974 research outputs found

    Smoking Restrictions, Bans Rise in Hospitality Industry

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    With the rise of smoking restrictions and bans in the hospitality industry the author discusses solutions that are implemented to protect the workforce and guests from involuntary smoking. Historical and societal contexts are drawn, and enforcement of smoking bans as well as their economic impact is explored in an international perspective, primarily since US researchers have propelled the research on smoking and health issues. The author illustrates that there has been no way to avoid enforcements of strict smoking restrictions, and the struggle to do so could just delay the process and waste resources

    The case for presenteeism

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    Can activation requirements control moral hazard problems in public sickness absence insurance and accelerate recovery? Based on empirical analysis of Norwegian data, we show that it can. Activation requirements not only bring down benefit claims, they also reduce the likelihood that long-term sickness absence leads to inactivity. Our findings show that absentees who are issued graded (partial) absence certificates by their physician have shorter absences and higher subsequent employment rates than they would have had on regular sick leave. We conclude that the activation strategies that in recent years have permeated European and US welfare policy may fruitfully be carried over to sick leave insurance

    Sustainable festival populations: An application of organizational ecology

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    This article addresses the sustainability of festival populations from the perspective of organizational ecology theory, and in particular age and density dependence. Data from whole populations of festivals in three Norwegian counties are examined. Analyses of festival start-ups demonstrate that the number of events in each county had risen faster than population growth before plateauing, and changes were correlated significantly with trends in the Norwegian gross domestic product. Data on festival age, theme, and other variables were also considered in the light of whole population dynamics. It is concluded that the fundamental tenets of density dependence theory were empirically demonstrated insofar as rapid growth in the festival populations was not sustainable when resources diminished, but no data were available on festival failures. It appears that the hypothetical legitimation of festivals helps to explain rapid growth, as festivals have become popular instruments of public policy. Implications are drawn for future whole population studies and for policy makers who would seek to manage portfolios or whole populations of festivals

    Lost Working Years Due to Mental Disorders: An Analysis of the Norwegian Disability Pension Registry

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    Objectives: Mental disorders are prevalent diagnoses in disability benefit statistics, with awards often granted at younger age than for other diagnoses. We aimed to compare the number of lost working years following disability benefit award for mental disorders versus other diagnostic groups. Methods: Data from the complete Norwegian official registry over disability benefit incidence, including primary diagnoses, were analyzed for the period 2001 to 2003 (N = 77,067), a time-period without any reform in the disability benefit scheme. Lost working years due to disability benefit award before scheduled age retirement at age 67 were calculated. Results: Musculoskeletal disorders were the commonest reason for disability benefit awards (36.3%) with mental disorders in second place (24.0%). However, mental disorders were responsible for the most working years lost (33.8%) compared with musculoskeletal disorders (29.4%). Individuals awarded disability benefit for a mental disorder were on average 8.9 years younger (46.1 years) than individuals awarded for a musculoskeletal disorder (55.0 years), and 6.9 years younger than individuals awarded for any other somatic disorder (53.0 years). Anxiety and depressive disorders were the largest contributors to lost working years within mental disorders. Conclusion: Age at award is highly relevant when the total burden of different diagnoses on disability benefits is considered. There is great disparity in total number of lost working years due to disability benefit award for different diagnostic groups. The high number of lost working years from mental disorders has serious consequences for both the individual and for the wider society and economy

    An investigation of factors identified at birth in relation to anxiety and depression in old age: the Hordaland Health Study (HUSK)

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    Background: Although life course influences have long been recognised in affective disorder, little is known about the influence of early life factors on late life anxiety and depression. The aim was to investigate the extent to which birth measures, maternal health and family circumstances were associated with symptoms of anxiety and depression in late life. Methods: A retrospective cohort study was constructed from a cross-sectional survey sample of community residents aged 72–74 years, 406 of whom had traceable birth records. Cases and controls for late life anxiety and depression were defined applying standard cut-offs to the Hospital Anxiety and Depression Scale. A range of measures and circumstances were extracted from birth records blind to survey data and compared in age- and gender-adjusted models. Results: There were no differences in any anthropometric measure in either case control comparison. Case-level anxiety and depression were both associated with significantly lower maternal age. Late-life anxiety was additionally associated with smaller maternal pelvic size and the mother’ s condition being rated as poor at birth/discharge. Late-life depression was associated with a lower status paternal occupation. Conclusions: There was no evidence for a substantial influence of early life size on late life affective disorder. However, there was some evidence in secondary analyses for an enduring influence of the family’s socioeconomic environment and maternal health

    Do spouses coordinate their work exits? A combined survey and register analysis From Norway

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    Research on spouses’ joint work exits is scarce, although household factors such as spouses’ work status, marital quality, and caregiving burdens are likely to affect seniors’ work engagement. We therefore examine whether the work exit probability of one spouse affects that of the other. Discretetime hazard regression analyses of survey data linked to later registry information including all gainfully employed married respondents aged 50–74 with a working spouse (N ¼ 1,764) were used to assess subsequent work exits. A spouse’s work exit is a strong predictor of a respondent’s work exit (hazard ratio 3.1, 95% confidence interval [2.5, 4.0]). Educational attainment, poor marital quality, and spouses’ health and care needs do not predict work exits. Surprisingly, no gender differences are observed. Research on larger survey samples to distinguish different work exit routes and reasons for spouses

    Job strain, health and sickness absence: results from the Hordaland Health Study

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    While it is generally accepted that high job strain is associated with adverse occupational outcomes, the nature of this relationship and the causal pathways involved are not well elucidated. We aimed to assess the association between job strain and long-term sickness absence (LTSA), and investigate whether any associations could be explained by validated health measures.Data from participants (n = 7346) of the Hordaland Health Study (HUSK), aged 40-47 at baseline, were analyzed using multivariate Cox regression to evaluate the association between job strain and LTSA over one year. Further analyses examined whether mental and physical health mediated any association between job strain and sickness absence.A positive association was found between job strain and risk of a LTSA episode, even controlling for confounding factors (HR = 1.64 (1.36-1.98); high job strain exposure accounted for a small proportion of LTSA episodes (population attributable risk 0.068). Further adjustments for physical health and mental health individually attenuated, but could not fully explain the association. In the fully adjusted model, the association between high job strain and LTSA remained significant (HR = 1.30 (1.07-1.59)).High job strain increases the risk of LTSA. While our results suggest that one in 15 cases of LTSA could be avoided if high job strain were eliminated, we also provide evidence against simplistic causal models. The impact of job strain on future LTSA could not be fully explained by impaired health at baseline, which suggests that factors besides ill health are important in explaining the link between job strain and sickness absence
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