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

Overview

Journal Int J Environ Res Public Health

Publisher MDPI

Specialties Environmental Health
Public Health

Date 2022 Dec 11

PMID 36497509

Authors

Mahmood Safaei

Elankovan A Sundararajan

Shahla Asadi

Mehrbakhsh Nilashi

Mohd Juzaiddin Ab Aziz

M S Saravanan

Maha Abdelhaq

Raed Alsaqour

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

Evaluating COVID-19 infection prevention measures in Malaysia: A fuzzy DEMATEL approach.

Yadegaridehkordi E, Nilashi M, Nizam Bin Md Nasir M, Safie Bin Mohd Satar N, Momtazi S Digit Health. 2023; 9:20552076231211670.

PMID: 38074341 PMC: 10702419. DOI: 10.1177/20552076231211670.

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