Body image mediates the relationship between post-surgery needs and health-related quality of life among women with breast cancer: a cross-sectional study.

Background: Although body image (BI) disturbance is a common problem that often contributes to poor health-related quality of life (HRQoL) among women with breast cancer following surgery, the mediating role of BI (as a self-perceptive factor) in the relationship between needs and HRQoL after controlling for socio-demographic factors remains unclear. The purpose of this study was to identify the mediating role of BI between post-surgery needs and HRQoL after controlling for socio-demographic factors among women with breast cancer.
Methods: In this cross-sectional study, the primary outcome was HRQoL (as measured with the 36-item Short-Form Health Survey version 2 [SF-36v2] and Functional Assessment of Cancer Therapy-Breast version 4.0 [FACT-Bv4.0]). The secondary outcomes included needs (measured in terms of needs importance [NI] and needs satisfaction [NS]) and BI. Structural equation modeling was used to identify the mediating role of BI between needs and HRQoL while considering socio-demographics.
Results: The 406 eligible patients reported poor HRQoL, and approximately half reported important unmet needs and poor BI. NI, NS, and socio-demographics had differing direct effects on BI and HRQoL, and contrasting indirect effects on HRQoL via BI. NI, NS, surgery type, presence of chronic disease, and BI explained 4% of the variance in the SF-36v2 physical component summary score; NI, NS, surgery type, residence, and BI explained 20% of the variance in the mental component summary score; and NI, NS, marital status, employment status, radiotherapy, and BI explained 33% of the variance in the FACT-Bv4.0 total score.
Conclusions: After surgery, women with breast cancer have poor HRQoL and BI, and important unmet needs. BI mediates the relationship between needs and HRQoL after controlling for socio-demographics. The present findings provide information for developing comprehensive BI-based needs interventions and preparing targeted health-management programs for patients with breast cancer.