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JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Quality of life of male spouse caregivers for breast cancer patients in China.
BACKGROUND: The aim of this study was to describe the characteristics of male spouse caregivers of breast cancer patients in China, assess their quality of life (QOL), and investigate the influencing factors.
MATERIALS AND METHODS: A total of 243 breast cancer patient-spouse caregiver dyads were recruited from four hospitals in Shanxi and Anhui province of China. A cross-sectional design was applied to collect data and the Chinese version of the Medical Outcomes Study 36-item Short Form (SF-36) was used to measure caregivers' QOL, and the Chinese version of M.D. Anderson Symptom Inventory (MDASI-C) was applied to measure patient symptom severity and interference. Pearson's correlation was used to examine the correlations between caregiver burden and QOL. The multiple regression analysis was used to determine the most predictive factors influencing QOL.
RESULTS: The scores of all SF-36 scales were above 50.0, which were much lower than that of general mainland Chinese males. Mental QOL was significantly worse than physical QOL. Spouses demographic characteristics, caregiving-related variables and patient symptoms were related to spouse QOL. Caregiver burden has a negative relationship with QOL.
CONCLUSIONS: A decrease in life events and patient symptoms, as well as increase in spouse sleeping time and family income, ought to improve QOL.
MATERIALS AND METHODS: A total of 243 breast cancer patient-spouse caregiver dyads were recruited from four hospitals in Shanxi and Anhui province of China. A cross-sectional design was applied to collect data and the Chinese version of the Medical Outcomes Study 36-item Short Form (SF-36) was used to measure caregivers' QOL, and the Chinese version of M.D. Anderson Symptom Inventory (MDASI-C) was applied to measure patient symptom severity and interference. Pearson's correlation was used to examine the correlations between caregiver burden and QOL. The multiple regression analysis was used to determine the most predictive factors influencing QOL.
RESULTS: The scores of all SF-36 scales were above 50.0, which were much lower than that of general mainland Chinese males. Mental QOL was significantly worse than physical QOL. Spouses demographic characteristics, caregiving-related variables and patient symptoms were related to spouse QOL. Caregiver burden has a negative relationship with QOL.
CONCLUSIONS: A decrease in life events and patient symptoms, as well as increase in spouse sleeping time and family income, ought to improve QOL.
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