Do Social, Lifestyle and Cardiovascular Risk Factors Predict Dropout from Cardiac Rehabilitation Programs? A Longitudinal Cohort Study

Rao, A; Zecchin, R; Denniss, AR; Hickman, L; DiGiacomo, M; Phillips, J; Newton, P

Do Social, Lifestyle and Cardiovascular Risk Factors Predict Dropout from Cardiac Rehabilitation Programs? A Longitudinal Cohort Study

Rao, A Zecchin, R Denniss, AR Hickman, L DiGiacomo, M

Phillips, J Newton, P

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Publisher:: Elsevier BV
Publication Type:: Conference Proceeding
Citation:: Abstracts for the 68th Cardiac Society of Australia and New Zealand Annual Scientific Meeting, the International Society for Heart Research Australasian Section Annual Scientific Meeting and the 14th Annual Australia and New Zealand Endovascular Therapies Meeting, 11–13 December 2020, 2020, 29, pp. S45-S45
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Rao, A
dc.contributor.author	Zecchin, R
dc.contributor.author	Denniss, AR
dc.contributor.author	Hickman, L
dc.contributor.author	DiGiacomo, M https://orcid.org/0000-0001-5484-8224
dc.contributor.author	Phillips, J
dc.contributor.author	Newton, P
dc.date	2020-12-11
dc.date.accessioned	2021-03-10T23:25:30Z
dc.date.available	2021-03-10T23:25:30Z
dc.date.issued	2020-12-01
dc.identifier.citation	Abstracts for the 68th Cardiac Society of Australia and New Zealand Annual Scientific Meeting, the International Society for Heart Research Australasian Section Annual Scientific Meeting and the 14th Annual Australia and New Zealand Endovascular Therapies Meeting, 11–13 December 2020, 2020, 29, pp. S45-S45
dc.identifier.issn	1443-9506
dc.identifier.uri	http://hdl.handle.net/10453/147008
dc.description.abstract	Background: While cardiac rehabilitation (CR) programs reduce the risk of further cardiac events and improve symptom management, many eligible people do not attend or do not complete these programs. Further, little is known about the characteristics of people who drop out compared to those who complete CR. Aims: To determine the prevalence, correlates and predictors of dropout from CR. Methods: This is an administrative database of all participants consecutively enrolled in one outpatient CR program in Sydney between 2006-2017. Items assessed included demographics, diagnoses, co-morbidities, quality of life (MOS SF-36), psychological health (DASS-21), lifestyle factors and physical assessment. Dropout was defined as those who did not complete a 6 or 12-week outpatient CR program and did not complete post CR assessment. Results: Of 3350 who entered CR, 784 (23%) dropped out of a 6 or 12-week CR program. Smoking (OR 2.487; 95% CI: 1.951–3.170) or being divorced or separated (OR 2.066; 95% CI: 1.511-2.824) doubled the risk of dropout from CR, while younger age (,55 years) increased the risk of non-completion by 1.8 times (95% CI: 1.457–2.357). Risk factors including depressive symptoms (OR 1.448, 95% CI: 1.136–1.847) diabetes (OR 1.455; 95% CI: 1.145-1.848), sedentary lifestyle (OR 1.334; 95% CI: 1.059–1.680) and obesity (OR 1.612; 95% CI: 1.284–2.023) also increased the risk of dropout from CR. Conclusion: To improve CR program completion rates, clinicians need to consider the impact of social, lifestyle and cardiovascular risk factors on a person’s ability to adhere to CR.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Abstracts for the 68th Cardiac Society of Australia and New Zealand Annual Scientific Meeting, the International Society for Heart Research Australasian Section Annual Scientific Meeting and the 14th Annual Australia and New Zealand Endovascular Therapies Meeting, 11–13 December 2020
dc.relation.ispartof	Cardiac Society of Australia and New Zealand
dc.relation.isbasedon	10.1016/j.hlc.2020.09.025
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	1102 Cardiorespiratory Medicine and Haematology, 1117 Public Health and Health Services
dc.subject.classification	Cardiovascular System & Hematology
dc.title	Do Social, Lifestyle and Cardiovascular Risk Factors Predict Dropout from Cardiac Rehabilitation Programs? A Longitudinal Cohort Study
dc.type	Conference Proceeding
utslib.citation.volume	29
utslib.location.activity	Virtual
utslib.for	1102 Cardiorespiratory Medicine and Haematology
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2022-01-01T00:00:00+1000Z
dc.date.updated	2021-03-10T23:25:26Z
pubs.finish-date	2020-12-13
pubs.publication-status	Unpublished
pubs.start-date	2020-12-11
pubs.volume	29

Abstract:

Background: While cardiac rehabilitation (CR) programs reduce the risk of further cardiac events and improve symptom management, many eligible people do not attend or do not complete these programs. Further, little is known about the characteristics of people who drop out compared to those who complete CR. Aims: To determine the prevalence, correlates and predictors of dropout from CR. Methods: This is an administrative database of all participants consecutively enrolled in one outpatient CR program in Sydney between 2006-2017. Items assessed included demographics, diagnoses, co-morbidities, quality of life (MOS SF-36), psychological health (DASS-21), lifestyle factors and physical assessment. Dropout was defined as those who did not complete a 6 or 12-week outpatient CR program and did not complete post CR assessment. Results: Of 3350 who entered CR, 784 (23%) dropped out of a 6 or 12-week CR program. Smoking (OR 2.487; 95% CI: 1.951–3.170) or being divorced or separated (OR 2.066; 95% CI: 1.511-2.824) doubled the risk of dropout from CR, while younger age (,55 years) increased the risk of non-completion by 1.8 times (95% CI: 1.457–2.357). Risk factors including depressive symptoms (OR 1.448, 95% CI: 1.136–1.847) diabetes (OR 1.455; 95% CI: 1.145-1.848), sedentary lifestyle (OR 1.334; 95% CI: 1.059–1.680) and obesity (OR 1.612; 95% CI: 1.284–2.023) also increased the risk of dropout from CR. Conclusion: To improve CR program completion rates, clinicians need to consider the impact of social, lifestyle and cardiovascular risk factors on a person’s ability to adhere to CR.

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http://hdl.handle.net/10453/147008