Evidence map›Paper›PMID 40464621›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2025

Covariation of daily stressors and alcohol use among adults aged 50+ years: differences across stressor characteristics and individual factors.

Sara E Miller, Jennifer L Maggs, David M Almeida

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Sara E MillerEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, United States.ORCID 0000-0003-3372-4585
Jennifer L MaggsDepartment of Human Development and Family Studies, The Pennsylvania State University, United States.
David M AlmeidaDepartment of Human Development and Family Studies, The Pennsylvania State University, United States.

Funding

PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
NIDA NIH HHS T32 DA017629NIH HHS
6 · The paper itself

Abstract

backgroundSeveral theoretical frameworks suggest connections between stress and alcohol use. However, limited existing literature has focused on older adults, and associations may vary across stressor and individual characteristics. PURPOSE: The current study extends the stress-drinking literature by assessing the same-day covariation of daily stressors and alcohol use among a national sample of adults aged 50+ years.

methodsParticipants (N = 1,035; Mage=61.62 years; range = 50-83) were non-abstaining adults who participated in an 8-day daily diary project in the National Study of Daily Experiences.

resultsMultilevel logistic regression analyses revealed no main effects of stressor exposure (OR = 1.07; 95% CI: 0.93, 1.24), stressor quantity (OR = 1.09; 95% CI: 0.98, 1.20), or stressor severity (OR = 1.06; 95% CI: 0.99, 1.14) on likelihood of same-day alcohol consumption. There were differences by stressor domain. Days with non-work stressors were associated with a 13% greater likelihood of alcohol use compared to days without non-work stressors (OR = 1.13; 95% CI = 1.004, 1.27). In contrast, likelihood of alcohol consumption did not differ between days with work stressors compared to days without work stressors (OR = 0.90; 95% CI = 0.71, 1.13). Several between-person factors were found to moderate associations between daily stressors and alcohol use. Specifically, older age, lower educational attainment, and reporting alcohol-related problems strengthened associations between some daily stressor characteristics and likelihood of same-day alcohol use.

conclusionsStudy findings suggest individual differences in middle-aged and older adults' drinking on days with daily stressors. Results may inform efforts to provide personalized alcohol use education and intervention to adults aged 50+ years.

Indexed as

Alcohol DrinkingIndividualityStress, PsychologicalAgedAged, 80 and overFemaleHumansMaleMiddle Agedalcoholdaily assessmentdaily stressorsindividual differencesolder adults

Identifiers

PMID40464621
PMCPMC12135190

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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.