In females T2D, high fasting glucose concentration, hypertension, earlier CV events, and physical inactivity were significant risk factors for CV mortality (model 1 in Table 4).
Compared with models adjusted for age, sex, and season (model 1), the risk ratios by 25(OH D quintile (using the top quintile as reference) were attenuated for all outcomes by additional adjustment for conventional risk factors for premature mortality (model 2; supplementary tables 5-7).
In the mortality models, all risk factors that were significant at ≤0.20 in the univariate analyses, as well as all biologically plausible factors even if they did not reach this level of significance, were included in the corresponding multivariable analyses.
In the all-cause mortality model, having dark blue eyes was a protective factor.
A limiting factor in the construction and evaluation of new age-dependent mortality models is the paucity of data characterizing vector mortality patterns, particularly for free ranging vectors in the field.
In model 3 we adjusted for the covariates in model 2 plus mortality risk factors from a previous analysis conducted in this cohort.
The standard Cox survival model assumes that the survival time of each subject is statistically independent from that of other subjects after controlling for the mortality risk factors included in the model.
