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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Popul Dev Rev. 2014 Jun 14;40(2):331–360. doi: 10.1111/j.1728-4457.2014.00676.x

Table 5.

Coefficients from selected models predicting mortality using social and demographic characteristics, self-reported indicators of health status, and biomarkers

Model 1 Model 7 Model 9b
Age slopea
  Age 0.08*** 0.06** 0.08**
  Age × Perceived social support 0.05*** 0.04** 0.04***
  Age × Current smoker 0.11* 0.13** 0.15**
  Age × Change in DHEAS (square-root) 0.04***
Female −0.61* −0.85** −0.11
Mainlander −0.62* −0.65* −0.70*
Urban resident 0.03 −0.09 −0.15
Educationb 0.12 0.19 0.32*
Social integrationb −0.10 −0.07 −0.07
Perceived social supportb −1.05*** −0.94*** −1.02***
Self-assessed health statusb −0.20 −0.19 −0.19
Index of mobility limitationsb 0.38** 0.30* 0.37*
History of diabetes 0.33 −0.04 −0.18
History of cancer 0.34 0.01 0.55
Number of hospitalizationsb 0.28*** 0.27*** 0.23**
Former smoker 0.12 −0.01 0.19
Current smoker −1.97* −2.64** −2.90**
Biomarker risk score in 2006b 0.70***
Change (2006 – 2000) in biomarker riskb −0.29*
HDL (log) in 2006b −0.18
Change (2006 – 2000) in HDL (log)b 0.13
BMI (log) in 2006b −0.16
Change (2006 – 2000) in BMI (log)b −0.07
IL-6 (log) in 2006b 0.55***
Change (2006 – 2000) in IL-6 (log)b −0.29
CRP (log) in 2006b 0.02
Change (2006 – 2000) in CRP (log)b 0.00
sICAM-1 (square root) in 2006b 0.29*
Change (2006 – 2000) in sICAM-1 (square root)b −0.06
sE-selectin (log) in 2006b 0.07
Change (2006 – 2000) in sE-selectin (log)b −0.02
DHEAS (square-root)in 2006b −0.14
Change (2006 – 2000) in DHEAS (square-root)b −0.86***
Creatinine clearance in 2006b 0.27
Change (2006 – 2000) in Creatinine clearanceb −0.18
Albumin (cubed) in 2006b −0.02
Change (2006 – 2000) in Albumin (cubed)b −0.05
Hcy (log) in 2006b 0.57**
Change (2006 – 2000) in Hcy (log)b −0.06
Interceptc −4.86*** −4.32*** −5.21***
a

The age slope represents the exponential increase in the mortality rate per year of age.

b

This variable was standardized (Mean=0, SD=1) prior to fitting the model; so, the coefficient represents the effect per SD of the specified variable.

c

Time was measured in terms of years after age 60. Thus, the intercept represents the mortality rate at age 60.