Cargando…
Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study
Methods for measuring diet composition and quantifying nutrient intake with sufficient validity are essential to study the association between nutrition and health outcomes and risk of diseases. 7-day food records provides a quantification of food actually and currently consumed and is interesting f...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174234/ https://www.ncbi.nlm.nih.gov/pubmed/30327612 http://dx.doi.org/10.3389/fphys.2018.01359 |
_version_ | 1783361255912767488 |
---|---|
author | Ostan, Rita Guidarelli, Giulia Giampieri, Enrico Lanzarini, Catia Berendsen, Agnes A. M. Januszko, Olga Jennings, Amy Lyon, Noëlle Caumon, Elodie Gillings, Rachel Sicinska, Ewa Meunier, Nathalie Feskens, Edith J. M. Pietruszka, Barbara de Groot, Lisette C. P. G. M. Fairweather-Tait, Susan Capri, Miriam Franceschi, Claudio Santoro, Aurelia |
author_facet | Ostan, Rita Guidarelli, Giulia Giampieri, Enrico Lanzarini, Catia Berendsen, Agnes A. M. Januszko, Olga Jennings, Amy Lyon, Noëlle Caumon, Elodie Gillings, Rachel Sicinska, Ewa Meunier, Nathalie Feskens, Edith J. M. Pietruszka, Barbara de Groot, Lisette C. P. G. M. Fairweather-Tait, Susan Capri, Miriam Franceschi, Claudio Santoro, Aurelia |
author_sort | Ostan, Rita |
collection | PubMed |
description | Methods for measuring diet composition and quantifying nutrient intake with sufficient validity are essential to study the association between nutrition and health outcomes and risk of diseases. 7-day food records provides a quantification of food actually and currently consumed and is interesting for its use in intervention studies to monitor diet in a short-term period and to guide participants toward changing their intakes. The objective of this study is to analyze the correlation/association between the daily intake of selected nutrients (collected by a 7-day food records plus a mineral/vitamin supplementation questionnaire) and estimates of energy expenditure as well as blood and urine biomarkers of dietary intakes in 1,140 healthy elderly subjects (65–79 years) at baseline of the NU-AGE intervention study (NCT01754012, clinicaltrials.gov). The results show that: the daily intake of energy correlated significantly with predicted total energy expenditure (pTEE) (ρ = 0.459, p < 0.001, and q < 0.001); protein intake correlated significantly with the ratio of 24 h urinary urea to creatinine excretion (ρ = 0.143 for total protein intake, ρ = 0.296 for animal protein intake, and ρ = 0.359 for protein intake/body weight, p < 0.001 and q < 0.001 for each correlation); vitamin B12 and folate intakes correlated significantly with their serum concentrations (ρ = 0.151 and ρ = 0.363, respectively; p < 0.001 and q < 0.001 for each correlation); sodium and potassium intakes correlated significantly with their 24 h urinary excretion (ρ = 0.298 and ρ = 0.123, respectively; p < 0.001 and q < 0.001 for each correlation); vitamin B12 and folate intakes were negatively associated with plasma homocysteine measure (p = 0.001 and p = 0.004, respectively); stratifying subjects by gender, the correlations between energy intake and pTEE and between potassium intake and its 24 h urinary excretion lost their significance in women. Even if the plasma and urinary levels of these nutrients depend on several factors, the significant correlations between daily reported intake of nutrients (protein, vitamin B12, folate, and sodium) and their blood/urinary markers confirmed that the 7-day food records (plus a supplementation questionnaire) provides reliable data to evaluate short-term current dietary intake in European elderly subjects and it can be exploited to guide and monitor NU-AGE participants through the shift of their diet according NU-AGE recommendations. |
format | Online Article Text |
id | pubmed-6174234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61742342018-10-16 Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study Ostan, Rita Guidarelli, Giulia Giampieri, Enrico Lanzarini, Catia Berendsen, Agnes A. M. Januszko, Olga Jennings, Amy Lyon, Noëlle Caumon, Elodie Gillings, Rachel Sicinska, Ewa Meunier, Nathalie Feskens, Edith J. M. Pietruszka, Barbara de Groot, Lisette C. P. G. M. Fairweather-Tait, Susan Capri, Miriam Franceschi, Claudio Santoro, Aurelia Front Physiol Physiology Methods for measuring diet composition and quantifying nutrient intake with sufficient validity are essential to study the association between nutrition and health outcomes and risk of diseases. 