Quality of life trajectories after diagnosis of gynecologic cancer: a theoretically based approach

Brian D. Gonzalez, Sharon L. Manne, Jerod Stapleton, Shannon Myers-Virtue, Melissa Ozga, David Kissane, Carolyn Heckman, Mark Morgan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Purpose: The course of quality of life after diagnosis of gynecologic cancer is not well understood. We aimed to identify subgroups of gynecologic cancer patients with distinct trajectories of quality of life outcomes in the 18-month period after diagnosis. We also aimed to determine whether these subgroups could be distinguished by predictors derived from Social-Cognitive Processing Theory. Methods: Gynecologic cancer patients randomized to usual care as part of a psychological intervention trial (NCT01951807) reported on depressed mood, quality of life, and physical impairment soon after diagnosis and at five additional assessments ending 18 months after baseline. Clinical, demographic, and psychosocial predictors were assessed at baseline, and additional clinical factors were assessed between 6 and 18 months after baseline. Results: A two-group growth mixture model provided the best and most interpretable fit to the data for all three outcomes. One class revealed subclinical and improving scores for mood, quality of life, and physical function across 18 months. A second class represented approximately 12 % of patients with persisting depression, diminished quality of life, and greater physical disability. Membership of this high-risk subgroup was associated with holding back concerns, more intrusive thoughts, and use of pain medications at the baseline assessment (ps < .05). Conclusions: Trajectories of quality of life outcomes were identified in the 18-month period after diagnosis of gynecologic cancer. Potentially modifiable psychosocial risk factors were identified that can have implications for preventing quality of life disruptions and treating impaired quality of life in future research.

Original languageEnglish (US)
Pages (from-to)589-598
Number of pages10
JournalSupportive Care in Cancer
Volume25
Issue number2
DOIs
StatePublished - Feb 1 2017

All Science Journal Classification (ASJC) codes

  • Oncology

Keywords

  • Depression
  • Growth mixture modeling
  • Gynecologic neoplasms
  • Physical impairment
  • Quality of life

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