ArticlePloS one2024
Language-based EMA assessments help understand problematic alcohol consumption.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Deep Semantics Analysis for Scale Development: Replicating Psychometrics Validation Process with Large Language Models.Behavioral sciences (Basel, Switzerland) · 2026Article
- Speech markers of psychological change following a psychedelic 5-MeO-DMT retreat.Journal of psychopharmacology (Oxford, England) · 2026Article
- Human Expertise and Large Language Model Embeddings in the Content Validity Assessment of Personality Tests.Educational and psychological measurement · 2026Article
- Tracking everyday emotional experiences in university students with the distinct mood assessment questionnaire.Current psychology (New Brunswick, N.J.) · 2026Article
- What is the cost of dedication to teaching? A school-based longitudinal quantitative study on habits and quality of life.PloS one · 2026Article
- Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits.Findings of ACL. ACL · 2025Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundUnhealthy alcohol consumption is a severe public health problem. But low to moderate alcohol consumption is associated with high subjective well-being, possibly because alcohol is commonly consumed socially together with friends, who often are important for subjective well-being. Disentangling the health and social complexities of alcohol behavior has been difficult using traditional rating scales with cross-section designs. We aim to better understand these complexities by examining individuals' everyday affective subjective well-being language, in addition to rating scales, and via both between- and within-person designs across multiple weeks.
methodWe used daily language and ecological momentary assessment on 908 US restaurant workers (12692 days) over two-week intervals. Participants were asked up to three times a day to "describe your current feelings", rate their emotions, and report their alcohol behavior in the past 24 hours, including if they were drinking alone or with others.
resultsBoth between and within individuals, language-based subjective well-being predicted alcohol behavior more accurately than corresponding rating scales. Individuals self-reported being happier on days when drinking more, with language characteristic of these days predominantly describing socializing with friends. Between individuals (over several weeks), subjective well-being correlated much more negatively with drinking alone (r = -.29) than it did with total drinking (r = -.10). Aligned with this, people who drank more alone generally described their feelings as sad, stressed and anxious and drinking alone days related to nervous and annoyed language as well as a lower reported subjective well-being.
conclusionsIndividuals' daily subjective well-being, as measured via language, in part, explained the social aspects of alcohol drinking. Further, being alone explained this relationship, such that drinking alone was associated with lower subjective well-being.
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