Prevalence, pattern and predictors of work-related musculoskeletal disorders among oil workers in Nigeria

Omojunikanbi, Oluwagbejami Alfred; Akinpelu, Aderonke O.; Ekechukwu, Echezona Nelson Dominic

doi:10.3233/wor-205005

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…Workers in the mining, oil and gas extraction industries appear to have worse chronic health conditions than the general working population until retirement ( Robinson et al, 2021 ), and we have found similar phenomena in our study, which deserve further attention. In Nigeria, where oil is the mainstay of the industry, almost all oil workers suffer from work-related musculoskeletal disorders ( Omojunikanbi et al, 2022 ). It is recommended that health management training and occupational assessment programs be provided for workers in specialized industries.…”

Section: Discussionmentioning

confidence: 99%

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Liu

et al. 2022

Front. Psychol.

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ObjectivesUse Bayes statistical methods to analyze the factors related to the working ability of petroleum workers in China and establish a predictive model for prediction so as to provide a reference for improving the working ability of petroleum workers.Materials and methodsThe data come from the health questionnaire database of petroleum workers in the Karamay region, Xinjiang, China. The database contains the results of a health questionnaire survey conducted with 4,259 petroleum workers. We established an unsupervised Bayesian network, using Node-Force to analyze the dependencies between influencing factors, and established a supervised Bayesian network, using mutual information analysis methods (MI) to influence factors of oil workers’ work ability. We used the Bayesian target interpretation tree model to observe changes in the probability distribution of work ability classification under different conditions of important influencing factors. In addition, we established the Tree Augmented Naïve Bayes (TAN) prediction model to improve work ability, make predictions, and conduct an evaluation.Results(1) The unsupervised Bayesian network shows that there is a direct relationship between shoulder and neck musculoskeletal diseases, anxiety, working age, and work ability, (2) The supervised Bayesian network shows that anxiety, depression, shoulder and neck musculoskeletal diseases (Musculoskeletal Disorders, MSDs), low back musculoskeletal disorders (Musculoskeletal Disorders, MSDs), working years, age, occupational stress, and hypertension are relatively important factors that affect work ability. Other factors have a relative impact on work ability but are less important.ConclusionAnxiety, depression, shoulder and neck MSDs, waist and back MSDs, and length of service are important influencing factors of work ability. The Tree Augmented Naïve Bayes prediction model has general performance in predicting workers’ work ability, and the Bayesian model needs to be deepened in subsequent research and a more appropriate forecasting method should be chosen.

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Section: Discussionmentioning

confidence: 99%

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Liu

et al. 2022

Front. Psychol.

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“…Musculoskeletal disorders can cause increased absenteeism, costs, and injuries. Data suggests that approximately nine in every ten oil workers in Nigeria have Musculoskeletal disorders [37]. When working for lengthy periods, workers inhale and are exposed to more organic solvents, which exacerbate the adverse symptoms.…”

Section: Work-related Health Problemsmentioning

confidence: 99%

Occupational fatigue and health of gas station workers: A review

Yin

Tan

Fan

2023

WOR

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BACKGROUND: Occupational health factors such as shift work, sleep, fatigue, and work environment jeopardise the health and safety of gas station workers. This calls for new research to investigate how the working environment and characteristics impact the occupational health of workers at gas stations. However, minimal research has been conducted in this field, especially those involving psychological and behavioural factors, occupational stress, and so forth. OBJECTIVE: This review was performed to investigate the present condition of the occupational risk of gas station workers in this safety-critical position. METHODS: Five databases (Web of Science, ScienceDirect, PubMed, Google Scholar, and PsycINFO) were searched for relevant peer-reviewed studies. Results were selected according to these criteria: studies on fatigue, shift work, sleep, and physical and mental health of gas station employees; published on or before November 11, 2021; papers in English. RESULTS: Twenty studies were considered for the final analysis. The results showed that shift work at gas stations leads to psychological and physiological problems. The psychological consequences included anxiety, stress, and depression, while the physiological consequences included biochemical changes and lifestyle consequences. CONCLUSION: Shift work and the specific working environment of gas station employees adversely affect their sleep, stress levels, physical and mental health, and turnover intention. This systematic review allowed us to consider the occupational risk factors that can lead to sickness or accidents and contribute to reducing these risk factors. Realistic countermeasures ought to be established and interventions must be explored to mitigate risks to life, property, and the environment in operating gas stations.

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“…And according to the 2020/21 Labour Force Survey (LFS) of the United Kingdom, 470,000 workers are suffering from WMSDs -new or long-standing [3]; the occurrence and pattern of WMSDs in the United Kingdom are as shown in Figure 1. In Nigeria, WMSDs are especially prevalent in certain occupational sectors and industries such as transportation, warehousing, manufacturing/petroleum industry, health care, Communication services, Butchers, agriculture, and construction services [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Other risk factors include, lack of influence or control over one's job, increase pressure (e.g., to produce more), lack of or poor communication, monotonous tasks, and perception of low support (e.g., management or co-workers). Furthermore, MSDs have been reported to be associated with reduced work ability, and decreased productivity among workers, across working populations [4,[7][8][9][12][13][14]. According to the Bureau of Labour Statistics of the Department of Labour, MSDs is the diseases and/or disorders of the musculoskeletal system, and connective tissue, when the event or exposure leading to the case is bodily reaction (e.g., bending, climbing, crawling, reaching, twisting), overexertion, or repetitive motion [15].…”

Section: Introductionmentioning

confidence: 99%

Musculoskeletal Disorders, Workplace Ergonomics and Injury Prevention

Odebiyi¹,

Okafor²

2023

Ergonomics - New Insights

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Musculoskeletal Disorders (MSDs) affect body parts, with severity ranging from mild to intense. When MSDs develop in occupational settings, sequel to the physical tasks involved in the performance of work and the condition of the work-environment, they are referred to as work-related musculoskeletal disorders (WMSDs). The development and prognosis of any particular MSDs are modified by multiple risk factors, which are physical, individual, and psychosocial, in nature. None of these factors act separately to cause WMSDs, rather, they interact. The goal of ergonomics is to create an ergonomically sound work-environment, with the view to reducing the occurrence of WMSDs. This is premised on adherence to effective workplace ergonomic principles (WEP). By and large, WEP is more effective when done both at the workplace and during the performance of leisure time activities. Often, WEP involves designing the workplace, with consideration for the capabilities and limitations of the workers, thus promoting good musculoskeletal health, and improving performance and productivity. For favorable outcomes, a three-tier hierarchy of controls (Engineering, Administrative, and use of Personal Protective Equipment) is widely accepted as a standard intervention strategy for reducing, eliminating, or controlling workplace hazards. Failure of this strategy will expose workers to WMSDs.

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Prevalence, pattern and predictors of work-related musculoskeletal disorders among oil workers in Nigeria

Cited by 6 publications

References 33 publications

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Occupational fatigue and health of gas station workers: A review

Musculoskeletal Disorders, Workplace Ergonomics and Injury Prevention

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