Research Article
Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study
Table 5
Algorithm for estimating risk of T2DM using part of the components of MetS (stepwise model).
(a) Prediction model for man |
| Item | Item score | (1) Age ≥ 50 years | 44 | (2) Hypertension | 8 | (3) 2-hour postprandial plasma glucose (2hPG) ≥ 7.8 mmol/L | 37 | (4) Fasting plasma glucose level ≥ 6.1 mmol/L | 30 | (5) Triglyceride ≥ 1.7 mmol/L | 30 |
| Total item score | 3-year risk of T2DM | 0~65 | <10% | 66~92 | 10%~20% | 93~108 | 20%~30% | 109~122 | 30%~40% | 123~135 | 40%~50% | 136~141 | 50%~60% | >141 | >60% |
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(b) Prediction model for woman |
| Item | Item score | (1) Age ≥ 55 years | 57 | (2) Fasting plasma glucose level ≥ 6.1 mmol/L. | 14 | (3) 2-hour postprandial plasma glucose (2hPG) ≥ 7.8 mmol/L | 21 | (4) Triglyceride ≥ 1.7 mmol/L | 19 |
| Total item score | 3-year risk of T2DM | 0~67 | <10% | 68~80 | 10%~20% | 81~90 | 20%~30% | 91~97 | 30%~40% | 98~105 | 40%~50% | >105 | >50% |
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