Introduction: Previous safety climate studies primarily focused on either large construction companies or the construction industry as a whole, while little is known about whether company size has significant effects on workers' understanding of safety climate measures and relationships between safety climate factors and safety behavior. Thus, this study aims to: (a) test the measurement equivalence (ME) of a safety climate measure across workers from small and large companies; (b) investigate if company size alters the causal structure of the integrative model developed by Guo, Yiu, and González (2016).
Method: Data were collected from 253 construction workers in New Zealand using a safety climate measure. This study used multi-group confirmatory factor analyses (MCFA) to test the measurement equivalence of the safety climate measure and structure invariance of the integrative model.
Results: Results indicate that workers from small and large companies understood the safety climate measure in a similar manner. In addition, it was suggested that company size does not change the causal structure and mediational processes of the integrative model.
Conclusions: Both measurement equivalence of the safety climate measure and structural invariance of the integrative model were supported by this study. Practical applications: Findings of this study provided strong support for a meaningful use of the safety climate measure across construction companies in different sizes. Safety behavior promotion strategies designed based on the integrative model may be well suited for both large and small companies.
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http://dx.doi.org/10.1016/j.jsr.2017.12.003 | DOI Listing |
J Interprof Care
January 2025
Department of Nursing, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS®) is a strategy for improving communication and team climate in hospitals. While it shows promise, it remains an untested tool among health care professional teams. A cross-sectional design with survey methodology was implemented.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
Corteva Agriscience, 9330 Zionsville Road, Indianapolis, Indiana 46268, United States.
The growing global needs for food and feed and the impact of climate change on agriculture demand innovative and sustainable solutions to protect against crop losses and to improve yields worldwide. To facilitate the timely discovery and development of new sustainable crop protection products with favorable human health and environmental safety profiles, the development of new approach methodologies (NAMs) is essential to predict potential risk and to perform safety assessment early in the discovery process. Significant advances in NAM research have been made in recent years.
View Article and Find Full Text PDFBiol Lett
January 2025
Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, 97074 Würzburg, Germany.
Cold waves crossing the Amazon rainforest are an extraordinary phenomenon likely to be affected by climate change. We here describe an extensive cold wave that occurred in June 2023 in Amazonian-Andean forests and compare environmental temperatures to experimentally measured thermal tolerances and their impact on lowland animal communities (insects and wild mammals). While we found strong reductions in activity abundance of all animal groups under the cold wave, tropical lowland animals showed thermal tolerance limits below the lowest environmental temperatures measured during the cold wave.
View Article and Find Full Text PDFActa Vet Scand
January 2025
Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Framstredet 39, Breivika, Tromsø, N-9019, Norway.
Background: The reindeer brainworm, Elaphostrongylus rangiferi, is a protostrongylid parasite of reindeer that has caused severe disease outbreaks in reindeer husbandry. E. rangiferi is considered ubiquitous in Norway, though most published prevalence studies are from Finnmark county only.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Göttingen, Germany.
Carbon use efficiency (CUE) of microbial communities in soil quantifies the proportion of organic carbon (C) taken up by microorganisms that is allocated to growing microbial biomass as well as used for reparation of cell components. This C amount in microbial biomass is subsequently involved in microbial turnover, partly leading to microbial necromass formation, which can be further stabilized in soil. To unravel the underlying regulatory factors and spatial patterns of CUE on a large scale and across biomes (forests, grasslands, croplands), we evaluated 670 individual CUE data obtained by three commonly used approaches: (i) tracing of a substrate C by C (or C) incorporation into microbial biomass and respired CO (hereafter C-substrate), (ii) incorporation of O from water into DNA (O-water), and (iii) stoichiometric modelling based on the activities of enzymes responsible for C and nitrogen (N) cycles.
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