Predictors of child blood pressure among preeclampsia children
multiparity, adiposity, prematurity
REGRESSION, ADIPOSITY, REGRESSIONS, PREECLAMPSIA
Univariate regressions were performed to explore predictors of PE children's 24-h ambulatory SBP and PP (Tables 6 and 7, Supplemental Digital Content 1). Gestational time and prematurity, birth weight and SGA, parity (multiparity), maternal SBP at first antenatal visit, and highest SBP during gestation were all associated with ambulatory SBP. There was no association with maternal office SBP at follow-up. Child follow-up weight As maternal parity was associated with 24-h ambulatory BP and PP among PE children we explored differences in maternal pregnancy and perinatal characteristics data between primiparous PE and multiparous PE mothers (Table 10, Supplemental Digital Content 1). No differences were, however, found. We also found no associations between parity and 24-h ambulatory SBP and PP among non-PE children.Twenty-four-hour ambulatory SBP mean difference [2.9 mmHg (95% CI 0.4–5.3)] between PE and non-PE children remained significant when separately adjusting for child waist-hip ratio, BMI Twenty-four-hour PP mean difference [3.7 mmHg (95% CI 1.9–5.4)] between PE and non-PE children remained, however, significant when separately adjusting for maternal SBP at first antenatal visit, maternal parity, maternal prepregnancy BMI, prematurity, gestational age at delivery, child birth weight, and using different child anthropometrics and adiposity measures at follow-up (Table 8, Supplemental Digital Content 1).The combined effect of different predictors on child 24-h SBP was then assessed with multiple linear regression models (Table 9, Supplemental Digital Content 1) and ANCOVA analyses outlining mean differences between PE and non-PE (Table Adjusted mean differences for preeclamptic versus nonpreeclamptic childrenSignificant BMI, body mass index; CF-PWV, carotid-femoral pulse wave velocity; CI, confidence interval; PE, preeclampsia; PP, pulse pressure; SBP, systolic blood pressure.Similar multiple linear regression models (Table 9, Supplemental Digital Content 1) and ANCOVA models (Table 