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. 2014 Sep 11;2014(1):122–133. doi: 10.1093/emph/eou021

Table 3.

Standardized effects of influence and income when entered jointly in linear GEE models of biomarkers and in binary logistic GEE models of disease diagnoses, with age and BMI as controls

Effect of influence Effect of income
Health measure n Number of observations Β Β
Cortisol 103 171 −0.27** 0.19*
Sed. rate 114 251 −0.09 −0.07
CRP 58 58 −0.01 −0.09
Lymphocytes 112 241 0.04 −0.04
Systolic BP 166 461 −0.06 0.04
Diastolic BP 166 461 −0.09 0.17
Health measure n Number of observations Effect of influence Effect of income
OR 95% CI OR 95% CI
Cardiovascular 166 456 1.14 0.74–1.75 1.65 0.81–3.34
Intestinal parasites 108 231 0.84 0.57–1.24 0.90 0.61–1.32
Respiratory infection 166 456 0.73* 0.54–0.99 1.10 0.82–1.47
Skin infection 166 456 1.02 0.69–1.52 0.81 0.57–1.15

Notes: The lymphocytes model also controls for current infection status. Odds ratios (OR) are for increments of 1 SD of influence or income. The sample sizes vary because different random samples of urine, serum and feces were collected and analyzed. *P < 0.05; **P < 0.01.