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

Abstract

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.