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. Author manuscript; available in PMC: 2012 Jan 1.
Published in final edited form as: Am J Intellect Dev Disabil. 2011 Jan;116(1):3–15. doi: 10.1352/1944-7558-116.1.3

Table 3.

Hierarchical regression analysis for the prediction of life satisfaction and relationship quality.

Life satisfaction Relationship with adult child

Step 1 Step 2 Step 3 Step 4 Step 1 Step 2 Step 3 Step 4
Step 1: Maternal and child background characteristics
    Number of children .05 .05 .04 .03 -.10 -.10 -.12 -.13
    Family income .04 .07 .07 .09 -.10 -.08 -.10 -.05
    Marital status -.01 .00 -.01 .02 .02 .03 .01 .04
    Maternal education .11 .10 .10 .08 .06 .05 .05 -.00
    Maternal health .41** .42** .42** .37** -.03 -.02 -.03 -.09
    Child gender -.16 -.15 -.15 -.13 -.05 -.05 -.05 -.01
    Child health -.01 .01 .01 .02 32** .32** .32** .32**
    Child age .06 .13 .14 .12 .07 .09 .09 .06

Step 2: Age variable
    Maternal age at birth of child with DS .11 .10 .11 .02 .03 .06

Step 3: Maternal social support
    Size of social network .05 .06 .07 .08
    Attend parent group .04 .03 .00 -.02

Step 4: Child behavioral phenotype
    Functional abilities -.06 .05
    Behavior problems -.26** -.35**

ΔR2 .24** .01 .00 .06* .11** .00 .00 .12**
**

p < .01

*

p < .05

β coefficients presented in table.

Marital status coded: 0=single/divorced/widowed, 1=married

Maternal education coded: 0=some college or less, 1=college degree or higher

Gender coded: 0=male, 1=female

Attend parent group coded: 0=no, 1=yes