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A systematic review of dietary data collection methodologies for diet diversity indicators.
Mahal, Subeg; Kucha, Christopher; Kwofie, Ebenezer M; Ngadi, Michael.
Afiliação
  • Mahal S; Department of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, Canada.
  • Kucha C; Department of Food Science and Technology, University of Georgia, Athens, GA, United States.
  • Kwofie EM; Department of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, Canada.
  • Ngadi M; Department of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, Canada.
Front Nutr ; 11: 1195799, 2024.
Article em En | MEDLINE | ID: mdl-38577154
ABSTRACT
The purpose of the current study was to critically assess the gaps in the existing methodologies of dietary data collection for diet diversity indicators. The study proposed the importance of smartphone application to overcome the drawbacks. The review paper identified and assessed the conventional methodologies used in diet diversity indicators including Minimum Dietary Diversity for Women (MDD-W), Minimum Dietary Diversity of Infant and Young Child Feeding Practices (IYCF-MDD), and Household Dietary Diversity Score (HDDS). The 80 research studies from 38 countries were critically assessed on the basis of their research aim, study design, target audience, dietary data collection methodology, sample size, dietary data type, dietary data collection frequency, and location point of dietary data collection. Results indicated that most studies employed interviewer-administered 24-h recall assessing the dietary diversity. The review paper concluded that smartphone application had potential to overcome the identified limitations of conventional methodologies including recall bias, social-desirability bias, interviewer training, and cost-time constraints.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article