Symptom Experiences Among Individuals With Prostate Cancer and Their Partners: Influence of Sociodemographic and Cancer Characteristics

Shenmeng Xu, Xianming Tan, Peiran Guo, Chunxuan Ma, Katrina R. Ellis, Angela B. Smith, Laurel Northouse, Lixin Song

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVES: To determine if subgroups of individuals with prostate cancer and their partners could be identified based on their distinct symptom profiles and to identify and characterize subgroups based on sociodemographic and cancer characteristics. SAMPLE & SETTING: 263 individuals with prostate cancer and 263 partners recruited from three academic cancer centers in the Midwest. METHODS & VARIABLES: Latent class analysis was applied to divide individuals into subgroups based on symptom prevalence. Multinomial logistic regression models were used to estimate the prevalence of each symptom, predict subgroup membership, and adjust for direct or indirect effects of covariates on the symptoms. RESULTS: Three distinct subgroups (low, moderate, and high symptoms) were identified among individuals with prostate cancer and partners, respectively. Education and household income of individuals with prostate cancer were associated with different symptom burdens. Partners’ household income differentiated among the subgroups. IMPLICATIONS FOR NURSING: Understanding the influence of sociodemographic and cancer characteristics can inform risk stratification and tailored symptom management interventions.

Original languageEnglish (US)
Pages (from-to)230-240
Number of pages11
JournalOncology nursing forum
Volume50
Issue number2
DOIs
StatePublished - Mar 2023

Keywords

  • cancer caregivers
  • latent class analysis
  • prostate cancer
  • symptom cluster research

ASJC Scopus subject areas

  • Oncology(nursing)

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