Research Article
Use of CHAID Decision Trees to Formulate Pathways for the Early Detection of Metabolic Syndrome in Young Adults
Table 1
Subject demographics and descriptive statistics.
| | Parameter | Mean ± standard deviation (n = 745) |
| | Age (yr) | 29.3 ± 5.8 | | Weight (kg) | 82.7 ± 21.3 | | Height (cm) | 168.2 ± 9.9 | | Body mass index (kg/m2) | 29.2 ± 6.8 | | Systolic blood pressure (mmHg) | 113.8 ± 11.7 | | Diastolic blood pressure (mmHg) | 66.7 ± 11.8 | | Waist circumference (cm) | 96.8 ± 15.8 | | HDL (mg/dl) | 51.30 ± 14.9 | | Triglyceride (mg/dl) | 126.7 ± 114.3 | | Fasting plasma glucose (mg/dl) | 98.0 ± 24.6 |
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Values are mean ± standard deviation. HDL: high-density lipoprotein cholesterol (n = 745; male = 335, female = 410).
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