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Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease.

TitleWithin-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease.
Publication TypeJournal Article
Year of Publication2013
AuthorsWormser D, White IR, Thompson SG
Secondary AuthorsWood AM
JournalInt J Epidemiol
Volume42
Issue3
Pagination849-59
Date Published2013 Jun
ISSN1464-3685
KeywordsAdiposity, Bias, Body Mass Index, Coronary Disease, Epidemiologic Studies, Female, Humans, Male, Middle Aged, Obesity, Risk Factors, Waist Circumference
Abstract

BACKGROUND: Within-person variability in measured values of a risk factor can bias its association with disease. We investigated the extent of regression dilution bias in calculated variables and its implications for comparing the aetiological associations of risk factors.

METHODS: Using a numerical illustration and repeats from 42,300 individuals (12 cohorts), we estimated regression dilution ratios (RDRs) in calculated risk factors [body-mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] and in their components (height, weight, waist circumference, and hip circumference), assuming the long-term average exposure to be of interest. Error-corrected hazard ratios (HRs) for risk of coronary heart disease (CHD) were compared across adiposity measures per standard-deviation (SD) change in: (i) baseline and (ii) error-corrected levels.

RESULTS: RDRs in calculated risk factors depend strongly on the RDRs, correlation, and comparative distributions of the components of these risk factors. For measures of adiposity, the RDR was lower for WHR [RDR: 0.72 (95% confidence interval 0.65-0.80)] than for either of its components [waist circumference: 0.87 (0.85-0.90); hip circumference: 0.90 (0.86-0.93) or for BMI: 0.96 (0.93-0.98) and WHtR: 0.87 (0.85-0.90)], predominantly because of the stronger correlation and more similar distributions observed between waist circumference and hip circumference than between height and weight or between waist circumference and height. Error-corrected HRs for BMI, waist circumference, WHR, and WHtR, were respectively 1.24, 1.30, 1.44, and 1.32 per SD change in baseline levels of these variables, and 1.24, 1.27, 1.35, and 1.30 per SD change in error-corrected levels.

CONCLUSIONS: The extent of within-person variability relative to between-person variability in calculated risk factors can be considerably larger (or smaller) than in its components. Aetiological associations of risk factors should be compared through the use of error-corrected HRs per SD change in error-corrected levels of these risk factors.

DOI10.1093/ije/dyt077
Alternate JournalInt J Epidemiol
PubMed ID23918853
PubMed Central IDPMC3733701
Grant ListRG/08/014/24067 / / British Heart Foundation / United Kingdom
MR/L003120/1 / / Medical Research Council / United Kingdom
RG/08/014 / / British Heart Foundation / United Kingdom
G0700463 / / Medical Research Council / United Kingdom
MC_U105260558 / / Medical Research Council / United Kingdom