Assessment of the prevalence of inadequate iron intakes in premenopausal females based on the reference values of the European Food Safety Authority using cross-sectional food consumption data.

Beaton’s Full Probability Approach EAR cut-point method EFSA Habitual intake IOM Iron SPADE premenopausal females

Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
04 May 2024
Historique:
received: 08 12 2023
revised: 26 03 2024
accepted: 29 04 2024
medline: 7 5 2024
pubmed: 7 5 2024
entrez: 6 5 2024
Statut: aheadofprint

Résumé

The iron intake requirement distribution for premenopausal females is not symmetric, which invalidates the EAR (Estimated Average Requirement) cut-point approach for assessing prevalence of iron inadequacy. Therefore, Beaton's Full Probability Approach (PA) must be used. While the PA requires information on the entire iron intake requirement distribution, the European Food Safety Authority (EFSA) only provided the EAR (50th percentile), 90th, 95th (PRI) and 97.5th percentiles. This study aimed to reliably estimate the prevalence of iron inadequacy in premenopausal females using the PA, based on the intake requirements established by EFSA and compare the results with those obtained from the EAR cut-point method. Habitual iron intakes were calculated using Statistical Program to Assess Dietary Exposure (SPADE) with data from 484 females (20-45 y) from the Dutch National Food Consumption Survey 2012-2016. Iron requirement of EFSA (including additionally obtained information) were applied. Results from the PA were compared to results obtained with the EAR cut-point method. Sensitivity analyses examined the impact of lower iron intake distributions on differences in estimated inadequate intakes between PA and EAR-cut point method. A twofold higher prevalence of iron inadequacy among Dutch premenopausal females was observed when employing the PA compared to the EAR cut-point method, using EFSA's reference values. Sensitivity analysis showed that the EAR cut-point method could also result in large overestimations for populations with lower intake distributions. This study provided an example for using the PA method by using additionally derived information on the full requirement distribution underlying EFSA's reference values. Results showed once more the unsuitability of the EAR cut-point method to calculate the prevalence of iron inadequacy in premenopausal females. Hence, we recommend that institutions deriving dietary reference values provide all information needed to use the correct method to determine inadequate intakes in the population.

Sections du résumé

BACKGROUND BACKGROUND
The iron intake requirement distribution for premenopausal females is not symmetric, which invalidates the EAR (Estimated Average Requirement) cut-point approach for assessing prevalence of iron inadequacy. Therefore, Beaton's Full Probability Approach (PA) must be used. While the PA requires information on the entire iron intake requirement distribution, the European Food Safety Authority (EFSA) only provided the EAR (50th percentile), 90th, 95th (PRI) and 97.5th percentiles.
OBJECTIVE OBJECTIVE
This study aimed to reliably estimate the prevalence of iron inadequacy in premenopausal females using the PA, based on the intake requirements established by EFSA and compare the results with those obtained from the EAR cut-point method.
METHODS METHODS
Habitual iron intakes were calculated using Statistical Program to Assess Dietary Exposure (SPADE) with data from 484 females (20-45 y) from the Dutch National Food Consumption Survey 2012-2016. Iron requirement of EFSA (including additionally obtained information) were applied. Results from the PA were compared to results obtained with the EAR cut-point method. Sensitivity analyses examined the impact of lower iron intake distributions on differences in estimated inadequate intakes between PA and EAR-cut point method.
RESULTS RESULTS
A twofold higher prevalence of iron inadequacy among Dutch premenopausal females was observed when employing the PA compared to the EAR cut-point method, using EFSA's reference values. Sensitivity analysis showed that the EAR cut-point method could also result in large overestimations for populations with lower intake distributions.
CONCLUSIONS CONCLUSIONS
This study provided an example for using the PA method by using additionally derived information on the full requirement distribution underlying EFSA's reference values. Results showed once more the unsuitability of the EAR cut-point method to calculate the prevalence of iron inadequacy in premenopausal females. Hence, we recommend that institutions deriving dietary reference values provide all information needed to use the correct method to determine inadequate intakes in the population.

Identifiants

pubmed: 38710446
pii: S0002-9165(24)00459-3
doi: 10.1016/j.ajcnut.2024.04.033
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest JMG is Vice President of the Dutch Health Council (https://www.healthcouncil.nl), an independent scientific advisory body that is concerned with DRVs and dietary guidelines for The Netherlands. The other authors report no conflict of interest.

Auteurs

Marjolein H de Jong (MH)

National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands. Electronic address: marjolein.de.jong@rivm.nl.

Alida Melse-Boonstra (A)

Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.

Johanna M Geleijnse (JM)

Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.

Janneke Verkaik-Kloosterman (J)

National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

Classifications MeSH