Table 4.
Multivariate logistic regression analysis estimating correlates of CKD
| Variable | eGFR < 60 mL/min/1.73 m2 | ||
|---|---|---|---|
| Odds ratio | 95% CI | P | |
| Age, rising | 1.08 | 1.02–1.14 | 0.012 |
| Hypertension | 1.50 | 0.87–2.56 | 0.140 |
| Diabetes mellitus | 0.67 | 0.31–1.43 | 0.296 |
| Sex: F versus M | 1.97 | 0.87–4.49 | 0.105 |
| Cardiovascular disease | 1.87 | 1.15–3.03 | 0.011 |
| Smoking | 0.84 | 0.37–1.96 | 0.694 |
| SBP | 0.99 | 0.98–1.00 | 0.054 |
| DBP | 1.02 | 0.99–1.04 | 0.219 |
| MBP | 0.99 | 0.98–1.01 | 0.373 |
| BMI, rising | 0.97 | 0.93–1.03 | 0.357 |
| WtHR, rising | 0.13 | 0.00–0.66 | 0.031 |
| LDL | 0.95 | 0.40–2.26 | 0.915 |
| Education | 1.14 | 0.44–2.91 | 0.790 |
WOBASZ Senior: general population of the study: 918 (F 452, M 466); CKD population: 196 (F 129, M 67); age ≥75
F female, M male, BMI body mass index (kg/m2), WtHR waist-to-hip ratio, SBP, DBP, MBP systolic, diastolic, mean blood pressure; education other versus university
Bold letters—statistically significant