ArticleAlcohol, clinical & experimental research2023
The role of effortful control in mitigating negative consequences associated with emerging adult drinking.
Article in Alcohol, clinical & experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Sex Differences in the Association Between Drinking Motives, Protective Behavioral Strategies, and Alcohol Outcomes in a Hazardous Drinking College Sample.Substance use & misuse · 2026Article
- The Relationships between Effortful Control, Mind Wandering, and Mobile Phone Addiction Based on Network Analysis.Healthcare (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundIdentifying factors that protect against alcohol-related negative consequences associated with emerging adult drinking is a critical public health issue. It has been proposed that high levels of self-regulation moderate risks associated with drinking, decreasing alcohol-related negative consequences. Past research testing this possibility is limited by a lack of advanced methodology for testing moderation and failure to consider facets of self-regulation. This study addressed these limitations.
methodsThree hundred fifty-four community emerging adults (56% female; predominantly non-Hispanic Caucasian (83%) or African American (9%)) were assessed annually for 3 years. Moderational hypotheses were tested using multilevel models and the Johnson-Neyman technique was used to examine simple slopes. Data were organized such that repeated measures (level 1) were nested within participants (level 2) to test cross-sectional associations. Self-regulation was operationalized as effortful control and its facets (attentional, inhibitory, and activation control).
resultsWe found evidence of moderation. The association between alcohol use during a heavy drinking week and consequences weakened as effortful control increased. This pattern was supported for two facets (attentional and activation control), but not for inhibitory control. Regions of significance results revealed that this protective effect was only evident at very high levels of self-regulation.
conclusionsThe results provide some evidence that very high levels of attentional and activation control protect against alcohol-related negative consequences associated with drinking. Emerging adults who are very high in attentional and activation control are likely better able to control their attention and engage in goal-directed behavior, like leaving a party at a reasonable hour, or attending school and/or work when experiencing the punishing effects of a hangover. Results emphasize the importance of distinguishing facets of self-regulation when testing self-regulation models.
Indexed as
Identifiers
What OpenQuestion holds
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.