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Table 3 Multiple logistic regression analysis models for the association between hyperuricemia (dependent variable) and EDIR and ELIR (independent variables)

From: The association between hyperuricemia and insulin resistance surrogates, dietary- and lifestyle insulin resistance indices in an Iranian population: MASHAD cohort study

 

EDIR quartiles

ELIR quartiles

Q1

Q2

Q3

Q4

p-trend

Q1

Q2

Q3

Q4

p-trend

Model 1

1

0.95 (0.74–1.22) *

0.98 (0.77–1.26)

1.02 (0.80–1.31)

0.83

1

1.73 (1.31–2.36)

2.43 (1.83–3.22)

2.79 (2.10–3.70)

< 0.001

Model 2

1

0.94 (0.73–1.22)

0.98 (0.76–1.28)

1.07 (0.82–1.42)

0.57

1

1.79 (1.34–2.41)

2.52 (1.90–3.36)

3.13 (2.34–4.18)

< 0.001

Model 3

1

0.86 (0.62–1.19)

0.79 (0.57–1.10)

0.88 (0.63–1.22)

0.38

1

1.32 (0.92–1.91)

1.66 (1.16–2.38)

1.93 (1.33–2.80)

< 0.001

  1. Model1: adjusted for age, sex; Model2: Model1 + BMI (only for EDIR), energy intake, education level, smoking status, physical activity level (only for EDIR); Model3: Model2 + chronic diseases including diabetes, hypertension, or dyslipidemia, and estimated glomerular filtration rate. BMI: body mass index; EDIR: empirical dietary index for insulin resistance; ELIR: empirical lifestyle index for insulin resistance. Multiple logistic regression analysis was applied. *shows odds ratio (confidence interval)