The Mediating Effect of Fatigue on Work-Life Balance and Positive Well-Being in Railway Staff

Fan, Jialin; Smith, Andrew Paul

doi:10.4236/jss.2018.66001

Cited by 19 publications

(11 citation statements)

References 15 publications

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“…Overall, this pattern of the results confirms the utility of the Student WPQ and suggests that it can be used in either its full or short form. Similar results have been obtained with other measures of wellbeing based on the wellbeing process model [12][13][14][15][16][17][18][19].…”

Section: Resultssupporting

confidence: 85%

The Microstructure of the Student Wellbeing Process Questionnaire

Smith¹,

Firman²

2020

JESBS

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Background: The wellbeing process model formed the basis of questionnaires that can demonstrate which factors predict negative and positive wellbeing outcomes. The Student Wellbeing Process Questionnaire (Student WPQ) uses stressor, negative coping, psychological capital and social support scales to predict positive and negative wellbeing outcomes. Aims: The usual method of scoring the WPQ has been to sum relevant questions in each scale. The aim of the present analyses was to investigate the microstructure of the WPQ and examine the profile of individual predictor and outcome items. Methodology: The research was approved by the ethics committee, School of Psychology, Cardiff University, and carried out with the informed consent of the volunteers (1481 psychology undergraduates; 89.4% female; 49.7% year 1; mean age 19.5 years). An online survey was carried out, and a MANOVA was conducted to examine associations between the wellbeing process predictor variables and the wellbeing outcomes. Results: A multivariate analysis of variance showed that the majority of individual predictors had significant overall effects. Some of the predictors (optimism; self-esteem, developmental challenges; time pressure; avoidance coping) had significant effects on all outcomes, which explains the global effects of the positive personality and stressor composite variables. Negative coping variables had significant effects on all negative outcomes. Other variables had selective effects on specific outcome measures. Conclusion: The independent variables from the student wellbeing questionnaire are good predictors of both positive and negative wellbeing outcomes. This is observed when either individual items or composite scores are used in the analysis.

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Section: Resultssupporting

confidence: 85%

The Microstructure of the Student Wellbeing Process Questionnaire

Smith¹,

Firman²

2020

JESBS

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“…It proposed that the subjective appraisal of fatigue could mediate the relationship between the environment and the outcomes. A recent study (Fan and Smith, in press ) has found such a mediating effect of fatigue. Although this model also suggested that individual differences may moderate the relationships between environment, fatigue and outcomes, this a moderating effect was not found in subsequent studies (e.g., Capasso et al, 2016 ).…”

Section: Introductionmentioning

confidence: 87%

A Preliminary Review of Fatigue Among Rail Staff

Fan

Smith

2018

Front. Psychol.

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Background: Fatigue is a severe problem in the rail industry, which may jeopardize train crew's health and safety. Nonetheless, a preliminary review of all empirical evidence for train crew fatigue is still lacking. The aim of the present paper is, therefore, to provide a preliminary description of occupational fatigue in the rail industry. This paper reviews the literature with the research question examining the risk factors associated with train crew fatigue, covering both papers published in refereed journals and reports from trade organizations and regulators. It assesses the progress of research on railway fatigue, including research on the main risk factors for railway fatigue, the association between fatigue and railway incidents, and how to better manage fatigue in the railway industry.Methods: Systematic searches were performed in both science and industry databases. The searches considered studies published before August 2017. The main exclusion criterion was fatigue not being directly measured through subjective or objective methods.Results: A total of 31 studies were included in the main review. The causes of fatigue included long working hours, heavy workload, early morning or night shifts, and insufficient sleep. Poor working environment, particular job roles, and individual differences also contributed to fatigue.Conclusion: Fatigue in the rail industry includes most of the features of occupational fatigue, and it is also subject to industry-specific factors. The effect of fatigue on well-being and the fatigued population in the railway industry are still not clear. Future studies can consider associations between occupational risk factors and perceived fatigue by examining the prevalence of fatigue and identifying the potential risk factors in staff within the railway industry.

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“…The data were transferred to the IBM SPSS version 27 statistical package for analysis. The survey included questions about working away strategies, quality of working life, and the Smith Well-being Questionnaire [SWELL, [20][21][22]. Initial analyses examined the factor structure of working away strategies, quality of working life, and the well-being outcomes.…”

Section: Methodsmentioning

confidence: 99%

“…Negative factors such as job demands and negative coping strongly predict stress, anxiety and depression, whereas the absence of positive factors may have a smaller association with these negative outcomes. Health and safety outcomes (e.g., work efficiency; absenteeism, presenteeism and accidents) were also added, as were questions about a healthy lifestyle (the Smith Well-being Questionnaire, SWELL, [19][20][21].…”

Section: The Well-being Process Modelsmentioning

confidence: 99%

Working Away from Home, Coping Strategies, Quality of Working Life, Well-being and Performance

Smith

2021

JESBS

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Background: There has been recent interest in the problems associated with studying or working away from home. A recent model of “working away” describes appropriate coping strategies across the time course from preparing to leave home for work, adapting to work away and returning home from work. Support for this model has come from studies of international students, and the aim of the present study was to extend this to workers from Asia who work in the service industry in the Middle East. Aims: The study aimed to examine associations between working away strategies and quality of working life, well-being and performance efficiency. Established predictors of these outcomes were statistically controlled. Methodology: The research was carried out with the approval of the School of Psychology, Cardiff University, ethics committee and the informed consent of the participants (N=216; mean age = 38.3 years s.d. = 9.2). An online survey was carried out, and regressions were used to examine associations between the working away strategies and the outcomes. Results: Working away strategies were significantly associated with better quality of working life, more positive well-being and better performance. An unexpected result was that these strategies were also associated with more negative well-being. This possibly reflects negative factors leading to the use of working away strategies, which subsequently lead to positive outcomes. Conclusion: The results of this study confirm earlier research that shows associations between working away strategies and quality of working life, positive well-being and performance efficiency. The use of these strategies may initially be related to underlying stress, and their subsequent use then leads to beneficial outcomes.

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The Mediating Effect of Fatigue on Work-Life Balance and Positive Well-Being in Railway Staff

Cited by 19 publications

References 15 publications

The Microstructure of the Student Wellbeing Process Questionnaire

The Microstructure of the Student Wellbeing Process Questionnaire

A Preliminary Review of Fatigue Among Rail Staff

Working Away from Home, Coping Strategies, Quality of Working Life, Well-being and Performance

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