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Dietary flavonoid intake in older adults: how many days of dietary assessment are required and what is the impact of seasonality?
Kent, Katherine; Charlton, Karen E; Lee, Simone; Mond, Jonathon; Russell, Joanna; Mitchell, Paul; Flood, Victoria M.
Afiliação
  • Kent K; Centre for Rural Health, Faculty of Health, University of Tasmania, Locked Bag 1322, Launceston, TAS, 7250, Australia. Katherine.Kent@utas.edu.au.
  • Charlton KE; Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia.
  • Lee S; Illawarra Health and Medical Research Institute, Wollongong, Australia.
  • Mond J; Centre for Rural Health, Faculty of Health, University of Tasmania, Locked Bag 1322, Launceston, TAS, 7250, Australia.
  • Russell J; Centre for Rural Health, Faculty of Health, University of Tasmania, Locked Bag 1322, Launceston, TAS, 7250, Australia.
  • Mitchell P; Faculty of Social Sciences, University of Wollongong, Wollongong, Australia.
  • Flood VM; Centre for Vision Research, University of Sydney, Sydney, Australia.
Nutr J ; 17(1): 7, 2018 01 12.
Article em En | MEDLINE | ID: mdl-29329536
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Estações do Ano / Flavonoides / Avaliação Geriátrica / Inquéritos Nutricionais / Dieta Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Oceania Idioma: En Revista: Nutr J Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Estações do Ano / Flavonoides / Avaliação Geriátrica / Inquéritos Nutricionais / Dieta Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Oceania Idioma: En Revista: Nutr J Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Austrália