Socio-economic differences in predictors of frequent dairy food consumption among Australian adolescents: a longitudinal study.

OBJECTIVE Sufficient dairy food consumption during adolescence is necessary for preventing disease. While socio-economically disadvantaged adolescents tend to consume few dairy foods, some eat quantities more in line with dietary recommendations despite socio-economic challenges. Socio-economic variations in factors supportive of adolescents' frequent dairy consumption remain unexplored. The present study aimed to identify cross-sectional and longitudinal associations between intrapersonal, social and environmental factors and adolescents' frequent dairy consumption at baseline and two years later across socio-economic strata, and to examine whether socio-economic position moderated observed effects. DESIGN Online surveys completed at baseline (2004-2005) and follow-up (2006-2007) included a thirty-eight-item FFQ and questions based on social ecological models examining intrapersonal, social and environmental dietary influences. SETTING Thirty-seven secondary schools in Victoria, Australia. SUBJECTS Australian adolescents (n 1201) aged 12-15 years, drawn from a sub-sample of 3264 adolescents (response rate=33%). RESULTS While frequent breakfast consumption was cross-sectionally associated with frequent dairy consumption among all adolescents, additional associated factors differed by socio-economic position. Baseline dairy consumption longitudinally predicted consumption at follow-up. No further factors predicted frequent consumption among disadvantaged adolescents, while four additional factors were predictive among advantaged adolescents. Socio-economic position moderated two predictors; infrequently eating dinner alone and never purchasing from school vending machines predicted frequent consumption among advantaged adolescents. CONCLUSIONS Nutrition promotion initiatives aimed at improving adolescents' dairy consumption should employ multifactorial approaches informed by social ecological models and address socio-economic differences in influences on eating behaviours; e.g., selected intrapersonal factors among all adolescents and social factors (e.g., mealtime rules) among advantaged adolescents.