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...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-11-01
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| Series: | PLOS Digital Health |
| Online Access: | https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000389&type=printable |
| _version_ | 1827585970991529984 |
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| author | Harris Héritier Chloé Allémann Oleksandr Balakiriev Victor Boulanger Sean F Carroll Noé Froidevaux Germain Hugon Yannis Jaquet Djilani Kebaili Sandra Riccardi Geneviève Rousseau-Leupin Rahel M Salathé Talia Salzmann Rohan Singh Laura Symul Elif Ugurlu-Baud Peter de Verteuil Marcel Salathé |
| author_facet | Harris Héritier Chloé Allémann Oleksandr Balakiriev Victor Boulanger Sean F Carroll Noé Froidevaux Germain Hugon Yannis Jaquet Djilani Kebaili Sandra Riccardi Geneviève Rousseau-Leupin Rahel M Salathé Talia Salzmann Rohan Singh Laura Symul Elif Ugurlu-Baud Peter de Verteuil Marcel Salathé |
| author_sort | Harris Héritier |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-08T23:54:19Z |
| format | Article |
| id | doaj.art-06112f0e151e4be6b774765e37378575 |
| institution | Directory Open Access Journal |
| issn | 2767-3170 |
| language | English |
| last_indexed | 2024-03-08T23:54:19Z |
| publishDate | 2023-11-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLOS Digital Health |
| spelling | doaj.art-06112f0e151e4be6b774765e373785752023-12-13T05:33:04ZengPublic Library of Science (PLoS)PLOS Digital Health2767-31702023-11-01211e000038910.1371/journal.pdig.0000389Food & You: A digital cohort on personalized nutrition.Harris HéritierChloé AllémannOleksandr BalakirievVictor BoulangerSean F CarrollNoé FroidevauxGermain HugonYannis JaquetDjilani KebailiSandra RiccardiGeneviève Rousseau-LeupinRahel M SalathéTalia SalzmannRohan SinghLaura SymulElif Ugurlu-BaudPeter de VerteuilMarcel SalathéNutrition 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.https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000389&type=printable |
| spellingShingle | Harris Héritier Chloé Allémann Oleksandr Balakiriev Victor Boulanger Sean F Carroll Noé Froidevaux Germain Hugon Yannis Jaquet Djilani Kebaili Sandra Riccardi Geneviève Rousseau-Leupin Rahel M Salathé Talia Salzmann Rohan Singh Laura Symul Elif Ugurlu-Baud Peter de Verteuil Marcel Salathé Food & You: A digital cohort on personalized nutrition. PLOS Digital Health |
| 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 |
| url | https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000389&type=printable |
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