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Record W4381715076 · doi:10.1123/japa.2022-0204

Exercise and Health Anxiety in Older Women: Exploring the Mediating Role of Anxiety Sensitivity

2023· article· en· W4381715076 on OpenAlexaff
Kyoungsil Nah, Janine V. Olthuis

Bibliographic record

VenueJournal of Aging and Physical Activity · 2023
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAnxietyAnxiety sensitivityAssociation (psychology)Clinical psychologyPsychological interventionPsychologyMedicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Research shows that health anxiety significantly affects older adults' health and quality of life. Although exercise may be associated with lower health anxiety, research on older adults is limited, and the mechanism remains unknown. This study examined the association between exercise and health anxiety in older women and the mediating role of anxiety sensitivity in this association. Participants were 166 women aged 65+ years, without health problems that prevented them from exercising. Participants were recruited via Facebook advertisements. They completed an online self-report questionnaire including measures of health anxiety, physical activity, and anxiety sensitivity. The SPSS PROCESS macro was used to examine the association between exercise and health anxiety, and the role of anxiety sensitivity as a mediator. Results indicated that greater participation in exercise was associated with lower health anxiety, and anxiety sensitivity mediated the association. Findings suggest that exercise-based interventions might prevent health anxiety in older adults.

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)0.000
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 score0.914
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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