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Managing and Preventing Employee Burnout
Published in Cary L. Cooper, Psychological Insights for Understanding COVID-19 and Work, 2020
The behavioral symptoms of burnout will likely be the most obvious to you, and the most apparent of those include: Decreased job performance.Loss of enthusiasm for the work.Increased frustration with the job.Decreased desire to communicate.Tendency to withdraw.Tardiness.Poor concentration and/or difficulty focusing.Forgetfulness.Accident proneness.
Developmental coordination disorder (DCD)
Published in Jill Christmas, Rosaline Van de Weyer, Hands on Dyspraxia: Developmental Coordination Disorder, 2019
Jill Christmas, Rosaline Van de Weyer
Accident proneness and the tendency to bump into, fall over and knock against objects is common. Objects are knocked over or easily dropped as the child does not always ‘register’ the force they are using due to poor sensory (touch or body awareness) feedback (see spatial awareness below).
Paradigm shifts for total safety
Published in E. Scott Geller, Working Safe, 2017
This so-called “psychological approach” held that certain individuals were “accident prone.” By removing these workers from risky jobs or by disciplining them to correct their attitude or personality problems, it was thought that accidents could be reduced. As I discussed in Chapter 1, this focus on accident proneness has not been effective, partly because reliable and valid measurement procedures are not available. Also, the person factors contributing to accident proneness are probably not consistent characteristics or traits within people, but vary from time to time and situation to situation.
Depth perception, dark adaptation, vigilance and accident proneness of Chinese coal mine workers
Published in International Journal of Occupational Safety and Ergonomics, 2018
Mingming Deng, Alan H. S. Chan, Feng Wu, Linyan Sun
Accident proneness theory was the first theory that systematically investigated the accident proneness of individuals working in a system. The theory suggests that a certain subgroup exists within the general population that is more likely to meet with accidents.[26,27] Rani and Chaturvedula [28] analyzed the accident proneness of 615 pilots in India, and showed that flying aptitude was related to accident proneness. Gauchard et al. [29] used a case–control study to analyze the accident proneness of railway workers, and identified some work and individual factors such as sleep disorders and smoking that predicted occupational injury frequency. Maiti conducted a case study on coal miners and the results show that older miners were more injury prone than their younger counterparts; the risk index of the face miners was higher compared with the other miners; miners in outbye locations were more accident prone than miners at the face area.[30]
Exploring associations between self-regulatory mechanisms and neuropsychological functioning and driver behaviour after brain injury
Published in Neuropsychological Rehabilitation, 2018
Per-Ola Rike, Hans J. Johansen, Pål Ulleberg, Anna Lundqvist, Anne-Kristine Schanke
Theoretical models have described which factors predict driver behaviour (Hatakka, Keskinen, Gregersen, Glad, & Hernetkoski, 2002; Michon, 1985), including models targeted at drivers who have had brain injuries (Galski, Bruno, & Ehle, 1992). The highest levels in the driver behaviour hierarchy are influenced by demographic variables and personality factors, such as self-control, attitudes, gender, age, social background and other preconditions that influence driver behaviour (Hatakka et al., 2002). Sumer (2003) proposed the contextual-mediated model, which considers cognition, personality characteristics and demographic variables as factors in a distal context that indirectly influence accident proneness through driver behaviour (e.g., aberrant driver behaviour, violations, errors, speeding), which is a proximal factor that is directly related to accident risk. The current study seeks to explore Sumer’s model in a sample of drivers who are stroke and TBI survivors and who have been found competent to drive (see Figure 1). The relationships among distal factor measurements (demographic, neuropsychological and self-regulatory mechanisms) collected during a clinical driving assessment (baseline) and baseline and follow-up ratings of driver behaviour (proximal driving context) are investigated.