Quantitative Models for Prediction of Cumulative Trauma Disorders Applied to the Maquiladora Industry

Melissa Airem Cázares-Manríquez, Claudia Camargo-Wilson, Ricardo Vardasca, Jorge Luis García-Alcaraz, Jesús Everardo Olguín-Tiznado, Juan Andrés López-Barreras and Blanca Rosa García-Rivera
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Melissa Airem Cázares-Manríquez: Faculty of Engineering, Arquitecture and Design, Autonomous University of Baja California, Ensenada BC 22860, Mexico
Claudia Camargo-Wilson: Faculty of Engineering, Arquitecture and Design, Autonomous University of Baja California, Ensenada BC 22860, Mexico
Ricardo Vardasca: Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal
Jorge Luis García-Alcaraz: Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juarez, Ciudad Juárez CHIH 32310, Mexico
Jesús Everardo Olguín-Tiznado: Faculty of Engineering, Arquitecture and Design, Autonomous University of Baja California, Ensenada BC 22860, Mexico
Juan Andrés López-Barreras: Faculty of Chemical Sciences and Engineering, Autonomous University of Baja California, Tijuana BC 22390, Mexico
Blanca Rosa García-Rivera: Faculty of Administrative and Social Sciences, Autonomous University of Baja California, Tijuana BC 22390, Mexico

IJERPH, 2021, vol. 18, issue 7, 1-19

Abstract: Temperature gradient changes on the surface of the skin or in the middle of the body are signs of a disease. The aim of this study is to develop quantitative models for the prediction of cumulative trauma disorders (CTDs) arising from highly repetitive activities, considering risk factors, such as age, gender, body mass index (BMI), blood pressure (BP), respiratory rate (RR), and heart rate, to prevent injuries in manufacturing factory operators. This research involved 19 individuals from the area of sanding and 14 individuals from the area of tolex in manufacturing factories who had their vital signs and somatometry taken, as well as thermal images of their hands in the dorsal and palmar areas; an evaluation by the OCRA method was also applied. Factors such as BP and heart rate were determined to significantly influence the injuries, but no strong association with BMI was found. Quadratic regression models were developed, the estimates of which were adequately adjusted to the variable (R 2 and R 2 adjusted > 0.70). When integrating the factors of the OCRA method to the generated models, a better fit was obtained (R 2 and adjusted R 2 > 0.80). In conclusion, the participants who present levels out of the normal range in at least one of the factors have high probabilities of developing injuries in their wrists.

Keywords: age; blood pressure; body mass index; carpal tunnel syndrome; cumulative trauma disorder; heart rate; infrared thermography; respiratory rate; gender (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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