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Record W1970561552 · doi:10.1177/0829573510386449

The Prevention of Depression and Anxiety in a Sample of High-Risk Adolescents: A Randomized Controlled Trial

2010· article· en· W1970561552 on OpenAlexaff
Keith S. Dobson, Jamie Ahnberg Hopkins, Ladan Fata, Martin C. Scherrer, Lauren Allan

Bibliographic record

VenueCanadian Journal of School Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAnxietyPsychologyRandomized controlled trialClinical psychologyDepression (economics)MoodIntervention (counseling)CognitionPsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

This study investigated the efficacy of cognitive behavioural therapy (CBT) techniques in preventing depression and anxiety in a group of adolescent high school students with elevated risk for developing emotional disorders. Students were screened using a measure of depression severity and clinical interview. Following screening procedures, students at risk for, but not currently diagnosed with, depression were randomly assigned to one of two intervention groups: a CBT ( n = 25) or an active control group ( n = 21). Assessment measures were administered before treatment, after treatment, and at 3- and 6-month follow-up. Both groups exhibited significant improvements in mood symptomatology and self-esteem outcomes over time. Significant differences between groups were not observed at posttreatment and two follow-up points of assessment. The efficacy of CBT techniques was also examined using a “benchmarking” strategy. The limitations of this study and future research directions are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.286
Teacher spread0.275 · 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 designRandomized trial
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

Citations35
Published2010
Admission routes1
Has abstractyes

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