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. 2019 Winter;10(1):16–24. doi: 10.22088/cjim.10.1.16

Table 4.

Regression models for estimating risk factors of developing GDM

Variables Beta RR 95% Confidence interval p-value
Regression model no. 1
20-24 wks
BMI 0.118 - - 0.089
Age 0.559 - - 0.345
BP2 3.733 - - 0.001
HbA1C1 4.167 - - <0.001
24-28 wks
BMI 0.184 - - 0.003
Age 0.60 - - 0.242
BP2 1.689 - - 0.019
HbA1C1 2.25 - - <0.001
Logistic regression no. 2
20-24 wks
BMI≥27 3.4 1.23-9.49 0.018
age≥25 1.7 0.54-5.62 0.34
BP2≥140/90 37.1 3.56-387.4 0.002
HbA1C1≥5.3% 56.6 6.95-462.3 0.001
24-28 wks
BMI≥27 5.92 2.3-15.26 0.001
age≥25 1.18 0.65-5.03 0.25
BP2≥140/90 4.75 1.08-20.82 0.039
HbA1C1≥5.3% 9.1 3.38-24.64 0.001

RR: relative risk; BMI: body mass index; BP: blood pressure: HbA1C: hemoglobin A1C

*

Two regression models have been introduced. The first represent independent variables as quantitative data and in the second model values have been redefined according to appropriate cut-off values obtained both in the study and from previous studies.

Numbers indicate time of measurements as followed: BP2 as BP measured during 20-24 weeks of gestation; HbA1C1 as measured during 20-24 weeks of gestation.