Table 3 The OR of feature’s abnormality to MetS by age groups in male.
From: Machine learning-aided risk prediction for metabolic syndrome based on 3 years study
Features | Age 18–44 (95% CI) | Age 45–59 (95% CI) | Age \(\ge\) 60 (95% CI) |
|---|---|---|---|
TG (mmol/L) | 5.799 (5.375–6.257) | 3.498 (3.183–3.843) | 2.961 (2.426–3.613) |
WC (cm) | 4.367 (4.012–4.754) | 2.453 (2.209–2.724) | 2.263 (1.848–2.770) |
BMI (kg/m2) | 5.377 (4.802–6.021) | 3.576 (3.061–4.177) | 3.488 (2.473–4.920) |
HDL-C (mmol/L) | 2.890 (2.644–3.159) | 2.355 (2.067–2.684) | 2.478 (1.896–3.237) |
WHR (–) | 4.021 (3.733–4.331) | 2.352 (2.144–2.580) | 2.844 (2.440–3.408) |
FL (%) | 4.259 (3.943–4.601) | 3.234 (2.942–3.555) | 3.055 (2.551–3.660) |
SBP (mmHg) | 1.947 (1.796–2.111) | 1.656 (1.504–1.824) | 1.546 (1.312–1.823) |
FGLU (mmol/L) | 3.527 (2.840–4.381) | 2.762 (2.373–3.216) | 2.146 (1.719–2.680) |
DBP (mmHg) | 3.169 (2.774–3.620) | 2.024 (1.778–2.305) | 1.686 (1.339–2.122) |
BP (%) | 2.017 (1.865–2.181) | 1.666 (1.517–1.830) | 1.578 (1.337–1.861) |
