Table 2.

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

Model	Parameter	β	Std. Error	p-value	Exp (B)	95% Confidence Interval
Model A	Systolic blood pressure	-0.018	0.008	0.028	0.982	0.967 – 0.998
Model B	Systolic blood pressure	-0.019	0.009	0.032	0.981	0.964 – 0.998
	Sex	-0.002	0.209	0.991	0.998	0.663 – 1.502
	Age	0.139	0.088	0.114	1.149	0.967 – 1.365
Model C	Systolic blood pressure	-0.025	0.009	0.009	0.975	0.957 – 0.994
	Sex	-0.048	0.22	0.828	0.953	0.619 – 1.468
	Age	0.134	0.092	0.145	1.143	0.955 – 1.369
	BMI	0.052	0.031	0.095	1.054	0.991 – 1.121
	Smoking	-0.17	0.225	0.451	0.844	0.543 – 1.312
	Physical activity	0.002	0.003	0.42	1.002	0.997 – 1.007
	Diet	-0.71	0.09	0.427	0.931	0.781 – 1.11
Model D	Systolic blood pressure	-0.025	0.009	0.009	0.976	0.958 – 0.994
	Sex	-0.053	0.22	0.81	0.949	0.616 – 1.461
	Age	0.136	0.092	0.14	1.145	0.957 – 1.372
	BMI	0.054	0.032	0.089	1.055	0.992 – 1.122
	Smoking	-0.168	0.225	0.455	0.845	0.544 – 1.313
	Physical activity	0.002	0.003	0.407	1.002	0.997 – 1.007
	Diet	-0.71	0.09	0.428	0.931	0.781 – 1.11
	SGA	-0.241	0.345	0.485	0.786	0.4 – 1.545
Model E	Systolic blood pressure	-0.028	0.01	0.004	0.972	0.953 – 0.991
	Sex	0.026	0.248	0.918	1.026	0.631 – 1.668
	Age	0.071	0.093	0.447	1.073	0.894 – 1.289
	BMI	0.68	0.033	0.041	1.071	1.003 – 1.143
	Smoking	-0.189	0.233	0.417	0.827	0.524 – 1.308
	Physical activity	0.002	0.003	0.462	1.002	0.997 – 1.007
	Diet	-0.1	0.093	0.282	0.905	0.754 – 1.086
	SGA	-0.222	0.363	0.541	0.801	0.393 – 1.632
	Fasting blood Glucose	-0.003	0.011	0.751	0.997	0.975 – 1.018
	Total cholesterol	0.003	0.004	0.399	1.003	0.996 – 1.01

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