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. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: Soc Sci Med. 2015 Jun 27;139:61–69. doi: 10.1016/j.socscimed.2015.06.026

TABLE 2.

Estimated Unstandardized Regression Coefficients for Childhood Stress from Ordinary Least Squares Regression Model and for Adulthood Stress from Linear Growth Curve Model (N=3617)

A. Childhood Stressa
B. Adulthood Stress Trajectories
Latent Intercept Latent Slope
b (s.e.) B (s.e.) b (s.e.)
Men −0.109* (0.044) 0.034 (0.033) −0.004 (0.006)
Age −0.009*** (0.001) −0.012*** (0.001) 0.000 (0.000)
Age-squared 0.000 (0.000) 0.000 (0.000) 0.000 (0.000)
Black 0.067 (0.046) 0.113*** (0.034) 0.014* (0.006)
Education −0.010* (0.005) 0.000 (0.001)
Family Income −0.008*** (0.001) 0.001*** (0.000)
Previously Divorced 0.191*** (0.037) −0.008 (0.007)
Previous Widowed 0.006 (0.046) −0.010 (0.008)
Marital Transitions T1-T4
(ref: Continually Married)
  Continuously Unmarried 0.113* (0.046) 0.017 (0.009)
  Marital Transitions 0.144*** (0.038) 0.016* (0.007)
Birth of New Baby −0.062 (0.038) −0.006 (0.007)
Childhood Stress 0.104*** (0.016) −0.002 (0.003)
Intercept 0.860*** (0.039) −0.224*** (0.037) −0.012 (0.007)
Residual Variance 1.252*** (0.033) 0.380*** (0.028) 0.005*** (0.001)
R-squared/Chi-square Value 0.023 150.660
*

p < .05,

**

p < .01,

***

p < .001

a

In the model to predict childhood stress, we only controlled for gender, age and race due to concerns of the time order since other covariates were all referred to adulthood experience. Our additional analysis (not shown) with all those covariates controlled revealed similar patterns as we reported in this table.