Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years)
Polyphenols have been suggested as protective factors for a range of chronic diseases. However, studying the impact of individual polyphenols on health is hindered by the intrinsic inter-correlations among polyphenols. Alternatively, studying foods rich in specific polyphenols fails to grasp the ubi...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2016-01-01
|
| Series: | Journal of Nutritional Science |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2048679016000161/type/journal_article |
| _version_ | 1811155924219330560 |
|---|---|
| author | Chantal Julia Mathilde Touvier Camille Lassale Léopold Fezeu Pilar Galan Serge Hercberg Emmanuelle Kesse-Guyot |
| author_facet | Chantal Julia Mathilde Touvier Camille Lassale Léopold Fezeu Pilar Galan Serge Hercberg Emmanuelle Kesse-Guyot |
| author_sort | Chantal Julia |
| collection | DOAJ |
| description | Polyphenols have been suggested as protective factors for a range of chronic diseases. However, studying the impact of individual polyphenols on health is hindered by the intrinsic inter-correlations among polyphenols. Alternatively, studying foods rich in specific polyphenols fails to grasp the ubiquity of these components. Studying overall dietary patterns would allow for a more comprehensive description of polyphenol intakes in the population. Our objective was to identify clusters of dietary polyphenol intakes in a French middle-aged population (35–64 years old). Participants from the primary prevention trial SUpplementation en VItamines et Minéraux AntioXydants (SU.VI.MAX) study were included in the present cross-sectional study (n 6092; 57·8 % females; mean age 48·7 (sd 6·4) years). The fifty most consumed individual dietary polyphenols were divided into energy-adjusted tertiles and introduced in a multiple correspondence analysis (MCA), leading to comprehensive factors of dietary polyphenol intakes. The identified factors discriminating polyphenol intakes were used in a hierarchical clustering procedure. Four clusters were identified, corresponding broadly to clustered preferences for their respective food sources. Cluster 1 was characterised by high intakes of tea polyphenols. Cluster 2 was characterised by high intakes of wine polyphenols. Cluster 3 was characterised by high intakes of flavanones and flavones, corresponding to high consumption of fruit and vegetables, and more broadly to a healthier diet. Cluster 4 was characterised by high intakes of hydroxycinnamic acids, but was also associated with alcohol consumption and smoking. Profiles of polyphenol intakes allowed for the identification of meaningful combinations of polyphenol intakes in the diet. |
| first_indexed | 2024-04-10T04:43:00Z |
| format | Article |
| id | doaj.art-8151511147104897b54fa1f636cccbec |
| institution | Directory Open Access Journal |
| issn | 2048-6790 |
| language | English |
| last_indexed | 2024-04-10T04:43:00Z |
| publishDate | 2016-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Nutritional Science |
| spelling | doaj.art-8151511147104897b54fa1f636cccbec2023-03-09T12:38:49ZengCambridge University PressJournal of Nutritional Science2048-67902016-01-01510.1017/jns.2016.16Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years)Chantal Julia0Mathilde Touvier1Camille Lassale2Léopold Fezeu3Pilar Galan4Serge Hercberg5Emmanuelle Kesse-Guyot6Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France Department of Public Health, Avicenne Hospital (AP-HP), Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France Department of Public Health, Avicenne Hospital (AP-HP), Bobigny, FranceUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, FrancePolyphenols have been suggested as protective factors for a range of chronic diseases. However, studying the impact of individual polyphenols on health is hindered by the intrinsic inter-correlations among polyphenols. Alternatively, studying foods rich in specific polyphenols fails to grasp the ubiquity of these components. Studying overall dietary patterns would allow for a more comprehensive description of polyphenol intakes in the population. Our objective was to identify clusters of dietary polyphenol intakes in a French middle-aged population (35–64 years old). Participants from the primary prevention trial SUpplementation en VItamines et Minéraux AntioXydants (SU.VI.MAX) study were included in the present cross-sectional study (n 6092; 57·8 % females; mean age 48·7 (sd 6·4) years). The fifty most consumed individual dietary polyphenols were divided into energy-adjusted tertiles and introduced in a multiple correspondence analysis (MCA), leading to comprehensive factors of dietary polyphenol intakes. The identified factors discriminating polyphenol intakes were used in a hierarchical clustering procedure. Four clusters were identified, corresponding broadly to clustered preferences for their respective food sources. Cluster 1 was characterised by high intakes of tea polyphenols. Cluster 2 was characterised by high intakes of wine polyphenols. Cluster 3 was characterised by high intakes of flavanones and flavones, corresponding to high consumption of fruit and vegetables, and more broadly to a healthier diet. Cluster 4 was characterised by high intakes of hydroxycinnamic acids, but was also associated with alcohol consumption and smoking. Profiles of polyphenol intakes allowed for the identification of meaningful combinations of polyphenol intakes in the diet.https://www.cambridge.org/core/product/identifier/S2048679016000161/type/journal_articlePolyphenol intakesCluster analysisProfiles of consumption |
| spellingShingle | Chantal Julia Mathilde Touvier Camille Lassale Léopold Fezeu Pilar Galan Serge Hercberg Emmanuelle Kesse-Guyot Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) Journal of Nutritional Science Polyphenol intakes Cluster analysis Profiles of consumption |
| title | Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) |
| title_full | Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) |
| title_fullStr | Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) |
| title_full_unstemmed | Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) |
| title_short | Cluster analysis of polyphenol intake in a French middle-aged population (aged 35–64 years) |
| title_sort | cluster analysis of polyphenol intake in a french middle aged population aged 35 64 years |
| topic | Polyphenol intakes Cluster analysis Profiles of consumption |
| url | https://www.cambridge.org/core/product/identifier/S2048679016000161/type/journal_article |
| work_keys_str_mv | AT chantaljulia clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT mathildetouvier clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT camillelassale clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT leopoldfezeu clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT pilargalan clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT sergehercberg clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years AT emmanuellekesseguyot clusteranalysisofpolyphenolintakeinafrenchmiddleagedpopulationaged3564years |