Table 3.

Binary logistic regression on the effect of prematurity on diastolic blood pressure

Model	Parameter	β	Std. Error	p-value	Exp (B)	95% Confidence Interval
Model A	Diastolic blood pressure	-0.03	0.012	0.013	0.97	0.947 – 0.994
Model B	Diastolic blood pressure	-0.031	0.012	0.01	0.969	0.946 – 0.993
	Sex	-0.211	0.192	0.272	0.81	0.557 – 1.179
	Age	0.128	0.088	0.145	1.136	0.957 – 1.349
Model C	Diastolic blood pressure	-0.034	0.013	0.007	0.966	0.943 – 0.991
	Sex	-0.293	0.203	0.148	0.746	0.501 – 1.11
	Age	0.122	0.092	0.182	1.13	0.944 – 1.352
	BMI	0.038	0.029	0.197	1.038	0.981 – 1.1
	Smoking	-0.172	0.225	0.446	0.842	0.542 – 1.309
	Physical activity	0.001	0.003	0.648	1.001	0.996 – 1.006
	Diet	-0.08	0.09	0.372	0.923	0.774 – 1.1
Model D	Diastolic blood pressure	-0.034	0.013	0.007	0.966	0.943 – 0.991
	Sex	-0.298	0.203	0.141	0.742	0.499 – 1.104
	Age	0.125	0.092	0.174	1.133	0.946 – 1.356
	BMI	0.04	0.029	0.178	1.04	0.982 – 1.102
	Smoking	-0.17	0.225	0.449	0.843	0.543 – 1.311
	Physical activity	0.001	0.003	0.631	1.001	0.996 – 1.006
	Diet	-0.08	0.09	0.374	0.923	0.775 – 1.101
	SGA	-0.264	0.346	0.444	0.768	0.39 – 1.511
Model E	Diastolic blood pressure	-0.039	0.013	0.003	0.961	0.937 – 0.987
	Sex	-0.252	0.229	0.272	0.777	0.496 – 1.218
	Age	0.057	0.093	0.538	1.059	0.883 – 1.271
	BMI	0.051	0.031	0.101	1.052	0.99 – 1.118
	Smoking	-0.191	0.234	0.413	0.826	0.523 – 1.306
	Physical activity	0.001	0.003	0.717	1.001	0.996 – 1.006
	Diet	-0.107	0.093	0.248	0.898	0.748 – 1.078
	SGA	-0.243	0.364	0.505	0.784	0.384 – 1.602
	Fasting blood Glucose	-0.002	0.011	0.864	0.998	0.977 – 1.02
	Total cholesterol	0.004	0.004	0.295	1.004	0.997 – 1.011

p-values are derived from multivariate binary logistic regression with the dependent variable being born term or preterm, β Regression Coefficient B, BMI Body Mass Index, Exp (B) Odds Ratio, SGA Small for gestational age, Std. Error Standard Error