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Methodological problems in characterizing an individual's plasma glucose level

K Liu, J Stamler, R Stamler

    Journal of Chronic Diseases
    |January 1, 1982
    PubMed
    Summary
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    Plasma glucose levels show significant intra-individual variation, increasing misclassification risk with single measurements. Different glucose tests also yield inconsistent individual rankings, impacting study reliability.

    Area of Science:

    • Endocrinology
    • Metabolic Health
    • Biostatistics

    Background:

    • Accurate characterization of plasma glucose levels is crucial for diagnosing and managing metabolic disorders.
    • Previous studies often rely on single measurements, potentially overlooking inherent biological variability.
    • The consistency of different glucose testing methods in classifying individuals remains incompletely understood.

    Purpose of the Study:

    • To quantify the intra-individual variation in 1-hour post-load plasma glucose levels.
    • To assess the probability of misclassifying individuals based on single glucose measurements.
    • To determine if various glucose tests (fasting, 1-hr, 2-hr post-load, GTT) provide consistent individual rankings.

    Main Methods:

    • Analysis of plasma glucose data from the Chicago Peoples Gas Company (PG) and Chicago Heart Association Detection Project in Industry (CHA) studies.

    Related Experiment Videos

  • Estimation of intra- to inter-individual variance ratios for plasma glucose and other biomarkers.
  • Application of rank correlation and quintile classification analyses using data from the Chicago Coronary Prevention Evaluation Program (CPEP).
  • Main Results:

    • Intra-individual variance ratios for post-load plasma glucose were higher compared to blood pressure, heart rate, weight, and serum uric acid.
    • Estimated probabilities indicated that while intra-individual variation may not abolish strong associations, it can complicate weaker ones.
    • Fasting, 1-hr, and 2-hr plasma glucose measurements demonstrated distinct individual characterizations, suggesting method-dependent classification.

    Conclusions:

    • Significant intra-individual variation in plasma glucose levels necessitates careful consideration in study design and interpretation.
    • Single plasma glucose measurements carry a risk of misclassification, potentially affecting the identification of individuals.
    • Inconsistent individual rankings across different glucose testing methods may contribute to variability in research findings.