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Table 4 Association of independent variables and depressive symptoms in matched multivariate regression analysis

From: Decomposing differences in depressive symptoms between older rural-to-urban migrant workers and their counterparts in mainland China

  Older rural-to-urban migrant workers Older rural dwellers Older rural-to-urban migrant workers Older urban residents
Odds Ratio [95% CI] Odds Ratio [95% CI] Odds Ratio [95% CI] Odds Ratio [95% CI]
Gender 0.856 −0.019 1.731 −0.114*** − 0.325 0.096 1.020 0.136 1.903 −0.807 − 1.472 − 0.142
Age group 0.654* − 0.389 1.697 0.566 0.322 0.810 0.948* − 0.090 1.986 0.473* −0.178 1.124
Ill in the last month 0.111 −1.254 1.477 −0.551*** − 0.837 − 0.264 0.097 − 1.331 1.525 0.225 − 0.636 1.086
Self-reported health 1.044*** 0.487 1.600 0.600*** 0.489 0.712 1.069*** 0.519 1.620 1.086*** 0.700 1.472
Chronic diseases 0.031 −0.474 0.537 0.266*** 0.147 0.385 −0.155 −0.657 0.346 0.297 −0.023 0.616
Smoke −0.586 −1.553 0.381 −0.080 −0.294 0.135 −0.384 −1.349 0.582 −0.075 − 0.629 0.479
Drink 0.164 −0.381 0.710 0.076 −0.049 0.200 0.133 −0.404 0.669 −0.015 −0.374 0.345
Sleeping time −0.944* −1.810 −0.078 − 0.611*** −0.806 − 0.416 −1.001* − 1.891 −0.112 − 0.943** −1.610 −0.276
Nap 0.693 −0.118 1.503 0.076 −0.119 0.271 0.316 −0.475 1.107 0.302 −0.226 0.830
Living arrangement 0.710 −0.315 1.735 0.245 −0.030 0.520 0.743 −0.320 1.806 0.383 −0.419 1.186
Educational attainment 0.429 −0.451 1.309 −0.010 −0.253 0.234 −0.465 −1.416 0.486 −0.063 − 0.679 0.552
Social activity −0.459 −0.972 0.054 −0.100 − 0.219 0.020 − 0.351 −0.833 0.132 −0.344* − 0.670 −0.018
Running water −0.204 −1.419 1.011 0.098 −0.113 0.309 −0.028 −1.232 1.176 −1.013 −2.304 0.279
Type of in-house shower −0.429 −1.356 0.499 0.483*** 0.286 0.680 −0.539 −1.456 0.378 0.303 −0.287 0.893
Clear in this house 0.561 −0.094 1.215 0.160 −0.007 0.327 0.756* 0.100 1.411 0.044 −0.360 0.448
Region 0.266 −0.284 0.815 0.186 0.062 0.310 0.306 −0.256 0.867 0.538* 0.123 0.952
Income quintiles 0.111 −0.196 0.418 0.007 −0.067 0.082 0.168 −0.142 0.477 −0.105 −0.319 0.108
Health insurance 0.423 −0.933 1.779 −0.034 −0.887 0.820 −0.470 −1.959 1.019 −0.051 −1.009 0.907
pension insurance 0.334 −0.560 1.227 0.173 −0.070 0.415 0.386 −0.509 1.280 −0.006 −0.594 0.583
  1. Confidence interval; * p < 0.05, ** p < 0.01, *** p < 0.001. We found low VIFs, < 10, reflecting no multicollinearity problem in the logistic regressions; all predictors entered the multivariate regression simultaneously