title: Association of perception of front-of-pack labels with dietary, lifestyle and health characteristics.
abstract: OBJECTIVE
  To identify patterns of perception of front-of-pack (FOP) nutrition labels and determine dietary, lifestyle and health profiles related to such patterns.
  
  
  METHODS
  Cross-sectional.
  
  
  METHODS
  28,952 French adults participating in the web-based Nutrinet-Santé cohort.
  
  
  METHODS
  Perception was measured using indicators of understanding and acceptability for three simple FOP labels ("green tick", the logo of the French Nutrition and Health Program and "simple traffic lights" (STL)), and two detailed FOP formats ("multiple traffic lights" (MTL) and "color range" logo (CR)), placed on ready-to-eat soup packages. Dietary intake data were collected using three web-based 24 h records.
  
  
  METHODS
  Associations of perception patterns with individual characteristics, including diet, lifestyle and health status, were examined using analysis of covariance and logistic regression, adjusted for socio-demographic and economic factors.
  
  
  RESULTS
  No clear trend emerged concerning differences in dietary intake between perception groups. Low physical activity and obesity were more frequent in the 'favorable to STL' group (respectively, 20.7% and 10.7%). The 'favorable to MTL' group included the highest percentage of individuals who declared type 2 diabetes (2.2%). Persons with hypertension were proportionally more numerous in the 'favorable to MTL' and the 'favorable to CR logo' groups (respectively, 9.5% and 9.3%).
  
  
  CONCLUSIONS
  After adjustment for socio-demographic and economic factors, no FOP label stood out as being more suitable than another for reaching populations with poor diet. However, both STL and MTL may be most appropriate for increasing awareness of healthy eating among groups at higher risk of nutrition-related chronic diseases.
authors.affiliation: Université Paris 13, Sorbonne Paris Cité, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, Inserm U1153, Inra U1125, Cnam, Université Paris 5, Université Paris 7, Bobigny, France.
authors.forename: Caroline
authors.initials: C
authors.lastname: Méjean
authors.affiliation: Université Paris 13, Sorbonne Paris Cité, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, Inserm U1153, Inra U1125, Cnam, Université Paris 5, Université Paris 7, Bobigny, France.
authors.forename: Pauline
authors.initials: P
authors.lastname: Macouillard
authors.affiliation: Université Paris 13, Sorbonne Paris Cité, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, Inserm U1153, Inra U1125, Cnam, Université Paris 5, Université Paris 7, Bobigny, France.
authors.forename: Sandrine
authors.initials: S
authors.lastname: Péneau
authors.affiliation: Université Paris 13, Sorbonne Paris Cité, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, Inserm U1153, Inra U1125, Cnam, Université Paris 5, Université Paris 7, Bobigny, France.
authors.forename: Camille
authors.initials: C
authors.lastname: Lassale
authors.affiliation: Université Paris 13, Sorbonne Paris Cité, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, Inserm U1153, Inra U1125, Cnam, Université Paris 5, Université Paris 7, Bobigny, France; Unité de surveillance et d'épidémiologie nutritionnelle (USEN), Université Paris 13, Sorbonne Paris Cité, Centre de Recherche en Epidémiologie et Biostatistiques, Bobigny, France; Department of Public Health, Hôpital Avicenne, Bobigny, France.
authors.forename: Serge
authors.initials: S
authors.lastname: Hercberg
authors.affiliation: Unité de surveillance et d'épidémiologie nutritionnelle (USEN), Université Paris 13, Sorbonne Paris Cité, Centre de Recherche en Epidémiologie et Biostatistiques, Bobigny, France; Institut de veille sanitaire (InVS), Département maladies chroniques et traumatisme, Unité de surveillance et d'épidémiologie nutritionnelle (USEN), Saint-Maurice, France.
authors.forename: Katia
authors.initials: K
authors.lastname: Castetbon
mesh_terms: D000328:Adult; D016000:Cluster Analysis; D004032:Diet; D005515:Food Labeling; D006262:Health; D006801:Humans; D008019:Life Style; D010363:Pattern Recognition, Automated; D010465:Perception; D011795:Surveys and Questionnaires