Abstract

This study applied network analyses to illustrate patterns of associations between cancer-related physical and psychological symptoms (CPPS) and quality of life (QOL) before and after surgery. Participants consisted of 256 gastric cancer patients admitted for curative section surgery at the surgical department in a teaching hospital in Korea between May 2016 and November 2017. Participants completed the survey, including MD Anderson Symptom Inventory, Hospital Anxiety and Depression Scale, and Functional Assessment of Cancer Therapy-Gastric Cancer before surgery (T0), 1 week after surgery (T1), and 3-6 months after surgery (T2). Three networks featured several salient connections with varying magnitudes between CPPS and QOL across all time points. Particularly, anxiety was tightly connected to emotional wellbeing (EWB) across all time points and physical wellbeing (PWB) at T1. On the other hand, depression was connected to functional wellbeing at T0 and T2, gastric cancer concerns (CS) at T1, and PWB at T2. Distress and sadness were the most central symptoms in the three networks. Other central symptoms included shortness of breath at T0, fatigue at T0 and T1, and PWB and CS at T2. Anxiety, depression, and EWB served as bridges connecting CPPS to QOL across all time points with varying degrees of importance, as did PWB at T1 and T2. Treating psychological distress and enhancing EWB and PWB can be high impact intervention targets throughout the cancer trajectory.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.