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Food & You: A digital cohort on personalized nutrition
Nutrition is a key contributor to health. Recently, several studies have identified associations between factors such as microbiota composition and health-related responses to dietary intake, raising the potential of personalized nutritional recommendations. To further our understanding of personali...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688868/ https://www.ncbi.nlm.nih.gov/pubmed/38033170 http://dx.doi.org/10.1371/journal.pdig.0000389 |
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author | Héritier, Harris Allémann, Chloé Balakiriev, Oleksandr Boulanger, Victor Carroll, Sean F. Froidevaux, Noé Hugon, Germain Jaquet, Yannis Kebaili, Djilani Riccardi, Sandra Rousseau-Leupin, Geneviève Salathé, Rahel M. Salzmann, Talia Singh, Rohan Symul, Laura Ugurlu-Baud, Elif de Verteuil, Peter Salathé, Marcel |
author_facet | Héritier, Harris Allémann, Chloé Balakiriev, Oleksandr Boulanger, Victor Carroll, Sean F. Froidevaux, Noé Hugon, Germain Jaquet, Yannis Kebaili, Djilani Riccardi, Sandra Rousseau-Leupin, Geneviève Salathé, Rahel M. Salzmann, Talia Singh, Rohan Symul, Laura Ugurlu-Baud, Elif de Verteuil, Peter Salathé, Marcel |
author_sort | Héritier, Harris |
collection | PubMed |
description | Nutrition is a key contributor to health. Recently, several studies have identified associations between factors such as microbiota composition and health-related responses to dietary intake, raising the potential of personalized nutritional recommendations. To further our understanding of personalized nutrition, detailed individual data must be collected from participants in their day-to-day lives. However, this is challenging in conventional studies that require clinical measurements and site visits. So-called digital or remote cohorts allow in situ data collection on a daily basis through mobile applications, online services, and wearable sensors, but they raise questions about study retention and data quality. “Food & You” is a personalized nutrition study implemented as a digital cohort in which participants track food intake, physical activity, gut microbiota, glycemia, and other data for two to four weeks. Here, we describe the study protocol, report on study completion rates, and describe the collected data, focusing on assessing their quality and reliability. Overall, the study collected data from over 1000 participants, including high-resolution data of nutritional intake of more than 46 million kcal collected from 315,126 dishes over 23,335 participant days, 1,470,030 blood glucose measurements, 49,110 survey responses, and 1,024 stool samples for gut microbiota analysis. Retention was high, with over 60% of the enrolled participants completing the study. Various data quality assessment efforts suggest the captured high-resolution nutritional data accurately reflect individual diet patterns, paving the way for digital cohorts as a typical study design for personalized nutrition. |
format | Online Article Text |
id | pubmed-10688868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106888682023-12-01 Food & You: A digital cohort on personalized nutrition Héritier, Harris Allémann, Chloé Balakiriev, Oleksandr Boulanger, Victor Carroll, Sean F. Froidevaux, Noé Hugon, Germain Jaquet, Yannis Kebaili, Djilani Riccardi, Sandra Rousseau-Leupin, Geneviève Salathé, Rahel M. Salzmann, Talia Singh, Rohan Symul, Laura Ugurlu-Baud, Elif de Verteuil, Peter Salathé, Marcel PLOS Digit Health Research Article Nutrition is a key contributor to health. Recently, several studies have identified associations between factors such as microbiota composition and health-related responses to dietary intake, raising the potential of personalized nutritional recommendations. To further our understanding of personalized nutrition, detailed individual data must be collected from participants in their day-to-day lives. However, this is challenging in conventional studies that require clinical measurements and site visits. So-called digital or remote cohorts allow in situ data collection on a daily basis through mobile applications, online services, and wearable sensors, but they raise questions about study retention and data quality. “Food & You” is a personalized nutrition study implemented as a digital cohort in which participants track food intake, physical activity, gut microbiota, glycemia, and other data for two to four weeks. Here, we describe the study protocol, report on study completion rates, and describe the collected data, focusing on assessing their quality and reliability. Overall, the study collected data from over 1000 participants, including high-resolution data of nutritional intake of more than 46 million kcal collected from 315,126 dishes over 23,335 participant days, 1,470,030 blood glucose measurements, 49,110 survey responses, and 1,024 stool samples for gut microbiota analysis. Retention was high, with over 60% of the enrolled participants completing the study. Various data quality assessment efforts suggest the captured high-resolution nutritional data accurately reflect individual diet patterns, paving the way for digital cohorts as a typical study design for personalized nutrition. Public Library of Science 2023-11-30 /pmc/articles/PMC10688868/ /pubmed/38033170 http://dx.doi.org/10.1371/journal.pdig.0000389 Text en © 2023 Héritier et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Héritier, Harris Allémann, Chloé Balakiriev, Oleksandr Boulanger, Victor Carroll, Sean F. Froidevaux, Noé Hugon, Germain Jaquet, Yannis Kebaili, Djilani Riccardi, Sandra Rousseau-Leupin, Geneviève Salathé, Rahel M. Salzmann, Talia Singh, Rohan Symul, Laura Ugurlu-Baud, Elif de Verteuil, Peter Salathé, Marcel Food & You: A digital cohort on personalized nutrition |
title | Food & You: A digital cohort on personalized nutrition |
title_full | Food & You: A digital cohort on personalized nutrition |
title_fullStr | Food & You: A digital cohort on personalized nutrition |
title_full_unstemmed | Food & You: A digital cohort on personalized nutrition |
title_short | Food & You: A digital cohort on personalized nutrition |
title_sort | food & you: a digital cohort on personalized nutrition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688868/ https://www.ncbi.nlm.nih.gov/pubmed/38033170 http://dx.doi.org/10.1371/journal.pdig.0000389 |
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