Zeng Jie Ye1, Mu Zi Liang2,3, Peng Fei Li2, Zhe Sun4, Peng Chen2, Guang Yun Hu4, Yuan Liang Yu5, Shu Ni Wang6, Hong Zhong Qiu7. 1. Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. zengjieye@qq.com. 2. Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. 3. Guangdong Academy of Population Development, Guangzhou, 510600, Guangdong Province, China. 4. The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China. 5. South China University of Technology, Guangzhou, 510641, Guangdong Province, China. 6. College of Economics and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. 7. College of Economics and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. 1047052548@qq.com.
Abstract
OBJECTIVE: Resilience is an important concept in the cancer literature and is a salient indicator of cancer survivorship. The aim of this study is to develop and validate a new resilience instrument that is specific to patients with cancer diagnosis (RS-SC) in Mainland China. METHODS: First, a resilience framework was constructed for patients with cancer diagnosis. Second, items were formulated based on the framework to reflect different aspects of resilience. Third, two rounds of expert panel discussion were performed to select important and relevant items. Finally, two cross-sectional studies were conducted to evaluate the psychometric properties of this instrument. RESULTS: Fifty-one items were generated based on the resilience framework and the final 25-item RS-SC resulted in a five-factor solution including Generic Elements, Benefit Finding, Support and Coping, Hope for the Future and Meaning for Existence, accounting for 64.72% of the variance. The Cronbach's α of the RS-SC was 0.825 and the test-retest reliability was 0.874. CONCLUSION: The RS-SC is a brief and specific self-report resilience instrument for Chinese patients with cancer and shows sound psychometric properties in this study. The RS-SC has potential applications in both clinical practice and research with strength-based resiliency interventions.
OBJECTIVE: Resilience is an important concept in the cancer literature and is a salient indicator of cancer survivorship. The aim of this study is to develop and validate a new resilience instrument that is specific to patients with cancer diagnosis (RS-SC) in Mainland China. METHODS: First, a resilience framework was constructed for patients with cancer diagnosis. Second, items were formulated based on the framework to reflect different aspects of resilience. Third, two rounds of expert panel discussion were performed to select important and relevant items. Finally, two cross-sectional studies were conducted to evaluate the psychometric properties of this instrument. RESULTS: Fifty-one items were generated based on the resilience framework and the final 25-item RS-SC resulted in a five-factor solution including Generic Elements, Benefit Finding, Support and Coping, Hope for the Future and Meaning for Existence, accounting for 64.72% of the variance. The Cronbach's α of the RS-SC was 0.825 and the test-retest reliability was 0.874. CONCLUSION: The RS-SC is a brief and specific self-report resilience instrument for Chinese patients with cancer and shows sound psychometric properties in this study. The RS-SC has potential applications in both clinical practice and research with strength-based resiliency interventions.
Authors: Zeng Jie Ye; Mu Zi Liang; Hong Zhong Qiu; Mei Ling Liu; Guang Yun Hu; Yun Fei Zhu; Zhen Zeng; Jing Jing Zhao; Xiao Ming Quan Journal: Breast Cancer Res Treat Date: 2016-07-11 Impact factor: 4.872
Authors: Carrie D Llewellyn; Debbie J Horney; Mark McGurk; John Weinman; Jim Herold; Keith Altman; Helen E Smith Journal: Psychooncology Date: 2011-09-14 Impact factor: 3.894
Authors: Zeng Jie Ye; Mu Zi Liang; Hao Wei Zhang; Peng Fei Li; Xue Ren Ouyang; Yuan Liang Yu; Mei Ling Liu; Hong Zhong Qiu Journal: Qual Life Res Date: 2018-03-22 Impact factor: 4.147
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
Authors: Matthew J Mosquera; Aaron Kaat; Melinda Ring; Gaurava Agarwal; Sydney Glickson; David Victorson Journal: Health Qual Life Outcomes Date: 2021-01-02 Impact factor: 3.186