Table 5.
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*** |
The age slope represents the exponential increase in the mortality rate per year of age.
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.
Time was measured in terms of years after age 60. Thus, the intercept represents the mortality rate at age 60.