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. Author manuscript; available in PMC: 2013 Aug 1.
Published in final edited form as: Biol Psychiatry. 2012 Apr 21;72(3):228–237. doi: 10.1016/j.biopsych.2012.03.009

Table 5.

Percentage of PARP estimates associated with each of seven components of total household income1

Components of total household income
Country income level Disability Employment Marriage Spouse
employment
Personal
earnings
Spouse
earnings
Other
household
income
(n)

I. Men
 Low/lower-middle 63.9 86.4 19.8 0.5 122.3 −0.5 23.2 (5,654)
 Upper-middle 58.4 83.7 19.9 3.8 119.0 4.6 18.2 (3,310)
High 51.8 76.0 18.8 7.4 118.3 11.7 6.1 (7,600)
 All countries 54.9 78.9 19.2 5.8 119.0 8.7 10.3 (16,564)
II. Women
 Low/lower-middle 46.0 24.3 33.0 39.1 76.8 65.8 −8.8 (6,508)
 Upper-middle 44.9 22.9 30.4 36.9 65.3 64.8 −2.8 (4,745)
 High 39.1 20.4 26.0 31.9 53.2 56.9 5.3 (9,924)
 All countries 41.2 21.4 28.0 34.2 58.6 60.0 1.3 (21,177)
III. Men and women combined
 Low/lower-middle 50.8 52.5 26.1 11.8 103.3 26.7 4.7 (12,162)
 Upper-middle 48.0 49.0 25.0 13.7 94.9 28.4 6.4 (8,055)
 High 43.2 43.0 22.8 15.4 85.7 31.0 4.9 (17,524)
 All countries 45.2 45.5 23.9 14.8 90.0 30.2 4.7 (37,741)
1

The simulations in Table 4 were rerun seven times, each time with a control for one of the seven components of total household income. The entries here are equal to 100% minus the ratio of the simulation with the additional control over the corresponding simulation from Table 4 (i.e. without the additional control). These numbers represent the percent of PARP explained by the additional control. For example, if disorders no longer predicted total household income at all after controlling for a given component, the entry would be 100%, indicating that the control fully accounts for the PARP. If the addition of a control reverses the sign of disorders predicting total household income, the entry in Table 5 will be greater than 100%. If the addition of the control makes the association between disorders and household income stronger (i.e. more negative), the entry on Table 5 will be negative.

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