7-day food records provides a quantification of food actually and currently consumed and is interesting for its use in intervention studies to monitor diet in a short-term period and to guide participants toward changing their intakes. The objective of this study is to analyze the correlation/association between the daily intake of selected nutrients (collected by a 7-day food records plus a mineral/vitamin supplementation questionnaire) and estimates of energy expenditure as well as blood and urine biomarkers of dietary intakes in 1,140 healthy elderly subjects (65–79 years) at baseline of the NU-AGE intervention study (NCT01754012, clinicaltrials.gov). The results show that: the daily intake of energy correlated significantly with predicted total energy expenditure (pTEE) (ρ = 0.459, p < 0.001, and q < 0.001); protein intake correlated significantly with the ratio of 24 h urinary urea to creatinine excretion (ρ = 0.143 for total protein intake, ρ = 0.296 for animal protein intake, and ρ = 0.359 for protein intake/body weight, p < 0.001 and q < 0.001 for each correlation); vitamin B12 and folate intakes correlated significantly with their serum concentrations (ρ = 0.151 and ρ = 0.363, respectively; p < 0.001 and q < 0.001 for each correlation); sodium and potassium intakes correlated significantly with their 24 h urinary excretion (ρ = 0.298 and ρ = 0.123, respectively; p < 0.001 and q < 0.001 for each correlation); vitamin B12 and folate intakes were negatively associated with plasma homocysteine measure (p = 0.001 and p = 0.004, respectively); stratifying subjects by gender, the correlations between energy intake and pTEE and between potassium intake and its 24 h urinary excretion lost their significance in women. Even if the plasma and urinary levels of these nutrients depend on several factors, the significant correlations between daily reported intake of nutrients (protein, vitamin B12, folate, and sodium) and their blood/urinary markers confirmed that the 7-day food records (plus a supplementation questionnaire) provides reliable data to evaluate short-term current dietary intake in European elderly subjects and it can be exploited to guide and monitor NU-AGE participants through the shift of their diet according NU-AGE recommendations. Frontiers Media S.A. 2018-10-01 /pmc/articles/PMC6174234/ /pubmed/30327612 http://dx.doi.org/10.3389/fphys.2018.01359 Text en Copyright © 2018 Ostan, Guidarelli, Giampieri, Lanzarini, Berendsen, Januszko, Jennings, Lyon, Caumon, Gillings, Sicinska, Meunier, Feskens, Pietruszka, de Groot, Fairweather-Tait, Capri, Franceschi and Santoro. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Ostan, Rita Guidarelli, Giulia Giampieri, Enrico Lanzarini, Catia Berendsen, Agnes A. M. Januszko, Olga Jennings, Amy Lyon, Noëlle Caumon, Elodie Gillings, Rachel Sicinska, Ewa Meunier, Nathalie Feskens, Edith J. M. Pietruszka, Barbara de Groot, Lisette C. P. G. M. Fairweather-Tait, Susan Capri, Miriam Franceschi, Claudio Santoro, Aurelia Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title | Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title_full | Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title_fullStr | Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title_full_unstemmed | Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title_short | Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study |
title_sort | cross-sectional analysis of the correlation between daily nutrient intake assessed by 7-day food records and biomarkers of dietary intake among participants of the nu-age study |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174234/ https://www.ncbi.nlm.nih.gov/pubmed/30327612 http://dx.doi.org/10.3389/fphys.2018.01359 |
work_keys_str_mv | AT ostanrita crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT guidarelligiulia crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT giampierienrico crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT lanzarinicatia crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT berendsenagnesam crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT januszkoolga crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT jenningsamy crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT lyonnoelle crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT caumonelodie crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT gillingsrachel crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT sicinskaewa crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT meuniernathalie crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT feskensedithjm crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT pietruszkabarbara crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT degrootlisettecpgm crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT fairweathertaitsusan crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT caprimiriam crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT franceschiclaudio crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy AT santoroaurelia crosssectionalanalysisofthecorrelationbetweendailynutrientintakeassessedby7dayfoodrecordsandbiomarkersofdietaryintakeamongparticipantsofthenuagestudy |