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A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity

Obesity and its complications is one of the main issues in today’s world and is increasing rapidly. A wide range of non-contagious diseases, for instance, diabetes type 2, cardiovascular, high blood pressure and stroke, numerous types of cancer, and mental health issues are formed following obesity....

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Autores principales: Safaei, Mahmood, A. Sundararajan, Elankovan, Asadi, Shahla, Nilashi, Mehrbakhsh, Ab Aziz, Mohd Juzaiddin, Saravanan, M. S., Abdelhaq, Maha, Alsaqour, Raed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740807/
https://www.ncbi.nlm.nih.gov/pubmed/36497509
http://dx.doi.org/10.3390/ijerph192315432
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author Safaei, Mahmood
A. Sundararajan, Elankovan
Asadi, Shahla
Nilashi, Mehrbakhsh
Ab Aziz, Mohd Juzaiddin
Saravanan, M. S.
Abdelhaq, Maha
Alsaqour, Raed
author_facet Safaei, Mahmood
A. Sundararajan, Elankovan
Asadi, Shahla
Nilashi, Mehrbakhsh
Ab Aziz, Mohd Juzaiddin
Saravanan, M. S.
Abdelhaq, Maha
Alsaqour, Raed
author_sort Safaei, Mahmood
collection PubMed
description Obesity and its complications is one of the main issues in today’s world and is increasing rapidly. A wide range of non-contagious diseases, for instance, diabetes type 2, cardiovascular, high blood pressure and stroke, numerous types of cancer, and mental health issues are formed following obesity. According to the WHO, Malaysia is the sixth Asian country with an adult population suffering from obesity. Therefore, identifying risk factors associated with obesity among Malaysian adults is necessary. For this purpose, this study strives to investigate and assess the risk factors related to obesity and overweight in this country. A quantitative approach was employed by surveying 26 healthcare professionals by questionnaire. Collected data were analyzed with the DEMATEL and Fuzzy Rule-Based methods. We found that lack of physical activity, insufficient sleep, unhealthy diet, genetics, and perceived stress were the most significant risk factors for obesity.
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spelling pubmed-97408072022-12-11 A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity Safaei, Mahmood A. Sundararajan, Elankovan Asadi, Shahla Nilashi, Mehrbakhsh Ab Aziz, Mohd Juzaiddin Saravanan, M. S. Abdelhaq, Maha Alsaqour, Raed Int J Environ Res Public Health Article Obesity and its complications is one of the main issues in today’s world and is increasing rapidly. A wide range of non-contagious diseases, for instance, diabetes type 2, cardiovascular, high blood pressure and stroke, numerous types of cancer, and mental health issues are formed following obesity. According to the WHO, Malaysia is the sixth Asian country with an adult population suffering from obesity. Therefore, identifying risk factors associated with obesity among Malaysian adults is necessary. For this purpose, this study strives to investigate and assess the risk factors related to obesity and overweight in this country. A quantitative approach was employed by surveying 26 healthcare professionals by questionnaire. Collected data were analyzed with the DEMATEL and Fuzzy Rule-Based methods. We found that lack of physical activity, insufficient sleep, unhealthy diet, genetics, and perceived stress were the most significant risk factors for obesity. MDPI 2022-11-22 /pmc/articles/PMC9740807/ /pubmed/36497509 http://dx.doi.org/10.3390/ijerph192315432 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Safaei, Mahmood
A. Sundararajan, Elankovan
Asadi, Shahla
Nilashi, Mehrbakhsh
Ab Aziz, Mohd Juzaiddin
Saravanan, M. S.
Abdelhaq, Maha
Alsaqour, Raed
A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title_full A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title_fullStr A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title_full_unstemmed A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title_short A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
title_sort hybrid mcdm approach based on fuzzy-logic and dematel to evaluate adult obesity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740807/
https://www.ncbi.nlm.nih.gov/pubmed/36497509
http://dx.doi.org/10.3390/ijerph192315432
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