title: Modelling adolescent blood pressure patterns and their prediction of adult pressures.
abstract: Tracking of blood pressure in adolescent boys is investigated using a mathematical model that corresponds to progression along a constant percentile. A more general analysis, based on the method of principal components, is also proposed that determines various alternative tracks or patterns that are most prevalent in the longitudinal blood pressure data. The degree of tracking along a constant percentile curve for systolic pressure was moderately high, as evidenced by a tracking index of .78 explaining 81% of the variance, but less strong for diastolic (tracking index of .60) where tracking along a percentile explained 66% of the variance. The value of the more general analysis of blood pressure patterns may lie in the assessment of adolescent risk factors for elevated adult blood pressure. Using adolescent patterns determined by either statistical model, adult systolic at age 38 was predicted (R2 = .22) by the concept of a systolic fixed percentile curve in adolescence, and similarly for diastolic (R2 = .21). However, the more general analysis based on longitudinal principal components further suggests that boys who have a larger than usual systolic peak at age 14 years, which is near the time of the adolescent physical growth spurt in these boys, may be more likely to have higher systolic pressures at age 38. Because the adult data were incomplete and highly unbalanced, these findings were obtained using random-effects models for longitudinal data.
authors.affiliation: Harvard University, School of Dental Medicine, Boston, Massachusetts 02115.
authors.forename: C S
authors.initials: CS
authors.lastname: Berkey
authors.forename: N M
authors.initials: NM
authors.lastname: Laird
authors.forename: I
authors.initials: I
authors.lastname: Valadian
authors.forename: J
authors.initials: J
authors.lastname: Gardner
mesh_terms: D000293:Adolescent / Q000502:physiology*; D000328:Adult; D001794:Blood Pressure; D002648:Child; D003971:Diastole; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D008137:Longitudinal Studies; D008297:Male; D008433:Mathematics; D015233:Models, Statistical; D011247:Pregnancy; D011379:Prognosis; D012727:Sex Characteristics; D013599:Systole