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Table 9 Multivariable analyses of risk factors for kidney disease using logistic regression; three explanatory models

From: Prevalence and risk factors of kidney disease in urban Karachi: baseline findings from a community cohort study

Models

Kidney diseasea

 

aPOR (95% CI)

P value

Model 1:

  

Age groups

  

 40+ yrs

3.2 (1.7-6.0)

0.000**

 <=39

Ref

 

Smoking and hypertension status

  

 Normotensive AND smoker

1.6 ( 0.6-4.0)

0.35

 Hypertensive AND non smoker

1.5 ( 0.7-3.2)

0.28

 Hypertensive AND smoker

4.8 ( 1.1-20.3)

0.034**

 Normotensive AND non smoker

Ref

 

Gender

  

 Male

1.6 (0.8-3.0)

0.11

 Female

Ref

 

Model 2:

  

Diabetes and hypertension status

  

 Normotensive AND diabetic

1.9 (0.58-6.2)

0.29

 Hypertensive AND non diabetic

2.2 (1.1-4.5)

0.03*

 Hypertensive AND diabetic

6.4 (2.0-20.5)

0.002*

 Normotensive AND non diabetic

Ref

 

Gender

  

 Male

1.8 (0.97-3.2)

0.06

 Female

Ref

 

Model 3:

  

Age groups

  

 40+ yrs

3.4 (1.8-6.3)

0.000**

 <=39

Ref

 

Diabetes and smoking status

  

 Non diabetic AND smoker

1.8 (0.7-4.2)

0.2

 Diabetic AND non smoker

1.6 (0.6-4.4)

0.3

 Diabetic AND smoker

3.1 (0.6-16.4)

0.2

 Non diabetic AND non smoker

Ref

 

Gender

  

 Male

1.5 (0.8-2.8)

0.2

 Female

Ref

 
  1. a. The reference category is: No Kidney Disease.
  2. *p value < 0.05; **p value < 0.0001 calculated by logistic regression.
  3. Abbreviations are: CI-Confidence Interval, Ref-reference.