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Record W4321372507 · doi:10.1080/87568225.2023.2181255

CBT + Exercise vs Treatment as Usual in Treating Anxiety and Depression in University Students: A Pilot Study

2023· article· en· W4321372507 on OpenAlexaff
Breagh C. Newcombe, Janine V. Olthuis, Matthew MacLean, Ryan Hamilton, Taylor McAulay

Bibliographic record

VenueJournal of College Student Mental Health · 2023
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAnxietyClinical psychologyDepression (economics)MoodIntervention (counseling)Session (web analytics)Physical therapyPsychologyCognitive behavioral therapyCognitionPsychotherapistMedicinePsychiatry

Abstract

fetched live from OpenAlex

The current pilot study tested the feasibility and preliminary efficacy of a combined group cognitive behavioral therapy and exercise intervention (CBT+E), as compared to treatment as usual (TAU) for managing anxiety and mood symptoms in university students. Participants were 16 undergraduate students with at least mild anxiety, depression, or stress symptoms. Participants were randomly assigned to group CBT+E or TAU. CBT+E ran for seven weeks with group sessions held twice weekly. The first weekly session consisted of group CBT followed by 30 minutes of running and the second weekly session consisted of only group running. Findings suggest that the group CBT+E intervention is feasible in terms of retention and participation, but that recruitment strategies need to be improved. Suggestions to improve recruitment in future research are provided. Preliminary efficacy data show positive trends suggesting further pursuit of this type of intervention is important.

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 score0.087
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.440
Teacher spread0.387 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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