Managing health risks in the offshore workplace: Impact on health climate, safety climate and risk identification

Immigrants account for a significant proportion of the nursing workforce in the United States (U.S.). Although different cultural backgrounds may affect immigrant nurses’ perceptions of work and occupational health risks, little research has been conducted. Defining immigrant nurses as those who received initial nursing education in foreign countries, this study examined the differences in work-related perceptions and experiences of musculoskeletal (MS) symptoms and injuries between U.S.-educated and foreign-educated nurses. We analyzed data from a cross-sectional study using a statewide random sample of 419 California registered nurses. Foreign-educated nurses reported a more positive safety climate ( p = .017) and perceived their jobs as less demanding ( p = .008) than did U.S.-educated nurses. The prevalence of work-related MS symptoms was significantly lower in foreign-educated nurses than in U.S.-educated nurses ( p = .044), but the difference was not significant in the multivariable analyses. Positive safety climate was significantly associated with a decreased risk of work-related MS symptoms and injuries, and this relationship was greater among U.S.-educated nurses than among foreign-educated nurses. Our findings suggest that immigrant nurses may have different perceptions about safety climate and job demand, which may modify their occupational health risks.

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Problem of Creation of Work Safety Climate for Personnel

Management of the personnel and intellectual resources in Russia ◽

10.12737/13245 ◽

2015 ◽

Vol 4 (4) ◽

pp. 69-71

Author(s):

Морозова ◽

I. Morozova ◽

Козлов ◽

V. Kozlov

Keyword(s):

Human Resource ◽

Health Risks ◽

Safety Culture ◽

Safety Climate ◽

Potential Problem ◽

Health And Safety ◽

Work Safety ◽

Practical Tool ◽

Personnel Safety ◽

Main Factors

In recent years Management of personnel health and safety has gained a new value. Formation of culture of personnel safety creates the possibility of quality increase of level of the guaranteed work safety. The authors explore the essence of such notions as «labour protection culture» and «labour safety culture». They analyze the main factors infl uencing the person’s behavior at modern production site and aggravating technological health risks. The Research has shown that the study of safety culture is inextricably linked to safety climate. The climate of safety opens a way to overcoming social and psychological problems of work safety of the personnel. In this regard, the article provides a list of indicators of safety climate. These indicators can serve as a practical tool for the assessment and recognition of the potential problem areas of the human resource management in the organization.

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Finding unknown stimulants applied in food supplements using Artificial Intelligence

10.21203/rs.3.rs-447092/v1 ◽

2021 ◽

Author(s):

Anand Gavai ◽

Yamine Bouzembrak ◽

Leonieke Bulk ◽

Ningjing Liu ◽

Lennert van Overbeeke ◽

...

Keyword(s):

Health Risks ◽

World Wide ◽

Scientific Literature ◽

New Products ◽

World Market ◽

Risk Identification ◽

Food Supplements ◽

Potential Health ◽

The World ◽

Emerging Risk

Abstract The world market for food supplements is large and is driven by the claims of these products to, for example, treat obesity, increase focus and alertness, decrease appetite, decrease the need for sleep or reduce impulsivity. The use of illegal compounds in food supplements is a continuous threat, certainly because these compounds and products have not been tested for safety by competent authorities. It is therefore of the utmost importance for the competent authorities to know when new products are being marketed and to warn users against potential health risks. In this study we present an approach to detect new and unknown stimulants in food supplements using machine learning. More than 20 new stimulants were identified from two different data sources, namely scientific literature applying word embedding on > 2 million abstracts and articles from formal and social media on the world wide web using text mining. The results show that the developed approach may be suitable to detect “unknowns” in the emerging risk identification activities performed by the competent authorities, which is currently a major hurdle.

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