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. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: Soc Sci Med. 2016 Jul 28;166:137–149. doi: 10.1016/j.socscimed.2016.07.035

Table 4.

Marginal Effects of Regression Models Predicting W2 Elevated CRP Using Number of Disconnected or Poorly Connected Kin Pairs (N = 938).a

Variables (1)
Number of Kin Pairs R Bridges W1b .044**
(.017)
Age (divided by 10) W1 −.007
(.029)
Female .085**
(.028)
Race (ref=White)
  African American .147*
(.058)
  Other .091
(.079)
Partner status W1 (ref=Married/Partnered)
  Separated/Divorced −.078
(.045)
  Widowed −.037
(.045)
  Never married .110
(.116)
Network size W1 −.012
(.012)
Proportion of kin in network W1 −.047
(.070)
Family relationship quality W1 .001
(.040)
Average closeness to alters (1–4) W1 −.095*
(.042)
Average interaction with alters (1–8) W1 .038*
(.020)
Chronic conditions W1 .013
(.012)
Currently smokes W1 −.024
(.059)
Obese W1 (1=yes) .094*
(.038)
Depression W1 −.079*
(.038)
Elevated CRP W1 .265***
(.033)

F(df) 7.49***(23, 29)
***

p<0.001,

**

p<0.01,

*

p<0.05,

p<.10 (Two-tailed tests). Standard errors in parentheses.

a

Estimates are weighted using NSHAP Wave 1 respondent level weights (adjusted for attrition and selection at Wave 2, age and urbanicity). All models are adjusted for multistage, clustered survey design and include controls for educational attainment and Hispanic ethnicity, which are not significant and not show due to space constraints.

b

Applies only to respondents with at least two kin network members.