Literature DB >> 1462967

Short-term intraindividual variability in lipoprotein measurements: the Atherosclerosis Risk in Communities (ARIC) Study.

L E Chambless1, R P McMahon, S A Brown, W Patsch, G Heiss, Y L Shen.   

Abstract

Much epidemiologic research is based on estimation of an association between a putative risk factor and a health outcome--for example, plasma concentration of lipoproteins and ischemic heart disease. Since the repeatability of a risk factor measurement determines, in part, the ability to ascertain its association in populations, the Atherosclerosis Risk in Communities (ARIC) Intraindividual Variability Study was conducted to estimate various components of variation in analyte data and to estimate the repeatability of these measurements. A total of 40 subjects (17 males and 23 females) from Forsyth County, North Carolina, Minneapolis, Minnesota, Jackson, Mississippi, and Washington County, Maryland, were studied in 1988. Fasting blood was collected three times from each subject, with a 1- to 2-week interval between each visit. The contributions of between-person variability, within-person variability, and processing and assay variability were estimated. From these components, the reliability coefficient, R, the correlation between measures made at repeat visits, was estimated. R was above 0.85 for total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglycerides, and lipoprotein(a). Low repeatability was obtained for apolipoprotein A-I (R = 0.60). High density lipoprotein subfractions 2 and 3 were intermediate in repeatability. Reliability coefficients from the ARIC Intraindividual Variability Study are generally higher than those found in other studies, and this is related to relative variability in populations studied, to the time between measurements, and to differences in laboratory variability. Only for apolipoprotein A-I would the findings strongly suggest the need to adjust for measurement variability in estimation using one of these analytes as an independent variable.

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Year:  1992        PMID: 1462967     DOI: 10.1093/oxfordjournals.aje.a116572

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  16 in total

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2.  Associations between lipoprotein(a) levels and cardiovascular outcomes in black and white subjects: the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Salim S Virani; Ariel Brautbar; Brian C Davis; Vijay Nambi; Ron C Hoogeveen; A Richey Sharrett; Josef Coresh; Thomas H Mosley; Joel D Morrisett; Diane J Catellier; Aaron R Folsom; Eric Boerwinkle; Christie M Ballantyne
Journal:  Circulation       Date:  2011-11-29       Impact factor: 29.690

3.  Associations between HDL-cholesterol and polymorphisms in hepatic lipase and lipoprotein lipase genes are modified by dietary fat intake in African American and White adults.

Authors:  Jennifer A Nettleton; Lyn M Steffen; Christie M Ballantyne; Eric Boerwinkle; Aaron R Folsom
Journal:  Atherosclerosis       Date:  2006-12-08       Impact factor: 5.162

4.  Analytical and biological variability in biomarker measurement in the Hispanic Community Health Study/Study of Latinos.

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5.  Low-density lipoprotein and high-density lipoprotein cholesterol levels in relation to genetic polymorphisms and menopausal status: the Atherosclerosis Risk in Communities (ARIC) Study.

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6.  HDL-cholesterol and incidence of breast cancer in the ARIC cohort study.

Authors:  Anna M Kucharska-Newton; Wayne D Rosamond; Pamela J Mink; Anthony J Alberg; Eyal Shahar; Aaron R Folsom
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8.  Medium-term variability of the human serum metabolome in the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Yan Zheng; Bing Yu; Danny Alexander; David J Couper; Eric Boerwinkle
Journal:  OMICS       Date:  2014-06

9.  Five minute recordings of heart rate variability for population studies: repeatability and age-sex characteristics.

Authors:  R Sinnreich; J D Kark; Y Friedlander; D Sapoznikov; M H Luria
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10.  Predictive value of serum apolipoprotein B/apolipoprotein A-I ratio in metabolic syndrome risk: a Chinese cohort study.

Authors:  Yu-Ching Chou; Jen-Chun Kuan; Chyi-Huey Bai; Tsan Yang; Wan-Yun Chou; Po-Chien Hsieh; San-Lin You; Lee-Ching Hwang; Chien-Hua Chen; Cheng-Yu Wei; Chien-An Sun
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