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Int J Environ Res Public Health. 2018 Mar 17;15(3). pii: E541. doi: 10.3390/ijerph15030541.

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

Author information

1
Department of Electric and Computational Sciences, Universidad Autónoma de Ciudad Juárez, Del Charro Ave., 450 N., Ciudad Juárez, Chihuahua 32310, México. al164439@alumnos.uacj.mx.
2
Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Del Charro Ave., 450 N., Ciudad Juárez, Chihuahua 32310, México. amaldona@uacj.mx.
3
Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Del Charro Ave., 450 N., Ciudad Juárez, Chihuahua 32310, México. jorge.garcia@uacj.mx.
4
Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Del Charro Ave., 450 N., Ciudad Juárez, Chihuahua 32310, México. liliana.avelar@uacj.mx.
5
Departament of Industrial Engineering, Instituto Tecnológico de Tijuana, Calzada del Tecnológico S/N, Tijuana Baja California 22424, México. arturo.realyvazquez@tectijuana.edu.mx.
6
Departament of Psichology, Universidad de Valencia Av. de Blasco Ibáñez, 13, 46010 Valencia, España. m.angel.serrano@uv.es.

Abstract

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.

KEYWORDS:

BS syndrome; normal weight; obesity; occupational stress; overweight

PMID:
29562619
PMCID:
PMC5877086
DOI:
10.3390/ijerph15030541
[Indexed for MEDLINE]
Free PMC Article

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