Sleep and health-related quality of life in women following a cancer diagnosis: results from the Women's Wellness after Cancer Program in Australia.

Edmed, SL; Huda, MM; Smith, SS; Seib, C; Porter-Steele, J; Anderson, D; McCarthy, AL

Sleep and health-related quality of life in women following a cancer diagnosis: results from the Women's Wellness after Cancer Program in Australia.

Edmed, SL Huda, MM Smith, SS Seib, C Porter-Steele, J Anderson, D

McCarthy, AL

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Support Care Cancer, 2022, pp. 1-11
Issue Date:: 2022-11-09

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Field	Value	Language
dc.contributor.author	Edmed, SL
dc.contributor.author	Huda, MM
dc.contributor.author	Smith, SS
dc.contributor.author	Seib, C
dc.contributor.author	Porter-Steele, J
dc.contributor.author	Anderson, D https://orcid.org/0000-0001-8996-9624
dc.contributor.author	McCarthy, AL
dc.date.accessioned	2022-12-01T00:47:22Z
dc.date.available	2022-10-20
dc.date.available	2022-12-01T00:47:22Z
dc.date.issued	2022-11-09
dc.identifier.citation	Support Care Cancer, 2022, pp. 1-11
dc.identifier.issn	0941-4355
dc.identifier.issn	1433-7339
dc.identifier.uri	http://hdl.handle.net/10453/163967
dc.description.abstract	PURPOSE: Sleep disturbance after cancer treatment could compromise recovery. This paper examined the associations between post-treatment sleep problems and health-related quality of life (HRQoL), and the effectiveness of an e-enabled lifestyle intervention on sleep outcomes. METHODS: The Women's Wellness after Cancer Program (WWACP) was examined in a single blinded, multi-centre randomised controlled trial. Data were collected from 351 women (Mage = 53.2, SD = 8.8; intervention n = 175, control group n = 176) who had completed surgery, chemotherapy and/or radiotherapy for breast, gynaecological or blood cancers within the previous 24 months. Participants completed the Pittsburgh Sleep Quality Index (PSQI) at baseline (prior to intervention randomisation), and at 12 and 24 weeks later. Sociodemographic information, menopausal symptoms (Greene Climacteric Scale) and HRQoL (36-Item Short Form Health Survey; SF-36) were also collected. Linear panel regression was used to examine the association between sleep variables and SF36 Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. A difference-in-difference regression model approach was used to examine the intervention effect on the sleep outcomes. RESULTS: After adjustment for potential confounders, the sleep variables (except sleep duration) significantly predicted physical, but not mental, HRQoL. There was no statistically significant effect of the intervention on sleep outcomes at 12 or 24 weeks. CONCLUSION: Women who have completed treatment for cancer experience sleep problems that are associated with decreased physical HRQoL. Improving sleep through targeted interventions should improve their physical HRQoL. Improved targeting of the sleep components of the WWACP should be explored.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Support Care Cancer
dc.relation.isbasedon	10.1007/s00520-022-07429-0
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences
dc.subject.classification	Oncology & Carcinogenesis
dc.title	Sleep and health-related quality of life in women following a cancer diagnosis: results from the Women's Wellness after Cancer Program in Australia.
dc.type	Journal Article
utslib.location.activity	Germany
utslib.for	11 Medical and Health Sciences
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	open_access	*
dc.date.updated	2022-12-01T00:47:21Z
pubs.publication-status	Published online

Abstract:

PURPOSE: Sleep disturbance after cancer treatment could compromise recovery. This paper examined the associations between post-treatment sleep problems and health-related quality of life (HRQoL), and the effectiveness of an e-enabled lifestyle intervention on sleep outcomes. METHODS: The Women's Wellness after Cancer Program (WWACP) was examined in a single blinded, multi-centre randomised controlled trial. Data were collected from 351 women (Mage = 53.2, SD = 8.8; intervention n = 175, control group n = 176) who had completed surgery, chemotherapy and/or radiotherapy for breast, gynaecological or blood cancers within the previous 24 months. Participants completed the Pittsburgh Sleep Quality Index (PSQI) at baseline (prior to intervention randomisation), and at 12 and 24 weeks later. Sociodemographic information, menopausal symptoms (Greene Climacteric Scale) and HRQoL (36-Item Short Form Health Survey; SF-36) were also collected. Linear panel regression was used to examine the association between sleep variables and SF36 Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. A difference-in-difference regression model approach was used to examine the intervention effect on the sleep outcomes. RESULTS: After adjustment for potential confounders, the sleep variables (except sleep duration) significantly predicted physical, but not mental, HRQoL. There was no statistically significant effect of the intervention on sleep outcomes at 12 or 24 weeks. CONCLUSION: Women who have completed treatment for cancer experience sleep problems that are associated with decreased physical HRQoL. Improving sleep through targeted interventions should improve their physical HRQoL. Improved targeting of the sleep components of the WWACP should be explored.

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http://hdl.handle.net/10453/163967