OBJECTIVES: To investigate the tracking of systolic arterial blood pressure (SBP) during childhood. DESIGN AND SETTING: All children born during 1981-82 in a rural community of eastern Finland were followed at the ages of 6 months, 7 and 15 years (SBP-6m, SBP-7y, SBP-15y). One hundred and thirty-eight out of 205 children completed the full follow-up period, of which 100 (45 girls) were included in the analysis with complete data. MAIN OUTCOME MEASURES: SBP (mmHg). RESULTS: SBP-6m was associated with SBP-7y (r = 0.715; P < 0.001) and with SBP-15y (r = 0.238; P = 0.017) and SBP-7y was associated with SBP-15y (r = 0.348; P < 0.001). Adjustment for confounders did not change these results. Children at the highest tertile of SBP-6m had a higher probability of being at the highest tertile of SBP-7y [relative risk (RR) = 4.3; 95% confidence interval (CI), (2.4-7.6)] and SBP-15y [RR = 1.9; 95% CI, (1.1-3.3)]. Children at the highest tertile of SBP-7y had a higher probability of being at the highest tertile of SBP-15y [RR = 2.6 (1.5-4.6)]. The regression analysis showed a significant main effect on SBP-15y for birth weight (negative association), male gender, current body mass index (BMI), change of BMI between the ages of 7 years and 15 years, SBP-6m, SBP-7y and the mean SBP between the ages of 6 months and 7 years (all with positive association). Children with family history of hypertension appear to have a higher SBP during childhood; however, this association did not reach a significant level. CONCLUSIONS: The study confirmed the tracking of SBP during childhood. Birth weight was inversely associated with SBP-15y. Family history of hypertension was not significantly associated with SBP during childhood.
OBJECTIVES: To investigate the tracking of systolic arterial blood pressure (SBP) during childhood. DESIGN AND SETTING: All children born during 1981-82 in a rural community of eastern Finland were followed at the ages of 6 months, 7 and 15 years (SBP-6m, SBP-7y, SBP-15y). One hundred and thirty-eight out of 205 children completed the full follow-up period, of which 100 (45 girls) were included in the analysis with complete data. MAIN OUTCOME MEASURES: SBP (mmHg). RESULTS: SBP-6m was associated with SBP-7y (r = 0.715; P < 0.001) and with SBP-15y (r = 0.238; P = 0.017) and SBP-7y was associated with SBP-15y (r = 0.348; P < 0.001). Adjustment for confounders did not change these results. Children at the highest tertile of SBP-6m had a higher probability of being at the highest tertile of SBP-7y [relative risk (RR) = 4.3; 95% confidence interval (CI), (2.4-7.6)] and SBP-15y [RR = 1.9; 95% CI, (1.1-3.3)]. Children at the highest tertile of SBP-7y had a higher probability of being at the highest tertile of SBP-15y [RR = 2.6 (1.5-4.6)]. The regression analysis showed a significant main effect on SBP-15y for birth weight (negative association), male gender, current body mass index (BMI), change of BMI between the ages of 7 years and 15 years, SBP-6m, SBP-7y and the mean SBP between the ages of 6 months and 7 years (all with positive association). Children with family history of hypertension appear to have a higher SBP during childhood; however, this association did not reach a significant level. CONCLUSIONS: The study confirmed the tracking of SBP during childhood. Birth weight was inversely associated with SBP-15y. Family history of hypertension was not significantly associated with SBP during childhood.
Authors: Russell Jago; Joanne S Harrell; Robert G McMurray; Sharon Edelstein; Laure El Ghormli; Stanley Bassin Journal: Pediatrics Date: 2006-06 Impact factor: 7.124
Authors: Mandy B Belfort; Camilia R Martin; Vincent C Smith; Matthew W Gillman; Marie C McCormick Journal: Pediatrics Date: 2010-05-17 Impact factor: 7.124
Authors: Shaoyong Su; Xiaoling Wang; Jennifer S Pollock; Frank A Treiber; Xiaojing Xu; Harold Snieder; W Vaughn McCall; Michael Stefanek; Gregory A Harshfield Journal: Circulation Date: 2015-04-09 Impact factor: 29.690
Authors: Susanna Y Huh; Sheryl L Rifas-Shiman; Ken P Kleinman; Janet W Rich-Edwards; Steven E Lipshultz; Matthew W Gillman Journal: Int J Epidemiol Date: 2004-12-02 Impact factor: 7.196
Authors: Matthew W Gillman; Sheryl L Rifas-Shiman; Ken P Kleinman; Janet W Rich-Edwards; Steven E Lipshultz Journal: Circulation Date: 2004-09-27 Impact factor: 29.690