Literature DB >> 24035068

A longitudinal analysis of symptom clusters in cancer patients and their sociodemographic predictors.

Bejoy C Thomas1, Amy Waller2, Rebecca L Malhi3, Tak Fung4, Linda E Carlson5, Shannon L Groff6, Barry D Bultz5.   

Abstract

CONTEXT: Exploring the relationships between concurrent symptoms or "symptom clusters" (SCs) longitudinally may complement the knowledge gained from the traditional approach of examining individual symptoms or SCs crosssectionally.
OBJECTIVES: To identify consistent SCs over the course of one year and determine the possible associations between SCs and demographic and medical characteristics, and between SCs and emotional distress.
METHODS: This study was an exploratory longitudinal analysis of SCs in a large sample of newly diagnosed cancer patients. Patients provided symptom assessment data at baseline, three, six, and 12 months. A factor analysis was conducted (controlling for the patient over time) on pain, fatigue, anxiety, depression, sleep, weight change, and food intake items to identify clusters. A panel regression on each cluster explored associations with demographic and medical characteristics and distress.
RESULTS: In total, 877 patients provided baseline data, with 505 retained at 12 months. Three SCs explained 71% of the variance. The somatic cluster included pain, fatigue, and sleep; the psychological cluster included anxiety and depression; and the nutrition cluster consisted of weight and food intake. Low income and treatment with radiation or chemotherapy predicted higher somatic symptom burden. Younger age, being female, low income, and treatment with surgery predicted more psychological symptomatology. Older age and treatment with surgery predicted higher nutritional burden. Patients with higher somatic, psychological, and nutritional symptom burden reported higher distress.
CONCLUSION: The presence of SCs across the first year of diagnosis supports the need for routine and ongoing screening for the range of symptoms that may be experienced by patients. Further work is needed to develop interventions that better target individual symptoms that cluster, as well as the entire cluster itself.
Copyright © 2014 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Symptom clusters; cancer; distress; factor analysis; longitudinal study; panel regression

Mesh:

Year:  2013        PMID: 24035068     DOI: 10.1016/j.jpainsymman.2013.04.007

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  17 in total

1.  The relationship between household income and patient-reported symptom distress and quality of life in children with advanced cancer: A report from the PediQUEST study.

Authors:  Maya F Ilowite; Hasan Al-Sayegh; Clement Ma; Veronica Dussel; Abby R Rosenberg; Chris Feudtner; Tammy I Kang; Joanne Wolfe; Kira Bona
Journal:  Cancer       Date:  2018-09-14       Impact factor: 6.860

2.  Stability of Symptom Clusters in Patients With Breast Cancer Receiving Chemotherapy.

Authors:  Carmen W Sullivan; Heather Leutwyler; Laura B Dunn; Bruce A Cooper; Steven M Paul; Jon D Levine; Marilyn Hammer; Yvette P Conley; Christine A Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-08-31       Impact factor: 3.612

3.  Stability of Symptom Clusters in Patients With Gastrointestinal Cancers Receiving Chemotherapy.

Authors:  Claire J Han; Kerryn Reding; Bruce A Cooper; Steven M Paul; Yvette P Conley; Marilyn Hammer; Kord M Kober; Jon D Levine; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2019-08-09       Impact factor: 3.612

4.  Longitudinal Changes in Symptom Cluster Membership in Inflammatory Bowel Disease.

Authors:  Samantha Conley; Sangchoon Jeon; Deborah D Proctor; Robert S Sandler; Nancy S Redeker
Journal:  J Nurs Scholarsh       Date:  2018-07-03       Impact factor: 3.176

5.  Stability of symptom clusters and sentinel symptoms during the first two cycles of adjuvant chemotherapy.

Authors:  Sun Young Rha; Mira Park; Jiyeon Lee
Journal:  Support Care Cancer       Date:  2018-08-17       Impact factor: 3.603

6.  Symptom clusters during palliative chemotherapy and their influence on functioning and quality of life.

Authors:  Sun Young Rha; Jiyeon Lee
Journal:  Support Care Cancer       Date:  2016-12-28       Impact factor: 3.603

7.  Cytokine Gene Polymorphisms Associated With Symptom Clusters in Oncology Patients Undergoing Radiation Therapy.

Authors:  Christine Miaskowski; Yvette P Conley; Judy Mastick; Steven M Paul; Bruce A Cooper; Jon D Levine; Mitchell Knisely; Kord M Kober
Journal:  J Pain Symptom Manage       Date:  2017-08-08       Impact factor: 3.612

Review 8.  Cancer Symptom Cluster Management.

Authors:  Kristine L Kwekkeboom
Journal:  Semin Oncol Nurs       Date:  2016-10-24       Impact factor: 2.315

9.  Presurgical symptom profiles predict quality of life 2 years after surgery in women with breast cancer.

Authors:  Mei-Ling Chen; Li-Ni Liu; Christine Miaskowski; Shin-Cheh Chen; Yung-Chang Lin; Jong-Shyan Wang
Journal:  Support Care Cancer       Date:  2015-05-27       Impact factor: 3.603

Review 10.  A review of the literature on symptom clusters in studies that included oncology patients receiving primary or adjuvant chemotherapy.

Authors:  Carmen Ward Sullivan; Heather Leutwyler; Laura B Dunn; Christine Miaskowski
Journal:  J Clin Nurs       Date:  2017-10-10       Impact factor: 3.036

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.