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Record W2884972020 · doi:10.1111/papt.12192

Mood instability contributes to impulsivity, non‐suicidal self‐injury, and binge eating/purging in people with anxiety disorders

2018· article· en· W2884972020 on OpenAlexaff
Evyn M. Peters, Rudy Bowen, Lloyd Balbuena

Bibliographic record

VenuePsychology and Psychotherapy Theory Research and Practice · 2018
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsImpulsivityAnxietyMoodPsychologyPsychiatryAgoraphobiaGeneralized anxiety disorderClinical psychologyBinge eatingMood disordersPanic disorderEating disorders

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study was to determine whether mood instability in people with anxiety disorders contributes to trait impulsivity, non-suicidal self-injury, and binge eating/purging. METHODS: = 51.0 years; 56.9% female). Logistic regression analyses with effect decompositions were used to establish the associations of five anxiety disorders (generalized anxiety disorder, social phobia, panic disorder, agoraphobia, and obsessive-compulsive disorder) with impulsivity, non-suicidal self-injury, and binge eating/purging, and then to determine the extent that adding mood instability to each model reduced these relationships. RESULTS: Participants with an anxiety disorder were more likely to report impulsivity compared to participants without an anxiety disorder (ORs = 2.40-3.92, all p < .001), but these relationships reduced by 59-78% and became non-significant when mood instability was added to the models. Participants with an anxiety disorder were also more likely to report non-suicidal self-injury (ORs = 3.86-18.9, all p < .001) and binge eating/purging (ORs = 4.05-14.9, all p < .01); adding mood instability to the models reduced these relationships by at least 30%. CONCLUSIONS: Mood instability and impulsivity are common in people with anxiety disorders. Anxiety disorders are associated with impulsivity largely because of the association between mood instability and impulsivity. Mood instability may contribute to non-suicidal self-injury and binge eating/purging in people with anxiety disorders. Treatments for mood instability in addition to standard anxiety disorder treatment may reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders. PRACTITIONER POINTS: Many patients with anxiety disorders experience mood instability, which is associated with impulsivity, non-suicidal self-injury, and binge eating/purging. Treating mood instability alongside anxiety may help reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.427
Teacher spread0.392 · 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.

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

Citations36
Published2018
Admission routes1
Has abstractyes

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