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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
Format:	Article
Published:	MDPI 2019
Subjects:	Q Science (General) T Technology (General)
Online Access:	http://eprints.um.edu.my/23716/ https://doi.org/10.3390/ijerph16030492
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id	my.um.eprints.23716
record_format	eprints
spelling	my.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 https://doi.org/10.3390/ijerph16030492 doi:10.3390/ijerph16030492
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	Q Science (General) T Technology (General)
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
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.
format	Article
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
title	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_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_sort	analysis of obesity among malaysian university students: a combination study with the application of bayesian structural equation modelling and pearson correlation
publisher	MDPI
publishDate	2019
url	http://eprints.um.edu.my/23716/ https://doi.org/10.3390/ijerph16030492
_version_	1662755169733967872
score	13.211869

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

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