Understanding the correlates of adolescents' dietary intake patterns. A multivariate analysis.
We investigated dietary intake patterns (DIP) in adolescents (14-18 year-olds) and the association with demographic and socioeconomic characteristics and lifestyle variables. This school-based survey was carried out among high school students from the city of Maringá in the state of Paraná (PR), Brazil (2007). The sample included 991 students (54.5% girls) from high schools. DIPs were investigated by the frequency of weekly consumption of each food group: vegetables, fruit, rice, beans, fried food, sweet food, milk, soda, meat, eggs, alcoholic drinks. Independent variables were: demographic and socioeconomic characteristics and lifestyle variables. DIPs were identified using principal component analysis with orthogonal rotation (varimax). Three components were extracted. Component 1 (fried foods, sweets and soft drinks) was positively associated with not having breakfast for girls and dinner for boys. Moreover, component 2 (consumption of fruit and vegetables) was positively associated with having breakfast at home for boys and number of meals for girls. Component 3 (beans, eggs and meat) was positively associated with having lunch, employment and sedentary behavior level for girls. However, it was negatively associated with having lunch and dinner for boys. Adolescents who have healthier eating patterns also had other healthier behaviors regardless of gender. However, factors associated with dietary patterns differ between boys and girls.
School of Medicine of the University of São Paulo, Department of Pediatric, Children Institute. Rua: Abadia dos Dourados, n° 307-7, Butantã, 05586-030 São Paulo - SP, Brazil. moraes82@yahoo.com.br
Augusto César Ferreira
AC
de Moraes
Fernando
F
Adami
Mário Cícero
MC
Falcão
D000293:Adolescent; D000294:Adolescent Behavior; D001938:Brazil; D004032:Diet; D004651:Employment; D015444:Exercise; D005247:Feeding Behavior; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D012574:Schools; D057185:Sedentary Behavior; D012737:Sex Factors