Zeng Jie Ye1, Zhang Zhang2, Xiao Ying Zhang3, Ying Tang4, Peng Chen5, Mu Zi Liang6, Zhe Sun7, Yuan Liang Yu8. 1. Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510006, China. Electronic address: zengjieye@qq.com. 2. Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, 510060, China. 3. The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, 510275, China. 4. Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510006, China. 5. Basic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, 550025, China. 6. Guangdong Academy of Population Development, Guangzhou, Guangdong Province, 510600, China. 7. The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, 510405, China. 8. South China University of Technology, Guangzhou, Guangdong Province, 510641, China.
Abstract
PURPOSE: Whether resilience should be conceptualised as a state or trait is debated. The precise distinction between state versus trait aspects of resilience can help identify dynamic targets for resilience-based intervention trials involving cancer patients. This study was designed to disentangle the state and trait components of resilience in patients with breast cancer with the help of Generalisability Theory (GT) methods. METHODS: The relative contributions of state (temporary) and trait (enduring) aspects of resilience were calculated using a 10-item Resilience Scale Specific to Cancer (RS-SC-10) and GT methods. In all, 391 patients were enrolled from the 'Be Resilient to Breast Cancer ' (BRBC) trial, and data from 317 patients (81.7%) were collected at baseline, 3 months, 6 months, and 12 months after the intervention. RESULTS: The subscale of Generic Elements demonstrated high generalisability value (relative G-coefficient = 0.81) across different occasions and captured 79% of the variance attributed to enduring aspects of resilience. The subscale of Shift-Persist showed low generalisability value (relative G-coefficient = 0.31) and identified 59% of the variance attributed to temporary aspects of resilience. The GT studies suggested that 5-7 items per scale and three measurement occasions were adequate for score reliability evaluation. CONCLUSION: Resilience should be conceptualised as a state-trait mixed psychological variable in breast cancer patients. The subscale of Shift-Persist in RS-SC-10 is amenable to intervention and could be utilised as a primary outcome in resilience-based intervention trials. CLINICAL TRIAL REGISTRATION: None.
PURPOSE: Whether resilience should be conceptualised as a state or trait is debated. The precise distinction between state versus trait aspects of resilience can help identify dynamic targets for resilience-based intervention trials involving cancerpatients. This study was designed to disentangle the state and trait components of resilience in patients with breast cancer with the help of Generalisability Theory (GT) methods. METHODS: The relative contributions of state (temporary) and trait (enduring) aspects of resilience were calculated using a 10-item Resilience Scale Specific to Cancer (RS-SC-10) and GT methods. In all, 391 patients were enrolled from the 'Be Resilient to Breast Cancer ' (BRBC) trial, and data from 317 patients (81.7%) were collected at baseline, 3 months, 6 months, and 12 months after the intervention. RESULTS: The subscale of Generic Elements demonstrated high generalisability value (relative G-coefficient = 0.81) across different occasions and captured 79% of the variance attributed to enduring aspects of resilience. The subscale of Shift-Persist showed low generalisability value (relative G-coefficient = 0.31) and identified 59% of the variance attributed to temporary aspects of resilience. The GT studies suggested that 5-7 items per scale and three measurement occasions were adequate for score reliability evaluation. CONCLUSION: Resilience should be conceptualised as a state-trait mixed psychological variable in breast cancerpatients. The subscale of Shift-Persist in RS-SC-10 is amenable to intervention and could be utilised as a primary outcome in resilience-based intervention trials. CLINICAL TRIAL REGISTRATION: None.
Authors: Mu Zi Liang; Ying Tang; M Tish Knobf; Alex Molassiotis; Peng Chen; Guang Yun Hu; Zhe Sun; Yuan Liang Yu; Zeng Jie Ye Journal: J Cancer Surviv Date: 2022-08-06 Impact factor: 4.062