Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.

Abstract

This study aimed to examine trajectories of cancer specific stress (CSS) over the course of a year, starting at the beginning of chemotherapy, and identify psychosocial factors that predicted trajectory class membership. Growth Mixture Modeling was used to identify distinct trajectories of CSS. Multinomial regression examined potential psychosocial predictors of trajectory membership. In the 4-class solution, all four trajectories demonstrated a decrease in CSS over the year but with differing intercepts and magnitudes of slopes. These were characterized as recovery, resilience, chronic, and severely chronic. The recovery group reported significantly higher insomnia scores than the resilient group. The chronic group reported significantly higher insomnia, higher depression, lower social support, and lower optimism than the resilient group. The chronic group reported significantly lower social support and higher depression than the recovery group. The findings provide information about psychosocial risk factors for CSS that can be screened for early intervention following diagnosis.