Literature DB >> 3907483

Intra-individual variation: significant changes in parameters of lipid and carbohydrate metabolism in the individual and intra-individual variation in different test populations.

I F Godsland.   

Abstract

Fasting serum triglyceride, cholesterol, HDL cholesterol, HDL 2&3 cholesterol, fasting plasma glucose and insulin and haemoglobin A1 were measured under standardised conditions in a group of laboratory volunteers. Intra-individual variation was calculated for each parameter from weekly measurements on at least eleven successive occasions, and the minimum change in each parameter that would be significant at the level P less than 0.05 was calculated. A further study compared intra-individual variation in different test populations. Data from the group of laboratory volunteers were taken to represent intra-individual variation under standard test conditions with an informed test population and data from a group of regularly monitored out-patients undergoing drug therapy for hypercholesterolaemia were taken to represent intra-individual variation under standard conditions in a typical test population. A group of in-patients under strict dietary control provided information on variation under extreme standardisation of test conditions. Intra-individual variation was greatest for all parameters in the outpatient population. Extreme standardisation of test condition reduced intra-individual variation beyond that of the laboratory volunteers only in the case of serum triglyceride.

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Year:  1985        PMID: 3907483     DOI: 10.1177/000456328502200612

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  2 in total

1.  Cholesterol levels in normal Irish adults: the Mater Hospital Cholesterol Screening Survey.

Authors:  J F Collier; S Maguire; P McGing; M B Codd; F Kyne; E Wright; K Halton; D UaConaill; D D Sugrue
Journal:  Ir J Med Sci       Date:  1996 Jul-Sep       Impact factor: 1.568

2.  Impact of time since last caloric intake on blood glucose levels.

Authors:  Susanne Moebus; Laura Göres; Christian Lösch; Karl-Heinz Jöckel
Journal:  Eur J Epidemiol       Date:  2011-08-06       Impact factor: 8.082

  2 in total

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