Skip to main content

Table 1 Comparing independent demographic and genetic predictors of MetS in the healthy and unhealthy groups

From: Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study

Variables Unhealthy (MetS) (%) Healthy (No MetS) (%) P value
Group size (%) 2365(50.6) 2309(49.4)  
Age (mean ± SD) 40.53 ± 12.93 33.04 ± 12.47  < 0.001a
Schooling years (mean ± SD) 9.19 ± 4.34 10.41 ± 4.63  < 0.001a
BMI (mean ± SD) 27.08 ± 4.09 23.8 ± 3.95  < 0.001a
Physical activity (mean ± SD) 575.16 ± 923.29 452.48 ± 808.96  < 0.001a
Sex (%)    
 Male 1249(52.81) 867 (37.55)  < 0.001b
 Female 1116 (47.19) 1442 (62.45)  
Smoking status (%)
 Never 1213(51.29) 1323(55.94)  < 0.001b
 Former smoker 146(6.17) 73(3.09)
 Current smoker 336 (14.21) 259 (1095)
 Second hand smoker 670 (28.33) 654 (27.65)
Marital status (%)
 Divorced 24 (1.01) 19 (0.80)  < 0.001b
 Married 1967 (83.17) 1612 (68.16)
 Single 312(13.19) 652(27.57)
 Widowed 62(2.62) 26 (1.10)
rs1260326 (%)
 CC 662(27.99) 734 (31.04)  < 0.01b
 TC 1156(48.88) 1090 (46.09)
 TT 547(23.13) 485 (20.51)
rs780094 (%)
 CC 675 (28.54) 752 (31.80)  < 0.01b
 TC 1156 (48.88) 1079 (45.62)
 TT 534 (22.58) 478 (20.21)
rs780093 (%)
 CC 668(28.25) 735(31.08)  < 0.01b
 TC 1143(48.33) 1107(46.81)
 TT 554(23.42) 476(20.13)
  1. MetS Metabolic Syndrome, BMI Body Mass Index, SD Standard Deviation; significant difference were observed in SNP information of GCKR genotypes and independent variables between healthy and unhealthy participants
  2. aStudent's-t test
  3. bchi-square test