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Development and Validation of a Self-Administered Semiquantitative Food Frequency Questionnaire Focused on Gut Microbiota: The Stance4Health-FFQ
: Diet significantly influences gut microbiota (GM), with variations in GM responses linked to the type and quantity of food consumed. These variations underscore the need for personalized nutrition. The Stance4Health (S4H) project developed the S4H Food Frequency Questionnaire (S4H-FFQ) and the i-D...
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Published in: | Nutrients 2024-11, Vol.16 (23), p.4064 |
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creator | Formisano, Annarita Russo, Marika Dello Russo, Paola Siani, Alfonso Hinojosa-Nogueira, Daniel Navajas-Porras, Beatriz Toledano-Marín, Ángela Pastoriza, Silvia Blasco, Telmo Lerma-Aguilera, Alberto Francino, María Pilar Planes, Francisco Javier González-Vigil, Verónica Rufián-Henares, José Ángel Lauria, Fabio |
description | : Diet significantly influences gut microbiota (GM), with variations in GM responses linked to the type and quantity of food consumed. These variations underscore the need for personalized nutrition. The Stance4Health (S4H) project developed the S4H Food Frequency Questionnaire (S4H-FFQ) and the i-Diet S4H app to assess dietary intake of foods affecting GM. This study aimed to validate the S4H-FFQ against the validated I.Family-FFQ and the i-Diet S4H app;
The S4H-FFQ, with 200 food items across 14 food groups, evaluates dietary intake over the past month. Qualitative validation compared food group consumption frequencies from the S4H-FFQ and the I.Family-FFQ, while quantitative validation assessed nutrient and energy intake using the i-Diet S4H app. The S4H-GM score, a measure of GM-relevant food consumption, was evaluated through the S4H-FFQ and i-Diet S4H app;
: Pearson correlations between the S4H-FFQ and the I.Family-FFQ ranged from 0.3 to 0.7 and were statistically significant across all the food groups. Quantitative validation showed lower but consistent correlations, comparable with other studies, confirming the S4H-FFQ's ability to estimate food intake. A positive correlation was also found between the S4H-GM scores from the S4H-FFQ and the i-Diet S4H app (
< 0.001);
: The S4H-FFQ is a reliable tool for assessing dietary patterns that influence GM. Its application in nutritional studies can enhance personalized nutrition and support future research aimed at optimizing GM and improving health outcomes. |
doi_str_mv | 10.3390/nu16234064 |
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The S4H-FFQ, with 200 food items across 14 food groups, evaluates dietary intake over the past month. Qualitative validation compared food group consumption frequencies from the S4H-FFQ and the I.Family-FFQ, while quantitative validation assessed nutrient and energy intake using the i-Diet S4H app. The S4H-GM score, a measure of GM-relevant food consumption, was evaluated through the S4H-FFQ and i-Diet S4H app;
: Pearson correlations between the S4H-FFQ and the I.Family-FFQ ranged from 0.3 to 0.7 and were statistically significant across all the food groups. Quantitative validation showed lower but consistent correlations, comparable with other studies, confirming the S4H-FFQ's ability to estimate food intake. A positive correlation was also found between the S4H-GM scores from the S4H-FFQ and the i-Diet S4H app (
< 0.001);
: The S4H-FFQ is a reliable tool for assessing dietary patterns that influence GM. Its application in nutritional studies can enhance personalized nutrition and support future research aimed at optimizing GM and improving health outcomes.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16234064</identifier><identifier>PMID: 39683458</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Chronic illnesses ; Diet ; Diet - methods ; Diet Surveys ; Disease ; Energy Intake ; Exercise ; Feeding Behavior ; Female ; Food ; Food habits ; Gastrointestinal Microbiome - physiology ; Health aspects ; Humans ; Male ; Marketing research ; Microbiota ; Microbiota (Symbiotic organisms) ; Middle Aged ; Nutrition Assessment ; Nutrition research ; Oils & fats ; Questionnaires ; Reproducibility of Results ; Surveys ; Surveys and Questionnaires ; Type 2 diabetes ; Validation studies ; Young Adult</subject><ispartof>Nutrients, 2024-11, Vol.16 (23), p.4064</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-d9647e90ede1d483d62abe96035b6f90ec75752bb88e43d4a5a02636d93dd0f73</cites><orcidid>0000-0002-4510-5653 ; 0000-0003-1155-3105 ; 0000-0003-3883-1929 ; 0000-0002-3603-0143 ; 0000-0001-7328-3716 ; 0000-0002-2604-3303 ; 0000-0001-6211-5434 ; 0009-0007-4348-9140 ; 0000-0002-1663-1582 ; 0000-0002-9797-2943 ; 0000-0002-0723-7460 ; 0000-0002-1428-4353 ; 0000-0002-7630-265X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3144131031/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3144131031?