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Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia

Introduction: As a tropical country, Indonesia’s climate is hot and humid throughout the year, implicating hot workplace environment and leading to workers’ susceptibility to heat stress exposure. Workers at a steel processing mills exposed to an extremely hot environment are prone to experience hea...

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Main Authors: Nurhartonosuro, Imam Munajat, Md Tamrin, Shamsul Bahri, Mohd Suadi Nata, Dayana Hazwani, Karuppiah, Karmegam, Ng, Yee Guan, Pramudya Ananta, Gede
Format: Article
Language:English
Published: Universiti Putra Malaysia 2023
Online Access:http://psasir.upm.edu.my/id/eprint/109446/1/2023111810021604_2022_1230.pdf
http://psasir.upm.edu.my/id/eprint/109446/
https://medic.upm.edu.my/upload/dokumen/2023111810021604_2022_1230.pdf
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spelling my.upm.eprints.1094462024-12-10T03:05:33Z http://psasir.upm.edu.my/id/eprint/109446/ Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia Nurhartonosuro, Imam Munajat Md Tamrin, Shamsul Bahri Mohd Suadi Nata, Dayana Hazwani Karuppiah, Karmegam Ng, Yee Guan Pramudya Ananta, Gede Introduction: As a tropical country, Indonesia’s climate is hot and humid throughout the year, implicating hot workplace environment and leading to workers’ susceptibility to heat stress exposure. Workers at a steel processing mills exposed to an extremely hot environment are prone to experience heat stress-related symptoms caused by occupational heat stress. Methods: The study aimed to build a predictive model of heat stress-related symptoms in steel mill workers based on physiological and environmental parameters. The respondents of this study were 119 operators exposed to a hot workplace in Surabaya, Sidoarjo, and Gresik, East Java, Indonesia. Results: The result as a high correlation (p<0.05) in predictive between the model Wet Bulb Globe Temperature (WBGT), core body temperature, heart rate and heat stress-related symptoms with R-value of 0.78 or 78. In addition, there is a weak correlation between heat stress symptoms and systolic and diastolic blood pressure, as well as humidity factors and heat stress-related symptoms. Heat stress-related symptoms have a linear correlation with the value of WBGT, body core temperature and heart rate, while body core temperature has the highest value of correlation and WBGT is attributed to the lowest of all to the heat stress-related symptoms. Conclusion: With these values in hand, ones can predict whether workers will be exposed to heat stress work environment. Furthermore, with this model, it can predict heat stress-related symptoms in a particular workplace. Universiti Putra Malaysia 2023-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/109446/1/2023111810021604_2022_1230.pdf Nurhartonosuro, Imam Munajat and Md Tamrin, Shamsul Bahri and Mohd Suadi Nata, Dayana Hazwani and Karuppiah, Karmegam and Ng, Yee Guan and Pramudya Ananta, Gede (2023) Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia. Malaysian Journal of Medicine and Health Sciences, 19 (supp.10). art. no. 10. pp. 32-42. ISSN 2636-9346 https://medic.upm.edu.my/upload/dokumen/2023111810021604_2022_1230.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Introduction: As a tropical country, Indonesia’s climate is hot and humid throughout the year, implicating hot workplace environment and leading to workers’ susceptibility to heat stress exposure. Workers at a steel processing mills exposed to an extremely hot environment are prone to experience heat stress-related symptoms caused by occupational heat stress. Methods: The study aimed to build a predictive model of heat stress-related symptoms in steel mill workers based on physiological and environmental parameters. The respondents of this study were 119 operators exposed to a hot workplace in Surabaya, Sidoarjo, and Gresik, East Java, Indonesia. Results: The result as a high correlation (p<0.05) in predictive between the model Wet Bulb Globe Temperature (WBGT), core body temperature, heart rate and heat stress-related symptoms with R-value of 0.78 or 78. In addition, there is a weak correlation between heat stress symptoms and systolic and diastolic blood pressure, as well as humidity factors and heat stress-related symptoms. Heat stress-related symptoms have a linear correlation with the value of WBGT, body core temperature and heart rate, while body core temperature has the highest value of correlation and WBGT is attributed to the lowest of all to the heat stress-related symptoms. Conclusion: With these values in hand, ones can predict whether workers will be exposed to heat stress work environment. Furthermore, with this model, it can predict heat stress-related symptoms in a particular workplace.
format Article
author Nurhartonosuro, Imam Munajat
Md Tamrin, Shamsul Bahri
Mohd Suadi Nata, Dayana Hazwani
Karuppiah, Karmegam
Ng, Yee Guan
Pramudya Ananta, Gede
spellingShingle Nurhartonosuro, Imam Munajat
Md Tamrin, Shamsul Bahri
Mohd Suadi Nata, Dayana Hazwani
Karuppiah, Karmegam
Ng, Yee Guan
Pramudya Ananta, Gede
Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
author_facet Nurhartonosuro, Imam Munajat
Md Tamrin, Shamsul Bahri
Mohd Suadi Nata, Dayana Hazwani
Karuppiah, Karmegam
Ng, Yee Guan
Pramudya Ananta, Gede
author_sort Nurhartonosuro, Imam Munajat
title Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
title_short Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
title_full Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
title_fullStr Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
title_full_unstemmed Predictive model for heat stress-related symptoms among steel mill workers in East Java, Indonesia
title_sort predictive model for heat stress-related symptoms among steel mill workers in east java, indonesia
publisher Universiti Putra Malaysia
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/109446/1/2023111810021604_2022_1230.pdf
http://psasir.upm.edu.my/id/eprint/109446/
https://medic.upm.edu.my/upload/dokumen/2023111810021604_2022_1230.pdf
_version_ 1818835872833863680
score 13.235799

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