Table 4—

Binary logistic regression: risk factors were selected stepwise in different models taking type 2 diabetes as a dependent variable

Risk factorsModel 1Model 2Model 3Model 4
Sex*0.78 (0.46–1.27)0.88 (0.52–1.48)1.46 (0.81–2.66)0.74 (0.40–1.35)
Income (tertile)
 Low1111
 Middle1.14 (0.65–2.02)1.25 (0.70–2.22)1.35 (0.73–2.47)1.26 (0.67–2.34)
 High4.12 (2.06–8.24)4.32 (2.13–8.77)3.54 (1.65–7.59)3.07 (1.39–6.80)
Age
 Quartile 1†111
 Quartile 21.72 (0.67–4.38)1.48 (0.55–4.00)1.51 (0.55–4.11)
 Quartile 32.81 (1.22–6.43)2.03 (0.82–5.02)2.02 (0.82–5.02)
 Quartile 44.40 (1.92–10.10)3.08 (1.23–7.75)3.04 (1.21–7.67)
WHR
 Quartile 111
 Quartile 21.83 (0.67–4.97)1.83 (0.67–4.98)
 Quartile 32.37 (0.92–6.11)2.32 (0.90–5.99)
 Quartile 44.28 (1.68–10.88)3.94 (1.54–10.09)
Physical activities
 ≥90 min1
 60–89 min1.69 (0.74–3.85)
 <60 min1.83 (0.73–4.58)
  • Data are OR(95% CI). BMI quartile was entered into the equation and found to be not significant.

  • *

    * Male sex = 1 and female sex = 2

  • quartile 1 is taken as the reference category

  • physical activities are equivalent to walking “X” min/24 h(excluded from models 1 to 3).