Circulating acyl-CoA-binding protein/diazepam-binding inhibitor in gestational diabetes mellitus

Table 2 Univariate correlations and multivariate regression analysis of the study population during pregnancy

	Univariate correlation analyses		Multivariate linear regression analysis
	r	p	β	p
Age (years)	-0.054	0.516	-0.073	n.s.
GDM status			0.029	n.s.
Gestational age at blood sampling (days)	-0.089	0.284
Gestational age at delivery (days)	-0.062	0.473
Infant birth weight (g)	0.005	0.950
BMI (kg/m²)	0.126	0.132
SBP (mmHg)	0.165	0.051
DBP (mmHg)	0.048	0.573
HbA1c (%)	0.020	0.816
HbA1c (mmol/mol)	0.020	0.816
Glucose 0 h_(OGTT) (mmol/l)	-0.025	0.763
Glucose 1 h_(OGTT) (mmol/l)	0.031	0.716
Glucose 2 h_(OGTT) (mmol/l)	-0.028	0.744
FI (pmol/l)	0.172	0.037*
HOMA2-IR	0.177	0.031*	0.127	n.s.
HOMA2-B	0.164	0.047*
Cholesterol (mmol/l)	0.087	0.296
HDL cholesterol (mmol/l)	-0.029	0.727
LDL cholesterol (mmol/l)	0.030	0.719
TG (mmol/l)	0.029	0.729
FFA (mmol/l)	0.224	0.006*	0.165	n.s.
Creatinine (µmol/l)	0.063	0.445
hsCRP (mg/l)	0.047	0.572

Univariate correlation analyses and multivariate linear regression analysis of ACBP with various parameters in the study population during pregnancy. Non-parametric Spearman’s rank correlation method was used to assess univariate relationships between ACBP and indicated markers. Multivariate regression analysis was calculated for ACBP (lg, dependent variable) and adjusted for age (lg), GDM status, HOMA2-IR (lg), and FFA (lg), but the model did not reach overall significance. Therefore, single p values for these metabolic markers are not given (n.s. = not significant). r- and p-values, as well as standardized β-coefficients, are given. Abbreviations are indicated in Table 1.

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