Predictors of the health-related quality of life of patients who are newly diagnosed with lung cancer in China

التفاصيل البيبلوغرافية
العنوان: Predictors of the health-related quality of life of patients who are newly diagnosed with lung cancer in China
المؤلفون: Chunfeng Cai, Liping Yu, Yonghui Wan, Zongkui Zhou
المصدر: Nursing & Health Sciences.
بيانات النشر: Wiley, 2011.
سنة النشر: 2011
مصطلحات موضوعية: Gerontology, Cross-sectional study, business.industry, MEDLINE, General Medicine, Family income, medicine.disease, Internal-External Control, Social support, Quality of life (healthcare), Locus of control, medicine, Lung cancer, business, General Nursing
الوصف: The purpose of this study was to explore the level and predictors of the health-related quality of life among patients who were newly diagnosed with lung cancer in China. A descriptive survey design was used to collect the data from 108 patients. The relationships among the variables were analyzed by using Pearson's correlation and multiple regression analyses. The results indicated that the patients in this sample had a poor quality of life in the physical, psychological, and environmental domains of the World Health Organization Quality of Life Questionnaire. Their age, annual family income, social support, and three dimensions of the health locus of control (internal, external, and chance) correlated significantly with the global quality of life. The stepwise multiple regressions showed that only the internal locus of control was statistically significant in predicting the patients' quality of life. The results suggest that healthcare professionals should pay particular attention to demographic characteristics, such as age and family income, and personal characteristics, such as the health locus of control and social support, when treating this patient group.
تدمد: 1441-0745
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c1076c714e2d3df71ea615a283fa907a
https://doi.org/10.1111/j.1442-2018.2011.00612.x
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........c1076c714e2d3df71ea615a283fa907a
قاعدة البيانات: OpenAIRE