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