Table 3.
The correlation between MetS and its components with anthropometric indexes
| High BP | Dysglycemia | Low HDL-C | High TG | MetS | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Male | ||||||||||
| WHtR | 1.263# | 1.087–1.467 | 1.561* | 1.230–1.981 | 1.303# | 1.12–1.516 | 1.727* | 1.487–2.006 | 2.357* | 1.788–3.106 |
| BRI | 1.254# | 1.082–1.453 | 1.522* | 1.212–1.912 | 1.287# | 1.11–1.493 | 1.696* | 1.465–1.963 | 2.235* | 1.728–2.890 |
| WWI | 1.089^ | 0.94–1.262 | 1.309# | 1.046–1.639 | 1.226# | 1.056–1.422 | 1.523* | 1.319–1.759 | 1.738* | 1.362–2.217 |
| AVI | 1.205# | 1.046–1.388 | 1.441* | 1.162–1.788 | 1.331* | 1.153–1.535 | 1.585* | 1.38–1.82 | 2.45* | 1.898–3.163 |
| ABSI | 0.981^ | 0.851–1.130 | 1.164^ | 0.941–1.441 | 1.208# | 1.047–1.393 | 1.343* | 1.173–1.537 | 1.607* | 1.276–2.205 |
| Female | ||||||||||
| WHtR | 1.253# | 1.076–1.460 | 1.46# | 1.125–1.893 | 1.442* | 1.149–1.811 | 1.634* | 1.384–1.929 | 2.812* | 2.003–3.948 |
| BRI | 1.251# | 1.079–1.451 | 1.432# | 1.126–1.821 | 1.414# | 1.139–1.756 | 1.578* | 1.346–1.851 | 2.565* | 1.881–3.498 |
| WWI | 1.197# | 1.030–1.391 | 1.426# | 1.114–1.827 | 1.212^ | 0.973–1.509 | 1.462* | 1.249–1.713 | 2.171* | 1.62–2.91 |
| AVI | 1.213# | 1.056–1.393 | 1.392# | 1.115–1.737 | 1.49* | 1.22–1.819 | 1.472* | 1.269–1.707 | 2.768* | 2.052–3.733 |
| ABSI | 1.142^ | 0.991–1.315 | 1.362# | 1.077–1.723 | 1.156^ | 0.938–1.425 | 1.313* | 1.132–1.523 | 2.068* | 1.567–2.728 |
The bold indicates the highest value of odds ratio among the indices. The binary logistic regression analyses are adjusted for age, UA, and CRP
WtHR waist-to-height ratio, BRI body roundness index, WWI weight adjusted waist index, AVI abdominal volume index, ABSI a body shape index, BP blood pressure, TG triglyceride, HDL-C HDL cholesterol, MetS metabolic syndrome, OR odds ratio, 95% CI 95% confidence interval
*p < 0.001; #p < 0.05; ^p > 0.05