Proposition of an Energy Intake Estimating Scale through Item Response Theory.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
24 Oct 2023
Historique:
received: 20 09 2023
revised: 10 10 2023
accepted: 14 10 2023
medline: 15 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Traditional methods for assessing individual energy consumption often involve lengthy and intricate procedures. This study aims to introduce an Energy Consumption Estimation Scale, utilizing Item Response Theory (IRT) for adolescents aged 18-19 years. This psychometric investigation applies IRT to 93 items extracted from a validated food frequency questionnaire. The study encompasses a representative sample of 2515 adolescents from the São Luís birth cohort in Brazil. The latent trait, energy intake, is derived using IRT and subsequently validated through hierarchical multiple linear regression modeling. Significance was established at A Samejima's model was successfully fitted (CFI and TLI > 0.9 and RMSEA < 0.08), effectively capturing variations across all energy consumption levels. Factors associated with the latent trait demonstrate consistent behavioral patterns. Adolescents with higher energy intake exhibited increased consumption of dairy products, artificially sweetened beverages, and seasonal fruits and vegetables. The proposed Energy Consumption Estimation Scale demonstrates a reliable measurement of energy intake and serves as a practical and concise alternative for assessing energy consumption among adolescents. These findings suggest the potential for adapting similar models for different age groups and incorporating diverse food items based on the obtained results.

Sections du résumé

BACKGROUND BACKGROUND
Traditional methods for assessing individual energy consumption often involve lengthy and intricate procedures. This study aims to introduce an Energy Consumption Estimation Scale, utilizing Item Response Theory (IRT) for adolescents aged 18-19 years.
METHODS METHODS
This psychometric investigation applies IRT to 93 items extracted from a validated food frequency questionnaire. The study encompasses a representative sample of 2515 adolescents from the São Luís birth cohort in Brazil. The latent trait, energy intake, is derived using IRT and subsequently validated through hierarchical multiple linear regression modeling. Significance was established at
RESULTS RESULTS
A Samejima's model was successfully fitted (CFI and TLI > 0.9 and RMSEA < 0.08), effectively capturing variations across all energy consumption levels. Factors associated with the latent trait demonstrate consistent behavioral patterns. Adolescents with higher energy intake exhibited increased consumption of dairy products, artificially sweetened beverages, and seasonal fruits and vegetables.
CONCLUSIONS CONCLUSIONS
The proposed Energy Consumption Estimation Scale demonstrates a reliable measurement of energy intake and serves as a practical and concise alternative for assessing energy consumption among adolescents. These findings suggest the potential for adapting similar models for different age groups and incorporating diverse food items based on the obtained results.

Identifiants

pubmed: 37960164
pii: nu15214511
doi: 10.3390/nu15214511
pmc: PMC10650126
pii:
doi:

Substances chimiques

Sweetening Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Coordenação de Aperfeicoamento de Pessoal de Nível Superior
ID : 001
Organisme : National Council for Scientific and Technological Development
ID : 471923/2011-7
Organisme : National Council for Scientific and Technological Development
ID : 561058/2015-5
Organisme : Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão
ID : 0035/2008
Organisme : São Paulo Research Foundation
ID : 2008-53593-0

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Auteurs

Victor Nogueira da Cruz Silveira (VNDC)

Postgraduate Programme in Collective Health, Federal University of Maranhão, São Luís 65020-070, Brazil.

Ana Karina Teixeira da Cunha França (AKTDC)

Postgraduate Programme in Collective Health, Federal University of Maranhão, São Luís 65020-070, Brazil.

Cleber Lopes Campelo (CL)

Higher School of Health Sciences-Bachelor of Nursing, State University of Amazonas, Nurse at Brazilian Hospital Services Company (EBSERH), Manaus 69850-000, Brazil.

Patrícia Maria Abreu Machado (PMA)

Directorate of Technologies in Education, Federal University of Maranhão, São Luís 65080-805, Brazil.

Alcione Miranda Dos Santos (AMD)

Postgraduate Programme in Collective Health, Federal University of Maranhão, São Luís 65020-070, Brazil.

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Classifications MeSH