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. 2019 Aug 18;13(4):1557988319870969. doi: 10.1177/1557988319870969

Table 3.

Factors Linked to Men’s Diurnal Cortisol Slopes.

Variables Model 1
Model 2
Model 3
Model 4
Model 5
b SE p b SE p b SE p b SE p b SE p
Key health indicator
# medical conditions .012 .004 .007 .011 .004 .017 .010 .004 .026 .010 .004 .017 .007 .004 .133
Psychological distress .002 .010 .824 −.001 .010 .921 −.003 .010 .791 −.010 .010 .300 −.014 .010 .149
Other
Age .000 <.001 .606 .000 <.001 .813 .000 <.001 .739 −.001 <.001 .179 −.001 <.001 .227
Race (Black) .057 .016 <.001 .052 .016 .001 .049 .016 .002 −.012 .025 .635
Educational attainment −.012 .005 .025 −.008 .005 .120 −.009 .005 .081
Smoker .015 .012 .212 .015 .012 .204
Atypical sleep schedule .009 .014 .512 .010 .014 .493
Medications .009 .010 .351 .010 .010 .315
Protocol nonadherent .162 .020 <.001 .160 .020 <.001
Interaction .043 .013 .002
Race × # medical conditions
Intercept −.208 .032 <.001 −.214 .031 <.001 −.177 .036 <.001 −.165 .035 <.001 −.156 .034 <.001
R 2 .013 .030 .037 .127 .140
FR 2 (p) 2.93 (.033) 12.57 (<.001) 5.04 (.025) 17.65 (<.001) 10.05 (.002)