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Investigation of Mental Health Condition Among Factory Worker During Covid pandemic–A Cross-Sectional Study

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Proceedings of the 2nd Human Engineering Symposium (HUMENS 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

The coronavirus disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan, China, after a cluster of unusual pneumonia cases. On March 11, 2020, the World Health Organization (WHO) declared the outbreak a pandemic. Many workplaces are affected by work-related psychosocial risks and stress, as well as the adverse health and economic implications. Workers have been challenged, stretched, and tested in ways they have never been before, as have pharmaceutical manufacturing workers’ mental health, as they are responsible for providing optimal medication manufacturing that aids in therapy, treatment, and patient life during COVID-19. This study is to assess the level of depression, anxiety, stress, and associated factors among factory workers during COVID-19. A cross-sectional study was conducted using online surveys to assess workers’ mental health and related factors. The study involves 201 manufacturing workers from various departments. The data were collected using a questionnaire distributed via an online platform. The data collection instrument consists of three parts: (1) sociodemographic, (2) related factors associated with mental health conditions, and (3) the DASS-21 survey. This study found that most workers have normal mental health conditions. Depression and anxiety have a significant correlation with sociodemographic characteristics and organizational factors. Meanwhile, stress has a significant correlation with socioeconomic and organizational aspects. All three mental health conditions have a significant correlation with organizational factors such as working experiences (>6 years) and preparation for workflow management during COVID-19, with p-values of 0.028 and 0.023, respectively. The study’s findings may assist authorities in establishing ways to diagnose mental distress early, thereby reducing mental or psychological disease among factory workers.

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Acknowledgements

Researchers thank for the support of Universiti Malaysia Pahang through research grants of RDU210360.

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Authors and Affiliations

  1. Faculty of Industrial Sciences and Technology, University Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Irna Syahira Hassan & Nur Fazhilah Abdul Razak

  2. Department of Chemical Engineering Technology, Faculty of Engineering Technology, Bachelor of Technology in Occupational Safety & Health (with Hons.), Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia

    Junaidah Zakaria & Ezrin Hani Sukadarin

Authors
  1. Irna Syahira Hassan
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  2. Nur Fazhilah Abdul Razak
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  3. Junaidah Zakaria
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  4. Ezrin Hani Sukadarin
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Corresponding author

Correspondence to Nur Fazhilah Abdul Razak .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia

    Mohd Hasnun Arif Hassan

  2. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia

    Mohd Nadzeri Omar

  3. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia

    Nasrul Hadi Johari

  4. School of Engineering, RMIT University, Melbourne, VIC, Australia

    Yongmin Zhong

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Hassan, I.S., Razak, N.F.A., Zakaria, J., Sukadarin, E.H. (2024). Investigation of Mental Health Condition Among Factory Worker During Covid pandemic–A Cross-Sectional Study. In: Hassan, M.H.A., Omar, M.N., Johari, N.H., Zhong, Y. (eds) Proceedings of the 2nd Human Engineering Symposium. HUMENS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6890-9_12

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  • DOI: https://doi.org/10.1007/978-981-99-6890-9_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6889-3

  • Online ISBN: 978-981-99-6890-9

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