Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling

Background: Seafarers are amongst occupational groups with the highest risk for stress, a factor known to impact on mental health. Psychological issues such as depression, anxiety, suicide, and alcohol or drug dependence are recognized health problems within the maritime sector. The primary aim of t...

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Main Authors: Joanne McVeigh, Malcolm MacLachlan, Frédérique Vallières, Philip Hyland, Rudiger Stilz, Henriette Cox, Alistair Fraser
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.00070/full
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spelling doaj-e5649a5efc844dbd89eb071c4dcd2b4e2020-11-24T23:56:10ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-02-011010.3389/fpsyg.2019.00070421720Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation ModelingJoanne McVeigh0Joanne McVeigh1Malcolm MacLachlan2Malcolm MacLachlan3Malcolm MacLachlan4Malcolm MacLachlan5Frédérique Vallières6Frédérique Vallières7Philip Hyland8Philip Hyland9Rudiger Stilz10Henriette Cox11Alistair Fraser12Department of Psychology, Maynooth University, Maynooth, IrelandAssisting Living and Learning (ALL) Institute, Maynooth University, Maynooth, IrelandDepartment of Psychology, Maynooth University, Maynooth, IrelandAssisting Living and Learning (ALL) Institute, Maynooth University, Maynooth, IrelandCentre for Rehabilitation Studies, Stellenbosch University, Cape Town, South AfricaOlomouc University Social Health Institute, Palacký University, Olomouc, CzechiaCentre for Global Health, Trinity College Dublin, Dublin, IrelandSchool of Psychology, Trinity College Dublin, Dublin, IrelandDepartment of Psychology, Maynooth University, Maynooth, IrelandCentre for Global Health, Trinity College Dublin, Dublin, IrelandShell Health, London, United KingdomShell International Trading and Shipping Company Limited, London, United KingdomShell Health, London, United KingdomBackground: Seafarers are amongst occupational groups with the highest risk for stress, a factor known to impact on mental health. Psychological issues such as depression, anxiety, suicide, and alcohol or drug dependence are recognized health problems within the maritime sector. The primary aim of this study was to identify which individual and occupational factors, known to impact on psychological functioning across the maritime industry and other sectors, best predict perceived stress and job satisfaction among a sample of merchant seafarers.Methods: Secondary data analysis was conducted using a work experiences and attitudes questionnaire administered by a large shipping company to seafarers within their organization. Structural equation modeling was conducted using a proposed theoretical model of perceived stress and job satisfaction in a sample of merchant seafarers.Results: While the structural equation model produced acceptable fit to the sample data according to numerous goodness-of-fit statistics, the comparative fit index and Tucker-Lewis index results indicated less than satisfactory model fit. The model explained 23.8% of variance in the criterion variable of perceived stress, and the strongest predictive effect was for dispositional resilience. The model explained 70.6% of variance in the criterion variable of job satisfaction, and the strongest predictive effect was for instrumental work support.Conclusion: When addressing the psychosocial well-being of merchant seafarers, findings of this study suggest that dispositional resilience may be a particularly important factor with regards to perceived stress, while instrumental work support appears to be a critical factor in relation to job satisfaction. Importantly, however, an overall work environment that is perceived by employees as supportive, equal and just is a cornerstone for the psychosocial well-being of seafarers.https://www.frontiersin.org/article/10.3389/fpsyg.2019.00070/fullmerchant seafarersmaritimepsychosocial well-beingperceived stressjob satisfactionstructural equation modeling
collection DOAJ
language English
format Article
sources DOAJ
author Joanne McVeigh
Joanne McVeigh
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Frédérique Vallières
Frédérique Vallières
Philip Hyland
Philip Hyland
Rudiger Stilz
Henriette Cox
Alistair Fraser
spellingShingle Joanne McVeigh
Joanne McVeigh
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Frédérique Vallières
Frédérique Vallières
Philip Hyland
Philip Hyland
Rudiger Stilz
Henriette Cox
Alistair Fraser
Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
Frontiers in Psychology
merchant seafarers
maritime
psychosocial well-being
perceived stress
job satisfaction
structural equation modeling
author_facet Joanne McVeigh
Joanne McVeigh
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Malcolm MacLachlan
Frédérique Vallières
Frédérique Vallières
Philip Hyland
Philip Hyland
Rudiger Stilz
Henriette Cox
Alistair Fraser
author_sort Joanne McVeigh
title Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
title_short Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
title_full Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
title_fullStr Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
title_full_unstemmed Identifying Predictors of Stress and Job Satisfaction in a Sample of Merchant Seafarers Using Structural Equation Modeling
title_sort identifying predictors of stress and job satisfaction in a sample of merchant seafarers using structural equation modeling
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2019-02-01
description Background: Seafarers are amongst occupational groups with the highest risk for stress, a factor known to impact on mental health. Psychological issues such as depression, anxiety, suicide, and alcohol or drug dependence are recognized health problems within the maritime sector. The primary aim of this study was to identify which individual and occupational factors, known to impact on psychological functioning across the maritime industry and other sectors, best predict perceived stress and job satisfaction among a sample of merchant seafarers.Methods: Secondary data analysis was conducted using a work experiences and attitudes questionnaire administered by a large shipping company to seafarers within their organization. Structural equation modeling was conducted using a proposed theoretical model of perceived stress and job satisfaction in a sample of merchant seafarers.Results: While the structural equation model produced acceptable fit to the sample data according to numerous goodness-of-fit statistics, the comparative fit index and Tucker-Lewis index results indicated less than satisfactory model fit. The model explained 23.8% of variance in the criterion variable of perceived stress, and the strongest predictive effect was for dispositional resilience. The model explained 70.6% of variance in the criterion variable of job satisfaction, and the strongest predictive effect was for instrumental work support.Conclusion: When addressing the psychosocial well-being of merchant seafarers, findings of this study suggest that dispositional resilience may be a particularly important factor with regards to perceived stress, while instrumental work support appears to be a critical factor in relation to job satisfaction. Importantly, however, an overall work environment that is perceived by employees as supportive, equal and just is a cornerstone for the psychosocial well-being of seafarers.
topic merchant seafarers
maritime
psychosocial well-being
perceived stress
job satisfaction
structural equation modeling
url https://www.frontiersin.org/article/10.3389/fpsyg.2019.00070/full
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