Table 4 Logistic regression results of women, Zhejiang metabolic syndrome prevalence survey, China, 2010 ^a

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) ^**