Evidence map›Paper›PMID 37748224›Full record

ArticleAddictive behaviors2024

Evaluating age-related disparities in cannabis-related problems among LGBT+ versus non-LGBT+ adults.

Cara A Struble, Jacob T Borodovsky, Mohammad I Habib, Ofir Livne, Claire A Walsh, Efrat Aharonovich, Deborah S Hasin, Alan J Budney

Abstract read
In one paragraph

Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Cara A StrubleDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Williamson Translational Research Building, Third Floor HB 7261, 1 Medical Center Drive, Lebanon, NH 03756, USA. Electronic address: cara.a.struble@dartmouth.edu.
Jacob T BorodovskyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Williamson Translational Research Building, Third Floor HB 7261, 1 Medical Center Drive, Lebanon, NH 03756, USA. Electronic address: jacob.t.borodovsky@dartmouth.edu.
Mohammad I HabibDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Williamson Translational Research Building, Third Floor HB 7261, 1 Medical Center Drive, Lebanon, NH 03756, USA. Electronic address: mohammad.i.habib@dartmouth.edu.
Ofir LivneDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA. Electronic address: ol2166@cumc.columbia.edu.
Claire A WalshDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA. Electronic address: claire.walsh@nyspi.columbia.edu.
Efrat AharonovichDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA. Electronic address: efrat.aharonovich@nyspi.columbia.edu.
Deborah S HasinDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168(th) St, New York, NY 10032, USA. Electronic address: dsh2@columbia.edu.
Alan J BudneyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Williamson Translational Research Building, Third Floor HB 7261, 1 Medical Center Drive, Lebanon, NH 03756, USA; Department of Psychiatry, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA. Electronic address: alan.budney@dartmouth.edu.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
Leveraging Social Media to Develop the Cannabis Exposure Index (CEI), A Standardized Measure of Cannabis UseR01DA050032 · NIDA · DARTMOUTH COLLEGE · PI Jacob T Borodovsky, DEBORAH S HASIN · 2020 to 2026
$3.8M
Cannabis use patterns and associations with cognitive impairment in older adultsK23DA057417 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Ofir Livne · 2023 to 2026
$586k
NIDA NIH HHS K23 DA057417NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA050032NIDA NIH HHS T32 DA031099NIDA NIH HHS T32 DA037202
6 · The paper itself

Abstract

LGBT+ adults demonstrate greater cannabis-related problems (e.g., Cannabis Use Disorder [CUD]) compared to non-LGBT+ counterparts. No study has explored age-related disparities in cannabis problems across the adult lifespan, nor have studies identified specific CUD criteria that contribute to elevated CUD among LGBT+ adults. The purpose of this study was to examine associations between LGBT+ identity and age with endorsement of CUD criteria in a sample of regular cannabis consumers. An online sample of N = 4334 (25.1% LGBT+) adults aged 18-64 residing in the U.S. completed an online survey about cannabis use behaviors and CUD diagnostic criteria. Bivariate contrasts revealed significantly greater CUD criteria endorsement among LGBT+ respondents, largely driven by differences at younger ages. However, this effect disappeared in the majority of adjusted logistic regression models. LGBT+ identity was associated with greater probability of use in larger amounts (adjOR = 2.10, 95% CI: 1.22-3.60) and use despite physical/mental health problems (adjOR = 2.51, 95% CI:1.23-5.03). No age*LGBT+ identity interactions were detected. Plotted trends depict more pronounced disparities in outcomes among LGBT+ adults under 35 years. Several potential risk and protective factors including employment, education, and reasons for use were identified. There were age-related differences in these characteristics among LGBT+ and non-LGBT+ respondents. Initial findings highlight the need for LGBT+ research examining trends in health outcomes and sociodemographic and cannabis characteristics across the lifespan. The study also provides a substantive contribution regarding specific cannabis-related problems that young LGBT+ cannabis consumers may be more likely to endorse than their non-LGBT+ counterparts.

Indexed as

CannabisMarijuana AbuseSexual and Gender MinoritiesSubstance-Related DisordersAdultEducational StatusHumansCannabisCannabis use disorderDisparitiesLGBT+Sexual and gender minority

Identifiers

PMID37748224
PMCPMC10713017

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.