Changes in accessibility and preferences predict children's future fruit and vegetable intake
Background Most children eat fewer fruits and vegetables than recommended. To be able to
design effective interventions, understanding the aetiology of the behaviour is important.
Accessibility and preferences have shown to be strong correlates of fruit and vegetable
intake in several cross-sectional studies. The aim of this study was to identify predictors of
future fruit and vegetable intake and to explore longitudinal patterns of interactions between
accessibility and preferences. Methods Data presented are based on baseline (September …
design effective interventions, understanding the aetiology of the behaviour is important.
Accessibility and preferences have shown to be strong correlates of fruit and vegetable
intake in several cross-sectional studies. The aim of this study was to identify predictors of
future fruit and vegetable intake and to explore longitudinal patterns of interactions between
accessibility and preferences. Methods Data presented are based on baseline (September …
Background
Most children eat fewer fruits and vegetables than recommended. To be able to design effective interventions, understanding the aetiology of the behaviour is important. Accessibility and preferences have shown to be strong correlates of fruit and vegetable intake in several cross-sectional studies. The aim of this study was to identify predictors of future fruit and vegetable intake and to explore longitudinal patterns of interactions between accessibility and preferences.
Methods
Data presented are based on baseline (September 2001) and follow-up (May/June 2002) surveys of 20 control schools in the Norwegian intervention study Fruits and Vegetables Make the Marks. A total of 816 pupils (77%) completed both baseline and follow-up questionnaires. The average age of the sample at baseline was 11.8 years. The research instrument assessing potential predictor variables was guided by Social Cognitive Theory, and included Accessibility at home, Accessibility at school, Modelling, Intention, Preferences, Self-Efficacy and Awareness of the 5-a-day recommendations. Multiple regression analyses were performed.
Results
All independent variables (measured at baseline) were significantly correlated to future fruit and vegetable intake (measured at follow-up). When reported fruit and vegetable intake at baseline (past intake) was included in this model, the effect of the other independent variables diminished. Together with past intake, the observed change in the independent variables from baseline to follow-up explained 43% of the variance in the reported intake at follow-up. Past intake remained the strongest predictor, but changes in accessibility at home and at school, as well as changes in preferences for fruits and vegetables, also explained significant amounts of the variance in fruit and vegetable intake at follow-up. In addition, baseline accessibility was found to moderate the relationship between change in preferences and change in intake.
Conclusion
Change in accessibility and preferences appear to be important predictors of future fruit and vegetable intake among school children. Interventions should focus on strategies to modify these factors.
Springer