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A Life Course Approach to Healthy Ageing$
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Diana Kuh, Rachel Cooper, Rebecca Hardy, Marcus Richards, and Yoav Ben-Shlomo

Print publication date: 2013

Print ISBN-13: 9780199656516

Published to Oxford Scholarship Online: January 2014

DOI: 10.1093/acprof:oso/9780199656516.001.0001

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Modelling repeat exposures: some examples from life course epidemiology

Modelling repeat exposures: some examples from life course epidemiology

Chapter:
(p.91) Chapter 7 Modelling repeat exposures: some examples from life course epidemiology
Source:
A Life Course Approach to Healthy Ageing
Author(s):

Andrew Wills

Kate Tilling

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199656516.003.0007

Repeat measures of the same exposure over time offer a unique opportunity to study the role of developmental trajectories and age-related patterns of function on aspects of health and wellbeing in later life. This chapter illustrates and discusses the interpretation of commonly used methods for relating repeat measures of an exposure to a single later outcome, using an example analysis of life course body mass index and later adult systolic blood pressure. It describes simple multivariable regression models, including the life course plot and conditional change models, relating the outcome to the observed exposures. It then considers growth trajectory approaches where first, a multilevel model or latent class analysis is used to model the repeat exposure data and second, aspects of this model are used as explanatory variables in a regression model with the outcome. These steps can be carried out separately, or as part of one multivariate or structural equation model.

Keywords:   multivariable regression, life course plot, conditional change, path analysis, multilevel models, latent class models, growth trajectory

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