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A biopsychosocial model of resilience for breast cancer: A preliminary study in mainland China.
European Journal of Oncology Nursing : the Official Journal of European Oncology Nursing Society 2018 October
PURPOSE: Patients diagnosed with breast cancer exhibited critical biopsychosocial functions following surgery or adjuvant treatment; therefore, it is important that they exhibit resilience. A Resilience Model for Breast Cancer (RM-BC) was developed using Chinese breast cancer patients to increase our understanding of how resilience outcomes are positively and negatively affected by protective and risk factors, respectively.
METHODS: Chinese women with breast cancer completed the questionnaires within 1 week of beginning treatment. Exploratory Structural Equation Modeling was used to evaluate the RM-BC using a sample size of 342 patients.
RESULTS: RM-BC suggested satisfactory goodness-of-fit indices and 67 percents of variance for resilience was explained. The Fit Indices for the measurement model were as follows: CFI = 0.909, GFI = 0.911, IFI = 0.897, NFI = 0.922, PNFI = 0.896, PCFI = 0.884, and RMSEA = 0.031. Three risk factors - emotional distress, physical distress, and intrusive thoughts - and four protective factors - self-efficacy, social support, courage-related strategy, and hope - were recognized.
CONCLUSION: The resilience model allows for a better understanding of Chinese breast cancer patients' resilience integration while undergoing treatment and provides an effective structure for the development of resilience-focused interventions that are grounded in their experiences. A randomized trial has provided evidences of feasibility in Chinese women with breast cancer and the resilience model could be used as a useful framework for more resilience intervention in the future.
METHODS: Chinese women with breast cancer completed the questionnaires within 1 week of beginning treatment. Exploratory Structural Equation Modeling was used to evaluate the RM-BC using a sample size of 342 patients.
RESULTS: RM-BC suggested satisfactory goodness-of-fit indices and 67 percents of variance for resilience was explained. The Fit Indices for the measurement model were as follows: CFI = 0.909, GFI = 0.911, IFI = 0.897, NFI = 0.922, PNFI = 0.896, PCFI = 0.884, and RMSEA = 0.031. Three risk factors - emotional distress, physical distress, and intrusive thoughts - and four protective factors - self-efficacy, social support, courage-related strategy, and hope - were recognized.
CONCLUSION: The resilience model allows for a better understanding of Chinese breast cancer patients' resilience integration while undergoing treatment and provides an effective structure for the development of resilience-focused interventions that are grounded in their experiences. A randomized trial has provided evidences of feasibility in Chinese women with breast cancer and the resilience model could be used as a useful framework for more resilience intervention in the future.
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