Patient-Factors Influencing the 2-Year Trajectory of Mental and Physical Health in Prostate Cancer Patients

Curr Oncol. 2022 Oct 31;29(11):8244-8260. doi: 10.3390/curroncol29110651.

Abstract

This study aimed to examine the physical and mental Quality of Life (QoL) trajectories in prostate cancer (PCa) patients participating in the Pros-IT CNR study. QoL was assessed using the Physical (PCS) and Mental Component Score (MCS) of Short-Form Health Survey upon diagnosis and two years later. Growth mixture models were applied on 1158 patients and 3 trajectories over time were identified for MCS: 75% of patients had constantly high scores, 13% had permanently low scores and 12% starting with low scores had a recovery; the predictors that differentiated the trajectories were age, comorbidities, a family history of PCa, and the bowel, urinary and sexual functional scores at diagnosis. In the physical domain, 2 trajectories were defined: 85% of patients had constantly high scores, while 15% started with low scores and had a further slight decrease. Two years after diagnosis, the psychological and physical status was moderately compromised in more than 10% of PCa patients. For mental health, the trajectory analysis suggested that following the compromised patients at diagnosis until treatment could allow identification of those more vulnerable, for which a level 2 intervention with support from a non-oncology team supervised by a clinical psychologist could be of help.

Keywords: SF-12; growth mixture model; health related quality of life; prostate cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Comorbidity
  • Humans
  • Male
  • Prostatic Neoplasms* / psychology
  • Prostatic Neoplasms* / therapy
  • Quality of Life* / psychology

Grants and funding

Pros-IT CNR is a non-profit observational study. Takeda Italia S.p.A. provided an unconditional grant to the CNR to cover the costs of the preparatory meetings, the meetings of the advisory committees and the PIs, and the cost of developing a web platform for data entry.