The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Cardiac rehabilitation programmes: predictors of non-attendance and drop-out
Abstract
BACKGROUND: Despite evidence of its benefits, attendance at cardiac rehabilitation (CR) programmes is poor. Past studies to identify predictors of non-attendance have been limited by their small sample size, particularly for female patients. The present study was designed to identify socio-demographic and clinical predictors of non-attendance and drop-out separately for men and women automatically referred to CR programmes. METHOD AND SUBJECTS: Prospective study of CR programme attendance amongst 808 patients consecutively admitted over an 11-month period to one of two hospitals in Melbourne, Australia, after acute myocardial infarction (AMI), or to undergo coronary artery bypass graft surgery (CABGS) or percutaneous coronary intervention (PCI). RESULTS: Of the 652 eligible patients, 573 (88%) were successfully tracked at 4 months. Of these, 284 (49.6%) had attended a CR programme, while 272 (47.5%) had not. Using logistic regression, the significant predictors of programme non-attendance among men were having had a PCI, being a non-driver, and being aged 70 or more. The only factor predictive of non-attendance for women was being aged 70 or more. Amongst attenders, 67 (23.6%) patients discontinued the programme. Being a smoker, having diabetes and being unemployed at the time of hospital admission were predictive of programme drop-out by men. Being physically inactive at admission was predictive of programme drop-out by women. CONCLUSIONS: The present study demonstrated a relatively high rate of CR programme attendance. Special attention needs to be directed towards males who are older, PCI patients, smokers, unemployed or non-drivers, and females who are older or inactive.
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“Since physically active persons in general are better able to comply with physical activity interventions and maintain a healthy lifestyle than sedentary persons [49-51], incomplete or inconsistent information about baseline physical activity levels may have influenced our results.”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [50]
In the citing paper
“Since physically active persons in general are better able to comply with physical activity interventions and maintain a healthy lifestyle than sedentary persons [49-51]”
From Internet-based physical activity interventions: a systematic review of the literature. (2007) · cites this paper as [50]
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Metadata
- Authors
- Worcester, M. U. C., Murphy, B. M., Mee, V. K., Roberts, S. B., & Goble, A. J.
- Affiliations
- Heart Research Centre, Melbourne Victoria, Australia.
- Australian Centre for Heart Health (AU)
- ORCID
- Murphy, Barbara M.
- Venue
- European Journal of Cardiovascular Prevention & Rehabilitation
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-08
- Volume
- 11
- Issue
- 4
- Pages
- 328-335
- ISSN
- 1741-8267 (ISSN-L)
- OpenAlex
- W2134649309
- Cited by
- 176
- References
- 50
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 9 · 2019: 4 · 2018: 6 · 2017: 9 · 2016: 10 · 2015: 22 · 2014: 17 · 2013: 11 · 2012: 14
- FWCI
- 3.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Cardiovascular Prevention & Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart Foundation of Australia
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Keywords
- cardiac rehabilitation, sex differences, acute myocardial infarction, coronary artery bypass grafting, percutaneous coronary intervention, smoking, diabetes mellitus, unemployment, physical inactivity, elderly patients, non-drivers
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Coronary Artery Bypass, Female, Follow-Up Studies, Humans, Male, Middle Aged, Motor Activity, Myocardial Infarction, Predictive Value of Tests, Prospective Studies, Surveys and Questionnaires, Risk Factors, Sex Factors, Victoria, Program Evaluation, Angioplasty, Balloon, Coronary, Logistic Models, Treatment Refusal, Treatment Outcome
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