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Articles

Predictors of mental health and fatigue among isolated oil and gas workers

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Pages 80-98 | Received 23 Mar 2020, Accepted 24 Nov 2020, Published online: 13 Jan 2021
 

Abstract

Work in the oil and gas industry presents dangers and challenges because it is usually undertaken in remote locations and difficult geographical environments. Site and field remoteness could be significant for oil and gas workers, in terms of their mental health and fatigue levels. The purpose of this study was to identify the predictors of mental health and fatigue levels among oil and gas workers in isolated areas by measuring their levels of anxiety, depression, physical fatigue and mental fatigue. A cross-sectional study with data were collected during a 3-month period (from October 2018 to December 2018). Regression analyses, carried out on 387 responses, were used to identify predictors of mental health and fatigue levels. Results indicate that extended separation from family, friends and home country and marital status were major predictors of workers’ mental health and fatigue levels. Given this finding, companies in this sector need to focus on enhancing workers’ mental health and alleviating fatigue. Encouraging social capital between workers and providing the option of digital, social contact with their families can ensure that workers do not feel lonely or socially isolated. It is also recommended that companies facilitate a worker’s return home in the event of an emergency.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Anwar S. Alroomi

Anwar S. Alroomi is a PhD Candidate at the School of Engineering and Built Environment, Griffith University. His research interest includes workplace health and safety management.

Sherif Mohamed

Professor Sherif Mohamed is the Head of School of Engineering and Built Environment at Griffith University. His research expertise includes project management, project planning, risk analysis and management, project leadership and implementation of process & performance improvement initiatives.

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