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Updated: Aug 18, 2026

Isolation and Analysis of Plasma Lipoproteins by Ultracentrifugation
Published on: January 28, 2021
Intra-individual variation of plasma lipids and lipoproteins in prepubescent children
K Tolfrey1, I G Campbell, A M Jones
1Department of Exercise and Sport Science, Manchester Metropolitan University, Alsager, Cheshire, UK.
Abstract:
Estimates of the average intra-individual biological variability for plasma lipids and lipoproteins differs substantially among published studies. Moreover, this topic does not appear to have received consideration in exercise and health literature with normal, healthy children as subjects. The purpose of this study was, therefore, to determine the short-term, day-to-day variability of the lipid-lipoprotein profile from 19 children [mean (SD), 11.5 (0.8) years] from 3 separate venous blood samples. Intra-individual standard deviations, variances and coefficients of variance were determined for total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein-cholesterol (HDL-C), HDL-C sub-fractions HDL2 and HDL3, and low-density lipoprotein-cholesterol (LDL-C). The intra-individual variation for TC and LDL-C was used to calculate the 95% confidence intervals (CIs) around the National Cholesterol Education Programme (NCEP 1991) cut-off points. The main finding was that all of the measured blood analytes including TC, TG, HDL-C, HDL2, HDL3, and LDL-C varied considerably from day-to-day. Coefficients of total variation ranged from 3.5% for HDL3 to 25.4% for TG. Classification of individuals using NCEP guidelines was difficult based on only one or two blood samples. The magnitude of variation for LDL-C meant that a 95% CI could not be constructed around the NCEP borderline-high classification from either one or two samples. However, averaging three TC and LDL-C measurements increased the likelihood of classification within the 95% CI. The results indicate that when using the NCEP guidelines for children and adolescents, true concentrations for TC and LDL-C should be based on the mean of multiple samples.
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