Evidence map›Paper›PMID 40809802›Full record

ArticlePsychology of sexual orientation and gender diversity2024

Testing reciprocal prospective associations between descriptive norms and alcohol and cannabis use among sexual minority women and gender diverse individuals assigned female at birth: Identification of relevant normative referents and correlates of descriptive norms.

Christina Dyar, Isaac C Rhew, Christine M Lee

Abstract read
In one paragraph

Article in Psychology of sexual orientation and gender diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Christina DyarCollege of Nursing, Ohio State University.
Isaac C RhewDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Christine M LeeDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.

Funding

Testing a multistage model of risk factors for cannabis use utilizing a measurement burst design among sexual minority women, sexual minority gender diverse individuals, and heterosexual womenR01DA058642 · NIDA · OHIO STATE UNIVERSITY · PI CHRISTINA DYAR · 2023 to 2026
$2.8M
Understanding Substance Use Risk among Sexual Minority WomenK01DA046716 · NIDA · OHIO STATE UNIVERSITY · PI DYAR, CHRISTINA · 2019 to 2023
$843k
NIDA NIH HHS K01 DA046716NIDA NIH HHS R01 DA058642
6 · The paper itself

Abstract

Sexual minority women (SMW) and sexual minority gender diverse individuals (SMGD) are at elevated risk for alcohol and cannabis use disorders; however, very little research has examined the role of descriptive norms in these disparities. This study aimed to test reciprocal prospective associations between descriptive norms for different normative referents (e.g., women, SMW, gender diverse individuals) and alcohol and cannabis consumption and problems among SMW and SMGD individuals. We used data from a study of substance use among 429 SMW and SMGD individuals assigned female at birth. We also aimed to identify the most relevant normative referents for SMW and for SMGD individuals by examining the unique effects of more specific normative referents (e.g., SMW) while controlling for less specific referents (e.g., women). Further, we examined potential covariates of norms, including those derived from social and minority stress theories of substance use among sexual and gender minorities. Among SMW, perceptions of heavier alcohol/cannabis use among other SMW predicted subsequent increases in alcohol/cannabis problems, but not consumption. Among SMGD individuals, descriptive norms did not predict subsequent changes in alcohol/cannabis consumption or problems. Little evidence was found to support reciprocal associations. Concurrent and prospective correlates of norms were also identified. Findings indicate that SMW-specific norms are most relevant for SMW. Less evidence was found for associations between norms and substance use among SMGD individuals. We discuss potential implications for the adaptation of normative feedback interventions for SMW and SMGD individuals.

Indexed as

alcoholcannabisdescriptive normsgender minoritysexual minority

Identifiers

PMID40809802
PMCPMC12330992

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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.