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Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry

This research relates Burnout Syndrome (BS) with the Body Mass Index (BMI) among middle and senior managers of the Mexican manufacturing industry. Even though BS incidence is high in the Mexican industrial population, few systematic studies have explored BS and its relationship with other health pro...

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Autores principales: Armenta-Hernández, Oziely Daniela, Maldonado-Macías, Aidé, García-Alcaraz, Jorge, Avelar-Sosa, Liliana, Realyvasquez-Vargas, Arturo, Serrano-Rosa, Miguel Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877086/
https://www.ncbi.nlm.nih.gov/pubmed/29562619
http://dx.doi.org/10.3390/ijerph15030541
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author Armenta-Hernández, Oziely Daniela
Maldonado-Macías, Aidé
García-Alcaraz, Jorge
Avelar-Sosa, Liliana
Realyvasquez-Vargas, Arturo
Serrano-Rosa, Miguel Angel
author_facet Armenta-Hernández, Oziely Daniela
Maldonado-Macías, Aidé
García-Alcaraz, Jorge
Avelar-Sosa, Liliana
Realyvasquez-Vargas, Arturo
Serrano-Rosa, Miguel Angel
author_sort Armenta-Hernández, Oziely Daniela
collection PubMed
description This research relates Burnout Syndrome (BS) with the Body Mass Index (BMI) among middle and senior managers of the Mexican manufacturing industry. Even though BS incidence is high in the Mexican industrial population, few systematic studies have explored BS and its relationship with other health problems, such as obesity. The goal of this research is to determine the relationship between BS and the BMI in employees with normal weight, overweight, and obesity. We present three structural equation models to relate BS and the BMI. The BMI ranges were determined according to the parameters (normal weight, overweight, and obesity) proposed by the World Health Organization (WHO). The sample includes 361 employees that voluntarily answered a 31-item questionnaire. We measure the levels of BS using the Maslach Burnout Inventory–General Survey (MBI-GS) and analyze anthropometric and sociodemographic data from the participants. Then, we determine the relationships between the variables through structural equation models and estimate the direct, indirect, and total effects in the three models, which show acceptable reliability. As main findings, the normal weight model has a larger explanatory power than the overweight and obesity models. The same research hypotheses were tested and the effects of BS on the BMI differ across the three models. Such results are presented by taking into account that obesity and overweight require additional factors, such as genetic factors and personal eating habits, to be better explained.
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spelling pubmed-58770862018-04-09 Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry Armenta-Hernández, Oziely Daniela Maldonado-Macías, Aidé García-Alcaraz, Jorge Avelar-Sosa, Liliana Realyvasquez-Vargas, Arturo Serrano-Rosa, Miguel Angel Int J Environ Res Public Health Article This research relates Burnout Syndrome (BS) with the Body Mass Index (BMI) among middle and senior managers of the Mexican manufacturing industry. Even though BS incidence is high in the Mexican industrial population, few systematic studies have explored BS and its relationship with other health problems, such as obesity. The goal of this research is to determine the relationship between BS and the BMI in employees with normal weight, overweight, and obesity. We present three structural equation models to relate BS and the BMI. The BMI ranges were determined according to the parameters (normal weight, overweight, and obesity) proposed by the World Health Organization (WHO). The sample includes 361 employees that voluntarily answered a 31-item questionnaire. We measure the levels of BS using the Maslach Burnout Inventory–General Survey (MBI-GS) and analyze anthropometric and sociodemographic data from the participants. Then, we determine the relationships between the variables through structural equation models and estimate the direct, indirect, and total effects in the three models, which show acceptable reliability. As main findings, the normal weight model has a larger explanatory power than the overweight and obesity models. The same research hypotheses were tested and the effects of BS on the BMI differ across the three models. Such results are presented by taking into account that obesity and overweight require additional factors, such as genetic factors and personal eating habits, to be better explained. MDPI 2018-03-17 2018-03 /pmc/articles/PMC5877086/ /pubmed/29562619 http://dx.doi.org/10.3390/ijerph15030541 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Armenta-Hernández, Oziely Daniela
Maldonado-Macías, Aidé
García-Alcaraz, Jorge
Avelar-Sosa, Liliana
Realyvasquez-Vargas, Arturo
Serrano-Rosa, Miguel Angel
Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title_full Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title_fullStr Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title_full_unstemmed Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title_short Relationship between Burnout and Body Mass Index in Senior and Middle Managers from the Mexican Manufacturing Industry
title_sort relationship between burnout and body mass index in senior and middle managers from the mexican manufacturing industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877086/
https://www.ncbi.nlm.nih.gov/pubmed/29562619
http://dx.doi.org/10.3390/ijerph15030541
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