Fatigue After Breast Cancer Treatment: Biobehavioral Predictors of Fatigue Trajectories

Objective: Fatigue is a common side effect of cancer treatment, but there is considerable variability in fatigue severity and persistence among survivors. This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue...

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Veröffentlicht in:Health psychology 2018-11, Vol.37 (11), p.1025-1034
Hauptverfasser: Bower, Julienne E., Wiley, Joshua, Petersen, Laura, Irwin, Michael R., Cole, Steve W., Ganz, Patricia A.
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container_end_page 1034
container_issue 11
container_start_page 1025
container_title Health psychology
container_volume 37
creator Bower, Julienne E.
Wiley, Joshua
Petersen, Laura
Irwin, Michael R.
Cole, Steve W.
Ganz, Patricia A.
description Objective: Fatigue is a common side effect of cancer treatment, but there is considerable variability in fatigue severity and persistence among survivors. This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue trajectories. Methods: Women (N = 191) from the Mind-Body Study completed assessments after primary treatment for early stage breast cancer and at regular follow-ups that occurred up to 6 years after treatment (M = 4.3 years). Growth mixture models were used to characterize fatigue trajectories, and demographic, medical, and biobehavioral risk factors were examined as predictors of trajectory group. Results: Five trajectories were identified, characterized as High, Recovery, Late, Low, and Very Low fatigue. The High and Recovery groups (40% of sample) evidenced elevated fatigue at posttreatment that declined in Recovery but persisted in the High group. In bivariate analyses, trajectory groups differed significantly on depressive symptoms, sleep disturbance, childhood adversity, body mass index, and the inflammatory marker soluble TNF receptor type II, which were higher in the High and/or Recovery groups. In multivariate models, depressive symptoms and childhood adversity distinguished High and Recovery from other groups. Rates of chemotherapy were higher in the Recovery than in the High or Late group, whereas rates of endocrine therapy were higher in the High than in the Recovery group. Conclusions: There are distinct longitudinal trajectories of fatigue after breast cancer treatment. Psychological factors are strongly associated with adverse fatigue trajectories, and together with treatment exposures may increase risk for cancer-related fatigue.
doi_str_mv 10.1037/hea0000652
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This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue trajectories. Methods: Women (N = 191) from the Mind-Body Study completed assessments after primary treatment for early stage breast cancer and at regular follow-ups that occurred up to 6 years after treatment (M = 4.3 years). Growth mixture models were used to characterize fatigue trajectories, and demographic, medical, and biobehavioral risk factors were examined as predictors of trajectory group. Results: Five trajectories were identified, characterized as High, Recovery, Late, Low, and Very Low fatigue. The High and Recovery groups (40% of sample) evidenced elevated fatigue at posttreatment that declined in Recovery but persisted in the High group. In bivariate analyses, trajectory groups differed significantly on depressive symptoms, sleep disturbance, childhood adversity, body mass index, and the inflammatory marker soluble TNF receptor type II, which were higher in the High and/or Recovery groups. In multivariate models, depressive symptoms and childhood adversity distinguished High and Recovery from other groups. Rates of chemotherapy were higher in the Recovery than in the High or Late group, whereas rates of endocrine therapy were higher in the High than in the Recovery group. Conclusions: There are distinct longitudinal trajectories of fatigue after breast cancer treatment. Psychological factors are strongly associated with adverse fatigue trajectories, and together with treatment exposures may increase risk for cancer-related fatigue.</description><identifier>ISSN: 0278-6133</identifier><identifier>EISSN: 1930-7810</identifier><identifier>DOI: 10.1037/hea0000652</identifier><identifier>PMID: 30321021</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Adversity ; Antineoplastic Agents - therapeutic use ; Biomarkers ; Body Mass Index ; Breast cancer ; Breast Neoplasms ; Breast Neoplasms - pathology ; Breast Neoplasms - therapy ; Cancer therapies ; Chemotherapy ; Childhood ; Demographic Characteristics ; Depression - physiopathology ; Early Intervention ; Endocrine therapy ; Fatigue ; Fatigue - physiopathology ; Fatigue - psychology ; Female ; Follow-Up Studies ; Human ; Humans ; Inflammation ; Major Depression ; Mastectomy ; Mental depression ; Middle Aged ; Mind and body ; Psychological aspects ; Radiotherapy ; Recovery ; Recovery (Disorders) ; Risk Factors ; Severity ; Sleep disorders ; Sleep Wake Disorders ; Sleep Wake Disorders - physiopathology ; Survivor ; Symptoms ; Treatment ; Variability ; Women</subject><ispartof>Health psychology, 2018-11, Vol.37 (11), p.1025-1034</ispartof><rights>2018 American Psychological Association</rights><rights>2018, American Psychological Association</rights><rights>Copyright American Psychological Association Nov 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a472t-f92953568810a9746cbb82495dc4de6a1a9239f0227ef0a34bfb16c1232ba7d33</citedby><orcidid>0000-0002-1502-8431 ; 0000-0002-0271-6702</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902,30976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30321021$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Freedland, Kenneth E</contributor><creatorcontrib>Bower, Julienne E.