A dynamic risk analysis model based on workplace ergonomics and demographic-cognitive characteristics of workers

dc.contributor.authorTaşdelen, Ahmet
dc.contributor.authorÖzpınar, Alper M.
dc.date.accessioned2023-05-22T11:04:05Z
dc.date.available2023-05-22T11:04:05Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description.abstractBackground: This study aimed to examine the effect of perception, attention, and sleep levels on the number of occupational accidents and near-misses in the mining and metal sectors. Methods: The data were collected from 53 employees in the mining (n = 30) and metal (n = 23) sectors in 2021 from a mining and metal company. The study collected the following data from the sample: demographic information forms, previous accident and previous near-miss histories, Pittsburgh Sleep Quality (PSQI) scale, pulse, sleep levels, and attention tests. Results: Having an education at primary school and below (B = 0.235; p < 0.05), and having an education at the high school level (B = 0.710; p < 0.01), being single (B = ?0.291; p < 0.01), time working in the department (B = 0.027; p < 0.05), time working in the company (B = ?0.034; p < 0.05), and the number of near-misses (B = 0.354; p < 0.01), had a significant impact on accidents. Having an education in primary school or below (B = ?1.532; p < 0.01), not having had an accident (B = ?3.654; p < 0.01), age (B = 0.074; p < 0.01), correct score (B = 0.014; p < 0.01), incorrect time (B = 0.228; p < 0.01) and unanswered score averages (B = ?0.029; p < 0.01) had a significant impact on near-misses. Conclusion: Education, the working year, and working time had significant effects on workplace accidents.en_US
dc.identifier.doi10.3390/su15054553en_US
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85149939068en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/6618
dc.identifier.urihttps://doi.org/10.3390/su15054553
dc.identifier.volume15en_US
dc.identifier.wosWOS:000946888300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofSustainability (Switzerland)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcognitive; metal; mining; perception; preventative; risk analysisen_US
dc.titleA dynamic risk analysis model based on workplace ergonomics and demographic-cognitive characteristics of workersen_US
dc.typeArticleen_US

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