Dietary flavonoid intake in older adults: how many days of dietary assessment are required and what is the impact of seasonality?

Nutr J. 2018 Jan 12;17(1):7. doi: 10.1186/s12937-017-0309-7.

Abstract

Background: Within- and between-person variation in nutrient intake is well established, but little is known about variability in dietary flavonoid intake, including the effect of seasonality.

Methods: Within- and between-individual variability of flavonoid intake, and intake of flavonoid subclasses was examined in older adults (n = 79; mean age 70.1 y (range: 60y-80y)), using three separate 4-day weighed food records (WFR) collected approximately 4 months apart. The effects of seasonality were also examined. Mixed-effects linear regression models were used to estimate within- and between-individual variance components for flavonoids and subclasses. The number of days of dietary assessment required for a high level of hypothetical accuracy was calculated from variance ratios.

Results: Within- and between-individual variability was high for flavonoid intake, and intake of flavonoid subclasses, with variance ratios > 1. It was calculated that six days of WFR data are required for total flavonoid intake, and between 6 and 10 days was required for flavonoid subclasses. There was no effect of seasonality for total flavonoid intake or intake of flavonoid subclasses, with the exception that flavan-3-ol and flavanone intakes which were relatively low in summer, and in summer and winter, respectively.

Conclusion: While the effects of seasonality on total flavonoid intake may be small, within- and between-individual variation associated with flavonoid intake assessment appears to be substantial across 12 days of WFR data in older adults. It is recommended that a minimum of 6 days of weighed food records are collected to minimise the impact of within- and between-individual variability on total flavonoid intake assessments in this population.

Keywords: Between-individual variation; Dietary assessment; Flavonoids; Seasonality; Variance ratio; Within-individual variation.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Australia
  • Diet / statistics & numerical data*
  • Female
  • Flavonoids / administration & dosage*
  • Geriatric Assessment / statistics & numerical data*
  • Humans
  • Male
  • Nutrition Assessment
  • Nutrition Surveys / statistics & numerical data*
  • Research Design*
  • Seasons*
  • Time

Substances

  • Flavonoids