Zeng Jie Ye1, Hong Zhong Qiu2, Peng Fei Li3, Mu Zi Liang3, Shu Ni Wang2, Xiao Ming Quan4. 1. The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong province, China; College of Economics and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China. Electronic address: zengjieye@qq.com. 2. College of Economics and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China. 3. Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China. 4. Nursing Department of the First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong province, China. Electronic address: 1047052548@qq.com.
Abstract
PURPOSE: Parents have psychosocial functions that are critical for the entire family. Therefore, when their child is diagnosed with cancer, it is important that they exhibit resilience, which is the ability to preserve their emotional and physical well-being in the face of stress. The Resilience Model for Parents of Children with Cancer (RMP-CC) was developed to increase our understanding of how resilience is positively and negatively affected by protective and risk factors, respectively, in Chinese parents with children diagnosed with cancer. METHODS: To evaluate the RMP-CC, the latent psychosocial variables and demographics of 229 parents were evaluated using exploratory structural equation modeling (SEM) and logistic regression. RESULTS: The majority of goodness-of-fit indices indicate that the SEM of RMP-CC was a good model with a high level of variance in resilience (58%). Logistic regression revealed that two demographics, educational level and clinical classification of cancer, accounted for 12% of this variance. CONCLUSIONS: Our results indicate that RMP-CC is an effective structure by which to develop mainland Chinese parent-focused interventions that are grounded in the experiences of the parents as caregivers of children who have been diagnosed with cancer. RMP-CC allows for a better understanding of what these parents experience while their children undergo treatment. Further studies will be needed to confirm the efficiency of the current structure, and would assist in further refinement of its clinical applications.
PURPOSE: Parents have psychosocial functions that are critical for the entire family. Therefore, when their child is diagnosed with cancer, it is important that they exhibit resilience, which is the ability to preserve their emotional and physical well-being in the face of stress. The Resilience Model for Parents of Children with Cancer (RMP-CC) was developed to increase our understanding of how resilience is positively and negatively affected by protective and risk factors, respectively, in Chinese parents with children diagnosed with cancer. METHODS: To evaluate the RMP-CC, the latent psychosocial variables and demographics of 229 parents were evaluated using exploratory structural equation modeling (SEM) and logistic regression. RESULTS: The majority of goodness-of-fit indices indicate that the SEM of RMP-CC was a good model with a high level of variance in resilience (58%). Logistic regression revealed that two demographics, educational level and clinical classification of cancer, accounted for 12% of this variance. CONCLUSIONS: Our results indicate that RMP-CC is an effective structure by which to develop mainland Chinese parent-focused interventions that are grounded in the experiences of the parents as caregivers of children who have been diagnosed with cancer. RMP-CC allows for a better understanding of what these parents experience while their children undergo treatment. Further studies will be needed to confirm the efficiency of the current structure, and would assist in further refinement of its clinical applications.
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: Zeng Jie Ye; Mei Ling Liu; Zhang Zhang; Kun Lun Liao; Cai Fen Peng; Hui Huang; Yuan Liang Yu; Hong Zhong Qiu Journal: Int J Nurs Sci Date: 2017-06-03
Authors: Yuanhui Luo; Wei Xia; Ankie Tan Cheung; Laurie Long Kwan Ho; Jingping Zhang; Jianhui Xie; Pin Xiao; Ho Cheung William Li Journal: J Med Internet Res Date: 2021-11-29 Impact factor: 5.428