October 25, 2004Statistics in Medicine
Using the area under the curve to reduce measurement error in predicting young adult blood pressure from childhood measures
Key result
Childhood blood pressure and young adult BMI were directly predictive of young adult blood pressure, with tracking correlations of approximately 0.6 for systolic and 0.4-0.6 for diastolic blood pressure.
Why the study?
Does using the area under the curve from longitudinal growth curve models improve the prediction of young adult blood pressure from childhood measures?
Population
Participants in the Bogalusa Heart Study with repeated measures in age periods 5-14 and 20-34 years
Design
Cohort
Follow-up
From age 5-14 years to 20-34 years
Authors
Discussion
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Member takes
Implication
AUC modeling may enhance childhood BP tracking prediction; leaves open clinical adoption pending prospective validation.
Study Design
Type
Cohort
Structured PICO
Does using the area under the curve from longitudinal growth curve models improve the prediction of young adult blood pressure from childhood measures?
P
Population
Participants in the Bogalusa Heart Study with repeated measures in age periods 5-14 and 20-34 years
E
Exposure
Area under the curve (AUC) computed from longitudinal growth curve models (quadratic random-effects models)
O
Outcome
Prediction of young adult blood pressure from childhood measures and tracking correlationssurrogate
Using the area under the curve from longitudinal growth curve models reduces measurement error and improves the prediction of young adult blood pressure from childhood measures.
Cite This Study
Cook et al. (2004) conducted a cohort in Blood pressure. Childhood blood pressure and BMI was evaluated on Young adult blood pressure. Childhood blood pressure and young adult BMI were directly predictive of young adult blood pressure, with tracking correlations of approximately 0.6 for systolic and 0.4-0.6 for diastolic blood pressure.