title: Dietary patterns in six european populations: results from EURALIM, a collaborative European data harmonization and information campaign.
abstract: OBJECTIVE
  To determine and describe the extent to which European dietary data collected in disparate surveys can be meaningfully compared.
  
  
  METHODS
  Seven independent population-based surveys from six European countries were initially included. Differences in study designs and methodological approaches were examined. Risk factor data for 31,289 adults aged 40-59 y were harmonized and pooled in a common, centralized database.
  
  
  RESULTS
  Direct comparisons of dietary measures across studies were not deemed appropriate due to methodological heterogeneity. Nonetheless, comparisons of intra-population contrasts by gender across sites were considered valid. Women consumed fruit and vegetables more often than men. Age-standardized gender differences in the prevalence of low fruit and vegetable consumption ranged from 7 to 18% and 5 to 15%, respectively. Data on energy intake showed good agreement across study populations. The proportion of total energy from macronutrients was similar for women and men. Gender differences for relative intakes of saturated fatty acids (percentage energy) were small and only in France were they significant. Dietary fibre density was significantly higher in women than in men. Overall, the participating Southern European populations from Italy and Spain exhibited more healthful food composition patterns.
  
  
  CONCLUSIONS
  Contrasts in dietary patterns by gender across populations may provide the basis for health promotion campaigns. The most favourable patterns observed may serve as attainable goals for other populations. An international risk factor surveillance programme based upon locally run, good quality studies has the potential to provide the needed data.
  
  
  BACKGROUND
  European Community (DG V), project 96CVVF3-446-0; Swiss Federal Office for Education and Science, OFES 96.0089.
authors.affiliation: Division of Clinical Epidemiology, University Hospitals of Geneva, Switzerland.
authors.forename: S
authors.initials: S
authors.lastname: Beer-Borst
authors.forename: S
authors.initials: S
authors.lastname: Hercberg
authors.forename: A
authors.initials: A
authors.lastname: Morabia
authors.forename: M S
authors.initials: MS
authors.lastname: Bernstein
authors.forename: P
authors.initials: P
authors.lastname: Galan
authors.forename: R
authors.initials: R
authors.lastname: Galasso
authors.forename: S
authors.initials: S
authors.lastname: Giampaoli
authors.forename: E
authors.initials: E
authors.lastname: McCrum
authors.forename: S
authors.initials: S
authors.lastname: Panico
authors.forename: P
authors.initials: P
authors.lastname: Preziosi
authors.forename: L
authors.initials: L
authors.lastname: Ribas
authors.forename: L
authors.initials: L
authors.lastname: Serra-Majem
authors.forename: M F
authors.initials: MF
authors.lastname: Vescio
authors.forename: O
authors.initials: O
authors.lastname: Vitek
authors.forename: J
authors.initials: J
authors.lastname: Yarnell
authors.forename: M E
authors.initials: ME
authors.lastname: Northridge
mesh_terms: D000328:Adult; D004032:Diet; D004034:Diet Surveys; D004041:Dietary Fats / Q000008:administration & dosage; D004043:Dietary Fiber / Q000008:administration & dosage; D002149:Energy Intake; D005060:Europe; D005247:Feeding Behavior; D005260:Female; D005638:Fruit; D006801:Humans; D008297:Male; D008875:Middle Aged; D009747:Nutritional Physiological Phenomena; D012107:Research Design; D014675:Vegetables
chemical_list: D004041:Dietary Fats; D004043:Dietary Fiber