Table 4.
ALI | Allostatic load |
Age |
Sex |
AICc | ||||||
---|---|---|---|---|---|---|---|---|---|---|
P | OR | 95% CI | P | OR | 95% CI | P | OR | 95% CI | ||
Baseline | .052 | 1.05 | 1.00-1.11 | .0004 | 10.25 | 3.06-41.98 | 71.3 | |||
PS1 ALQ | .234 | 1.19 | 0.90-1.61 | 85.3 | ||||||
.246 | 1.24 | 0.87-1.81 | .119 | 1.04 | 0.99-1.10 | .0004 | 11.57 | 3.32-51.33 | 72.2 | |
PS2 ALQ | .609 | 0.92 | 0.68-1.25 | 86.6 | ||||||
.215 | 0.78 | 0.52-1.14 | .026 | 1.06 | 1.01-1.13 | .0004 | 10.94 | 3.20-46.07 | 72.0 | |
PS1 ALM | .953 | 0.99 | 0.71-1.38 | 86.8 | ||||||
.455 | 0.85 | 0.55-1.29 | .037 | 1.06 | 1.01-1.12 | .0004 | 10.31 | 3.07-42.36 | 73.0 | |
PS2 ALM | .478 | 1.11 | 0.84-1.48 | 86.3 | ||||||
.733 | 1.06 | 0.75-1.52 | .083 | 1.05 | 1.00-1.11 | .0004 | 10.40 | 3.09-43.11 | 73.5 |
Abbreviations: AICc, Akaike’s information criterion, adjusted for small sample size; ALI, allostatic load index; ALM, multimethod approach, allostatic load estimated using primarily 1-tailed quartiles but also some 2-tailed split quartiles (top and bottom 12.5%), depending on the biomarker (eg, cortisol); ALQ, allostatic load estimated using traditional 1-tailed quartiles for each biomarker; CI, confidence intervals; OR, odds ratio; PS1, pooled sample 1, allostatic load estimated at each zoo independently prior to pooling the sample; PS2, pooled sample 2, allostatic load estimated after pooling biomarkers from all locations.
Reference groups: cardiac disease, 1 = had condition; sex, male. The best fit model, as determined by the lowest AICc score, is the baseline model and is in bold.