Concrete Casting – Construction Engineers’ Attitudes and Knowledge About Work Environment, Risk Factors, Injuries and Self-compacting Concrete

Author(s):  
Inga Mikhaltchouk ◽  
Mikael Forsman
2012 ◽  
Vol 18 (5) ◽  
pp. 724-734 ◽  
Author(s):  
Romuald Rwamamara ◽  
Peter Simonsson

Many of those working on construction sites are exposed to demanding work loads; construction workers lift and carry heavy materials and work in awkward postures. Occupational injuries and accidents due to poor ergonomics are more common in the construction industry and many times lead to human tragedies, disrupt construction processes and adversely affect the cost, productivity, and the reputation of the construction industry. In Sweden, it is reported that concrete workers have the highest relative work-related musculoskeletal injury frequency. Therefore, the use of ergonomic production methods to prevent this can have a significant human, social and financial impact. Research introduced here presents a case study of comparative analyses of ergonomic situations for concrete workers performing concrete casting processes. Three different ergonomic risk assessment methods were used to assess the physical strain, hand-arm vibration and noise affects risks involved in concrete casting work tasks. The combination of technical and managerial factors results in a system where workers are as efficient and safe as possible during their work tasks, and thus, makes the construction work environment sustainable. The aim of our research is to find practical methods to evaluate and compare two different concrete casting methods from an ergonomic perspective. The focus is on the production of cast-in-place concrete bridge constructions where the traditional concrete casting method is compared with the SCC (Self-Compacting concrete) casting method. To be able to identify work-related musculoskeletal injury risks due to concrete casting work tasks, QEC (Quick Exposure Check for musculoskeletal risks), PLIBEL (Checklist for identification for Ergonomics Hazards) and ErgoSAM (Ergonomic production technology method) methods were used. Ergonomic risks analysis methods QEC, PLIBEL and ErgoSAM have all shown capabilities to evaluate construction work activities and thus determine whether a construction work activity constitutes a musculoskeletal risk to the worker or not before any ergonomic intervention is introduced. As a result the present ergonomic risks emanating from work methods used in the traditional concrete placing can be significantly reduced with the use of self-compacting concrete (SCC) that eliminates awkward work postures, noise and hand arm vibration, thereby reducing if not eliminating musculoskeletal injuries among concrete workers during their concrete casting work tasks.


Author(s):  
Phillip M. Kleespies ◽  
Justin M. Hill

This chapter illustrates the mental health clinician’s relationship with behavioral emergencies. The chapter begins by distinguishing the terms behavioral emergency and behavioral crisis, and underlying themes among all behavioral emergencies are identified. Given that most clinicians will face a behavioral emergency in their careers, the importance of enhancing the process of educating and training practitioners for such situations far beyond the minimal training that currently exists is highlighted. The chapter continues by exploring various aspects of evaluating and managing high-risk patients (i.e., those who exhibit violent tendencies toward themselves or others, and those at risk for victimization). It includes a discussion of the benefits and limitations to estimating life-threatening risk factors and specific protective factors. The chapter concludes by discussing the emotional impact that working with high-risk patients has on clinicians, and an emphasis is placed on the importance of creating a supportive work environment.


Author(s):  
Inese Mārtiņsone ◽  
Mārīte-Ārija Baķe ◽  
Žanna Martinsone ◽  
Maija Eglīte

Possible hazards of work environment in metal processing industry in Latvia The aim of this study was to investigate risk factors in the work environment of Latvian metal processing industry using the database of the Laboratory of Hygiene and Occupational Diseases of the Institute of Occupational Safety and Environmental Health, Rīga Stradiņš University. During the period between 1996 and 2005, 703 measurements were made in metalworking enterprises. In Latvia, approximately 2.4% of the workforce is involved in the metal processing industry. Physical (noise, lighting, vibration) and chemical (abrasive dust, welding aerosol and contained metals) risk factors were analysed. In the assessed metalworking workplaces, the work environment was estimated to be of poor quality, because occupational exposure limits or recommended values were exceeded in 42% (n = 294) of cases. Noise, manganese and welding aerosols most often exceeded the occupational exposure limits or recommended values, the significance was P < 0.001, P < 0.01 and P < 0.05, respectively.


BMJ ◽  
2006 ◽  
Vol 332 (7539) ◽  
pp. 449-452 ◽  
Author(s):  
Thomas Lund ◽  
Merete Labriola ◽  
Karl Bang Christensen ◽  
Ute Bültmann ◽  
Ebbe Villadsen

Author(s):  
Larissa Bolliger ◽  
Junoš Lukan ◽  
Mitja Luštrek ◽  
Dirk De Bacquer ◽  
Els Clays

Several studies have reported on increasing psychosocial stress in academia due to work environment risk factors like job insecurity, work-family conflict, research grant applications, and high workload. The STRAW project adds novel aspects to occupational stress research among academic staff by measuring day-to-day stress in their real-world work environments over 15 working days. Work environment risk factors, stress outcomes, health-related behaviors, and work activities were measured repeatedly via an ecological momentary assessment (EMA), specially developed for this project. These results were combined with continuously tracked physiological stress responses using wearable devices and smartphone sensor and usage data. These data provide information on workplace context using our self-developed Android smartphone app. The data were analyzed using two approaches: 1) multilevel statistical modelling for repeated data to analyze relations between work environment risk factors and stress outcomes on a within- and between-person level, based on EMA results and a baseline screening, and 2) machine-learning focusing on building prediction models to develop and evaluate acute stress detection models, based on physiological data and smartphone sensor and usage data. Linking these data collection and analysis approaches enabled us to disentangle and model sources, outcomes, and contexts of occupational stress in academia.


Author(s):  
Mārīte Ārija Baķe ◽  
Maija Eglīte ◽  
Žanna Martinsone ◽  
Inita Buiķe ◽  
Anita Piķe ◽  
...  

Organic solvents as chemical risk factors of the work environment in different branches of industry and possible impact of solvents on workers' health The aim of our study was to investigate organic solvents as chemical risk factors of the work environment in different branches of the industry in Latvia during 1998-2006 and to evaluate the possible impact of solvents to worker health according to the exposure index. The work conditions were studied in 116 enterprises of different branches of industries in Latvia. The analysis of 1790 measurements showed that organic solvents in the work environment have different degrees of exposure probability risk on worker health. The exposure levels in workplaces differ. More than half of surveyed workplaces (56.7%) had a low organic solvent exposure probability level, in 25.2% workplaces it was medium, and in 18.1% workplaces high. The most widely used organic solvents were aromatic hydrocarbons, which was recorded in 35% of the measurements made during assessment of aromatic hydrocarbon group organic solvent exposure in the work environment. In most workplaces several solvents were present simultaneously. Since solvents have a one-way effect on the human body, the actual exposure risk level is higher than shown when evaluating the exposure index of a single solvent only.


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