Literature DB >> 21708527

Subjective sleep quality, objective sleep characteristics, insomnia symptom severity, and daytime sleepiness in women aged 50 and older with nonmetastatic breast cancer.

Carol A Enderlin1, Elizabeth Ann Coleman, Catherine Cole, Kathy C Richards, Robert L Kennedy, Julia A Goodwin, Laura F Hutchins, Karen Mack.   

Abstract

PURPOSE/
OBJECTIVES: To examine subjective sleep quality in women aged 50 and older as predicted by cancer status, age, number of comorbidities, and symptoms of depressed mood; and to describe objective sleep characteristics, insomnia symptom severity, and daytime sleepiness.
DESIGN: Descriptive.
SETTING: Urban university and private oncology clinics in the southern United States. SAMPLE: 32 women with and 35 without nonmetastatic breast cancer, aged 50-90 years (X=64.9, SD=4.67).
METHODS: Two telephone interviews, the Pittsburgh Sleep Quality Index, Profile of Mood States, three days of home actigraphy, Insomnia Severity Index, Epworth Sleepiness Scale, and medical records review. MAIN RESEARCH VARIABLES: Subjective quality of sleep; secondary objectives were sleep characteristics, insomnia symptoms, and daytime sleepiness.
FINDINGS: Poor subjective sleep quality was predicted by depressed mood (p<0.00005). All mean objective sleep characteristics were similar for the breast cancer and comparison groups. Nocturnal awakenings were excessive (9.2 versus 7.3). Mean sleep onset latency was longer for the breast cancer group than for the comparison group (34.8 versus 15.6 minutes). Mean insomnia severity scores for the breast cancer group indicated subthreshold insomnia symptoms, and no clinically significant insomnia for the comparison group (8.9 versus 6.4). Mean daytime sleepiness scores were normal for both groups (7 versus 6).
CONCLUSIONS: Subjective sleep quality was predicted by depressed mood only. Sleep in the breast cancer group was characterized by poor sleep quality, frequent nocturnal awakenings, and insomnia symptoms. IMPLICATIONS FOR NURSING: Screening and monitoring in women aged 50 and older with breast cancer may help promote early sleep intervention; however, additional collaborative research regarding the underlying causes of sleep disruption is needed.

Entities:  

Mesh:

Year:  2011        PMID: 21708527     DOI: 10.1188/11.ONF.E314-E325

Source DB:  PubMed          Journal:  Oncol Nurs Forum        ISSN: 0190-535X            Impact factor:   2.172


  14 in total

1.  Exploring Relationships Among Peripheral Amyloid Beta, Tau, Cytokines, Cognitive Function, and Psychosomatic Symptoms in Breast Cancer Survivors.

Authors:  Ashley Henneghan; Andreana P Haley; Shelli Kesler
Journal:  Biol Res Nurs       Date:  2019-11-10       Impact factor: 2.522

2.  Association Between Discrimination and Objective and Subjective Sleep Measures in the Midlife in the United States Study Adult Sample.

Authors:  Sherry L Owens; Haslyn E R Hunte; Amanda Sterkel; Dayna A Johnson; Vicki Johnson-Lawrence
Journal:  Psychosom Med       Date:  2017-05       Impact factor: 4.312

3.  Polysomnographic Study of Sleep in Survivors of Breast Cancer.

Authors:  Ruth A Reinsel; Tatiana D Starr; Barbara O'Sullivan; Steven D Passik; Neil B Kavey
Journal:  J Clin Sleep Med       Date:  2015-12-15       Impact factor: 4.062

Review 4.  Incorporating measures of sleep quality into cancer studies.

Authors:  Nancy S Redeker; Wilfred R Pigeon; Eilis A Boudreau
Journal:  Support Care Cancer       Date:  2014-12-16       Impact factor: 3.603

5.  Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

Authors:  Ashley M Henneghan; Oxana Palesh; Michelle Harrison; Shelli R Kesler
Journal:  J Neuroimmunol       Date:  2018-04-19       Impact factor: 3.478

6.  Breast cancer survivorship symptom management: current perspective and future development.

Authors:  G van Londen; Eb Beckjord; Ma Dew; P Cuijpers; S Tadic; A Brufsky
Journal:  Breast Cancer Manag       Date:  2013-01

Review 7.  Measurements and status of sleep quality in patients with cancers.

Authors:  Dongying Chen; Zongyi Yin; Bo Fang
Journal:  Support Care Cancer       Date:  2017-10-23       Impact factor: 3.603

8.  Patient characteristics associated with sleep disturbance in breast cancer survivors.

Authors:  Chelsea G Ratcliff; Stephanie G Zepeda; Martica H Hall; Emily A Tullos; Shaelyn Fowler; Alejandro Chaoul; Amy Spelman; Banu Arun; Lorenzo Cohen
Journal:  Support Care Cancer       Date:  2020-09-22       Impact factor: 3.603

9.  Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer.

Authors:  Susan Grayson; Susan Sereika; Caroline Harpel; Emilia Diego; Jennifer G Steiman; Priscilla F McAuliffe; Susan Wesmiller
Journal:  Support Care Cancer       Date:  2021-07-10       Impact factor: 3.603

10.  A Cross-Sectional Exploration of Cytokine-Symptom Networks in Breast Cancer Survivors Using Network Analysis.

Authors:  Ashley Henneghan; Michelle L Wright; Garrett Bourne; Adam C Sales
Journal:  Can J Nurs Res       Date:  2020-06-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.