Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort
This study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutri...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/12/10/2906 |
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| author | Heleen Van Puyvelde Aurora Perez-Cornago Corinne Casagrande Geneviève Nicolas Vickà Versele Guri Skeie Matthias B. Schulze Ingegerd Johansson José María Huerta Andreina Oliverio Fulvio Ricceri Jytte Halkjær Pilar Amiano Etxezarreta Koen Van Herck Elisabete Weiderpass Marc J. Gunter Inge Huybrechts |
| author_facet | Heleen Van Puyvelde Aurora Perez-Cornago Corinne Casagrande Geneviève Nicolas Vickà Versele Guri Skeie Matthias B. Schulze Ingegerd Johansson José María Huerta Andreina Oliverio Fulvio Ricceri Jytte Halkjær Pilar Amiano Etxezarreta Koen Van Herck Elisabete Weiderpass Marc J. Gunter Inge Huybrechts |
| author_sort | Heleen Van Puyvelde |
| collection | DOAJ |
| description | This study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutrient database (USNDB). Twenty-eight of these nutrients were already included in the EPIC nutrient database (ENDB—based upon country specific food composition tables), and used for comparison. Paired sample t-tests, Pearson’s correlations (r), weighted kappa’s (κ) and Bland-Altman plots were used to compare the dietary intake of 28 nutrients estimated by the USNDB and the ENDB for 476,768 participants. Small but significant differences were shown between the USNDB and the ENDB for energy and macronutrient intakes. Moderate to very strong correlations (r = 0.60–1.00) were found for all macro- and micronutrients. A strong agreement (κ > 0.80) was found for energy, water, total fat, carbohydrates, sugar, alcohol, potassium and vitamin C, whereas a weak agreement (κ < 0.60) was found for starch, vitamin D and vitamin E. Dietary intakes estimated via the USNDB compare adequately with those obtained via the ENDB for most macro- and micronutrients, although the agreement was weak for starch, vitamin D and vitamin E. The USNDB will allow exposure assessments for 150 nutrients to investigate associations with disease outcomes within the EPIC cohort. |
| first_indexed | 2024-03-10T16:08:01Z |
| format | Article |
| id | doaj.art-bccbc2f599984418ab8dbdc31e3237f8 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T16:08:01Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-bccbc2f599984418ab8dbdc31e3237f82023-11-20T14:46:54ZengMDPI AGNutrients2072-66432020-09-011210290610.3390/nu12102906Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) CohortHeleen Van Puyvelde0Aurora Perez-Cornago1Corinne Casagrande2Geneviève Nicolas3Vickà Versele4Guri Skeie5Matthias B. Schulze6Ingegerd Johansson7José María Huerta8Andreina Oliverio9Fulvio Ricceri10Jytte Halkjær11Pilar Amiano Etxezarreta12Koen Van Herck13Elisabete Weiderpass14Marc J. Gunter15Inge Huybrechts16Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, BelgiumCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Roosevelt dr, Oxford OX3 7LF, UKNutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, FranceNutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, FranceDepartment of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, BelgiumHead of Nutrition Studies, Department of Community Medicine, UiT the Arctic University of Norway, Hansine Hansens veg 18, 9037 Tromsø, NorwayDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, GermanySchool of Dentistry, Cariology, Department of Odontology, Umeå University, 1D, Våning 5, Norrlands Universitetssjukhus, 901 85 Umeå, SwedenMurcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Ronda de Levante, 11., 30008 Murcia, SpainEpidemiology and Prevention Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, ItalyDepartment of Clinical and Biological Sciences, University of Turin, Regione Gonzole 10, 10043 Orbassano (TO), ItalyDiet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, DenmarkCIBER de Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, SpainDepartment of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, BelgiumOffice of the Director, International Agency for Research on Cancer, 150 Cours Albert Thomas, CEDEX 08, 69372 Lyon, FranceNutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, FranceNutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, FranceThis study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutrient database (USNDB). Twenty-eight of these nutrients were already included in the EPIC nutrient database (ENDB—based upon country specific food composition tables), and used for comparison. Paired sample t-tests, Pearson’s correlations (r), weighted kappa’s (κ) and Bland-Altman plots were used to compare the dietary intake of 28 nutrients estimated by the USNDB and the ENDB for 476,768 participants. Small but significant differences were shown between the USNDB and the ENDB for energy and macronutrient intakes. Moderate to very strong correlations (r = 0.60–1.00) were found for all macro- and micronutrients. A strong agreement (κ > 0.80) was found for energy, water, total fat, carbohydrates, sugar, alcohol, potassium and vitamin C, whereas a weak agreement (κ < 0.60) was found for starch, vitamin D and vitamin E. Dietary intakes estimated via the USNDB compare adequately with those obtained via the ENDB for most macro- and micronutrients, although the agreement was weak for starch, vitamin D and vitamin E. The USNDB will allow exposure assessments for 150 nutrients to investigate associations with disease outcomes within the EPIC cohort.https://www.mdpi.com/2072-6643/12/10/2906food composition databasenutrient databaseEPICENDBUSDA |
| spellingShingle | Heleen Van Puyvelde Aurora Perez-Cornago Corinne Casagrande Geneviève Nicolas Vickà Versele Guri Skeie Matthias B. Schulze Ingegerd Johansson José María Huerta Andreina Oliverio Fulvio Ricceri Jytte Halkjær Pilar Amiano Etxezarreta Koen Van Herck Elisabete Weiderpass Marc J. Gunter Inge Huybrechts Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort Nutrients food composition database nutrient database EPIC ENDB USDA |
| title | Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort |
| title_full | Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort |
| title_fullStr | Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort |
| title_full_unstemmed | Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort |
| title_short | Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort |
| title_sort | comparing calculated nutrient intakes using different food composition databases results from the european prospective investigation into cancer and nutrition epic cohort |
| topic | food composition database nutrient database EPIC ENDB USDA |
| url | https://www.mdpi.com/2072-6643/12/10/2906 |
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