Cited by 62Cancer survivorship and careCancer-related cognitive impairment studiesChildhood Cancer Survivors' Quality of Life

A Longitudinal Analysis of Symptom Clusters in Cancer Patients and Their Sociodemographic Predictors

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Thomas, Bejoy C., Waller, Amy, Malhi, Rebecca L., Fung, Tak, Carlson, Linda E., Groff, Shannon L., Bultz, Barry D.·2014·Journal of Pain and Symptom Management

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.

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Research works printed but not linked: 3

  1. Miaskowski C, Dodd M, Lee K. Symptom clus- ters: the new frontier in symptom management re- search. J Natl Cancer Inst Monogr 2004;32:17e21.
  2. Schwartz AL, Meek PM, Nail LM, et al. Mea- surement of fatigue. Determining minimally impor- tant clinical differences. J Clin Epidemiol 2002;55: 239e244.
  3. Paccagnella A, Morassutti I, Rosti G. Nutri- tional intervention for improving treatment toler- ance in cancer patients. Curr Opin Oncol 2011;23: 322e330.

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Authors
Thomas, B. C., Waller, A., Malhi, R. L., Fung, T., Carlson, L. E., Groff, S. L., & Bultz, B. D.
Affiliations
  • University of Calgary (CA)
  • University of Newcastle Australia (AU)
Corresponding author
Thomas, Bejoy C.
Venue
Journal of Pain and Symptom Management
Publisher
Elsevier BV
Published
2014-03
Volume
47
Issue
3
Pages
566-578
ISSN
0885-3924 (ISSN-L)
OpenAlex
W2129691450
Cited by
62
References
76
Citations by year
2026: 4 · 2025: 6 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 7 · 2020: 4 · 2019: 8 · 2018: 7 · 2017: 4 · 2016: 7 · 2015: 3 · 2014: 2
FWCI
2.14
Type
journal article
Language
en
Open access
Locations
  • Journal of Pain and Symptom Management (publishedVersion)
  • PubMed (publishedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
Funders
  • Alberta Cancer Board Research Initiatives Program
  • Alberta Cancer Foundation
  • Canadian Cancer Society Alberta/NWT Division
  • Psychosocial Oncology Research Training Fellowship
  • Canadian Breast Cancer Foundation
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Childhood Cancer Survivors' Quality of Life
Keywords
symptom clusters, cancer patients, newly diagnosed cancer, somatic symptoms, psychological symptoms, emotional distress, anxiety, depression, pain, fatigue, sleep, weight change, dietary intake, sociodemographic predictors, low income, radiotherapy, chemotherapy, symptom screening
MeSH terms
Female, Humans, Longitudinal Studies, Male, Middle Aged, Neoplasms, Risk Factors, Socioeconomic Factors, Time Factors, Disease Progression

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