Table 3 Logistic regression results of men, 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

1.30(1.16,1.45)^**

1.24(1.11,1.38) ^**

1.28(1.15,1.42) ^**

1.21(1.09,1.35) ^**

  Advanced

1.46(1.14,1.87) ^**

1.27(0.99,1.63)

1.26(0.99,1.62)

1.12(0.87,1.44)

 Married ^{[Contrast: unmarried, divorced and widowed]}

1.41(1.17,1.70) ^**

1.40(1.16,1.70) ^**

1.45(1.21,1.75) ^**

1.43(1.19,1.72) ^**

 Present smoker^{[Contrast: ex-smoker& non-smoker]}

0.66(0.60,0.73) ^**

0.77(0.70,0.85) ^**

 Present drinker^{[Contrast: ex-drinker& non-drinker]}

1.05(0.95,1.16)

1.02(0.93,1.13)

 Physically active^{[Contrast: physically inactive]}

0.72(0.65,0.81) ^**

0.70(0.63,0.79) ^**

 High fat intake^{[Contrast: low ]}

1.02(0.92,1.12)

1.00(0.91,1.10)

 High meat intake^{[Contrast: low ]}

1.15(1.05,1.27) ^**

1.12(1.02,1.24) ^*

 High fruits & vegetables intake^{[Contrast: low ]}

1.19(1.08,1.31) ^**

1.21(1.10,1.33) ^**

SES: Income level^{[contrast: low]}

Model 3(Step1)

Model 3(Step 2)

Model 4(Step1)

Model 4(Step 2)

  Medium

1.24(1.10,1.40) ^**

1.20(1.06,1.35) ^**

1.17(1.04,1.32) ^*

1.15(1.01,1.29) ^*

  High

1.42(1.27,1.60) ^**

1.35(1.20,1.51) ^**

1.49(1.33,1.67) ^**

1.42(1.26,1.59) ^**

 Married ^{[Contrast: unmarried, divorced and widowed]}

1.40(1.16,1.69) ^**

1.40(1.16,1.69) ^**

1.44(1.20,1.73) ^**

1.43(1.19,1.72) ^**

 Present smoker^{[Contrast: ex-smoker& non-smoker]}

0.66(0.60,0.73) ^**

0.77(0.70,0.86) ^*

 Present drinker^{[Contrast: ex-drinker& non-drinker]}

1.06(0.95,1.17)

1.03(0.93,1.13)

 Physically active^{[Contrast: physically inactive]}

0.74(0.66,0.82) ^**

0.72(0.65,0.81) ^**

 High fat intake^{[Contrast: low ]}

1.03(0.93,1.13)

1.02(0.92,1.12)

 High meat intake^{[Contrast: low ]}

1.13(1.02,1.25) ^*

1.09(0.99,1.20)

 High fruits & vegetables intake^{[Contrast: low ]}

1.22(1.11,1.34) ^**

1.24(1.13,1.36) ^**