14,793 research outputs found

    Job Anxiety, Work-Related Psychological Illness and Workplace Performance

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    This paper uses matched employee-employer data from the British Workplace Employment Relations Survey (WERS) 2004 to examine the determinants of employee job anxiety and work-related psychological illness. Job anxiety is found to be strongly related to the demands of the job as measured by factors such as occupation, education and hours of work. Average levels of employee job anxiety, in turn, are positively associated with work-related psychological illness among the workforce as reported by managers. The paper goes on to consider the relationship between psychological illness and workplace performance as measured by absence, turnover and labour productivity. Work-related psychological illness is found to be negatively associated with several measures of workplace performance.job anxiety, stress, absence, labour productivity

    Work-Related Health in Europe: Are Older Workers More at Risk?

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    This paper uses the fourth European Working Conditions Survey (2005) to address the impact of age on work-related self-reported health outcomes. More specifically, the paper examines whether older workers differ significantly from younger workers regarding their job-related health risk perception, mental and physical health, sickness absence, probability of reporting injury and fatigue. Accounting for the 'healthy worker effect', or sample selection – in so far as unhealthy workers are likely to exit the labour force – we find that as a group, those aged 55-65 years are more 'vulnerable' than younger workers: they are more likely to perceive work-related health and safety risks, and to report mental, physical and fatigue health problems. As previously shown, older workers are more likely to report work-related absence.endogeneity, fatigue, absence, physical health, mental health, healthy worker selection effect

    Acetaminophen poisoning: an update for the intensivist

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    Acetaminophen overdose is common and can result from deliberate/nonstaggered or accidental/staggered ingestion. Patients presenting within 24 h of an acetaminophen overdose can safely be managed on medical wards. Early management of nonstaggered overdose is guided by the plasma acetaminophen concentration, whereas management of accidental/staggered ingestion is guided by ingested dose. Ingested dose and time from ingestion to presentation are important prognostic factors in accidental/staggered ingestion. Acetaminophen-induced acute liver failure (ALF) requires meticulous supportive care in an intensive care unit (ICU), with early identification and transfer of patients who are likely to require liver transplantation to a specialist liver centre. The modified King's College Hospital criteria (incorporating lactate into the traditional criteria) represent the best tool for identifying patients who require transplantation

    Identification and predictability of soil quality indicators from conventional soil and vegetation classifications

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    The physical, chemical and biological attributes of a soil combined with abiotic factors (e.g. climate and topography) drive pedogenesis and some of these attributes have been used as proxies to soil quality. Thus, we investigated: (1) whether appropriate soil quality indicators (SQIs) could be identified in soils of Great Britain, (2) whether conventional soil classification or aggregate vegetation classes (AVCs) could predict SQIs and (3) to what extent do soil types and/ or AVCs act as major regulators of SQIs. Factor analysis was used to group 20 soil attributes into six SQI which were named as; soil organic matter (SOM), dissolved organic matter (DOM), soluble N, reduced N, microbial biomass, DOM humification (DOMH). SOM was identified as the most important SQI in the discrimination of both soil types and AVCs. Soil attributes constituting highly to the SOM factor were, microbial quotient and bulk density. The SOM indicator discriminated three soil type groupings and four aggregate vegetation class groupings. Among the soil types, only the peat soils were discriminated from other groups while among the AVCs only the heath and bog classes were isolated from others. However, the peat soil and heath and bog AVC were the only groups that were distinctly discriminated from other groups. All other groups heavily overlapped with one another, making it practically impossible to define reference values for each soil type or AVC. The two-way ANOVA showed that the AVCs were a better regulator of the SQIs than the soil types. We conclude that conventionally classified soil types cannot predict the SQIs defined from large areas with differing climatic and edaphic factors. Localised areas with similar climatic and topoedaphic factors may hold promise for the definition of SQI that may predict the soil types or AVCs
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