Evidence map›Paper›PMID 35901534›Full record

ArticleDrug and alcohol dependence2022

Comparing substance use outcomes by sexual identity among women: Differences using propensity score methods.

Katherine J Karriker-Jaffe, Laurie A Drabble, Libo Li, Cat Munroe, Amy A Mericle, Karen F Trocki, Tonda L Hughes

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Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Katherine J Karriker-JaffeResearch Triangle Institute, 2150 Shattuck Ave, Suite 800, Berkeley, USA.
Laurie A DrabbleSan José State University, College of Health and Human Sciences, One Washington Square, San José, USA. Electronic address: laurie.drabble@sjsu.edu.
Libo LiAlcohol Research Group, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA. Electronic address: lli@arg.org.
Cat MunroeAlcohol Research Group, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA. Electronic address: cmunroe@arg.org.
Amy A MericleAlcohol Research Group, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA. Electronic address: americle@arg.org.
Karen F TrockiAlcohol Research Group, 6001 Shellmound St, Suite 450, Emeryville, CA 94608, USA. Electronic address: ktrocki@arg.org.
Tonda L HughesSchool of Nursing & Department of Psychiatry, Columbia University, 630 West 168th Street, Mail Box Code 6, New York, NY 10032, USA. Electronic address: Th2696@cumc.columbia.edu.

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MARTINEZ, PRISCILLA · 1985 to 2025
$34.1M
Impact of supportive policies on minority stress, drinking and health among womenR01AA013328 · NIAAA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HUGHES, TONDA L, MATTHEWS, ALICIA K · 2002 to 2021
$8.0M
GRADUATE RESEARCH TRAINING ON ALCOHOL PROBLEMST32AA007240 · NIAAA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William C. Kerr · 1985 to 2026
$7.5M
Sexual Orientation Differences: Prevalence & Correlates of Substance Use & AbuseR01DA036606 · NIDA · PUBLIC HEALTH INSTITUTE · PI DRABBLE, LAURIE ANNE, TROCKI, KAREN F. · 2014 to 2018
$2.0M
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA013328NIAAA NIH HHS T32 AA007240NIDA NIH HHS R01 DA036606
6 · The paper itself

Abstract

backgroundDifferences in alcohol, tobacco, and other drug (ATOD) use by sexual identity vary across samples of women recruited using different sampling methods. We used propensity score (PS) weighting methods to address two methodological questions: (1) Do disparities between sexual minority women (SMW) and heterosexual women persist when differences in risk and protective factors are similarly distributed between groups, and (2) Does accounting for SMW-specific resiliency factors impact differences between non-probability samples of SMW?

methodsFour samples included SMW from a longitudinal study with a nonprobability sample (n = 373), a national general population panel sample (n = 373), and a national LGBTQ-specific panel sample (n = 311), as well as a national probability sample of heterosexual women (n = 446). Between-groups analyses using double-robust PS weighted models estimated differences in ATOD use under hypothetical conditions in which samples have similar risk and protective factors.

resultsAfter PS weighting, imbalance in confounders between SMW and heterosexual samples was substantially reduced, but not eliminated. In double-robust PS weighted models, SMW samples consistently had significantly greater odds of drug use than heterosexuals, with odds from 8.8 to 5.6 times greater for frequent marijuana use and 4.8-3.2 greater for other drug use. Few differences between SMW samples in ATOD outcomes or other variables remained after PS weighting.

conclusionRelative to heterosexual women, disparities in marijuana and other drug use among SMW are evident regardless of sampling strategy. The results provide some reassurance about the validity of large nonprobability samples, which remain an important recruitment strategy in research with SMW.

Indexed as

Sexual and Gender MinoritiesSubstance-Related DisordersFemaleHeterosexualityHumansLongitudinal StudiesPropensity ScoreAlcohol, tobacco and other drug (ATOD) useAlcohol use disorderPropensity score methodsSampling methodologySexual minority women

Identifiers

PMID35901534
PMCPMC9869911

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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.