Table 2.

Linear and Logistic Regression for Simple and Entire Models and Association with CRP.

2 A. Simple Model		PHQ-9		DAST
		beta	p-value	beta	p-value
Linear Regression	All	0.125	0.0000002	0.012	0.564
	Female	0.091	0.003	−0.048	0.115
	Male	0.154	0.0001	0.120	0.003
Logistic Regression	All	0.252	0.0000003	0.033	0.495
	Female	0.171	0.005	−0.061	0.324
	Male	0.284	0.0006	0.183	0.027
2B. Entire Model		PHQ−9		DAST
		beta	p-value	beta	p-value
Linear Regression	All	−0.0040	0.872	−0.027	0.305
	Female	−0.034	0.248	−0.088	0.004
	Male	0.009	0.833	0.044	0.324
Logistic Regression	All	0.055	0.397	−0.067	0.329
	Female	−0.060	0.497	−0.228	0.014
	Male	0.073	0.505	0.100	0.382

We performed linear and logistic regression using two different models, where one model included only PHQ-9 and DAST (simple, unadjusted model) and the other included all 36 variables. Beta Coefficients are reported. (A) For the unadjusted dataset, we analyzed the association between CRP and PHQ-9 and between CRP and DAST. PHQ-9, but not DAST, was significantly associated with CRP in unadjusted/simple models in the (All; β = 0.125; β = 0.252) and female-only sample (β = 0.091; β = 0.171). However, for the male-only sample, both PHQ-9 (β = 0.154; β = 0.284) and DAST (β = 0.120; β = 0.183) showed significance in unadjusted models. (B) For the All and male-only samples, PHQ-9 and DAST were not associated with CRP after adjusting for the covariates of interest. In the female-only sample, DAST (β = −0.088; β = −0.228) but not PHQ-9 was significantly associated with CRP in the adjusted/entire model.