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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)  
  1. Categorical variables are presented as sum and percentages, and continuous variables are presented as Mean ± SD
  2. Abbreviation: RMB Ren min bi
  3. *P values for continuous variables (Analysis of variance) and for Categorical variables (chi-square test)