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Table 4 Association between selected risk factors and renal impairment in the survey population: Multivariate logistic regression.

From: Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and Modification of Diet in Renal Disease equation: an observational, cross-sectional study

  OR (95% CI)
Model 1#
OR (95% CI)
Model 2#
Age above 60 years 29.489 (21.417–40.604) 13.499 (8.908–20.456)
Gender (Females) 1.529 (1.090–2.145) 3.259 (2.399–4.426)
Education: Less than primary 1.309 (1.013–1.693) ns
Obese by BMI 0.401 (0.310–0.517) ns
Obese by WC 1.338 (1.084–1.652) 1.577 (1.168–2.129)
Hypertension 1.735 (1.388–2.169) 1.370 (1.024–1.833)
Diabetes mellitus 1.513 (1.048–2.184) 2.154 (1.289–3.598)
Proteinuria 16.728 (8.408–33.281) 14.645 (9.167–23.395)
NSAID intake 1.337 (1.010–1.770) ns
  1. Model 1 = Using Cockcroft-Gault equation estimated glomerular filtration rates.
  2. Model 2 = Using Modification of Diet in Renal Disease equation estimated glomerular filtration rates.
  3. # All associations significant at p < 0.05
  4. OR, odds ratio; 95% CI, 95% confidence interval; BMI, body mass index; WC, waist circumference; NSAID, non steroidal anti inflammatory drugs; ns, not significant.