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Record W2760206315 · doi:10.5432/jjpehss.kj00003390741

Effects of trait anxiety and exercise habits on psychological response to exercise

2002· article· en· W2760206315 on OpenAlexaff
Koji Takenaka, Hiroaki Uechi, Hirokazu Arai

Bibliographic record

VenueTaiikugaku kenkyu (Japan Journal of Physical Education Health and Sport Sciences) · 2002
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsProfile of mood statesAnxietyMoodPsychologyTrait anxietyState-Trait Anxiety InventoryDepression (economics)TraitPhysical exerciseClinical psychologyPhysical therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This study investigated the hypothesis that the effects of an acute bout of exercise on psychological response (PR), such as state anxiety and mood, may be influenced by individual levels of trait anxiety with exercise habits and anticipatory responses (AR) prior to the exercise. One hundred and two male and 48 female undergraduates in university athletic clubs were used as a sample of individuals with regular exercise habits, and 81 male and 55 female non-athletic students were used as a sample of individuals with non-exercise habits. The subjects completed the trait version of Spielberger's State-Anxiety Inventory (STAI-T) and the Activity Index as screening tests. From the high and low STAI-T students with exercise and non-exercise habits, 48 subjects were selected by gender for the experiment. All subjects completed the state version of the STAI (STAI-S) and the Profile of Mood States (POMS) as measures of AR prior to, and following a 12-min bicycle ergometer task with prior warm-up at a heart rate of 120 bpm. The results showed that the level of trait anxiety influenced the PR scores in the STAI-S and some subscales of the POMS, even after statistically controlling for their AR scores. The PR scores were affected by the AR scores of the STAI-S and depression of the POMS, while the AR scores had significantly closer relationships with the differences before and after the tests in the tension and fatigue subscales of the POMS than with the PR scores following exercise. These results suggest that PR following exercise depends on trait factors such as anxiety and exercise habit.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.044
GPT teacher head0.408
Teacher spread0.364 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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