969 resultados para occupational risks.


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Objective: To estimate occupational light vehicle (OLV) fatality numbers using vehicle registration and crash data and compare these with previous estimates based on workers' compensation data. Method: New South Wales (NSW) Roads and Traffic Authority (RTA) vehicle registration and crash data were obtained for 2004. NSW is the only Australian jurisdiction with mandatory work-use registration, which was used as a proxy for work-relatedness. OLV fatality rates based on registration data as the denominator were calculated and comparisons made with published 2003/04 fatalities based on workers' compensation data. Results: Thirty-four NSW RTA OLV-user fatalities were identified, a rate of 4.5 deaths per 100,000 organisationally registered OLV, whereas the Australian Safety and Compensation Council (ASCC), reported 28 OLV deaths Australia-wide. Conclusions: More OLV user fatalities were identified from vehicle registration-based data than those based on workers' compensation estimates and the data are likely to provide an improved estimate of fatalities specific to OLV use. Implications: OLV-use is an important cause of traumatic fatalities that would be better identified through the use of vehicle-registration data, which provides a stronger evidence base from which to develop policy responses.

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This paper examines the patterning of exposures to occupational hazards in relation to occupational skill level as a proxy for pay rate, testing the general hypothesis that exposures to occupational hazards increase in prevalence with decreasing skill level. A population-based telephone survey was conducted on a random sample of working Victorians (N = 1,101). A set of 10 indicators of exposure to occupational hazards were analysed individually and as a summary scale in multivariate regression models. A significant increasing trend in hazardous working conditions from the highest to lowest occupational skill level was observed, with those in lower skill level jobs twice as likely to be exposed as those at the highest skill level. This overall trend was driven primarily by higher exposure in the middle skill level group (technicians and skilled trades) as well as the lowest (labourers and elementary clerical), the two main bluecollar groups. Findings provided partial support for the hypothesised relationship.

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Background The broad aim of this study was to assess the contribution of job strain to mental health inequalities by (a) estimating the proportion of depression attributable to job strain (low control and high demand jobs), (b) assessing variation in attributable risk by occupational skill level, and (c) comparing numbers of job strain–attributable depression cases to numbers of compensated 'mental stress' claims. Methods Standard population attributable risk (PAR) methods were used to estimate the proportion of depression attributable to job strain. An adjusted Odds Ratio (OR) of 1.82 for job strain in relation to depression was obtained from a recently published meta-analysis and combined with exposure prevalence data from the Australian state of Victoria. Job strain exposure prevalence was determined from a 2003 population-based telephone survey of working Victorians (n = 1101, 66% response rate) using validated measures of job control (9 items, Cronbach's alpha = 0.80) and psychological demands (3 items, Cronbach's alpha = 0.66). Estimates of absolute numbers of prevalent cases of depression and successful stress-related workers' compensation claims were obtained from publicly available Australian government sources. Results Overall job strain-population attributable risk (PAR) for depression was 13.2% for males [95% CI 1.1, 28.1] and 17.2% [95% CI 1.5, 34.9] for females. There was a clear gradient of increasing PAR with decreasing occupational skill level. Estimation of job strain–attributable cases (21,437) versus "mental stress" compensation claims (696) suggest that claims statistics underestimate job strain–attributable depression by roughly 30-fold. Conclusion Job strain and associated depression risks represent a substantial, preventable, and inequitably distributed public health problem. The social patterning of job strain-attributable depression parallels the social patterning of mental illness, suggesting that job strain is an important contributor to mental health inequalities. The numbers of compensated 'mental stress' claims compared to job strain-attributable depression cases suggest that there is substantial under-recognition and under-compensation of job strain-attributable depression. Primary, secondary, and tertiary intervention efforts should be substantially expanded, with intervention priorities based on hazard and associated health outcome data as an essential complement to claims statistics.

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We used a secondary, qualitative analysis of stakeholder perceptions of work stress in Australia to characterize the context for policy and practice intervention. Themes included: Individual versus contextual descriptions of stress; perceived ‘gender’ differences in manifesting and reporting of stress; the work/home interface; and perceived sectoral and occupational differences in compensation claim rates. We found that people often still perceive stress as an individual rather than organizational problem and view work stress as a stereotypically feminine weakness that affects only certain people. Organizations downplay and overlook risks, increasing worker reluctance to report stressors, creating barriers to job stress interventions. Our study may be relevant to other industrial countries where researchers currently study job stress interventions to improve their effectiveness. Comprehensive approaches can increase knowledge and decrease stigma about job stress and mental illness, and target both work- and non-work-related influences on mental health.

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The improvement of health and safety standards within the organizational context is an important issue of global concern. China’s occupational health and safety (OHS) has increasingly drawn national and international attention as it has not kept pace with its globalization of production and trade. The traditional approach to managing workplace safety in China has focused on the technical aspects of engineering systems and processes, and it has attributed the majority of workplace accidents and injuries to unsafe working conditions instead of the unsafe work practices of employees. However, there has been a fundamental shift in the safety management research carried out in many countries and across diverse industries, which aims to measure the impact of attitudinal, organizational, cultural, and social dimensions on occupational safety. This article examines the relationship between safety climate and safety-related behavior in the Chinese context and draws implications for the management of occupational safety in China.