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39683458$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Formisano, Annarita</creatorcontrib><creatorcontrib>Russo, Marika Dello</creatorcontrib><creatorcontrib>Russo, Paola</creatorcontrib><creatorcontrib>Siani, Alfonso</creatorcontrib><creatorcontrib>Hinojosa-Nogueira, Daniel</creatorcontrib><creatorcontrib>Navajas-Porras, Beatriz</creatorcontrib><creatorcontrib>Toledano-Marín, Ángela</creatorcontrib><creatorcontrib>Pastoriza, Silvia</creatorcontrib><creatorcontrib>Blasco, Telmo</creatorcontrib><creatorcontrib>Lerma-Aguilera, Alberto</creatorcontrib><creatorcontrib>Francino, María Pilar</creatorcontrib><creatorcontrib>Planes, Francisco Javier</creatorcontrib><creatorcontrib>González-Vigil, Verónica</creatorcontrib><creatorcontrib>Rufián-Henares, José Ángel</creatorcontrib><creatorcontrib>Lauria, Fabio</creatorcontrib><title>Development and Validation of a Self-Administered Semiquantitative Food Frequency Questionnaire Focused on Gut Microbiota: The Stance4Health-FFQ</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>: Diet significantly influences gut microbiota (GM), with variations in GM responses linked to the type and quantity of food consumed. These variations underscore the need for personalized nutrition. The Stance4Health (S4H) project developed the S4H Food Frequency Questionnaire (S4H-FFQ) and the i-Diet S4H app to assess dietary intake of foods affecting GM. This study aimed to validate the S4H-FFQ against the validated I.Family-FFQ and the i-Diet S4H app;
The S4H-FFQ, with 200 food items across 14 food groups, evaluates dietary intake over the past month. Qualitative validation compared food group consumption frequencies from the S4H-FFQ and the I.Family-FFQ, while quantitative validation assessed nutrient and energy intake using the i-Diet S4H app. The S4H-GM score, a measure of GM-relevant food consumption, was evaluated through the S4H-FFQ and i-Diet S4H app;
: Pearson correlations between the S4H-FFQ and the I.Family-FFQ ranged from 0.3 to 0.7 and were statistically significant across all the food groups. Quantitative validation showed lower but consistent correlations, comparable with other studies, confirming the S4H-FFQ's ability to estimate food intake. A positive correlation was also found between the S4H-GM scores from the S4H-FFQ and the i-Diet S4H app (
< 0.001);
: The S4H-FFQ is a reliable tool for assessing dietary patterns that influence GM. Its application in nutritional studies can enhance personalized nutrition and support future research aimed at optimizing GM and improving health outcomes.</description><subject>Adult</subject><subject>Chronic illnesses</subject><subject>Diet</subject><subject>Diet - methods</subject><subject>Diet Surveys</subject><subject>Disease</subject><subject>Energy Intake</subject><subject>Exercise</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food habits</subject><subject>Gastrointestinal Microbiome - physiology</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Male</subject><subject>Marketing research</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Middle Aged</subject><subject>Nutrition Assessment</subject><subject>Nutrition research</subject><subject>Oils & fats</subject><subject>Questionnaires</subject><subject>Reproducibility of Results</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Type 2 diabetes</subject><subject>Validation studies</subject><subject>Young Adult</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkt9qHSEQxpfS0oQ0N32AIvSmBDbV1XXX3pRD2k0KKSUk7a24Optj2NVz1D2Qt-gj1yVp_pTqhTL-vm-YcYriLcHHlAr80c2EV5Rhzl4U-xVuqpJzRl8-ue8VhzHe4GU1uOH0dbFHBW8pq9v94vcX2MHoNxO4hJQz6JcarVHJeof8gBS6hHEoV2ayzsYEAUyOTHY7K5dsytwOUOe9QV2A7QxO36KLGeKid8qG5VHPMauy3-mc0Herg--tT-oTuloDukzKaWBnoMa0Lrvu4k3xalBjhMP786D42X29Ojkrz3-cfjtZnZeaVk0qjeCsAYHBADGspYZXqgfBMa17PuS4buqmrvq-bYFRw1StcMUpN4Iag4eGHhSf73w3cz-B0bn-oEa5CXZS4VZ6ZeXzF2fX8trvJCG5p22zOHy4dwh-u9QsJxs1jKNy4OcoKWFcYFEJntH3_6A3fg4u17dQjFCCKXmkrtUI0rrB58R6MZWrlghRU8aWtMf_ofI2-V-0dzDYHH8mOLoT5M7HGGB4KJJgucyQfJyhDL972pYH9O_E0D_TqsHJ</recordid><startdate>20241126</startdate><enddate>20241126</enddate><creator>Formisano, Annarita</creator><creator>Russo, Marika Dello</creator><creator>Russo, Paola</creator><creator>Siani, Alfonso</creator><creator>Hinojosa-Nogueira, Daniel</creator><creator>Navajas-Porras, Beatriz</creator><creator>Toledano-Marín, Ángela</creator><creator>Pastoriza, Silvia</creator><creator>Blasco, Telmo</creator><creator>Lerma-Aguilera, Alberto</creator><creator>Francino, María