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Predictors of Respiratory Protective Equipment Use in the Norwegian Smelter Industry: The Role of the Theory of Planned Behavior, Safety Climate, and Work Experience in Understanding Protective…

Overview of attention for article published in Frontiers in Psychology, August 2018
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Title
Predictors of Respiratory Protective Equipment Use in the Norwegian Smelter Industry: The Role of the Theory of Planned Behavior, Safety Climate, and Work Experience in Understanding Protective Behavior
Published in
Frontiers in Psychology, August 2018
DOI 10.3389/fpsyg.2018.01366
Pubmed ID
Authors

Øystein Robertsen, Frank Siebler, Martin Eisemann, Marit N. Hegseth, Solveig Føreland, Hans-Christian B. Vangberg

Abstract

Previous research has revealed a higher prevalence of respiratory symptoms in Norwegian smelter workers compared to average population controls. Nevertheless, respiratory protective equipment (RPE) is not always used, even in situations with high exposure risk. A questionnaire was distributed to workers in the Norwegian smelting industry to investigate the relationship between psychological factors and self-reported use of RPEs. Response rate was 567/1,253. A scale measuring attitudes toward behavior (ATT), subjective norms (SN), perceived behavioral control (PBC), and behavioral intention (BI) was constructed based on the Theory of Planned Behavior (TPB). Reliability and Confirmatory Factor Analyses partially supported the theoretical structure of the TPB-based scale, the Work Experience Measurement Scale (WEMS) and the Short Scale for Safety Climate (SC). A model explaining the relationship between observed variables, latent constructs from TPB, WEMS and SC was developed by SEM-analysis. Significant influence on BI from ATT (β = 0.31 p < 0.01), SN (β = 0.36 p < 0.01), and SC (β = 0.19, p < 0.01) emerged. Among the observed variables included, relationship status (β = -0.12 p < 0.05), education level (β = 0.09, p < 0.05), previously completed respirator fit-testing (β = -0.09, p < 0.05) and average hours spent in exposed areas (β = -0.09) p < 0.05) had significant influence on behavioral intention. The model explained 48% of the variance in BI. BI and PBC significantly predicted PB, with β = 0.65 and β = -0.06, respectively. Results of this investigation can help facilitate further work and development of health & safety routines within industrial settings.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Lecturer > Senior Lecturer 2 6%
Other 5 14%
Unknown 13 37%
Readers by discipline Count As %
Psychology 5 14%
Business, Management and Accounting 3 9%
Social Sciences 3 9%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Other 4 11%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Frontiers in Psychology
#19,077
of 30,483 outputs
Outputs of similar age
#210,044
of 331,152 outputs
Outputs of similar age from Frontiers in Psychology
#544
of 725 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,483 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 725 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.