Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.
machine learning
metabolomics
new Nordic diet
obesity
precision nutrition
Journal
Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
03
2023
accepted:
12
07
2023
medline:
21
8
2023
pubmed:
21
8
2023
entrez:
21
8
2023
Statut:
epublish
Résumé
Results from randomized controlled trials indicate that no single diet performs better than other for all people living with obesity. Regardless of the diet plan, there is always large inter-individual variability in weight changes, with some individuals losing weight and some not losing or even gaining weight. This raises the possibility that, for different individuals, the optimal diet for successful weight loss may differ. The current study utilized machine learning to build a predictive model for successful weight loss in subjects with overweight or obesity on a New Nordic Diet (NND). Ninety-one subjects consumed an NND There were no differences in clinical parameters at baseline between responders and non-responders, except age (47 ± 13 vs. 39 ± 11 years, respectively, We identified a model containing two metabolites that were able to predict the likelihood of achieving a clinically significant weight loss on an
Sections du résumé
Background and aim
UNASSIGNED
Results from randomized controlled trials indicate that no single diet performs better than other for all people living with obesity. Regardless of the diet plan, there is always large inter-individual variability in weight changes, with some individuals losing weight and some not losing or even gaining weight. This raises the possibility that, for different individuals, the optimal diet for successful weight loss may differ. The current study utilized machine learning to build a predictive model for successful weight loss in subjects with overweight or obesity on a New Nordic Diet (NND).
Methods
UNASSIGNED
Ninety-one subjects consumed an NND
Results
UNASSIGNED
There were no differences in clinical parameters at baseline between responders and non-responders, except age (47 ± 13 vs. 39 ± 11 years, respectively,
Conclusion
UNASSIGNED
We identified a model containing two metabolites that were able to predict the likelihood of achieving a clinically significant weight loss on an
Identifiants
pubmed: 37599689
doi: 10.3389/fnut.2023.1191944
pmc: PMC10434509
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1191944Informations de copyright
Copyright © 2023 Pigsborg, Stentoft-Larsen, Demharter, Aldubayan, Trimigno, Khakimov, Engelsen, Astrup, Hjorth, Dragsted and Magkos.
Déclaration de conflit d'intérêts
VS-L and SD are employed at Abzu, developers of the QLattice®. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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