Skip to main content

Table 4 Multivariate linear regression analyses with LSQ total score and the different factors as dependent variables and personal characteristics as independent variables (significant variablesa from the analyses presented in Table 3), standardized regression coefficients

From: Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire

  LSQ tot PS SI QDAF QDAM SES QFR QCFR
R square (adjusted) 0.25 (0.24) 0.18 (0.17) 0.13 (0.12) 0.21 (0.20) 0.19 (0.18) 0.18 (0.17) 0.25 (0.24) 0.14 (0.13)
Sex   − 0.177*** −0.133** 0.119* 0.146**    
 Male (0)
 Female (1)
Marital Status 0.219*** 0.188*** 0.163** 0.181*** 0.195*** 0.130* 0.132** 0.091 ns
 Single/divorced/widow(er) (0)
 Married (1)
Chronic disease(s) −0.186*** − 0.180*** − 0.164** −0.145** − 0.156**    
 None to one (0)
 Two or more (1)
Education 0.121* 0.094 ns 0.142** 0.066 ns 0.068 ns −0.087 ns 0.125* 0.077 ns
 No formal/primary school (0)
 Junior high school or more (1)
Main source of incomea −0.131** −0.166** − 0.088 ns −0.046 ns − 0.121* −0.319*** 0.098* −0.079 ns
 Retirement (0)
 Social assistant/from family/others (1)
Nursing home 0.206***    0.275*** 0.173** 0.155** 0.398*** 0.264***
 Publicly run (0)
 Privately run (1)
Residing at the nursing home       0.113*   
 19 months or less (0)
 20 months or more (1)
  1. For the variable Education, Chronic diseases and Residing at the nursing home the data were dichotomized based on the group median value
  2. For the LSQ and included factors the scores range from 14 to 100, with 100 representing the most desired value. * p < 0.05,**p < 0.01, *** p < 0.001, ns = non-significant, Bold text in the table indicated statistically significant values. a When both main source of income and medical insurance were entered in the regressions models variance inflation factors indicated multicollinearity, and thereof only main source of income was included in the analyses