| Men | Women | ||||
---|---|---|---|---|---|---|
 | B(SE) | 95% CI | p | B(SE) | 95% CI | p |
Regression weights – WPI | ||||||
 WPI t | ||||||
  WPI t-1 | .654 (.030) | .595; .713 | .000 | .644 (.025) | .594; .694 | .000 |
  Depression t-1 | .110 (.032) | .047; .173 | .001 | .027 (.030) | −.032; .085 | .374 |
  Higher age | −.066 (.016) | −.119; −.012 | .001 | .062 (.025) | −.110; −.013 | .013 |
  Not married | .022 (.022) | −.021; .064 | .320 | −.008 (.021) | −.049; .032 | .687 |
  Children living at home | −.001 (.026) | −.053; .051 | .971 | −.048 (.024) | −.096; .000 | .050 |
  Public sector | .011 (.021) | −.030; .052 | .601 | −.037 (.021) | −.078; .004 | .077 |
  Higher education | −.003 (.021) | −.045; .039 | .901 | .064 (.021) | .023; .104 | .002 |
WPI t-1 | ||||||
  WPI t-2 | .638 (.031) | .577; .699 | .000 | .609 (.032) | .546; .671 | .000 |
  Depression t-2 | .111 (.034) | .045; .178 | .001 | .070 (.032) | .007; .133 | .029 |
  Higher age | −.043 (.029) | −.100; .014 | .136 | .003 (.026) | −.048; .055 | .902 |
  Not married | .006 (.024) | −.040; .053 | .787 | −.053 (.024) | −.099; −.006 | .026 |
  Children living at home | −.002 (.028) | −.057; .054 | .957 | −.031 (.027) | −.084; .022 | .254 |
  Public sector | .018 (.023) | −.027; .062 | .431 | −.020 (.024) | −.067; .026 | .396 |
  Higher education | .049 (.023) | .004; .095 | .034 | .057 (.023) | .012; .103 | .014 |
Regression weights – Depression | ||||||
 Depression t | ||||||
  Depression t-1 | .594 (.034) | .527; .661 | .000 | .426 (.044) | .340; .512 | .000 |
  WPI t-1 | .089 (.033) | .024; .153 | .007 | .199 (.035) | .130; .268 | .000 |
  Turnover t-1 | .001 (.024) | −.045; .047 | .967 | .017 (.027) | −.035; .070 | .514 |
  Higher age | −.082 (.027) | −.135; −.029 | .003 | −.070 (.026) | −.121; −.018 | .008 |
  Not married | .015 (.025) | −.034; .064 | .543 | .027 (.023) | −.019; .073 | .248 |
  Children living at home | −.048 (.026) | −.099; .003 | .067 | −.002 (.027) | −.055; .051 | .937 |
  Public sector | .032 (.025) | −.017; .082 | .201 | .027 (.024) | −.020; .073 | .263 |
  Higher education | −.053 (.023) | −.099; −.008 | .021 | −.058 (.024) | −.106; −.011 | .017 |
 Depression t-1 | ||||||
  Depression t-2 | .596 (.042) | .515; .678 | .000 | .506 (.041) | .425; .586 | .000 |
  WPI t-2 | .105 (.035) | .036; .173 | .003 | .133 (.034) | .066; .200 | .000 |
  Turnover t-2 | .004 (.031) | −.056; .064 | .899 | −.019 (.020) | −.057; .020 | .339 |
  Higher age | −.070 (.027) | −.123; −.017 | .009 | −.051 (.024) | −.098; −.005 | .031 |
  Not married | .013 (.027) | −.040; .065 | .639 | −.008 (.024) | −.056; .040 | .734 |
  Children living at home | −.035 (.024) | −.082; .012 | .142 | −.022 (.026) | −.073; .030 | .416 |
  Public sector | −.011 (.008) | −.028; .005 | .182 | −.005 (.009) | −.021; .012 | .588 |
  Higher education | −.025 (.019) | −.063; .012 | .182 | −.009 (.017) | −.044; .025 | .588 |
Regression weights – Turnover | ||||||
 Turnover t | ||||||
  Turnover t-1 | .092 (.068) | −.041; .226 | .175 | .001 (.030) | −.059; .060 | .974 |
  Depression t-1 | −.034 (.031) | −.094; .027 | .275 | .065 (.038) | −.010; .141 | .087 |
  WPI t-2 | . 135 (.038) | .060; .210 | .000 | .060 (.028) | .004; .116 | .035 |
  Higher age | .079 (.028) | .025; .133 | .004 | .097 (.029) | .040; .154 | .001 |
  Not married | −.007 (.027) | −.060; .046 | .793 | .000 (.027) | −.053; .052 | .986 |
  Children living at home | .002 (.028) | −.053; .056 | .952 | .041 (.029) | −.017; .098 | .165 |
  Public sector | −.006 (.010) | −.026; . 015 | .587 | −.013 (.012) | −.035; .010 | .271 |
  Higher education | −.013 (.024) | −.059; .033 | .587 | −.026 (.024) | −.072; .020 | .271 |
 Turnover t-1 | ||||||
  Turnover t-2 | .094 (.051) | −.005; .194 | .063 | .066 (.044) | −.020; .153 | .134 |
  Depression t-2 | .058 (.033) | −.007; .123 | .080 | .109 (.036) | .038; .180 | .003 |
  Higher age | .010 (.031) | −.050; .070 | .742 | .051 (.024) | .005; .098 | .030 |
  Not married | −.020 (.027) | −.073; .034 | .474 | .012 (.031) | −.049; .073 | .693 |
  Children living at home | −.017 (.044) | −.103; .069 | .695 | .016 (.034) | −.050; .082 | .632 |
  Public sector | −.037 (.028) | −.092; .017 | .180 | −.006 (.032) | −.067; .056 | .861 |
  Higher education | .002 (.033) | −.063; .067 | .947 | −.010 (.032) | −.073; .053 | .754 |
Indirect effect | .000 (.000) | .000; .000 | .617 | .000 (.000) | .000; .000 | .612 |