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Child-to-Adult BMI Trajectories and Cardiovascular Disease Risk Factors in Mid-Life: A Joint Multivariate Modelling Approach

Li, Leah; (2011) Child-to-Adult BMI Trajectories and Cardiovascular Disease Risk Factors in Mid-Life: A Joint Multivariate Modelling Approach. In: JSM Proceedings, Statistics in Epidemiology Section. (pp. pp. 4525-4538). American Statistical Association: Miami Beach, Florida, US. Green open access

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Abstract

Abstract Studies of the association between developmental trajectories and adult health require methods relating developmental measures from different life stages to single measures of health outcomes. We present a joint multivariate response model to a longitudinal response variable, body mass index (BMI), and two single measure adult outcomes - systolic blood pressure (SBP) and high density lipoprotein cholesterol (HDL-C), to investigate the association between BMI trajectories and adult cardiovascular disease (CVD) risk factors. We adopt a linear spline model for repeated BMI measures to allow for distinct childhood and adult curves and separate models for SBP and HDL-C. The models are fitted simultaneously by assuming the joint distribution of random coefficients. The model is applied to the 1958 British Birth Cohort (n=17,000), whose BMI was recorded at six ages from 7 to 45y (16,820 with one or more measures) and SBP and HDL-C were measured at 45y. Results show that the rate of BMI gain in adulthood has a stronger association with SBP and HDL-C than the rate of BMI growth in childhood (p<0.05 for SBP in boys and for HDL-C in both genders). For SBP, the estimated correlation for the rate of adult BMI gain is 0.27 (95% CI: 0.23, 0.32) in males and 0.35 (0.31, 0.38) in females, compared to 0.22 (0.16, 0.27) and 0.18 (0.11, 0.25) respectively for the rate of childhood growth. For HDL-C the correlation is -0.43 (-0.48, - 0.38) and -0.45 (-0.48, -0.41) for adult BMI gain compared to -0.14 (-0.17, -0.10) and - 0.26 (-0.30, -0.22) for childhood growth. Furthermore, the rate of childhood growth is associated with adult outcomes, independent of adult BMI gain.// Conclusions: Joint multivariate response modeling is a useful approach for estimating the association between repeated exposure variables at different life stages and adult outcomes, therefore has important applications in the life-course epidemiology.

Type: Proceedings paper
Title: Child-to-Adult BMI Trajectories and Cardiovascular Disease Risk Factors in Mid-Life: A Joint Multivariate Modelling Approach
Event: Joint Statistical Meetings 2011
Location: Miami, Florida
Open access status: An open access version is available from UCL Discovery
Publisher version: https://ww2.amstat.org/meetings/jsm/2011/onlinepro...
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: BMI trajectories ; CVD risk factors ; joint multivariate modeling ; life-course ; cohort study ; Covariance matrix
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10174706
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