Objective: To assess the relationship between resilience and quality of life (QOL) of kidney cancer patients, including influencing factors.
Methods: Based on a cross-sectional study design, participants (N = 103) were recruited from patients who were admitted to the urology clinic of a medical center in Taiwan between April 2020 and January 2021. Data collection was accomplished via a questionnaire. The study variables included demographic information, disease attributes, happiness level, depression, cancer-related self-efficacy, resilience, and QOL. One-way analysis of variance, Pearson correlation coefficients, independent-sample t-tests, hierarchical regression, and process analysis were the statistical methods used to analyze the data.
Results: Kidney cancer patients who were less depressed exhibited better cancer-related self-efficacy and have better resilience. In non-depressed individuals, higher levels of happiness and better resilience resulted in better QOL. Resilience is a mediator that affects the relationship between depression and QOL.
Conclusions: Patients with better emotional state experience better resilience and QOL. Patients' better cancer-related self-efficacy is related to better resilience while better resilience is associated with better QOL. Clinical care providers need to evaluate and improve cancer-related self-efficacy, emotional state, and resilience of kidney cancer patients, which will improve their resilience and QOL.
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http://dx.doi.org/10.1007/s00520-021-06644-5 | DOI Listing |
BMC Cancer
January 2025
The University of Sydney School of Health Sciences, Susan Wakil Health Building, Western Avenue, 2050, Camperdown, NSW, Australia.
Background: Women living with metastatic breast cancer can benefit from physical activity. Presently, there is an absence of research outside of quantitative investigations on the benefits of structured programs. To enable effective physical activity advice and services, it is important to understand factors that may facilitate or prevent engagement.
View Article and Find Full Text PDFPrev Chronic Dis
December 2024
Community Impact Office, Markey Cancer Center, University of Kentucky, Lexington.
Introduction: Kentucky has the highest all-site cancer incidence and death rate in the US. In 2021, the University of Kentucky Markey Cancer Center convened a steering committee to conduct a statewide community cancer needs assessment (CNA). The goal of the final CNA phase was to gather community input on prioritizing Kentucky's cancer-related needs and ways to address them.
View Article and Find Full Text PDFJ Pain Symptom Manage
December 2024
West China School of Nursing, Sichuan University/West China Hospital, Sichuan University, Chengdu, China. Electronic address:
Oncologist
December 2024
Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Introduction: Patients with advanced cancer and their spousal caregivers who parent minor children report unmet parenting concerns and increased psychological distress. Seeking to address these important supportive care needs, this RCT examined the feasibility, acceptability, and initial evidence for the efficacy of a novel psychosocial intervention.
Patients And Methods: Patients with a metastatic solid malignancy and their spouses completed self-reported validated assessments of psychological symptoms and cancer-related parenting outcomes and were then randomized to the parent support intervention or a usual care (UC) group.
PeerJ Comput Sci
November 2024
School of Electronics and Information Engineering, Hebei University of Technology, Tianjin, China.
Brain tumors are widely recognized as the primary cause of cancer-related mortality globally, necessitating precise detection to enhance patient survival rates. The early identification of brain tumor is presented with significant challenges in the healthcare domain, necessitating the implementation of precise and efficient diagnostic methodologies. The manual identification and analysis of extensive MRI data are presented as a challenging and laborious task, compounded by the importance of early tumor detection in reducing mortality rates.
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