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Table 5 Multivariate logistic regression of the SES-lifestyle relationship for different birth cohorts

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

VariableIn or before 1977 (N = 2409)In or after 1978 (N = 521)
Healthy/mixedMixed/riskyHealthy/mixedMixed/risky
bExp(b)bExp(b)bExp(b)bExp(b)
Constant1.010 8.711*** 19.803** 8.960 
 Gender− 4.347***.013− 4.138***.016− 3.690***.025− 3.745***.024
 Age− .040.961− .152***.859− 1.358***.257− .186.830
 Age^2.0741.076.165***1.1792.481*11.951.2791.322
 Residency.406*1.501− .243.784.722*2.058.0721.074
Education
 College and above1.335***3.799− .456.6341.2383.449− 1.533***.216
 High school and equivalent.560**1.750− .241.786.2621.299− 1.864***.155
 Middle school.561**1.752− .067.935.6801.975− .470.625
Occupational status
 Managerial/professional employee.735*2.085.1701.185.1851.203.0451.046
 Ordinary non-physical worker.649*1.913− .043.958− .593.553− .567.567
 Small business owner/individual businessman.4741.607.4001.491.2391.270.4781.612
 Foreman/skilled worker.806**2.240.4321.540− .092.912.0201.020
 Unskilled physical worker.438*1.549− .202.817− .015.985− 1.101***.333
Natural log of annual income.1261.134− .143*.867.0341.035− .159.853
-2LL3650.639830.968
Degrees of freedom2626
Pseudo R2 (Cox and Snell).395.413
Prob > Chi2.000.000
  1. Note: *p < 0.05, **p < 0.01, ***p < 0.001