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Record W4390060887 · doi:10.1037/pha0000703

The role of anhedonia in the relationship between adverse childhood experiences (ACEs), alcohol use disorder symptoms, and food addiction symptoms in a sample of emerging adults with histories of heavy drinking.

2023· article· en· W4390060887 on OpenAlexaff
Mary Takgbajouah, Nate Barnes, James MacKillop, James G. Murphy, Joanna Buscemi

Bibliographic record

VenueExperimental and Clinical Psychopharmacology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Substance Use and School Attendance
Canadian institutionsMcMaster University
FundersNational Institute on Alcohol Abuse and AlcoholismNational Institutes of Health
KeywordsAnhedoniaClinical psychologyPsychologyAlcohol use disorderStructural equation modelingPleasureAddictionOvereatingPsycINFOPsychiatryPoison controlAlcohol dependenceMedicineEnvironmental healthAlcoholObesityMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

= 1.01). A confirmatory factor analysis was used to specify the model, and structural equation modeling was used to test the hypotheses. The initial measurement model was overidentified and demonstrated acceptable to favorable fit. Standardized results from a bootstrap analysis of the structural regression model showed significant direct effects of ACEs on FA and AUD symptoms. Results also found a significant indirect effect of ACEs on AUD symptoms through anhedonia, though this indirect effect was not significant for FA. Anhedonia could be a key target for the prevention and treatment of problematic alcohol use. Future research should examine the role of anhedonia in the maintenance of FA in nonheavy drinking samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.369
Teacher spread0.338 · 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 teacher head, 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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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