Table 4 The results of subgroup analysis stratified by lifestyle factors.
From: Association between lifestyle factors and the risk of metabolic syndrome in the South Korea
Variables | Metabolic syndrome components | |||
|---|---|---|---|---|
Male | Female | |||
OR | 95% CI | OR | 95% CI | |
Sedentary time | ||||
Q1 | 1.00 | 1.00 | ||
Q2 | 1.22 | (0.91–1.63) | 1.44 | (1.03–2.01) |
Q3 | 1.44 | (1.10–1.89) | 1.82 | (1.32–2.52) |
Q4 | 1.63 | (1.21–2.19) | 1.85 | (1.31–2.62) |
Alcohol use disorder | ||||
Audit < 3 | 1.00 | 1.00 | ||
3 ≤ Audit < 8 | 1.29 | (1.00–1.67) | 0.74 | (0.54–1.00) |
Audit ≥ 8 | 1.66 | (1.30–2.13) | 1.20 | (0.76–1.88) |
Smoking | ||||
Nonsmoker | 1.00 | 1.00 | ||
Ex-smoker | 1.02 | (0.78–1.31) | 0.91 | (0.56–1.47) |
Smoker | 1.14 | (0.87–1.49) | 0.95 | (0.56–1.61) |
Diet intake | ||||
Normal | 1.00 | 1.00 | ||
Over carbohydrate | 0.97 | (0.78–1.21) | 1.24 | (0.97–1.58) |
Over fat | 0.94 | (0.70–1.25) | 1.14 | (0.78–1.67) |
Sleep duration | ||||
Less | 0.85 | (0.63–1.15) | 0.80 | (0.59–1.09) |
Normal | 1.00 | 1.00 | ||
Over | 0.96 | (0.61–1.53) | 0.71 | (0.43–1.17) |
