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Record W6981423915

The efficacy and mechanisms of personality-targeted interventions for alcohol misuse and mental disorders in adolescents

2016· dissertation· en· W6981423915 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Studies in Latin America
Canadian institutionsnot available
FundersEconomic and Social Research CouncilCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchKing's College LondonMedical Research CouncilJohn D. and Catherine T. MacArthur Foundation
KeywordsPsychological interventionMental healthAlcoholIntervention (counseling)Mental illnessMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

This thesis includes four studies pertaining to the efficacy and mechanisms of a personality-targeted intervention program for youth alcohol misuse and psychopathology. Study 1 examines the efficacy of the Preventure personality-targeted intervention program on internalising and externalising symptoms in high-risk youth when delivered by educational professionals. Results demonstrate that intervention participants report global reductions in depressive, anxiety and conduct symptoms relative to their control group counterparts, as well as reduced odds of severe depressive symptoms and conduct problems over two years. There is also some evidence for personality-specific intervention effects in youth most at risk for anxiety and conduct disorders. Study 2 explores the relationship between personality, attentional biases and mental disorders in a community adolescent sample. This study provides a preliminary examination of whether attentional biases may be a suitable target for preventive interventions to supplement the Preventure program. Results suggest that attentional biases to emotional faces are not concurrently or prospectively associated with symptoms of mental disorders. Instead, results provide further validation for a personality-targeted approach, as personality traits are associated with concurrent and prospective risk for mental disorders whilst accounting for baseline mental health symptoms. Studies 3 and 4 focus on understanding the mechanisms and process of the Preventure program across two randomised controlled trials. Study 3 explores mediators of two-year intervention effects on alcohol misuse and mental health symptoms. Results suggest that two-year intervention effects on binge drinking and alcohol-related problems are partially mediated by early changes in drinking behaviours. Global improvements in mood during the six months post-intervention were found to partially mediate two-year intervention effects on both internalising and externalising symptoms. The results suggest that early reductions in the growth in alcohol consumption or mental health symptoms may represent proximal markers of longer term intervention efficacy. Lastly, study 4 uses a mixed methods design to elucidate candidate process variables accounting for early indicators of treatment efficacy. The study combines both investigator-driven hypotheses and youth-generated feedback in order to elucidate key intervention features associated with positive behavioural changes. Findings suggest that youth experiences during group personality-targeted intervention sessions can influence the development of their subsequent alcohol-related behaviours (and, in some cases, in mental health symptoms) over twelve months. This study suggests that youth feedback can be used as an early indicator of treatment fidelity and efficacy. Together, these studies contribute to the literature in support of a personality-targeted approach to prevention and demonstrate the utility of process research in informing and refining the intervention approach.

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)0.003
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.322
Teacher spread0.300 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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