ArticleExperimental and clinical psychopharmacology2022
Measuring subjective alcohol effects in daily life using contemporary young adult language.
Article in Experimental and clinical psychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Comparing subjective effects and intoxication on simultaneous alcohol and cannabis use occasions relative to alcohol- or cannabis-only occasions.Alcohol, clinical & experimental research · 2025Article
- Are you feeling what I'm feeling? Momentary interactions between personal and perceived peer subjective response predict craving and continued drinking in young adults.Drug and alcohol dependence · 2025Article
- Health and Well-Being Among College Students in the United States During the COVID-19 Pandemic: Daily Diary Study.Interactive journal of medical research · 2024Article
- Using a Smartwatch App to Understand Young Adult Substance Use: Mixed Methods Feasibility Study.JMIR human factors · 2024Article
- Interpretations and experiences of subjective effects for alcohol alone and when combined with cannabis: A mixed-methods approach.Experimental and clinical psychopharmacology · 2024Article
- Subjective intoxication predicts alcohol-related consequences at equivalent alcohol concentrations in young adults using ecological momentary assessment and alcohol sensors.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024Article
- Reasons for not drinking among young adults with simultaneous alcohol and cannabis use: A latent class analysis applied to daily diary data.Addictive behaviors · 2023Article
- Using Young Adult Language to Describe the Effects of Simultaneous Alcohol and Marijuana Use: Implications for Assessment.Substance use & misuse · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Young adults' subjective feelings of alcohol's effects are a key predictor of engagement in risky behavior such as deciding whether to drive after drinking. To best inform prevention messaging and tailor intervention techniques that target high-risk drinking, it is critical that our measurement best captures subjective feelings. Standard sliding scales (0-100 rating of, "how drunk do you feel?") may have some challenges with distinguishing between levels of subjective responses to alcohol. The current daily diary study compared the utility of the standard sliding scale to a newly developed sliding scale that uses contemporary, crowd-sourced language from young adults as evenly spaced anchors (slightly buzzed, tipsy/"happy," drunk, and wasted) along a continuum of subjective effects of alcohol. Participants were 154 young adult substance users (58% women) who completed up to 14 consecutive daily reports of their substance use behavior. The four-anchored sliding scale performed similarly well as the standard scale in predicting alcohol use outcomes while showing the advantages of recording higher mean values/standard deviations and demonstrating that participants used the anchors to denote varying degrees of subjective effects. Findings suggest that the four-anchored subjective alcohol effects sliding scale is a viable alternative to the standard scale. By providing evenly spaced anchors that reflect incremental differences in language young adults use to describe their subjective states, the proposed scale may provide a guide for participants to indicate how they feel after drinking and may better capture variability in alcohol's effects. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Registered trials
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.