title: Gender differences in food-related concerns, beliefs and behaviours of north Queensland adolescents.
abstract: OBJECTIVE
  To describe the beliefs, attitudes, behaviours and knowledge of North Queensland adolescents about food and nutrition.
  
  
  METHODS
  A questionnaire surveyed 791 Year 8 students from private schools.
  
  
  RESULTS
  More girls than boys felt guilt about food, sometimes ate from boredom, reported trying to select foods that were good for them and were concerned about the fat content of food; 30% of boys and 17% of girls thought they should be concerned about their food intake only when overweight. Low daily dietary intakes were reported for bread, fruit, vegetables and dairy products with only 24% eating at least one fruit, one vegetable, one dairy product and one core cereal food daily. Fat and sugar intake was high: 41% students ate high fat savoury foods and 53% ate high sugar foods at least seven times during the week. Parents, television and school provided information about food and nutrition to 70-80% of these students, followed by friends and magazines with doctors and teachers providing information on weight and weight loss to 10% of students.
  
  
  CONCLUSIONS
  Doctors should be aware of the low intake of recommended foods as well as the high intakes of fat and sugar among adolescents and the gender differences in food related beliefs and behaviours when treating nutrition related diseases and providing guidance for their prevention.
authors.affiliation: Department of Public Health and Tropical Medicine, James Cook University of North Queensland, Australia.
authors.forename: M
authors.initials: M
authors.lastname: Nowak
authors.forename: R
authors.initials: R
authors.lastname: Speare
mesh_terms: D000293:Adolescent; D017195:Adolescent Nutritional Physiological Phenomena; D002648:Child; D005247:Feeding Behavior; D005260:Female; D006266:Health Education; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D009749:Nutrition Surveys; D011793:Queensland; D012044:Regression Analysis; D012737:Sex Factors