Table 3.
Multivariate linear regression analyses predicting waist-hip ratio and body mass index in relation to study variables (N = 210).
Outcome | Model | Predictor | b | Beta | Standard Error |
---|---|---|---|---|---|
Waist-Hip Ratio | M1a | Overall Adversity | .04** | .27** | .01 |
Race | −.01 | −.05 | .01 | ||
Gender | −.02 | −.12 | .01 | ||
M2a | Overall Adversity | .03* | .20* | .01 | |
Race | −.01 | −.07 | .01 | ||
Gender | −.02 | −.09 | .01 | ||
Psychosocial Risk | .01 | .17 | .01 | ||
Health Risk | .01 | .06 | .01 | ||
M3a | Cumulative Adversity | .01* | .17* | .00 | |
Race | −.00 | −.02 | .01 | ||
Gender | −.02 | −.12 | .01 | ||
M4a | Cumulative Adversity | .00 | .11 | .00 | |
Race | −.01 | −.05 | .01 | ||
Gender | −.01 | −.08 | .01 | ||
Psychosocial Risk | .02* | .20* | .01 | ||
Health Risk | .01 | .06 | .01 | ||
Body Mass Index | M1b | Overall Adversity | 2.08* | .19* | .92 |
Race | 1.94 | .13 | 1.07 | ||
Gender | 2.30* | .16* | 1.04 | ||
M2b | Overall Adversity | 1.39 | .13 | .97 | |
Race | 1.67 | .11 | 1.07 | ||
Gender | 2.68* | .18* | 1.06 | ||
Psychosocial Risk | 1.15 | .16 | .68 | ||
Health Risk | .25 | .03 | .73 | ||
M3b | Cumulative Adversity | .26 | .10 | .20 | |
Race | 2.32* | .16* | 1.08 | ||
Gender | 2.36* | .16* | 1.06 | ||
M4b | Cumulative Adversity | .10 | .04 | .21 | |
Race | 1.94 | .13 | 1.08 | ||
Gender | 2.82* | .19* | 1.08* | ||
Psychosocial Risk | 1.37 | .19 | .70 | ||
Health Risk | .28 | .04 | .73 |
p < .001;
p < .01;
p < .05.
Note: Cumulative adversity = sum of unique adverse experiences; overall adversity = cumulative adversity X adversity severity X adversity chronicity. Race: 1 = Black/African American; 0 = White/European American. Gender: 1 = Female; 0 = Male. Psychosocial risk = sum of psychosocial risk factors (less than a Bachelors degree + unemployed + non-optimal social functioning); health risk = sum of health risk factors (any amount of smoking + non optimal drinking + poor diet + minimal exercise).