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Predictors of exercise frequency in breast cancer survivors in Taiwan

2011· article· en· W1934635201 on OpenAlexaff
Hsin‐Tien Hsu, Marylin J. Dodd, Su‐Er Guo, Kathryn A. Lee, Shiow‐Li Hwang, Yu‐Hung Lai

Bibliographic record

VenueJournal of Clinical Nursing · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsBreast cancerMedicinePhysical therapyQuality of life (healthcare)Repeated measures designSocial supportGerontologyCancerPsychologyInternal medicine

Abstract

fetched live from OpenAlex

AIM: To apply social cognitive theory to elucidate factors that motivate change in exercise frequency in breast cancer survivors during the six months after completing cancer treatment. BACKGROUND: Exercise is now a well-recognised quality-of-life intervention in breast cancer survivors. However, only regular exercise yields long-term benefits. Motivations for exercise have not been analysed in Taiwan patients with cancer. DESIGN: A prospective, longitudinal and repeated measures design was used. METHODS: A convenience sample of 196 breast cancer survivors was recruited from hospitals in metropolitan areas of north and south Taiwan. Study participants were allowed to select their preferred exercised activities. Exercise behaviour and other factors were then recorded using various standardised instruments. Medical charts were also reviewed. Data were analysed by a linear mixed model and by hierarchical multiple regression equations. RESULTS: Exercise frequency significantly changed over time. Explained variance in exercise frequency change was modest. Baseline exercise frequency was the best significant predictor of exercise frequency during the six-month study. The study also identified possible age-related differences in the effect of social support on exercise. The effect of social support for exercise on exercise frequency was apparently larger in older subjects, especially those over 40 years old, than in younger subjects. Mental health, exercise barriers and exercise outcome expectancy significantly contributed to change in exercise frequency during the six-month study. CONCLUSIONS: The analytical results revealed several ways to increase exercise frequency in breast cancer survivors: (1) encourage exercise as early as possible; (2) improve health status and provide social support for exercise, especially in women aged 40 years or older; (3) reduce exercise barriers and promote mental health; (4) reinforce self-efficacy and positive expectations of exercise outcomes and (5) provide strategies for minimising fatigue in early stages of rehabilitation. Relevance to clinical practice. Social cognitive theory provides a useful framework for understanding the motivation to exercise in breast cancer survivors.

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 score0.043
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.375
Teacher spread0.327 · 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

Citations26
Published2011
Admission routes1
Has abstractyes

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