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Record W2509869717 · doi:10.1080/14330237.2016.1185907

Physical activity and psychosomatic-related health problems as correlates of quality of life among university students

2016· article· en· W2509869717 on OpenAlexfundno aff
Stèfan Krüger, Energy Sonono

Bibliographic record

VenueJournal of Psychology in Africa · 2016
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
FundersPublic Health Agency of Canada
KeywordsPsychologyQuality of life (healthcare)MediationPhysical activityClinical psychologyStructural equation modelingPhysical healthDevelopmental psychologyGerontologyMental healthMedicinePsychiatryPsychotherapistPhysical therapy

Abstract

fetched live from OpenAlex

This study aimed to investigate the role of psychosomatic problems in the relationship between physical activity and healthrelated quality of life. Participants were a convenience sample of 703 students from a South African university (males = 38.8%, females = 61.2%, mean age = 19.6 years, SD = 1.26 years). The students completed measures of physical activity, psychosomatic-related health problems and quality of life-related. The hypothesised model was tested using structural equation modelling (SEM). The empirical findings revealed that psychosomatic problems mediated the relationship between physical activity and quality of life. In fact, the mediation analyses showed a partial effect of physical activity on quality of life in that those students with less self-reported activity experienced several psychosomatic-related health problems.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.061
GPT teacher head0.401
Teacher spread0.340 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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