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The Relationship Between Psychosocial State and Exercise Behavior of Older Women 2 Months After Hip Fracture

2007· article· en· W2031949516 on OpenAlexaff
Barbara Resnick, Denise Orwig, William Hawkes, Michelle Shardell, Justine Golden, Michele Werner, Sheryl Zimmerman, Jay Magaziner

Bibliographic record

VenueRehabilitation Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersNational Institute on Aging
KeywordsPsychosocialMoodHip fractureFear of fallingMental healthMedicinePhysical therapyPsychologyClinical psychologyPoison controlInjury preventionPsychiatryOsteoporosis

Abstract

fetched live from OpenAlex

Despite the potential benefits associated with exercise after hip fracture, those who have sustained hip fractures are among the least likely to engage in regular exercise (resistive or aerobic). This article describes the psychosocial state, specifically the self-efficacy expectations and outcome expectations related to exercise, mood, fear of falling, pain, and health status of older women who enrolled in either of two Baltimore Hip Studies (BHS), BHS-4 and BHS-5, and to test a self-efficacy-based model to explain exercise behavior after hip fracture. A total of 389 older women with hip fractures participated in these studies. The participants reported moderate confidence in their ability to exercise and a general belief in the benefits of exercise, high perceived health status, limited depressive symptoms, and some pain and fear of falling. Consistently across these two samples, age and mental status or depressive symptoms influenced outcome expectations, such that older women with more depressive symptoms or lower mental health status had weaker outcome expectations for exercise. Self-efficacy expectations consistently influenced exercise behavior across both samples. It was also consistent across both models that age, cognitive status, physical and mental health status, pain, fear, outcome expectations, and depressive symptoms did not directly influence exercise behavior.

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 score0.156
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.368
Teacher spread0.353 · 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

Citations27
Published2007
Admission routes1
Has abstractyes

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