The Overweight Prediction Model in the Risk Factor-based Adolescents Using a Web-based Online Application

Abstract

Background The overweight prevalence rate in Indonesian adolescents has kept increasing. Basic Health Research in Indonesia recorded the overweight prevalence and obese nutritional status (BMI/Age) in adolescents at 18.1%. The overweight nutritional status (BMI/Age) in 2010-2013 among adolescents at the age of 16-18 was 1.4% in 2010 and increased to 7.3% in 2013. Objective This study aims to establish a prediction model for overweight adolescents based on their risk factors to prevent an early overweight. Methods The samples were 300 students from 5 high schools in Padang City, Indonesia. This study applied mixed methods and used a logistic regression test to comprehend the determinant variables in establishing the prediction model and conducting the application tests. Results The research shows the result that these adolescents had the risk factors, namely excessive consumption of carbohydrates and fats, the amount of vegetable consumption was <3 portions/day, physical activity time was <15 minutes/day, and a low level of health knowledge. It was predicted that the odds of being overweight were 82.31%, with accuracy at 95.0%, sensitivity at 93.33%, and specificity at 95.71%. The result showed application design validation by experts at 0.96 and validation of application construction and content by experts at 0.84. The teachers’ response practicality was 92.22%, adolescents’ response practicality was 85.45%, and adolescents’ response effectiveness was 85.05. Conclusion The most dominant risk factors are fat consumption, carbohydrate consumption, amount of vegetable consumption, duration of physical activities, and level of health knowledge that can be considered to prevent overweight in adolescents.