Table 4.
The Association of Log Aldosterone and Log Renin With Incident Diabetes
| Unadjusted | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
|---|---|---|---|---|---|---|
| Cox proportional hazards model: HR (95% CI) for incident diabetes (n = 3234)a | ||||||
| Log aldosterone | ||||||
| Quintile 1 | Referent | Referent | Referent | Referent | Referent | Referent |
| Quintile 2 | 1.15 (0.85, 1.54) | 1.19 (0.89, 1.60) | 1.20 (0.89, 1.62) | 1.21 (0.90, 1.63) | 1.20 (0.89, 1.61) | 1.17 (0.87, 1.58) |
| Quintile 3 | 1.21 (0.91, 1.62) | 1.24 (0.93, 1.67) | 1.25 (0.94, 1.68) | 1.25 (0.93, 1.68) | 1.26 (0.94, 1.69) | 1.14 (0.85, 1.53) |
| Quintile 4 | 1.74 (1.33, 2.29) | 1.80 (1.37, 2.37) | 1.79 (1.36, 2.36) | 1.79 (1.36, 2.36) | 1.79 (1.36, 2.36) | 1.62 (1.23, 2.13) |
| Quintile 5 | 1.85 (1.41, 2.43) | 1.86 (1.42, 2.44) | 1.83 (1.40, 2.41) | 1.83 (1.39, 2.40) | 1.78 (1.35, 2.34) | 1.61 (1.22, 2.12) |
| P for trendc | <.0001 | |||||
| Cox proportional hazards model: HR (95% CI) for incident diabetes (n = 3234)a | ||||||
| Log reninb | ||||||
| Quintile 1 | Referent | Referent | Referent | Referent | Referent | Referent |
| Quintile 2 | 0.89 (0.68 1.16) | 0.88 (0.67, 1.15) | 0.90 (0.69, 1.19) | 0.90 (0.69, 1.19) | 0.91 (0.69, 1.19) | 0.88 (0.67, 1.15) |
| Quintile 3 | 1.08 (0.84, 1.40) | 1.11 (0.86, 1.44) | 1.15 (0.88, 1.49) | 1.13 (0.87, 1.47) | 1.13 (0.87, 1.46) | 1.07 (0.82, 1.39) |
| Quintile 4 | 0.88 (0.68, 1.14) | 0.88 (0.68, 1.15) | 0.95 (0.73, 1.24) | 0.94 (0.72, 1.22) | 0.92 (0.70, 1.19) | 0.87 (0.67, 1.14) |
| Quintile 5 | 1.37 (1.08, 1.73) | 1.35 (1.07, 1.72) | 1.44 (1.14, 1.84) | 1.42 (1.12, 1.81) | 1.35 (1.06, 1.72) | 1.21 (0.95, 1.55) |
| P for trendc | .036 | |||||
a
Models included the following: model 1, age, sex, education, and current occupation status; model 2, model 1 + systolic BP (millimeters of mercury); model 3, model 2 + smoking, physical activity (American Heart Association Life's Simple 7), dietary intake (American Heart Association Life's Simple 7), and alcohol use; model 4, model 3 + BMI (kilograms per square meter)d; and model 5, model 3 + adiponectin.
b
Log renin quintiles were created by combining log-transformed quintiles of PRA and ARMC.
c
P for trend was calculated using a log-rank test.
d
The BMI was calculated as the weight in kilograms divided by the square of the height in meters.