Table A-4.

Biomarker summary scores: coefficients from models predicting mortality using social and demographic characteristics, self-reported indicators of health status, and biomarker summary scores

	Model 0	Model 2	Model 3	Model 6
Age slopea
Age	0.11***	0.09***	0.09***	0.06**
Age × Perceived social support	0.04***	0.03**	0.03**	0.04***
Age × Current smoker			0.14**	0.14**
Female	−0.46*	−0.67**	−0.77**	−0.82**
Mainlander	−0.55*	−0.58*	−0.57*	−0.64*
Urban resident	−0.06	−0.18	−0.21	−0.08
Educationb	0.03	0.12	0.16	0.16
Social integrationb	−0.14	−0.12	−0.09	−0.09
Perceived social supportb	−0.96***	−0.82***	−0.81**	−0.98***
Self-assessed health statusb				−0.18
Index of mobility limitationsb				0.34*
History of diabetes				0.07
History of cancer				0.11
Number of hospitalizationsb				0.28***
Former smoker				−0.02
Current smoker				−2.73**
Biomarker risk score in 2006b		0.60***	0.80***	0.53***
Change (2006 – 2000) in biomarker riskb			−0.35**
Interceptc	−5.13***	−4.83***	−4.77***	−4.35***

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

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

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