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Table 2 Standardized parameters, standard errors, 95% CI and p-values among men (n = 717) and women (n = 741)

From: Does work-personal life interference predict turnover among male and female managers, and do depressive symptoms mediate the association? A longitudinal study based on a Swedish cohort

  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