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. 2024 Jul;20(7):921-931.
doi: 10.1200/OP.24.00076. Epub 2024 Mar 11.

Demographic and Clinical Factors Associated With Health-Related Quality-of-Life Profiles Among Prostate Cancer Survivors

Affiliations

Demographic and Clinical Factors Associated With Health-Related Quality-of-Life Profiles Among Prostate Cancer Survivors

Arnold L Potosky et al. JCO Oncol Pract. 2024 Jul.

Abstract

Purpose: Our purpose was to describe the prevalence and predictors of symptom and function clusters related to physical, emotional, and social components of general health-related quality of life (HRQOL) in a population-based sample of prostate cancer (PCa) survivors.

Methods: Participants (N = 1,162) completed a baseline survey at a median of 9 months after diagnosis to ascertain the co-occurrence of eight symptom and functional domains that are common across all cancers and not treatment-specific. We used latent profile analysis (LPA) to identify subgroup profiles of survivors with low, moderate, or high HRQOL levels. Multinomial logistic regression models were used to identify clinical and sociodemographic factors associated with survivors' membership in the low versus moderate or high HRQOL profile.

Results: The LPA identified 16% of survivors who were categorized in the low HRQOL profile at baseline, indicative of the highest symptom burden and lowest functioning. Factors related to survivors' membership in the low versus higher HRQOL profile groups included less than age 65 years at diagnosis, identifying as non-Hispanic Black race, not working, being a former versus never smoker, systemic therapy, less companionship, more comorbidities, lower health care financial well-being, or less spirituality. Several factors remained associated with remaining in the low versus higher HRQOL profiles on the follow-up survey (n = 699), including younger age, Black race, comorbidity, and lower financial and spiritual well-being.

Conclusion: About one of six PCa survivors experienced elevated physical and psychosocial symptoms that were independent of local curative therapy, but with younger age, race, comorbidity, and lower financial and spiritual well-being as stable risk factors for poor HRQOL over time.

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Conflict of interest statement

Author contributions: ALP was responsible for funding acquisition, supervision, project administration, data curation, and the original draft; JA and YX and LL were responsible for formal analysis; JA, BBR, LL, WP were responsible for methodology; all authors contributed to study conceptualization, and review and editing.

The opinions and assertions expressed herein are those of the author(s) and do not reflect the official policy or position of the Uniformed Services University of the Health Sciences or the Department of Defense.

Declarations

Conflicts of Interest: The authors have no relevant conflicts to disclose.

Figures

Figure 1
Figure 1. Latent Profile Analysis 3-Profile Group Result
(N=1162 Prostate Cancer Survivors, Baseline Survey) X-axis: Health-Related Quality of Life (HRQOL) Domains Left Y-axis: PROMIS T-Score for Function Domains Right Y-axis: PROMIS T-Score for Symptom Domains PROMIS® measures use a T-score metric in which 50 is the mean of a relevant reference population and 10 is the standard deviation (SD) of that population. PROMIS®= Patient Reported Outcomes Measurement Information System

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