Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation

In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university st...

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Main Authors: Wan Mohamed Radzi, Che Wan Jasimah, Jenatabadi, Hashem Salarzadeh, Alanzi, Ayed R.A., Mokhtar, Mohd Istajib, Mamat, Mohd Zufri, Abdullah, Nor Aishah
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Published: MDPI 2019
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author Wan Mohamed Radzi, Che Wan Jasimah
Jenatabadi, Hashem Salarzadeh
Alanzi, Ayed R.A.
Mokhtar, Mohd Istajib
Mamat, Mohd Zufri
Abdullah, Nor Aishah
author_facet Wan Mohamed Radzi, Che Wan Jasimah
Jenatabadi, Hashem Salarzadeh
Alanzi, Ayed R.A.
Mokhtar, Mohd Istajib
Mamat, Mohd Zufri
Abdullah, Nor Aishah
author_sort Wan Mohamed Radzi, Che Wan Jasimah
collection UM
description In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university students is introduced. The second stage involves data analysis based on Bayesian Structural Equation Modelling (BSEM) for estimating the Body Mass Index (BMI) (representative of the obesity level) of students at three university levels: Bachelor, Master and PhD. In the third stage, the highest significant correlation is determined between the BMI and other variables in the research model that were found significant through the second phase. The data for this study were collected from students at selected Malaysian universities. The results indicate that unhealthy food intake (fast food and soft drinks), social media use and stress exhibit the highest weightage contributing to overweight and obesity issues for Malaysian university students. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling um.eprints-237162020-02-10T07:18:34Z http://eprints.um.edu.my/23716/ Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation Wan Mohamed Radzi, Che Wan Jasimah Jenatabadi, Hashem Salarzadeh Alanzi, Ayed R.A. Mokhtar, Mohd Istajib Mamat, Mohd Zufri Abdullah, Nor Aishah Q Science (General) T Technology (General) In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university students is introduced. The second stage involves data analysis based on Bayesian Structural Equation Modelling (BSEM) for estimating the Body Mass Index (BMI) (representative of the obesity level) of students at three university levels: Bachelor, Master and PhD. In the third stage, the highest significant correlation is determined between the BMI and other variables in the research model that were found significant through the second phase. The data for this study were collected from students at selected Malaysian universities. The results indicate that unhealthy food intake (fast food and soft drinks), social media use and stress exhibit the highest weightage contributing to overweight and obesity issues for Malaysian university students. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. MDPI 2019 Article PeerReviewed Wan Mohamed Radzi, Che Wan Jasimah and Jenatabadi, Hashem Salarzadeh and Alanzi, Ayed R.A. and Mokhtar, Mohd Istajib and Mamat, Mohd Zufri and Abdullah, Nor Aishah (2019) Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation. International Journal of Environmental Research and Public Health, 16 (3). p. 492. ISSN 1660-4601, DOI https://doi.org/10.3390/ijerph16030492 <https://doi.org/10.3390/ijerph16030492>. https://doi.org/10.3390/ijerph16030492 doi:10.3390/ijerph16030492
spellingShingle Q Science (General)
T Technology (General)
Wan Mohamed Radzi, Che Wan Jasimah
Jenatabadi, Hashem Salarzadeh
Alanzi, Ayed R.A.
Mokhtar, Mohd Istajib
Mamat, Mohd Zufri
Abdullah, Nor Aishah
Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title_full Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title_fullStr Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title_full_unstemmed Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title_short Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation
title_sort analysis of obesity among malaysian university students a combination study with the application of bayesian structural equation modelling and pearson correlation
topic Q Science (General)
T Technology (General)
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