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Table 4 Multivariate logistic regression of the SES-lifestyle relation

From: Status constraint and lifestyle transition: a latent class analysis of health-related lifestyles among different social strata in China

VariableHealthy/riskyMixed/riskyHealthy/mixed
bExp(b)bExp(b)bExp(b)
Constant3.153*** 7.249*** − 4.096*** 
 Gender− 4.181***.015− 4.032***.018− .1490.861
 Age− .106***.899− .105***.901− .0020.998
 Age^2.131***1.140.123***1.131.0081.008
 Residency.454**1.575− .191.826.645***1.907
Education
 College and above1.251***3.495− .667**.5131.918***6.808
 High school and equivalent.562**1.755− .506**.6031.068***2.910
 Middle school.634***1.884− .083.921.716***2.047
Occupational status
 Managerial/professional employee.697**2.007.2181.244.478*1.613
 Ordinary non-physical worker.4331.541− .127.880.560**1.751
 Small business owner/individual businessman.4381.549.453*1.573− .015.985
 Foreman/skilled worker.670**1.953.3471.414.3231.381
 Unskilled physical worker.419*1.52− .330*.719.749***2.114
Natural log of annual income.0801.083− .128*.879.208***1.232
 -2LL4535.279
 Degree of freedom26
 Pseudo R2(Cox and Snell).393
 Prob > Chi2.000
  1. Note: * p < 0.05, **p < 0.01, ***p < 0.001