Seafarers' perceptions of job demand: A cross-sectional study
Autor: | Antonio Arnese, Luciana Albano, Pietro Ferrara, Lucia Stromillo, Luisa Maria Roberta Tedesco |
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Přispěvatelé: | Tedesco, L, Ferrara, P, Stromillo, L, Arnese, A, Albano, L, Tedesco, Luisa Maria Roberta, Ferrara, Pietro, Stromillo, Lucia, Arnese, Antonio, Albano, Luciana |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adult
Male Cross-sectional study Health Toxicology and Mutagenesis media_common.quotation_subject Population Workload Toxicology Logistic regression seafaring 03 medical and health sciences Occupational Stress 0302 clinical medicine Job strain work health Environmental health Perception Humans 030212 general & internal medicine education Ship Ships General Environmental Science media_common Cross-Sectional Studie education.field_of_study Stressor Public Health Environmental and Occupational Health Occupational Stre Middle Aged 030210 environmental & occupational health Cross-Sectional Studies Italy Female Occupational stress Psychology Human |
Popis: | The study offers an insight regarding seafarers' perceptions towards factors of psychological distress on board. In order to identify stressors on sea-workers, a cross-sectional survey was conducted, targeting a population group of workers of Italian shipping companies sailing across the world. The research aimed to investigate workers' demographic and professional characteristics and in what ways them influence perception of job fatigue, using an Italian version of the Karasek questionnaire. The 80.1% of the involved seafarers returned the questionnaire, yielding a mean level of perceived job demand of 32.8 points and a mean level of perceived decision latitude of 65.5 points; 37.2% of interviewers stated a scarce level of decision latitude. The results of the multivariate logistic regression models allowed to assess the seafarers' characteristics related to their perception of job strain. These results confirm the need of measures that prevent stressor factors in maritime workers. |
Databáze: | OpenAIRE |
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