Table 1 The characteristics of study participants with and without prediabetes
From: Association between dietary patterns and prediabetes risk in a middle-aged Chinese population
Variables | Participants with prediabetes (n = 305) | Participants without prediabetes(n = 1456) | Significance* |
|---|---|---|---|
Demographic | |||
 Age (years) | 50.67 ± 4.52 | 52.82 ± 5.76 | P < 0.001 |
Gender | |||
 Male | 173 (56.7) | 741 (50.9) | χ2 = 3.432 |
 Female | 132 (43.3) | 715 (49.1) | P = 0.064 |
Smoking status (%) | |||
 Never | 220 (72.1) | 1153 (79.2) | χ2 = 9.060 |
 Former | 9 (3.0) | 48 (3.3) | P < 0.05 |
 Current | 76 (24.9) | 255 (17.5) |  |
Education (%) |  |  | χ2 = 113.3 |
 Primary school or below | 22 (7.2) | 260 (17.9) | P < 0.001 |
 Middle and high school | 226 (74.1) | 1145 (78.6) | |
 Junior college or above | 57 (18.9) | 51 (3.5) |  |
Monthly income per person(%) | |||
 ≤2500 (RMB) | 31 (10.2) | 652 (44.8) | χ2 = 127.3 |
 2500–4000 (RMB) | 219 (71.8) | 642 (44.1) | P < 0.001 |
 > 4000 (RMB) | 55 (18.0) | 162 (11.1) |  |
Obesity (%) |  |  | χ2 = 7.484 |
 Yes | 36 (11.8) | 104 (7.1) | P < 0.01 |
 No | 269 (88.2) | 1352 (92.9) |  |
Hypertension(%) |  |  | χ2 = 0.877 |
 Yes | 83 (27.2) | 359 (24.7) | P = 0.349 |
 No | 222 (72.8) | 1097 (75.3) |  |