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Related Experiment Videos

Plasma vitamin C: what does it measure?

A R Ness1, K T Khaw, S Bingham

  • 1University of Bristol, Department of Social Medicine, UK. Andy.Ness@bris.ac.uk

Public Health Nutrition
|August 19, 1999
PubMed
Summary
This summary is machine-generated.

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Plasma vitamin C levels are associated with specific dietary patterns, not just vitamin C-rich foods. This suggests food consumption habits influence vitamin C status, impacting health biomarker interpretations.

Area of Science:

  • Nutritional Science
  • Biochemistry
  • Public Health

Background:

  • Plasma vitamin C is a key biomarker for assessing vitamin C status.
  • Dietary intake is the primary determinant of plasma vitamin C levels.
  • Understanding dietary patterns associated with vitamin C status is crucial for public health initiatives.

Purpose of the Study:

  • To investigate the relationship between self-reported food consumption and plasma vitamin C levels.
  • To identify specific food groups and dietary patterns associated with higher or lower plasma vitamin C.
  • To explore potential population-specific dietary influences on vitamin C status.

Main Methods:

  • Cross-sectional analysis of dietary data and plasma vitamin C measurements.
  • Participants (n=1164) aged 45-74 years in Norfolk, UK, reported food intake frequency.

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  • Plasma vitamin C was quantified using a fluorometric assay.
  • Main Results:

    • Plasma vitamin C showed positive correlations with fresh fruit, leafy greens, other vegetables, and brown bread consumption.
    • Negative associations were observed between plasma vitamin C and meat product intake.
    • Significant differences in plasma vitamin C were noted between never and daily consumers of brown bread.

    Conclusions:

    • Plasma vitamin C reflects broader dietary patterns beyond just vitamin C-rich foods.
    • Dietary patterns associated with vitamin C status may be population-specific.
    • These findings may help explain variations in biomarker-disease associations observed in different populations.