Hopefulness prediction modeling based on resilience and happiness considering the mediating role of quality of life in women with breast cancer

The results of recent decades of psychology have shown that happiness and resilience can predict the hope of women with breast cancer, but does quality of life play a mediating role in the relationship between these variables?

The purpose of this study was to investigate the Hopefulness Prediction Modeling based on Resilience and Happiness Considering the Mediating Role of Quality of Life in Women with Breast Cancer.

The research method was descriptive and of structural equation modeling. The statistical population of this study included all patients with breast cancer referring to Cancer Institute of Imam Khomeini and Milad hospitals in Tehran. Purposeful sampling method was used to select the sample. In this way, 300 patients with breast cancer were selected based on the criteria of entering and leaving the research. The research instruments were Omid Schneider et al. (1991), the Conor-Davidson Resilience Questionnaire (2003), Oxford Happiness Scale (1989), and World Health Organization Quality of Life Scale (1996).

For data analysis, structural equation modeling was used. Resilience has a direct (t=2/38 & β=0/37) and indirect (t=2/03 & β=0/14) effect on the hope of patients with breast cancer (due to quality of life) (p<0/05). Happiness also has a direct effect(t=4/52 & β=0/46) on hopefulness of patients with breast cancer (p<0/05).

The findings confirmed the research model in general. Increasing resilience and happiness can improve the quality of life of patients with breast cancer and raise their hope level.