Table 4

Logistic regression results of women, Zhejiang metabolic syndrome prevalence survey, China, 2010 a
Independents d General overweight & obesity b Abdominal overweight & obesity c
SES-Education level[Contrast: primary or lower] Model 1(Step1) Model 1(Step 2) Model 2(Step1) Model 2(Step 2)
  Secondary 0.81(0.72,0.90)** 0.80(0.71,0.89) ** 0.87(0.78,0.96) ** 0.85(0.77,0.95) **
  Advanced 0.66(0.49,0.90) ** 0.65(0.48,0.88) ** 0.75(0.56,0.98) * 0.73(0.55,0.97) *
 Married [Contrast: unmarried, divorced and widowed] 1.09(0.93,1.28) 1.09(0.93,1.28) 1.14(1.11,1.16) ** 1.15(0.98,1.34)
 Present smoker[Contrast: ex-smoker& non-smoker] 0.79(0.48,1.30) 0.82(0.51,1.33)
 Present drinker[Contrast: ex-drinker& non-drinker] 1.15(0.96,1.37) 1.27(1.06,1.51) **
 Physically active[Contrast: physically inactive] 1.04(0.91,1.19) 0.90(0.79,1.03)
 High fat intake[Contrast: low ] 0.98(0.89,1.07) 0.93(0.85,1.02)
 High meat intake[Contrast: low ] 0.97(0.88,1.06) 0.97(0.89,1.06)
 High fruits & vegetables intake[Contrast: low ] 1.20(1.09,1.31) ** 1.16(1.06,1.27) **
SES-Income level[contrast: low] Model 3(Step1) Model 3(Step 2) Model 4(Step1) Model 4(Step 2)
  Medium 0.97(0.89,1.09) 0.97(0.87,1.09) 1.01(0.90,1.13) 1.01(0.90,1.13)
  High 0.99(0.89,1.10) 1.00(0.90,1.12) 1.14(1.02,1.26) * 1.14(1.02,1.27) *
 Married [Contrast: unmarried, divorced and widowed] 1.10(0.94,1.29) 1.10(0.94,1.29) 1.16(0.99,1.35) 1.16(0.99,1.36)
 Present smoker[Contrast: ex-smoker& non-smoker] 0.77(0.47,1.27) 0.81(0.50,1.31)
 Present drinker[Contrast: ex-drinker& non-drinker] 1.15(0.97,1.38) 1.27(1.06,1.51) **
 Physically active[Contrast: physically inactive] 1.03(0.90,1.18) 0.90(0.79,1.03)
 High fat intake[Contrast: low ] 1.00(0.91,1.10) 0.96(0.88,1.05)
 High meat intake[Contrast: low ] 0.96(0.87,1.05) 0.95(0.87,1.04)
 High fruits & vegetables intake[Contrast: low ] 1.19(1.08,1.30) ** 1.16(1.06,1.27) **

a All presented values are ORs with 95% confidence intervals b Defined as BMI ≥ 24 kg/m2c Defined as WC ≥ 80 cm.

d Age and age2 were included in every model *p < 0.05 **p < 0.01.

Xiao et al.

Xiao et al. BMC Public Health 2013 13:355   doi:10.1186/1471-2458-13-355

Open Data