Table 2.

Logistic regression analysis of the candidate predictors for macrosomia.

Candidate predictors	Univariate analysis			Multivariate analysis (Model 1)			Multivariate analysis (Model 2)
	OR	95%CI	P-value	OR	95%CI	P-value	OR	95%CI	P-value
Prepregnancy obesity	4.09	2.75-6.08	<0.01	2.73	1.71-4.33	<0.01	2.54	1.51-4.27	<0.01
GDM	4.90	3.21-7.46	<0.01	2.40	1.30-4.42	0.01	2.95	1.49-6.03	<0.01
Hypertriglyceridemia	3.51	2.36-5.22	<0.01	3.04	1.89-4.89	<0.01	3.61	2.14-6.16	<0.01
Fetal abdominal circumference	1.46	1.31-1.62	<0.01	1.30	1.13-1.51	<0.01	1.21	1.02-1.43	0.03
Added weight	1.15	1.06-1.24	<0.01	1.04	0.94-1.14	0.50
OGTT 2hPG	0.80	0.66-0.96	0.02	0.82	0.67-1.00	0.06
Age	1.04	0.99-1.08	0.08	1.03	0.98-1.00	0.20
Gestational weeks	1.20	1.02-1.40	0.02	1.12	0.93-1.36	0.24
Fetal biparietal diameter	0.77	0.45-1.30	0.32	0.82	0.45-1.50	0.52
OGTT 1hPG	1.49	1.49-1.72	<0.01
FBG	2.29	1.71-3.08	<0.01
HDL-C	1.06	0.78-1.45	0.71
LDL-C	0.89	0.66-1.19	0.42
Serum uric acid	1.00	0.99-1.00	0.32
Serum creatinine	1.00	0.98-1.01	0.99
Uterine height	1.03	0.95-1.12	0.47
Prepregnancy BMI	0.97	0.93-1.01	0.11
Hypercholesteremia	0.96	0.64-1.45	0.86
Maternal abdominal circumference	1.03	1.00-1.06	0.04

OR, odds radio; CI, confidence interval. GDM, gestational diabetes mellitus; FBG, fasting blood glucose; OGTT 1hPG, oral glucose tolerance test 1-h postprandial blood glucose. OGTT 2hPG, oral glucose tolerance test 2-h postprandial blood glucose. HDL-C, high-density lipoprotein cholesterol. LDL-C, low-density lipoprotein cholesterol. Model 1: Multivariate logistic regression with penalty was lambda. min based on LASSO and ten-fold validation test. Model 2: Multivariate logistic regression with penalty was lambda.1se based on LASSO and ten-fold validation test.