Table 2. Risk factors for CKD of unknown origin in univariable and multivariable logistics regression analysis.
Univariable model | Multivariable model | ||||||
---|---|---|---|---|---|---|---|
Model 1 § | Model 2 §§ | ||||||
Variable | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Age | 1.08 | 1.07–1.10 | 1.11 | 1.09–1.13 | 1.1 | 1.09–1.13 | |
Sex | Male | Ref | Ref | Ref | |||
Female | 6.07 | 4.60–8.01 | 7.52 | 5.69–12.77 | 8.64 | 5.76–12.98 | |
Marital status | Married | Ref | Ref | Ref | |||
Single | 3.07 | 2.11–4.48 | 1.50 | 0.93–2.42 | 1.50 | 0.93–2.42 | |
Physical activity | 1st Tertile | 1.15 | 0.85–1.55 | - | - | ||
2nd Tertile | 1.49 | 1.11–2.01 | - | - | |||
3rd Tertile | Ref | - | - | ||||
P for linear trend | 0.338 | - | - | ||||
Low HDL | No | Ref | - | - | |||
Yes | 1.17 | 0.92–1.49 | - | - | |||
Hyper TG | No | Ref | Ref | Ref | |||
Yes | 1.72 | 1.33–2.24 | 1.53 | 1.11–2.12 | 1.55 | 1.12–2.15 | |
BMI | <18.5 | 0.26 | 0.13–0.54 | 0.32 | 0.14–0.72 | 0.32 | 0.14–0.73 |
18.5–25 | Ref | Ref | Ref | ||||
> = 25 | 1.98 | 1.53–2.58 | 1.33 | 0.96–1.84 | 1.32 | 0.95–1.84 | |
P for linear trend | <0.001 | <0.001 | <0.001 | ||||
Smoking status | Non smoker | Ref | Ref | Ref | |||
Current smoker | 0.32 | 0.18–0.54 | 1.04 | 0.53–2.05 | 1.05 | 0.53–2.07 | |
Previous smoker | 0.32 | 0.21–0.49 | 0.97 | 0.55–1.70 | 1.00 | 0.57–1.74 | |
Indoor use of pesticides | No | Ref | Ref | - | |||
Yes | 1.47 | 1.15–1.87 | 1.36 | 1.01–1.84 | - | ||
Duration of exposure to indoor pesticides (minutes) | Non users | Ref | - | Ref | |||
1st Tertile (<9) | 1.56 | 1.10–2.21 | - | 1.33 | 0.87–2.03 | ||
2ndTertile (9–20) | 1.26 | 0.89–1.80 | - | 1.16 | 0.75–1.79 | ||
3rdTertile (>20) | 1.60 | 1.12–2.28 | - | 1.64 | 1.07–2.51 | ||
P for linear trend | 0.038 | 0.056 |
§ Model 1 included variables: age, sex, marital status, BMI, smoking, TG, house use of pesticides
§§ Model 2 included variables: age, sex, marital status, BMI, smoking, TG, house use of pesticides exposure time