Symptom Clusters and Quality of Life in Cervical Cancer Patients Receiving Concurrent Chemoradiotherapy: The Mediating Role of Illness Perceptions.

Abstract

OBJECTIVES:

Although studies shows that symptom clusters and illness perceptions are negatively associated with quality of life (QoL), it is unclear how these variables of cervical cancer patients who receive concurrent chemoradiotherapy (CCRT) relate to each other. This study aimed to identify the symptom clusters in cervical cancer patients who receive CCRT and evaluate the mediating effect of illness perceptions on the relationship between symptom clusters and QoL.

METHODS:

A cross-sectional survey was conducted on 286 cervical cancer patients receiving CCRT from October 2019 to October 2020. M.D. Anderson Symptom Inventory, Brief Illness Perception Questionnaire, and Functional Assessment Cancer Therapy-Cervix were applied to investigate the symptom clusters, illness perceptions and QoL of the participants, respectively. Exploratory factor analysis was conducted to identify symptom clusters. The relationships among symptom clusters, illness perceptions, and QoL were analyzed with the structural equation modeling.

RESULTS:

A total of four symptom clusters were identified, including psychological status symptom cluster, therapy side-effect symptom cluster, sickness symptom cluster, and gastrointestinal symptom cluster (χ2 = 1,552.282, Df = 78, P < 0.001). Symptom clusters, illness perceptions, and QoL were significantly correlated. Symptom clusters had significant direct (β = -0.38, P < 0.001) and indirect effects (β = -0.21, P < 0.001) on QoL.

CONCLUSION:

Illness perceptions played a significant mediating role between symptom clusters and QoL in cervical cancer patients receiving CCRT. Strategies like prompting effective symptom management for the purposes of alleviating illness perceptions may contribute to improving their QoL.

• Authors: Lan Zhang, Jia Wang, Tangzhen Chen, Min Tian, Qimin Zhou, Jianhua Ren
• Journal: Frontiers in psychiatry (Front Psychiatry) Vol. 12 Pg. 807974 ( 2021) ISSN: 1664-0640 [Print] Switzerland
• PMID: 35173639 (Publication Type: Journal Article)
• Copyright: Copyright © 2022 Zhang, Wang, Chen, Tian, Zhou and Ren.