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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Brain Behav Immun. 2017 Jul 24;66:313–321. doi: 10.1016/j.bbi.2017.07.154

Table 2.

Ordinary least square regression assessing the main and interaction models of race and alcohol abuse in relation to biomarkers of the neuroendocrine system; Midlife in the United States (MIDUS) Biomarker Study (n=1,129)

Log Cortisol
b(SE)
Log DHEA-S
b(SE)
HPA-axis
compositea
b(SE)
Log
Epinephrine
b(SE)
Log
Norepinephrine
b(SE)
Sympathetic
nervous system
compositea
b(SE)

Model 1. Baseline Modelsb
Alcohol Abuse:
  Yes −0.14 (0.10) 0.05 (0.09) −0.00 (0.03) 0.03 (0.07) −0.03 (0.05) −0.01 (0.04)
  No (reference) 1.0 1.0 1.0 1.0 1.0 1.0
Race:
  African American −0.40 (0.07)*** −0.12 (0.06) −0.04 (0.02) −0.20 (0.05)*** −0.17 (0.04)*** −0.08 (0.03)**
  White 1.0 1.0 1.0 1.0 1.0 1.0
Model 2. Including Interaction Termb
Alcohol Abuse
  Yes −0.16 (0.12) 0.11 (0.08) −0.04 (.04) 0.00 (0.08) −0.09 (0.05) −0.07 (0.04)
  No (reference) 1.0 1.0 1.0 1.0 1.0 1.0
Race:
  African American −0.42 (0.06)*** −0.10 (0.06) −.07 (.02)** −0.23 (0.05)*** −0.18 (0.04)*** −0.10 (0.03)***
  White (reference) 1.0 1.0 1.0 1.0 1.0 1.0
Alcohol Use Disorders × Race
  African American −0.04 (0.25) −0.23 (0.22) 0.14 (0.08) 0.21 (0.18) 0.23 (0.12)* 0.22 (0.11)*
  White (reference) 1.0 1.0 1.0 1.0 1.0 1.0
  Model 3. Including Interaction Term + health variablesc
  Alcohol Abuse
    Yes −0.14 (0.12) 0.11 (0.08) −0.04 (.04) −0.02 (0.08) −0.11 (0.05) −0.08 (0.04)
    No (reference) 1.0 1.0 1.0 1.0 1.0 1.0
  Race:
  African American −0.43 (0.07)*** −0.12 (0.06) −.06 (.02)* −0.22 (0.05)*** −0.20 (0.04)*** −0.11 (0.03)***
  White (reference) 1.0 1.0 1.0 1.0 1.0 1.0
  Alcohol Use Disorders × Race
  African American −0.01 (0.24) −0.21 (0.22) 0.14 (0.07) 0.22 (0.16) 0.26 (0.12)* 0.23 (0.11)*
  White (reference) 1.0 1.0 1.0 1.0 1.0 1.0
a

The composite summary score ranges from 0 to 1, which indicates the average # of high-risk indicators (i.e., in the top quartile for each of the variables within that composite score).

b

Models 1 and Model 2 include the covariates age, sex, education, income, current drinking, smoking, exercise, fast food consumption, medication use (blood pressure, cholesterol, steroid, and anti-depressant medications), anxiety/depressive symptoms, and average sleep duration.

c

Model 3 is built upon Model 2 + health variables: body mass index, diabetes, heart disease, high blood pressure, high density lipoprotein, low density lipoprotein, and triglycerides. Unstandardized coefficients and bootstrapped standard errors from 500 iterations using the bias corrected and accelerated (bca) method are from separate linear regression models.

*

P < .05;

**

P <.01;

***

P <.001