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. Author manuscript; available in PMC: 2015 Jul 1.
Published in final edited form as: Aging Ment Health. 2013 Dec 12;18(5):610–618. doi: 10.1080/13607863.2013.860951

Table 3.

Regression Analyses Predicting W2 Health Markers by Age, Lifetime adversity and their Interaction

Disability Quality of life Cognitive functioning

B β B β B β
Step 1R2) 0.363*** 0.248*** 0.358***
Baseline level of markera 0.91 0.60*** 0.50 0.49*** 0.65 0.59***
Step 2R2) 0.033*** 0.072*** 0.068***
Genderb −0.10 −0.02 0.11 0.01 −0.02 −0.01
Origin: Mid-East/North Africac 0.19 0.03 −1.14 −0.07* −0.07 −0.03
Origin: Europe/Americac 0.21 0.03 −0.66 −0.04 −0.05 −0.02
Origin: former Soviet Unionc 0.81 0.05* −3.01 −0.07** −0.48 −0.09***
Origin: Israeli Arabsc 0.69 0.10*** 0.26 0.52 0.15 0.07*
Education −0.16 −0.11*** 0.79 0.21*** 0.12 0.25***
Marital statusd −0.28 −0.01 2.02 0.11*** 0.16 0.07**
Household income −0.00 −0.01 0.00 0.06* 0.00 0.05*
Step 3R2) 0.032*** 0.006** 0.054***
Age 0.05 0.20*** −0.06 −0.08** −0.02 −0.26***
Step 4R2) 0.000 0.002 0.000
Lifetime adversity −0.01 −0.01 −0.14 −0.04 −0.00 −0.00
Step 5R2) 0.002* 0.003* 0.002*
Age X Lifetime adversity 0.01 0.04* −0.02 −0.06* −0.00 −0.05*
R2 0.430*** 0.331*** 0.483***

Note. N ranged 1,116 to 1,234.

a

Baseline level of marker refers to the outcome in W1.

b

Coded 1 = man, 2 = woman.

c

The dummy variables of origin are contrasted with Israeli-born.

d

Coded 1 = currently unmarried, 2 = married.

*

p < .05,

**

p < .01,

***

p < .001.