Worse Depression Profiles Are Associated With Higher Symptom Burden and Poorer Quality of Life in Patients With Gynecologic Cancer

Author:

Calvo-Schimmel Alejandra,Hammer Marilyn J.,Wright Alexi A.,Blank Stephanie V.,Cohen Bevin,Harris Carolyn,Shin Joosun,Conley Yvette,Paul Steven,Cooper Bruce,Levine Jon D.,Miaskowski Christine

Abstract

Background Depression is a pervasive symptom in patients with gynecological cancer undergoing chemotherapy. Objectives Purposes were to identify subgroups of patients with distinct depression profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life (QOL) outcomes among these subgroups. Methods Patients with gynecological cancer (n = 231) completed the Center for Epidemiologic Studies–Depression Scale 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct depression profiles. Differences were evaluated using parametric and nonparametric tests. Results Three distinct profiles were identified: low (60.1%), high (35.1%), and very high (4.8%). Compared with low class, the other 2 classes had lower functional status and were more likely to self-report a diagnosis of depression. Patients in the 2 worse profiles reported a higher comorbidity burden, higher levels of trait and state anxiety, sleep disturbance, and fatigue, as well as lower levels of cognitive function and poorer QOL. State and trait anxiety, evening fatigue, and sleep disturbance scores exhibit a “dose-response effect” (ie, as the depression profile worsened, the severity of these symptoms increased). Conclusions Almost 40% of our sample experienced high or very high levels of depression across 2 cycles of chemotherapy. Implications for Practice Clinicians can use the identified risk factors to identify high patients risk and provide tailored psychological interventions aimed to decrease symptom burden and prevent decrements in QOL.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Oncology (nursing),Oncology

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