociodemographic correlates among females were: tobacco-only-identifying as bisexual (vs lesbian), White (vs Black), older, lower education, and lower income; cannabis-only-bisexual, other race (vs White); and co-use-White (vs Hispanic), lower education, and lower income. Among males, sociodemographic correlates were: tobacco-only-older, lower education, and lower income; cannabis-only-Black (vs White) and higher income.

conclusionsPublic health efforts to reduce tobacco and cannabis use among SM adults should target single versus co-use patterns and their corresponding sociodemographic, mental health, and substance use profiles.

Indexed as

Marijuana UseSexual and Gender MinoritiesAdultFemaleHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsTobacco UseYoung Adultcannabisco-usemental healthrisk factorssexual minoritysubstance usetobacco

Identifiers

PMID38281150
PMCPMC11626907

What OpenQuestion holds

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Registered trials

None linked

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.