Menopausal symptom clusters and their correlates in women with and without a history of breast cancer: a pooled data analysis from the Women's Wellness Research Program.

Seib, C; Porter-Steele, J; McGuire, A; McCarthy, A; Balaam, S; Anderson, DJ

Menopausal symptom clusters and their correlates in women with and without a history of breast cancer: a pooled data analysis from the Women's Wellness Research Program.

Seib, C Porter-Steele, J McGuire, A McCarthy, A Balaam, S Anderson, DJ

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Publisher:: Lippincott, Williams & Wilkins
Publication Type:: Journal Article
Citation:: Menopause: The Journal of the North American Menopause Society, 2017, 24, (6), pp. 624-634
Issue Date:: 2017-06

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Field	Value	Language
dc.contributor.author	Seib, C
dc.contributor.author	Porter-Steele, J
dc.contributor.author	McGuire, A
dc.contributor.author	McCarthy, A
dc.contributor.author	Balaam, S
dc.contributor.author	Anderson, DJ
dc.date.accessioned	2022-08-31T23:59:15Z
dc.date.available	2022-08-31T23:59:15Z
dc.date.issued	2017-06
dc.identifier.citation	Menopause: The Journal of the North American Menopause Society, 2017, 24, (6), pp. 624-634
dc.identifier.issn	1072-3714
dc.identifier.issn	1530-0374
dc.identifier.uri	http://hdl.handle.net/10453/161151
dc.description.abstract	OBJECTIVES: This analysis examined climacteric symptoms clusters in women with and without breast cancer, and explored how sociodemographic, health, and modifiable lifestyle factors predicted symptom clusters. METHODS: This pooled analysis of four Women's Wellness Research Program (WWRP) studies comprised individual-level data from 969 Australian women aged 40 to 63 years, 293 of whom had been previously treated for breast cancer and 678 without a breast cancer history. Climacteric symptoms, menopausal status, sociodemographic characteristics, and health and lifestyle factors were assessed. Principal component analysis was used to determine symptom clusters for each group separately before linear regression with backwards selection was used to identify the significant correlates of the identified clusters. RESULTS: Women with a history of breast cancer reported more sleep disturbance (P < 0.01), difficulty concentrating (P < 0.01), muscular/joint pain (P < 0.01), crying (P < 0.01) and irritability (P < 0.01), and vasomotor symptoms (P < 0.01) than women from the noncancer group. Principal component analysis with quartimax rotation revealed two distinct solutions explaining 60.9% and 57.6% of the variance in the groups, respectively. For both groups, symptom clusters were increased among those with unhealthy lifestyle behaviors (and chemotherapy among the after cancer group, P < 0.05 for all), though to a lesser extent in the breast cancer group. CONCLUSIONS: In this study, women after treatment for breast cancer reported a broad range of bothersome climacteric symptoms. Similar symptom clusters were also noted for women with and without a history of breast cancer, though correlates differed across groups, and might reflect different underlying etiologies.
dc.format	Print
dc.language	eng
dc.publisher	Lippincott, Williams & Wilkins
dc.relation.ispartof	Menopause: The Journal of the North American Menopause Society
dc.relation.isbasedon	10.1097/GME.0000000000000810
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	11 Medical and Health Sciences
dc.subject.classification	Obstetrics & Reproductive Medicine
dc.subject.mesh	Adult
dc.subject.mesh	Affect
dc.subject.mesh	Arthralgia
dc.subject.mesh	Australia
dc.subject.mesh	Body Mass Index
dc.subject.mesh	Breast Neoplasms
dc.subject.mesh	Depression
dc.subject.mesh	Diet
dc.subject.mesh	Exercise
dc.subject.mesh	Female
dc.subject.mesh	Health Promotion
dc.subject.mesh	Health Status
dc.subject.mesh	Hot Flashes
dc.subject.mesh	Humans
dc.subject.mesh	Life Style
dc.subject.mesh	Menopause
dc.subject.mesh	Middle Aged
dc.subject.mesh	Principal Component Analysis
dc.subject.mesh	Sleep Wake Disorders
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Women's Health
dc.subject.mesh	Adult
dc.subject.mesh	Affect
dc.subject.mesh	Arthralgia
dc.subject.mesh	Australia
dc.subject.mesh	Body Mass Index
dc.subject.mesh	Breast Neoplasms
dc.subject.mesh	Depression
dc.subject.mesh	Diet
dc.subject.mesh	Exercise
dc.subject.mesh	Female
dc.subject.mesh	Health Promotion
dc.subject.mesh	Health Status
dc.subject.mesh	Hot Flashes
dc.subject.mesh	Humans
dc.subject.mesh	Life Style
dc.subject.mesh	Menopause
dc.subject.mesh	Middle Aged
dc.subject.mesh	Principal Component Analysis
dc.subject.mesh	Sleep Wake Disorders
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Women's Health
dc.subject.mesh	Humans
dc.subject.mesh	Breast Neoplasms
dc.subject.mesh	Arthralgia
dc.subject.mesh	Hot Flashes
dc.subject.mesh	Body Mass Index
dc.subject.mesh	Exercise
dc.subject.mesh	Diet
dc.subject.mesh	Depression
dc.subject.mesh	Affect
dc.subject.mesh	Life Style
dc.subject.mesh	Health Status
dc.subject.mesh	Menopause
dc.subject.mesh	Principal Component Analysis
dc.subject.mesh	Adult
dc.subject.mesh	Middle Aged
dc.subject.mesh	Women's Health
dc.subject.mesh	Health Promotion
dc.subject.mesh	Australia
dc.subject.mesh	Female
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Sleep Wake Disorders
dc.title	Menopausal symptom clusters and their correlates in women with and without a history of breast cancer: a pooled data analysis from the Women's Wellness Research Program.
dc.type	Journal Article
utslib.citation.volume	24
utslib.location.activity	United States
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-31T23:59:13Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	6

Abstract:

OBJECTIVES: This analysis examined climacteric symptoms clusters in women with and without breast cancer, and explored how sociodemographic, health, and modifiable lifestyle factors predicted symptom clusters. METHODS: This pooled analysis of four Women's Wellness Research Program (WWRP) studies comprised individual-level data from 969 Australian women aged 40 to 63 years, 293 of whom had been previously treated for breast cancer and 678 without a breast cancer history. Climacteric symptoms, menopausal status, sociodemographic characteristics, and health and lifestyle factors were assessed. Principal component analysis was used to determine symptom clusters for each group separately before linear regression with backwards selection was used to identify the significant correlates of the identified clusters. RESULTS: Women with a history of breast cancer reported more sleep disturbance (P < 0.01), difficulty concentrating (P < 0.01), muscular/joint pain (P < 0.01), crying (P < 0.01) and irritability (P < 0.01), and vasomotor symptoms (P < 0.01) than women from the noncancer group. Principal component analysis with quartimax rotation revealed two distinct solutions explaining 60.9% and 57.6% of the variance in the groups, respectively. For both groups, symptom clusters were increased among those with unhealthy lifestyle behaviors (and chemotherapy among the after cancer group, P < 0.05 for all), though to a lesser extent in the breast cancer group. CONCLUSIONS: In this study, women after treatment for breast cancer reported a broad range of bothersome climacteric symptoms. Similar symptom clusters were also noted for women with and without a history of breast cancer, though correlates differed across groups, and might reflect different underlying etiologies.

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http://hdl.handle.net/10453/161151