In order to identify the factors influencing quality of life, a stepwise multiple regression analysis was conducted with significant variables from general characteristics and health-related characteristics, and significant variables from the correlation analysis. The correlation coefficients between the independent variables ranged from a .52 to .54; because they did not exceed .80, we confirmed that they were independent of each other. The Durbin-Watson statistic was 1.790, because it was so close to 2, we decided that there was no autocorrelation. In addition, we checked for multicollinearity and found the following results: tolerance was .73e.96, which was considerably greater than .10; the variation inflation factor was 1.03e1.36, which did not surpass the standard value of 10; and the condition index was less than 30. According to these statistics, there was no problem of multicollinearity. This analysis confirmed that the data meet on the assumptions of residuals, linearity, normality, and the homoscedasticity of error terms. Cook's distance values for examining individual data points never exceeded 1.00.