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Table 4 Prediction model for GDM constructed in the trial cohort

From: An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

Model

ORa

P

aORb

β

Wals

P

GRS

1.855 (1.287–2.674)

0.001

2.061 (1.382–3.073)

0.723

12.598

< 0.001

Maternal age

1.150 (1.107–1.194)

< 0.001

1.133 (1.082–1.187)

0.125

27.879

< 0.001

Gravidity

1.364 (1.194–1.559)

< 0.001

1.089 (0.896–1.323)

0.085

0.734

0.392

Parity

1.712 (1.291–2.270)

< 0.001

0.957 (0.629–1.457)

− 0.044

0.042

0.838

Pre-pregnancy BMI

1.198 (1.131–1.269)

< 0.001

1.167 (1.100–1.239)

0.155

25.936

< 0.001

Family history of diabetes

4.520 (1.829–11.165)

0.001

4.133 (1.613–10.585)

1.419

8.743

0.003

Way of conception

1.596 (0.930–2.740)

0.090

1.140 (0.619–2.098)

0.131

0.176

0.675

  1. aUnivariate logistic regression in the trial cohort
  2. bThe prediction model was constructed by multivariate logistic regression