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Record W3029984936 · doi:10.1111/eip.12977

Pilot aerobic exercise intervention for youth at‐risk for serious mental illness

2020· article· en· W3029984936 on OpenAlexafffund
Syl Corbett, Megan S. Farris, Glenda MacQueen, Jean Addington

Bibliographic record

VenueEarly Intervention in Psychiatry · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersMathison Centre for Mental Health Research and EducationFondation Brain CanadaUniversity of Calgary
KeywordsAerobic exercisePhysical therapyAnxietyMedicineIntervention (counseling)Depression (economics)Exercise intensityHeart rateBlood pressurePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: This study was conducted as a pilot exercise intervention in youth at-risk for serious mental illness (SMI). The objectives were to examine the feasibility of an exercise intervention and to determine what improvement was observed, following participation in a moderate- to high-intensity aerobic exercise programme. METHODS: Forty-four male and female youth at-risk for SMI were recruited. Participants completed clinical, lifestyle and fitness assessments prior to and following a 16-week moderate- to high-intensity aerobic exercise intervention. Sixty-minute exercise sessions were held three times per week. RESULTS: Forty-one participants completed the entire intervention and assessments; thus, the retention rate was 93.2%. Exercise participants achieved a mean of 98.3 (standard deviation (SD) 26.1) minutes/week of high-intensity and a mean of 32.8 (SD 8.7) minutes/week of moderate-intensity aerobic exercise over the course of 16 weeks. Improvements in aerobic fitness and body composition as well as reductions in anxiety and depression were observed after the exercise intervention. CONCLUSION: Aerobic exercise is a feasible and sound intervention strategy in youth at-risk for SMI. Further research is required to expand upon these initial findings and develop knowledge of the mechanisms, optimum dose and factors that influence the efficacy of exercise.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.326
Teacher spread0.291 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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