Table 1 Demographic characteristics of development set and validation set.

From: Combining genetic risk score with artificial neural network to predict the efficacy of folic acid therapy to hyperhomocysteinemia

Variables

Development set

Validation set

Sum up

χ2/t

P

(n = 447)

(n = 191)

(n = 638)

Age,(years, \({\overline{\text{X}}}\) ± S)

65.05 ± 14.88

66.22 ± 14.20

65.38 ± 14.69

1.08a

0.28

Sex, n(%)

 

0.098

0.755

  

Male

282 (63.09)

118 (61.78)

402 (63.01)

  

Female

165 (36.91)

73 (38.22)

236 (36.99)

  

BMI, (kg/m2)

23.99 ± 2.05

23.79 ± 2.13

23.93 ± 2.07

− 1.183a

0.237

Smoking, n (%)

152 (34.00)

69 (36.13)

217 (34.01)

0.266

0.606

Drinking, n (%)

63 (14.09)

31 (16.23)

96 (15.05)

0.486

0.486

History, n (%)

143 (31.99)

61 (31.94)

204 (31.97)

0

0.989

Diabetics, n (%)

112(25.06)

52 (27.23)

160(25.08)

0.33

0.566

Hypertension, n (%)

241 (53.91)

111 (58.12)

351 (55.02)

0.955

0.329

Hyperlipidemia, n (%)

9 (2.01)

4 (2.09)

13 (2.04)

0.004

0.947

Stroke, n (%)

143 (31.99)

55 (28.80)

198 (31.03)

0.638

0.424

CHD, n (%)

107 (23.94)

55 (28.80)

166 (26.02)

1.667

0.197

FPG, (mmol/L, \({\overline{\text{X}}}\) ± S)

5.48 ± 5.11

5.64 ± 2.14

5.52 ± 2.08

1.363a

0.173

TG, (mmol/L, \({\overline{\text{X}}}\) ± S)

1.63 ± 1.13

1.53 ± 1.07

1.58 ± 1.12

1.374a

0.17

TC, (mmol/L, \({\overline{\text{X}}}\) ± S)

4.34 ± 1.10

4.35 ± 0.89

4.34 ± 1.01

− 0.649a

0.516

LDL-C, (mmol/L, \({\overline{\text{X}}}\) ± S)

2.58 ± 0.80

2.51 ± 0.72

2.55 ± 0.75

− 1.027a

0.305

HDL-C, (mmol/L, \({\overline{\text{X}}}\) ± S)

1.10 ± 0.33

1.13 ± 0.28

1.12 ± 0.29

0.298a

0.766

Hcy, (μmol/L, \({\overline{\text{X}}}\) ± S)

22.25 ± 8.77

22.17 ± 7.59

22.18 ± 8.43

-0.040a

0.968

  1. BMI body mass index, CHD coronary heart disease, FPG fasting plasma glucose, TG triglycerides, TC total cholesterol, LDL-C low density lipoprotein cholesterol, HDL-C high density lipoprotein cholesterol, Hcy homocysteine.
  2. aStudent’s t test.