title: Differential effects of the computer-tailored FATaintPHAT programme on dietary behaviours according to sociodemographic, cognitive and home environmental factors.
abstract: OBJECTIVE
  To explore whether the effects on dietary behaviours of a computer-tailored intervention aimed to prevent excessive weight gain among adolescents, FATaintPHAT, were moderated by sociodemographic, cognitive and home environmental factors.
  
  
  METHODS
  A two-group cluster randomized trial. Potential moderation of the outcome measures (consumption of sugar-sweetened beverages, snacks, fruits and vegetables) was studied by gender, education level, ethnicity, awareness of risk behaviour, intention and home availability.
  
  
  METHODS
  Twenty schools in the Netherlands.
  
  
  METHODS
  Students (n 883) aged 12-13 years.
  
  
  RESULTS
  Of the twenty-four interactions tested, only three were significant. The intervention effect on sugar-sweetened beverages was moderated by level of education (P = 0·009); intervention effects were found only among academic preparatory students. The intervention effects on fruit and vegetable intake were moderated by awareness of fruit intake (P < 0·001) and home availability of vegetables (P = 0·007); an effect on fruit intake was found only among students who were aware of their low fruit intake at baseline and an effect on vegetable consumption was found only among students who reported that vegetables were always available at their home.
  
  
  CONCLUSIONS
  The effects of the intervention generally did not differ between sociodemographic subgroups. The moderation by home availability illustrates that the environment may influence the effects of educational interventions.
authors.affiliation: 1 Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
authors.forename: Nicole P M
authors.initials: NP
authors.lastname: Ezendam
authors.forename: Johannes
authors.initials: J
authors.lastname: Brug
authors.affiliation: 3 EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands.
authors.forename: Johannes
authors.initials: J
authors.lastname: Burg
authors.affiliation: 1 Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
authors.forename: Gerard
authors.initials: G
authors.lastname: Borsboom
authors.affiliation: 4 TNO Life Style, Leiden, The Netherlands.
authors.forename: Pepijn
authors.initials: P
authors.lastname: van Empelen
authors.affiliation: 5 Department of Health Education and Promotion, Maastricht University, Maastricht, The Netherlands.
authors.forename: Anke
authors.initials: A
authors.lastname: Oenema
mesh_terms: D000293:Adolescent; D001628:Beverages / Q000032:analysis; D001835:Body Weight; D002648:Child; D016000:Cluster Analysis; D003071:Cognition; D004032:Diet; D004777:Environment; D005247:Feeding Behavior; D005260:Female; D005638:Fruit; D006266:Health Education; D006801:Humans; D008297:Male; D009426:Netherlands; D012574:Schools; D062410:Snacks; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D013549:Sweetening Agents / Q000008:administration & dosage / Q000032:analysis; D014675:Vegetables; D015430:Weight Gain
chemical_list: D013549:Sweetening Agents