Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire
Table 2
Characteristics of the participants in each glycometabolic category.
Category 1
Category 2
Category 3
Category 4
448
206
133
190
Sex (% women)
53.1
56.3
40.6
44.2
Age (years)
42.3 (41.2–43.4)
43.8 (42.3–45.3)
46.7 (44.7–48.6)
48.9 (47.4–50.4)
Height (m)
164.8 (164.1–165.6)
164.8 (163.6–166.0)
165.6 (164.2–166.9)
166.0 (164.9–167.1)
BMI (kg/m2)
21.4 (21.1–21.6)
23.5 (23.1–24.0)
21.6 (21.2–22.0)
23.4 (22.9–23.8)
30 mPG (mg/dL)
129.5 (127.9–131.1)
139.5 (137.7–141.2)
171.9 (169.7–174.2)
178.1 (175.5–180.8)
120 mPG (mg/dL)
94.4 (92.9–96.0)
127.6 (124.4–130.8)
99.3 (96.3–102.3)
134.6 (130.5–138.6)
Matsuda index
9.8 (9.4–10.2)
5.8 (5.4–6.3)
7.7 (7.3–8.1)
5.0 (4.6–5.4)
Data are presented as mean (95% confidence interval), percentage, or number of individuals. vs. category 1. Abbreviations: BMI: body mass index; x mPG: x-min postload plasma glucose level during the OGTT.