</creatorcontrib><creatorcontrib>Wiley, Joshua</creatorcontrib><creatorcontrib>Petersen, Laura</creatorcontrib><creatorcontrib>Irwin, Michael R.</creatorcontrib><creatorcontrib>Cole, Steve W.</creatorcontrib><creatorcontrib>Ganz, Patricia A.</creatorcontrib><title>Fatigue After Breast Cancer Treatment: Biobehavioral Predictors of Fatigue Trajectories</title><title>Health psychology</title><addtitle>Health Psychol</addtitle><description>Objective: Fatigue is a common side effect of cancer treatment, but there is considerable variability in fatigue severity and persistence among survivors. This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue trajectories. Methods: Women (N = 191) from the Mind-Body Study completed assessments after primary treatment for early stage breast cancer and at regular follow-ups that occurred up to 6 years after treatment (M = 4.3 years). Growth mixture models were used to characterize fatigue trajectories, and demographic, medical, and biobehavioral risk factors were examined as predictors of trajectory group. Results: Five trajectories were identified, characterized as High, Recovery, Late, Low, and Very Low fatigue. The High and Recovery groups (40% of sample) evidenced elevated fatigue at posttreatment that declined in Recovery but persisted in the High group. In bivariate analyses, trajectory groups differed significantly on depressive symptoms, sleep disturbance, childhood adversity, body mass index, and the inflammatory marker soluble TNF receptor type II, which were higher in the High and/or Recovery groups. In multivariate models, depressive symptoms and childhood adversity distinguished High and Recovery from other groups. Rates of chemotherapy were higher in the Recovery than in the High or Late group, whereas rates of endocrine therapy were higher in the High than in the Recovery group. Conclusions: There are distinct longitudinal trajectories of fatigue after breast cancer treatment. 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Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bower, Julienne E.</au><au>Wiley, Joshua</au><au>Petersen, Laura</au><au>Irwin, Michael R.</au><au>Cole, Steve W.</au><au>Ganz, Patricia A.</au><au>Freedland, Kenneth E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fatigue After Breast Cancer Treatment: Biobehavioral Predictors of Fatigue Trajectories</atitle><jtitle>Health psychology</jtitle><addtitle>Health Psychol</addtitle><date>2018-11</date><risdate>2018</risdate><volume>37</volume><issue>11</issue><spage>1025</spage><epage>1034</epage><pages>1025-1034</pages><issn>0278-6133</issn><eissn>1930-7810</eissn><abstract>Objective: Fatigue is a common side effect of cancer treatment, but there is considerable variability in fatigue severity and persistence among survivors. This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue trajectories. Methods: Women (N = 191) from the Mind-Body Study completed assessments after primary treatment for early stage breast cancer and at regular follow-ups that occurred up to 6 years after treatment (M = 4.3 years). Growth mixture models were used to characterize fatigue trajectories, and demographic, medical, and biobehavioral risk factors were examined as predictors of trajectory group. Results: Five trajectories were identified, characterized as High, Recovery, Late, Low, and Very Low fatigue. The High and Recovery groups (40% of sample) evidenced elevated fatigue at posttreatment that declined in Recovery but persisted in the High group. In bivariate analyses, trajectory groups differed significantly on depressive symptoms, sleep disturbance, childhood adversity, body mass index, and the inflammatory marker soluble TNF receptor type II, which were higher in the High and/or Recovery groups. In multivariate models, depressive symptoms and childhood adversity distinguished High and Recovery from other groups. Rates of chemotherapy were higher in the Recovery than in the High or Late group, whereas rates of endocrine therapy were higher in the High than in the Recovery group. Conclusions: There are distinct longitudinal trajectories of fatigue after breast cancer treatment. Psychological factors are strongly associated with adverse fatigue trajectories, and together with treatment exposures may increase risk for cancer-related fatigue.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>30321021</pmid><doi>10.1037/hea0000652</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1502-8431</orcidid><orcidid>https://orcid.org/0000-0002-0271-6702</orcidid><oa>free_for_read</oa></addata></record>
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; EBSCOhost APA PsycARTICLES
subjects Adversity
Antineoplastic Agents - therapeutic use
Biomarkers
Body Mass Index
Breast cancer
Breast Neoplasms
Breast Neoplasms - pathology
Breast Neoplasms - therapy
Cancer therapies
Chemotherapy
Childhood
Demographic Characteristics
Depression - physiopathology
Early Intervention
Endocrine therapy
Fatigue
Fatigue - physiopathology
Fatigue - psychology
Female
Follow-Up Studies
Human
Humans
Inflammation
Major Depression
Mastectomy
Mental depression
Middle Aged
Mind and body
Psychological aspects
Radiotherapy
Recovery
Recovery (Disorders)
Risk Factors
Severity
Sleep disorders
Sleep Wake Disorders
Sleep Wake Disorders - physiopathology
Survivor
Symptoms
Treatment
Variability
Women
title Fatigue After Breast Cancer Treatment: Biobehavioral Predictors of Fatigue Trajectories
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