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©The Author(s) 2022.
World J Clin Cases. Nov 16, 2022; 10(32): 11789-11803
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11789
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11789
Table 3 Risk scores of risk factors for prediabetes
Predictor | Categories | Reference value | Base reference | Estimates of beta coefficients | P value | Points |
Intercept | -6.1358 | < 0.0001 | ||||
Age | 20-29 | 24.5 | 24.5 | 0.0274 | < 0.0001 | 0 |
30-39 | 34.5 | 24.5 | 0.0274 | < 0.0001 | 2 | |
40-49 | 44.5 | 24.5 | 0.0274 | < 0.0001 | 4 | |
50-59 | 54.5 | 24.5 | 0.0274 | < 0.0001 | 6 | |
60-69 | 64.5 | 24.5 | 0.0274 | < 0.0001 | 8 | |
70-79 | 74.5 | 24.5 | 0.0274 | < 0.0001 | 10 | |
80-100 | 90 | 24.5 | 0.0274 | < 0.0001 | 13 | |
Middle, college or higher education | 0 | 0 | 0 | -0.2032 | < 0.0001 | 0 |
1 | 1 | 0 | -0.2032 | < 0.0001 | -1 | |
DM family history | 0 | 0 | 0 | 0.3108 | < 0.0001 | 0 |
1 | 1 | 0 | 0.3108 | < 0.0001 | 2 | |
Waist circumference greater than normal limit1 | 0 | 0 | 0 | 0.1959 | < 0.0001 | 0 |
1 | 1 | 0 | 0.1959 | < 0.0001 | 1 | |
BMI | < 18.5 | 17.8 | 21.2 | 0.0761 | < 0.0001 | -2 |
18.5-23.9 | 21.2 | 21.2 | 0.0761 | < 0.0001 | 0 | |
24.0-27.9 | 25.95 | 21.2 | 0.0761 | < 0.0001 | 3 | |
≥ 28 | 30.9 | 21.2 | 0.0761 | < 0.0001 | 5 | |
SBP | < 120 | 105 | 125 | 0.0117 | < 0.0001 | -2 |
120-129 | 125 | 125 | 0.0117 | < 0.0001 | 0 | |
130-139 | 135 | 125 | 0.0117 | < 0.0001 | 1 | |
140-159 | 150 | 125 | 0.0117 | < 0.0001 | 2 | |
≥ 160 | 169 | 125 | 0.0117 | < 0.0001 | 4 |
- Citation: Yu LP, Dong F, Li YZ, Yang WY, Wu SN, Shan ZY, Teng WP, Zhang B. Development and validation of a risk assessment model for prediabetes in China national diabetes survey. World J Clin Cases 2022; 10(32): 11789-11803
- URL: https://www.wjgnet.com/2307-8960/full/v10/i32/11789.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i32.11789