Investigation and study on the epidemiology of gestational diabetes mellitus in Guizhou

Table 5 Analysis of a binary logistic regression model of general data affecting gestational diabetes mellitus’ occurrence

Impact factors	B	Standard error	Wald	OR	95%CI	P value
HGB	0.137	0.006	598.921	1.147	1.134-1.159	< 0.001
PLT	0.010	0.001	71.200	1.010	0.998-1.012	0.051
AST	0.121	0.0035	68.145	1.042	1.035-1.268	< 0.001
ALT	0.021	0.003	59.191	1.979	1.874-1.984	< 0.001
TP	-0.266	0.015	316.813	0.930	0.867-0.947	< 0.001
ALB	-0.162	0.008	393.139	0.850	0.837-0.864	< 0.001
TBIL	0.635	1.012	43.623	0.916	0.072-3.678	0.609
DBIL	0.008	0.001	53.904	1.008	1.006-1.010	< 0.001
CRE	0.635	1.712	69.623	0.857	0.081-2.145	0.425
BUN	-0.008	0.004	4.159	0.992	0.985-1.000	0.141
Blood Type
Type A			146.589			< 0.001
Type B	0.331	0.181	3.336	1.392	0.976-1.987	0.068
Type AB	-2.103	0.191	121.663	0.122	0.084-0.177	< 0.001
Type O	-0.779	0.160	23.646	0.459	0.335-0.628	< 0.001

P < 0.05 indicates statistical. The Wald test was used to determine the significance of each variable. Binary logistic regression was used to analyze the impact factors for the occurrence of gestational diabetes mellitus. B: Regression coefficient; OR: Odds ratio; CI: Confidence interval; PLT: Platelet; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; TBIL: Total bilirubin; DBIL: Direct bilirubin; ALB: Albumin; CRE: Creatinine; BUN: Blood urea nitrogen; HGB: Hemoglobin; TP: Total protein.