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The sound of safety

Exploring the determinants of prevention intention in noisy industrial workplaces

Bibliographic Data

ID15364182
AuthorsHyerim Jo (0000-0001-7442-4736), Eun-Mi Baek (0000-0002-0940-5819, Catholic University of Korea, corresponding author)
Year2024
Volume24
Issue1
Pages90-90
Publication date2024-01-04
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-023-17618-z
PMID38178066
OpenAlexW4390589606
LanguageEN
Citations received3
References cited99

Occupational noise exposure is a pervasive issue in many industries, leading to a range of health issues and sleep disturbances among workers. Additionally, there is a strong desire among these workers to prevent industrial accidents. This study, aimed at enhancing worker health and well-being, utilized a survey distributed by the Korean Confederation of Trade Unions to field workers. Data from 1285 workers were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to identify and understand the factors affecting prevention intention in noisy work environments. Our findings indicate that health problems resulting from occupational noise exposure significantly influence insomnia, perceived severity of potential accidents, perceived benefits of preventive measures, and perceived barriers. Perceived severity was significantly correlated with prevention intention, emphasizing the role of risk perception in motivating preventive behaviors. Perceived benefits were also significantly associated with prevention intention, highlighting the importance of positive outcomes in influencing workers' behaviors. Additionally, perceived barriers showed a significant relationship with prevention intention, suggesting that overcoming these barriers is crucial in promoting preventive behaviors. Demographic factors such as gender displayed a significant association with prevention intention, while age did not. This study provides valuable insights into the multifaceted factors influencing workers' intention to prevent industrial accidents in noisy environments, underlining the importance of comprehensive data collection tools in understanding these dynamics

Biostatistics · Environmental health · Injury prevention · Occupational safety and health · Perception · Poison control · Public health · Structural equation modeling · Suicide prevention · Applied Psychology · Hearing Loss and Rehabilitation · Human Factors and Ergonomics · Medicine · Noise Effects and Management · Nursing · Psychology · Vehicle Noise and Vibration Control

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Citation span2025 - 2025 (1)
Highly citedNo

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