Background: Recent studies show negative impact of the use of television while having food on the eating patterns.
Objective and hypotheses: Our goal is to use cluster analysis to evaluate this influence in children.
Method: In 895 Spanish children and adolescents (47% male and 53% female), from 3 to 18 years of age (10.25±2.67 years), a validated food frequency and food consumption habits questionnaire (CFCA) is performed. Three cluster eating patterns based on healthy eating recommendations are established. Each cluster consists on daily consumption of dairy, fruit and vegetables, cereals and olive oil, weekly consumption of meat, eggs, fish and legumes and occasional consumption of sugar, snacks sweet, salty snacks, sugary drinks, processed foods, meats and fats. K-means analysis is performed by using SPSS19 statistical program.
Results: 31.9% (n=188) of children have Cluster 1 (daily: −0.724; weekly: −0.727; sporadic: −0.749) not fulfilling any of the recommendations. 31.8% (n=187) have cluster 2 (daily: 0.248; weekly: −0.380; sporadic: 0.956), applying the recommendations for the consumption of sporadic food but avoiding them in the consumption of weekly food. 36.3% (n=214) have cluster 3 (daily: 0.445; Weekly: 0.936; sporadic: −0.252), applying the recommendations for the consumption of daily and weekly food and avoiding them in the consumption of sporadic food. A higher percentage of children and adolescents who eat in front of the television, have an eating pattern Cluster 1 (43.9 vs 38.6%) and Cluster 3 (25 vs 20.3%) (P=0.043). Both cluster are characterized by non-compliance with the recommendations of food intake sporadic type.
Conclusion: No child or adolescent meets all recommended food consumption daily, weekly and sporadic. Eating in front of the television has a negative influence on dietary patterns, especially when consuming sporadic food. Cluster analysis is a good tool for establishing food strategies both for intervention and prevention.
10 - 12 Sep 2016
European Society for Paediatric Endocrinology