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Dietary patterns of French adults: associations with demographic, socio-economic and behavioural factors
Auteur(s) : Bertin, M. Touvier, M. Dubuisson, C. Dufour, A. Havard, S. Lafay, L. Volatier, J.-L. Lioret, S
Auteurs secondaires : Agence Nationale de Sécurité Sanitaire, de l'Alimentation, de l'environnement et du Travail (ANSES) ; ANSES Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) Unité de Recherche en Epidémiologie Nutritionnelle (UREN) ; Université Paris 13 (UP13) - Institut National de la Recherche Agronomique (INRA) - Conservatoire National des Arts et Métiers [CNAM] (CNAM) - Université Sorbonne Paris Cité (USPC) - Institut National de la Santé et de la Recherche Médicale (INSERM) Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A 1125)) ; Institut National de la Recherche Agronomique (INRA) - Université Sorbonne Paris Cité (USPC) - Institut National de la Santé et de la Recherche Médicale (INSERM)

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
Background Although the French eating model may differ from those of other countries, no studies to date have investigated dietary patterns in a wide age range of adults and at the national level. We aimed to identify dietary patterns (DP) of French adults and assess their associations with demographic, socio-economic and behavioural factors. Methods The present study included 2624 adults (1087 men, 1537 women) aged 18–79 years from the cross-sectional national French INCA2 dietary survey. Dietary data were collected using a 7-day estimated food record. Clusters of DP were derived using principal component analysis and clustering, conjointly. Age-adjusted logistic regression analyses were used to investigate the association between DP and correlates. Results Five DP were identified, namely ‘traditional’, ‘prudent’, ‘diversified’, ‘processed’ and ‘sandwiches’. Men were more likely to follow a traditional diet and women the ‘prudent’ pattern. Members of the ‘processed’ and ‘sandwiches’ patterns were younger compared to non-members. Healthier dietary patterns were overall positively associated with a higher socio-economic position, healthier behaviours (in terms of sedentary behaviours and smoking status) and lower body mass index. Under-reporting of energy intake, restrictive diet to lose weight and dietary supplement consumption were also related to specific DP, although differentially in men and women. Associations with contextual factors (i.e. household composition, agglomeration size and region) were also observed. Conclusions The identification of adults’ dietary patterns and associated behaviours (all modifiable) is important for the conceptualisation of multi-behavioural programs. The additional information on social and environmental correlates is also essential for targeting the most vulnerable population groups in the context of such public health interventions
ISSN: 0952-3871

hal-01299975
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01299975
DOI : 10.1111/jhn.12315
PUBMED : 25233099

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