The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
87
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, July 31, 2011 : 4:00 PM to 5:50 PM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #302740 |
Title:
|
Joint Multivariate Response Modeling for Repeated BMI Measures and Single Measures of Adult Cardiovascular Disease Risk Factors
|
Author(s):
|
Leah Li*+
|
Companies:
|
University College London
|
Address:
|
Institute of Child Health, London, International, WC1N 1EH, UK
|
Keywords:
|
BMI trajectories ;
CVD risk factors ;
joint multivariate modeling ;
life-course ;
cohort study ;
Covariance matrix
|
Abstract:
|
Studies of the association between developmental trajectories and adult health require methods relating developmental measures from different ages to single measures of health outcomes. We present a joint multivariate response model to a longitudinal response variable BMI and adult SBP and HDL-C. 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 assuming the joint distribution of random coefficients. We use the 1958 British Birth Cohort(17,000), whose BMI was recorded at six ages and SBP and HDL-C were measured at 45y. Results show that rate of BMI gain in adulthood has a stronger association with SBP and HDL-C than rate of BMI growth in childhood. For SBP, the estimated correlation for 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 rate of childhood growth. Similar patterns are found for HDL-C, but in the opposite direction. Joint multivariate response modeling has important applications in life-course epidemiology.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.