Evidence map›Paper›PMID 42691037›Full record

ArticlePreventing chronic disease2026

Exploring Potential Predictors and Mediators of Marijuana Use Among US Women: A Structural Equation Modeling Approach.

Elfreda Samman, Wah Wah Myint, Gabrielle Torres-Coley, Aishatu Yusuf

Abstract read
In one paragraph

Article in Preventing chronic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Elfreda SammanCollege of Public Health, University of North Texas Health Science Center, Fort Worth, Texas.
Wah Wah MyintSchool of Public Health, Center for Community Health and Aging, Texas A&M University, College Station, Texas.
Gabrielle Torres-ColeySchool of Public Health, Department of Health Behavior, Texas A&M University, College Station, Texas.
Aishatu YusufCollege of Public Health, University of North Texas Health Science Center, Fort Worth, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite concerns about the impact of marijuana on women's health, studies exploring factors influencing use are limited. We examined predictors and mediators of marijuana use among US women. Methods: Structural equation modeling analyzed data on women (n = 16,081) from the 2023 National Survey on Drug Use and Health, with marijuana use as dependent variable. Sociodemographic variables and covariates included age, race and ethnicity, marital status, education, poverty status, county type, criminal history, and binge drinking. Potential mediators were past-year major depressive episode (PY-MDE); past-year use of illicit drugs, tobacco, and alcohol (PY-IDTA); poverty status; and body mass index. Results: Marijuana use was frequently reported among women aged 26 to 34 years (35.6%), those who were non-Hispanic White (60.8%), never been married (62.5%), with some college-level education (38.1%), living in large metropolitan areas (56.7%), those who did not binge drink (53.8%), without a criminal history (83.7%), with no PY-MDE (74.8%), no PY-IDTA (73.4%), those who were living above the poverty threshold (58.5%), and those with obesity (37.5%). Criminal history (β = 0.188) and binge drinking (β = 0.404) had positive direct effects on marijuana use; age (β =-0.065) and race (β = -0.027) had negative direct effects on use. PY-MDE mediated the relationships between age, race and ethnicity, marital status, county, past criminal history, binge drinking, and marijuana use (indirect βs = -0.008 to 0.080). PY-IDTA mediated the relationships between race and ethnicity, marital status, education, past criminal history, binge drinking, and marijuana use (indirect βs = -0.013 to 0.378), with all P values <.05. Conclusion: Results suggest potential predictors and mediators of marijuana use, highlighting the need for multi-strategy targeted interventions among US women.

Indexed as

Marijuana UseAdolescentAdultFemaleHumansLatent Class AnalysisMiddle AgedUnited StatesYoung Adult

Identifiers

PMID42691037
PMCPMC13543778

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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.