Pilar</creator><creator>Planes, Francisco Javier</creator><creator>González-Vigil, Verónica</creator><creator>Rufián-Henares, José Ángel</creator><creator>Lauria, Fabio</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4510-5653</orcidid><orcidid>https://orcid.org/0000-0003-1155-3105</orcidid><orcidid>https://orcid.org/0000-0003-3883-1929</orcidid><orcidid>https://orcid.org/0000-0002-3603-0143</orcidid><orcidid>https://orcid.org/0000-0001-7328-3716</orcidid><orcidid>https://orcid.org/0000-0002-2604-3303</orcidid><orcidid>https://orcid.org/0000-0001-6211-5434</orcidid><orcidid>https://orcid.org/0009-0007-4348-9140</orcidid><orcidid>https://orcid.org/0000-0002-1663-1582</orcidid><orcidid>https://orcid.org/0000-0002-9797-2943</orcidid><orcidid>https://orcid.org/0000-0002-0723-7460</orcidid><orcidid>https://orcid.org/0000-0002-1428-4353</orcidid><orcidid>https://orcid.org/0000-0002-7630-265X</orcidid></search><sort><creationdate>20241126</creationdate><title>Development and Validation of a Self-Administered Semiquantitative Food Frequency Questionnaire Focused on Gut Microbiota: The Stance4Health-FFQ</title><author>Formisano, Annarita ; Russo, Marika Dello ; Russo, Paola ; Siani, Alfonso ; Hinojosa-Nogueira, Daniel ; Navajas-Porras, Beatriz ; Toledano-Marín, Ángela ; Pastoriza, Silvia ; Blasco, Telmo ; Lerma-Aguilera, Alberto ; Francino, María Pilar ; Planes, Francisco Javier ; González-Vigil, Verónica ; Rufián-Henares, José Ángel ; Lauria, Fabio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-d9647e90ede1d483d62abe96035b6f90ec75752bb88e43d4a5a02636d93dd0f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Chronic illnesses</topic><topic>Diet</topic><topic>Diet - 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These variations underscore the need for personalized nutrition. The Stance4Health (S4H) project developed the S4H Food Frequency Questionnaire (S4H-FFQ) and the i-Diet S4H app to assess dietary intake of foods affecting GM. This study aimed to validate the S4H-FFQ against the validated I.Family-FFQ and the i-Diet S4H app;
The S4H-FFQ, with 200 food items across 14 food groups, evaluates dietary intake over the past month. Qualitative validation compared food group consumption frequencies from the S4H-FFQ and the I.Family-FFQ, while quantitative validation assessed nutrient and energy intake using the i-Diet S4H app. The S4H-GM score, a measure of GM-relevant food consumption, was evaluated through the S4H-FFQ and i-Diet S4H app;
: Pearson correlations between the S4H-FFQ and the I.Family-FFQ ranged from 0.3 to 0.7 and were statistically significant across all the food groups. Quantitative validation showed lower but consistent correlations, comparable with other studies, confirming the S4H-FFQ's ability to estimate food intake. A positive correlation was also found between the S4H-GM scores from the S4H-FFQ and the i-Diet S4H app (
< 0.001);
: The S4H-FFQ is a reliable tool for assessing dietary patterns that influence GM. Its application in nutritional studies can enhance personalized nutrition and support future research aimed at optimizing GM and improving health outcomes.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39683458</pmid><doi>10.3390/nu16234064</doi><orcidid>https://orcid.org/0000-0002-4510-5653</orcidid><orcidid>https://orcid.org/0000-0003-1155-3105</orcidid><orcidid>https://orcid.org/0000-0003-3883-1929</orcidid><orcidid>https://orcid.org/0000-0002-3603-0143</orcidid><orcidid>https://orcid.org/0000-0001-7328-3716</orcidid><orcidid>https://orcid.org/0000-0002-2604-3303</orcidid><orcidid>https://orcid.org/0000-0001-6211-5434</orcidid><orcidid>https://orcid.org/0009-0007-4348-9140</orcidid><orcidid>https://orcid.org/0000-0002-1663-1582</orcidid><orcidid>https://orcid.org/0000-0002-9797-2943</orcidid><orcidid>https://orcid.org/0000-0002-0723-7460</orcidid><orcidid>https://orcid.org/0000-0002-1428-4353</orcidid><orcidid>https://orcid.org/0000-0002-7630-265X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Chronic illnesses Diet Diet - methods Diet Surveys Disease Energy Intake Exercise Feeding Behavior Female Food Food habits Gastrointestinal Microbiome - physiology Health aspects Humans Male Marketing research Microbiota Microbiota (Symbiotic organisms) Middle Aged Nutrition Assessment Nutrition research Oils & fats Questionnaires Reproducibility of Results Surveys Surveys and Questionnaires Type 2 diabetes Validation studies Young Adult |
title | Development and Validation of a Self-Administered Semiquantitative Food Frequency Questionnaire Focused on Gut Microbiota: The Stance4Health-FFQ |
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