MétaCan
Menu
← Back to cohort
Record W4384120777 · doi:10.2196/48875

Mediators and Moderators in the Co-Occurring Anxiety and Alcohol Use Relationship: Protocol for a Systematic Review and Meta-Analysis

2023· review· en· W4384120777 on OpenAlexvenueno aff
Tara Gückel, Katrina Prior, Nicola C. Newton, Lexine Stapinski

Bibliographic record

VenueJMIR Research Protocols · 2023
Typereview
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
FundersFaculty of Medicine and Health, University of SydneyNational Health and Medical Research CouncilMedical Research CouncilUniversity of SydneyAustralian Rotary Health
KeywordsPsycINFOAnxietyClinical psychologyPsychologyObservational studyPopulationMeta-analysisMediationSystematic reviewRandomized controlled trialMEDLINEMedicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Anxiety and alcohol use commonly co-occur. Previous research has demonstrated the bidirectional and mutually reinforcing nature of this relationship, with an increasing body of research investigating the mediating and moderating mechanisms driving this association. Within the existing mediation and moderation research, however, there have been contrasting findings and, at times, null results among some population groups. OBJECTIVE: This protocol outlines a systematic review and meta-analysis aiming to synthesize and clarify mediators and moderators in the anxiety-alcohol and alcohol-anxiety relationships. METHODS: Systematic searches will be conducted in the electronic databases Medline, PsycINFO, Embase, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science to identify studies that investigated mediators and moderators of the relationship between anxiety and alcohol use, including clinical and subclinical levels. Studies that look at the relationship between anxiety and alcohol use outcomes, as well as alcohol use and anxiety outcomes, will be included in order to capture an in-depth understanding of the mechanisms driving the association in either direction. No limits will be placed on study year or study language. Included study designs will be observational studies, including cohort, cross-sectional, and longitudinal studies, and secondary analyses of randomized controlled trials reporting quantitative results. Selected studies will also have their reference lists hand-searched for other relevant papers. Study quality will be assessed with the Joanna Briggs Institute Checklists for Analytical Cross-Sectional Studies and Cohort Studies. Mediators and moderators will be narratively synthesized in line with the biopsychosocial framework, where results will be grouped into biological, psychological, and social or environmental factors. If the data are sufficiently homogeneous, a meta-analysis will be conducted with mediation and moderation analyses synthesized separately. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework will also be used to assess the strength of cumulative evidence. RESULTS: Electronic database searches were conducted in September 2022. After duplicates were removed, a total of 7330 titles and abstracts were screened. Full-text reviewing is currently under way, with the results expected to be available by the end of 2023. CONCLUSIONS: Given the significant individual and societal impacts of co-occurring anxiety and alcohol use, this review will help clarify mechanisms linking these two concerns. Identified mechanisms, where possible, can then be targeted in prevention, early intervention, and treatment approaches to improve the outcomes for individuals experiencing co-occurring anxiety and alcohol use. TRIAL REGISTRATION: PROSPERO CRD42023358402; https://tinyurl.com/2m2e3enp. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48875.

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)0.067
metaresearch head score (Gemma)0.112
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.072
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.112
Meta-epidemiology (narrow)0.0080.006
Meta-epidemiology (broad)0.0270.043
Bibliometrics0.0140.013
Science and technology studies0.0030.004
Scholarly communication0.0090.009
Open science0.0060.006
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0720.007

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 head0.709
GPT teacher head0.645
Teacher spread0.064 · 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 designSystematic review
Domainnot available
GenreProtocol

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Research Protocols→Same topicSubstance Abuse Treatment and Outcomes→French-language works237,207→