Evidence map›Paper›PMID 42119185›Full record

ArticleAddictive behaviors2026

Depression stigma and alcohol use among adults with major depressive disorder: a daily diary study.

Katie Wang, Robert B Manning, Nicole H Weiss, Melissa R Schick, John E Pachankis

Abstract read
In one paragraph

Article in Addictive behaviors, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 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

5 authors.

Katie WangDepartment of Social and Behavioral Sciences, Yale School of Public Health, United States. Electronic address: katie.wang@yale.edu.
Robert B ManningDepartment of Psychology, Miami University, United States.
Nicole H WeissDepartment of Psychology, University of Rhode Island, United States.
Melissa R SchickDepartment of Psychiatry, Division of Prevention and Community Research, Yale School of Medicine, United States.
John E PachankisDepartment of Social and Behavioral Sciences, Yale School of Public Health, United States.

Funding

Project 4: Neonatal Abstinence Syndrome (NAS): Fetus to First YearsP20GM125507 · NIGMS · RHODE ISLAND HOSPITAL · PI Brandon David Lewis Marshall · 2018 to 2026
$23.4M
Mental illness stigma as a risk factor for substance use among adults with depressionK01DA045738 · NIDA · YALE UNIVERSITY · PI WANG, PENG · 2019 to 2023
$886k
Leveraging Mobile Technology to Explicate the Role of Emotions in Substance Use Among Trauma-Exposed Community AdultsK23DA059609 · NIDA · YALE UNIVERSITY · PI Melissa R Schick · 2024 to 2026
$584k
NIDA NIH HHS K01 DA045738NIDA NIH HHS K23 DA059609NIGMS NIH HHS P20 GM125507
6 · The paper itself

Abstract

The comorbidity between depression and alcohol use problems is well-documented, yet little research has examined how depression-related stigma may contribute to this comorbidity. Utilizing a daily diary design, the current study examined the concurrent (i.e., same-day) and lagged (i.e., next day) associations between felt depression stigma (i.e., shame and fear of being discriminated against or socially rejected due to one's depression) and alcohol use behaviors among a community sample of adults diagnosed with major depressive disorder (MDD). Participants (N = 92) reported experiences of felt depression stigma, number of alcoholic drinks consumed, and general psychological distress once a day over a period of 14  days, as well as their recent alcohol use and depressive symptoms at baseline. Multilevel modeling revealed that within-person fluctuations in felt depression stigma were positively associated with increased alcohol consumption and greater odds of engaging in heavy drinking on the same day, while controlling for relevant baseline and daily covariates. However, within-person fluctuations of felt depression stigma were not associated with the likelihood of same-day alcohol use or any of the next-day alcohol use outcomes. These findings highlight the role of stigma as a potential risk factor for harmful patterns of alcohol use among individuals with MDD, thus advancing our understanding of the etiology of depression-alcohol use comorbidity. Results also underscore the utility of addressing felt depression stigma and fostering adaptive coping in alcohol use prevention and treatment interventions tailored for individuals with MDD.

Indexed as

Alcohol DrinkingMajor Depressive DisorderSocial StigmaAdultComorbidityDiaries as TopicFemaleHumansMaleMiddle AgedPsychological DistressShameAlcohol useComorbidityCopingDepressionStigma

Identifiers

PMID42119185
PMCPMC13321984

What OpenQuestion holds

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Registered trials

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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.