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Table 2 The bivariate analyses of the relationships between the risk factors and metabolic syndrome (n = 1482)

From: Ethnic disparity in metabolic syndrome and related obesity and health behavior: a community study in Taiwan

Variables

Crude POR (95% CI)

P value

Sociodemographic characteristics

 Ethnicity (Reference: Han)

3.14 (2.38–4.13)

 < 0.001

 Sex (Reference: male)

0.98 (0.76–1.27)

 

 Age (Reference: 20–49 years)

  50–59 years

1.05 (0.83–1.33)

0.704

  60–69 years

1.39 (1.03–1.87)

0.032

  ≥ 70 years

1.78 (1.31–2.42)

 < 0.001

 Education (Reference: elementary school)

  High school

1.32 (1.04–1.68)

0.022

  At least with college

0.74 (0.57–0.97)

0.027

 Marital status (Reference: singlea)

0.70 (0.54–0.92)

0.009

 Employed status (Reference: not employed)

1.13 (0.90–1.44)

0.296

Health Behavior

 Smoking (Reference: no)

1.29 (0.92–1.80)

0.141

 Drinking alcohol (Reference: no)

1.40 (1.02–1.93)

0.037

 Regular exercise (Reference: yes)

1.10 (0.87–1.39)

0.450

 Vegetable intake (Reference: ≥ 3 servings/day)

0.84 (0.65–1.07)

0.160

 Fruit intake (Reference: ≥ 2 servings/day)

1.08 (0.85–1.37)

0.534

 Fried food intake (Reference: < 3 times/week)

1.26 (0.77–2.09)

0.360

 Soft drink intake (Reference: < 3 bottles/week)

1.11 (0.80–1.54)

0.525

Unhealthy behavior, number (Reference: zero)

 1–2

1.30 (0.92–1.83)

0.145

 3–5

1.26 (0.87–1.84)

0.224

 ≥ 6

8.74 (2.18–34.99)

0.002

Obesity

5.42 (4.18–7.03)

 < 0.001

  1. aSingle includes unmarried, divorced, and widowed status. POR: denotes prevalence odds ratio. Simple logistic regression models were applied