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   Articles with "dietary data" as a keyword



Application of machine learning algorithm incorporating dietary intake in prediction of gestational diabetes mellitus

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recommendations! Published in 2024 at "Endocrine Connections"

DOI: 10.1530/ec-24-0169

Abstract: Introduction Gestational diabetes mellitus (GDM) significantly affects pregnancy outcomes. Therefore, it is crucial to develop prediction models since they can guide timely interventions to reduce the incidence of GDM and its associated adverse effects. Methods… read more here.

Keywords: gestational diabetes; diabetes mellitus; logistic regression; performance ... See more keywords
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Enteral Ca-Intake May Be Low and Affects Serum-PTH-Levels in Pre-school Children With Chronic Kidney Disease

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recommendations! Published in 2021 at "Frontiers in Pediatrics"

DOI: 10.3389/fped.2021.666101

Abstract: Treatment of chronic kidney disease (CKD) mineral bone disorder (MBD) is challenging in growing children due to the high amount of calcium needed for normal bone mineralization and the required dietary phosphate restriction, which often… read more here.

Keywords: intake; chronic kidney; data collections; calcium ... See more keywords

Can a Simple Dietary Index Derived from a Sub-Set of Questionnaire Items Assess Diet Quality in a Sample of Australian Adults?

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recommendations! Published in 2018 at "Nutrients"

DOI: 10.3390/nu10040486

Abstract: Large, longitudinal surveys often lack consistent dietary data, limiting the use of existing tools and methods that are available to measure diet quality. This study describes a method that was used to develop a simple… read more here.

Keywords: quality; index; diet quality; questionnaire items ... See more keywords

Global Trends in the Availability of Dietary Data in Low and Middle-Income Countries

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recommendations! Published in 2022 at "Nutrients"

DOI: 10.3390/nu14142987

Abstract: Individual-level quantitative dietary data can provide suitably disaggregated information to identify the needs of all population sub-groups, which can in turn inform agricultural, nutrition, food safety, and environmental policies and programs. The purpose of this… read more here.

Keywords: dietary surveys; dietary data; income countries; middle income ... See more keywords

The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns

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recommendations! Published in 2022 at "Nutrients"

DOI: 10.3390/nu15010195

Abstract: In the last decades, different multivariate techniques have been applied to multidimensional dietary datasets to identify meaningful patterns reflecting the dietary habits of populations. Among them, principal component analysis (PCA) and cluster analysis represent the… read more here.

Keywords: principal components; dietary data; components nutritional; clustering principal ... See more keywords