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Record W4410354649 · doi:10.36315/2025inpact028

ALCOHOL USE BEHAVIOURS AND LIFE SATISFACTION: THE ROLE OF PSYCHOLOGICAL FLEXIBILITY

2025· article· en· W4410354649 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)Life satisfactionComputer sciencePsychologySocial psychologyStatisticsMathematics

Abstract

fetched live from OpenAlex

In Canada and the United States, there is currently an alcohol use disorder (AUD) crisis (Lodge et al., 2022), which necessitates the development of interventions focused on addressing the high prevalence of alcohol use.Psychological flexibility (PF) involves being consciously present in the moment and engaging in behaviours that align with personal values.Increased PF is associated with higher psychological well-being (Francis et al., 2016) and more positive addiction-related outcomes, including higher treatment adherence and fewer avoidance behaviours and cravings (Lee et al., 2015).The primary objective of this research was to examine the mediating role of PF in the relationship between daily use/alcohol use disorder symptoms and satisfaction with life (SWL).In total, we recruited 525 participants (Mage = 29.95years, SD = 16.81 years) from undergraduate psychology classes in Canada, the general population via social media, and Prolific, a crowdsourcing tool.Participants completed an online questionnaire package that included the Comprehensive Inventory of Acceptance and Commitment Therapy (CompACT;Francis et al., 2016) to assess overall PF and subscales to measure behavioural awareness (BA), openness to experience (OE), and valued action (VA), daily/almost daily alcohol use (ASI; McLellan et al., 1992), DSM-5 criteria to assess AUD symptoms, and SWL scale (Diener et al., 1985).Overall, 89 participants reported never consuming alcohol, 31 reported consuming alcohol less than once a year, 70 reported consuming alcohol in the past year, 249 reported consuming alcohol in the past 30 days, and 72 reported consuming alcohol daily/almost daily.There were statistically significant zero-order correlations between SWLS and all aspects of PF, as well as inverse correlations between AUD and two PF subtypes, BA and OE.Two mediation analyses were conducted to examine if PF mediated the relationship between alcohol use and SWL.In the first model, the CompACT subscales did not mediate the relationship between daily alcohol use and SWL.In the second model, two dimensions of PF, VA (B = -0.0298,95% CI -0.0555 to -0.0041) and OE (B = -0.0370,95% CI: -0.0626 to -0.0115) partially mediated the relationship between self-reported AUD symptoms and SWL.These results highlight the mediating role of aspects of PF, specifically VA and OE, in the relationship between AUD and SWL.Interventions that focus on enhancing openness to both positive and negative experiences and focusing on personal values could help individuals with AUD maintain higher life satisfaction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.455
Teacher spread0.379 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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