Analyzing the Significant Factors Influencing Obesity of Adolescent Girls through Statistical Methods

Abstract

Objectives: Obesity is an important health issue. It is strongly correlated with numerous risk factors, causing a significant impact on increasing chronic diseases and mortality rates in the current global scale. These risk factors of obesity encompass several challenges. The main objective of our study is to collect primary data of adolescent girls in eight categories to identify a set of risk factors of obesity. Methods:  In this study, the primary data can be collected with a specific focus on anthropometric measures, dietary habits, food frequency, physical activity pattern, non-communicable diseases, health issues, psychosocial behavior and health survey which helps to investigate the relationship between various factors in predicting health outcomes. Statistical methods are used to assess the whole dataset and to investigate the multi-collinearity among the collected dataset by applying Chi-square test, Sampling Adequacy test, Exploratory Factor Analysis and Confirmatory Factor Analysis. Findings: The relationship between the attributes /variable and BMI are identified by using Chi-square test. From the dataset, insignificant and irrelevant attributes are removed. Then, the eight factors are transformed into thirteen factors using Exploratory Factor Analysis and these 13 factors are validated using Confirmatory Factor Analysis. These 13 factors are considered as evidences for the prevalence of overweight and obese. Novelty: The constant focus on the obesity factors of the adolescent age group will further reduce or prevent the obesity occurrences and to improve the healthy lifestyle for the future society.