The Effect Of Nutritional Education On Adolescent Fruit Vegetable Eating Patterns, Based On Planned Behavior Theory

Abstract

Background: Consumption of fruit and vegetables in all countries is still below the recommended level, and the figure continues to decline (Vereecken et al., 2015) (Colapinto, Graham, and St-pierre, 2018). The population of Indonesia, especially teenagers, is also the same; most of the consumption of vegetables and fruit is still not enough. Nutrition education interventions to increase adolescent fruit vegetable consumption are rarely implemented, especially in Indonesia. Based on this, this study was conductedto examine the effect of nutrition education interventions with videos on fruit vegetable eating patterns, nutritional knowledge, and stages of behavior change based on the theory of planned behavior.
Methods: A total of 72 students from SMAN 2 Gorontalo Regency were selected as samples in this study. The form of quasi-experimental design used is the Time series design. This research design uses only one group and does not require a control group. Sample selection using a purposive sampling technique. The intervention was carried out for ten consecutive weeks by distributing videos of fruit vegetable consumption every week.
Results: At the end of ten weeks of intervention, 55 teenagers had followed the education stage, the remaining 11 dropped out. Age distribution of adolescents between 15-18 years. The results of the analysis of the paired sample t-test variables for eating vegetables and fruits (p=0.015), nutritional knowledge (p=0.00), attitudes (p=0.00), subjective norms (p=0.00), behavioral control (p=0.00). = 0.00), and intentions (p = 0.01) of fruit vegetable consumption behavior before and after the intervention there were differences with p <0.05. To see the effectiveness of watching frequency, an ANOVA test analysis was carried out on all variables, and the results showed that there was a relationship between nutritional knowledge (p=0.024), attitude (p-0.032), subjective norm (p=0.034), and intention (p=0.41) after an intervention. Furthermore, the pattern of eating vegetables and fruit and behavioral control after the intervention was not related to the frequency of watching videos (p = 0.87 and p = 0.185).
Conclusion: Teenagers' nutrition education in videos is more effective and easy to understand to increase nutritional knowledge and change adolescent diets, especially fruit vegetables. However, teenage fruit vegetable consumption is still highly dependent on food availability, especially at the household level.