Table 3

The association of sex, a one-year increase in age, with frailty on risk of all-cause mortality at 146 months using cox regression models of proportional hazard. Frailty is represented in model 1 as a 0.01 increase in FI score whereas model 2 includes a 1-point increase in frailty phenotype score

ModelFactorsHazard ratioP-value95% Confidence interval
LowerUpper
Model 1Age1.088<0.0011.0711.105
Sex0.600<0.0010.4710.765
FI1.036<0.0011.0231.050
AIC4,167
Model 2Age1.097<0.0011.0801.113
Sex0.596<0.0010.4670.760
Frailty phenotype1.288<0.0011.1451.449
AIC4,178
ModelFactorsHazard ratioP-value95% Confidence interval
LowerUpper
Model 1Age1.088<0.0011.0711.105
Sex0.600<0.0010.4710.765
FI1.036<0.0011.0231.050
AIC4,167
Model 2Age1.097<0.0011.0801.113
Sex0.596<0.0010.4670.760
Frailty phenotype1.288<0.0011.1451.449
AIC4,178
Table 3

The association of sex, a one-year increase in age, with frailty on risk of all-cause mortality at 146 months using cox regression models of proportional hazard. Frailty is represented in model 1 as a 0.01 increase in FI score whereas model 2 includes a 1-point increase in frailty phenotype score

ModelFactorsHazard ratioP-value95% Confidence interval
LowerUpper
Model 1Age1.088<0.0011.0711.105
Sex0.600<0.0010.4710.765
FI1.036<0.0011.0231.050
AIC4,167
Model 2Age1.097<0.0011.0801.113
Sex0.596<0.0010.4670.760
Frailty phenotype1.288<0.0011.1451.449
AIC4,178
ModelFactorsHazard ratioP-value95% Confidence interval
LowerUpper
Model 1Age1.088<0.0011.0711.105
Sex0.600<0.0010.4710.765
FI1.036<0.0011.0231.050
AIC4,167
Model 2Age1.097<0.0011.0801.113
Sex0.596<0.0010.4670.760
Frailty phenotype1.288<0.0011.1451.449
AIC4,178
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