30 research outputs found

    Sleep duration and sleep difficulties as predictors of occupational injuries: a cohort study

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    STUDY OBJECTIVES: To examine the association between sleep duration and sleep difficulties with different types and causes of workplace and commuting injuries. METHODS: The data were derived from the Finnish Public Sector study including 89.543 participants (178.309 person-observations). Participants reported their sleep duration and sleep difficulties between 2000 and 2012. These were linked to occupational injury records from the national register maintained by the Federation of Accident Insurance Institutions. Risk of injuries was followed up 1 year after each study wave. Logistic regression analysis with generalised estimating equations (GEEs) was used to examine the association between sleep duration/difficulties and risk of injuries, and multinomial logistic regression with GEE was used to examine the association with injury types and causes. RESULTS: Both sleep duration and difficulties were associated with injuries. Employees with short sleep (≤6.5 hours) had 1.07-fold odds of workplace injuries (95% CI 1.00 to 1.14) and 1.14 times higher odds of commuting injuries (95% CI 1.04 to 1.26) compared with employees with normal sleep duration. For employees with disturbed sleep, the corresponding ORs were 1.09-fold (95% CI 1.02 to 1.17) and 1.14-fold (95% CI 1.04 to 1.26) compared with those without sleep difficulties, respectively. The risk of commuting injuries was higher among those who had difficulty in falling asleep (OR 1.29, 95% CI 1.07 to 1.55), woke up too early (OR 1.11, 95% CI 1.00 to 1.23) or had non-restorative sleep (OR 1.18, 95% CI 1.05 to 1.33). CONCLUSIONS: Short sleep duration and sleep difficulties are associated with slightly increased risk of workplace and commuting injuries

    Cyclic behaviour and fatigue of stainless steels

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    The cyclic stress-strain curve is used for describing a stabilized (averaged) stress-strain response in strainconcentrations. Importantly, it describes the extremes of the stabilized hysteresis loop. This data is needed forestimating fatigue life based on the strain-life method for components subjected to cyclic loading. A typicalapplication for this calculation method is the design of exhaust manifolds and cylinder heads experiencingsevere temperature cycles and thermal straining. Cyclic tests with variable and constant strain amplitude, aswell as tensile tests have been carried out for three materials: 1.4307, 1.4404 and 1.4541 –type commercialstainless steels in order to study the material response. The formation of martensite was measured in the tests.Secondary hardening was observed with all strain amplitudes in 1.4307 and 1.4541 whereas in 1.4404,secondary hardening occurred only with the smallest test amplitude. Also, the fatigue life of 1.4404 tended tobe shorter than that of 1.4307 and 1.4501 in the high cycle fatigue (HCF) regime

    Concurrent changes in sleep and physical activity during the transition to retirement: a prospective cohort study

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    BackgroundCurrently, little is known regarding whether changes in physical activity are associated with changes in sleep in general population. The aim of this study was to examine the association between changes in physical activity and changes in sleep duration and difficulties at retirement transition point.MethodsData from the prospective Finnish Retirement and Aging study of 2745 retired public sector employees was used. Participants answered questionnaires before and after the retirement with one year interval, in which they reported average weekly hours of physical activity, sleep duration and the frequency of sleep difficulties. The level of physical activity, classified as ‘low’, ‘moderate’ or ‘high’, before and after retirement was used to classify the participants to five physical activity groups. Changes in sleep duration (in minutes) and sleep difficulties (no, moderate, severe) were examined in these physical activity groups.ResultsBefore retirement, high physical activity was associated with longest sleep duration (7 h 8 min) and low physical activity was associated with severe sleep difficulties (OR 1.23, 95% CI 1.06–1.44) in comparison to high physical activity. During retirement transition, sleep duration increased in all physical activity change groups and sleep difficulties decreased significantly in ‘stable’, ‘increase from moderate’, ‘decrease from moderate’ and ‘decrease from high’ groups. Changes in sleep duration and sleep difficulties were not statistically significantly different between the physical activity change groups.ConclusionSleep duration increases and sleep difficulties decrease after retirement. Changes in sleep during retirement transition seem to be independent of changes in physical activity during the same time period.</div

    Sleep duration and sleep difficulties as predictors of occupational injuries: a cohort study

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    Study objectives To examine the association between sleep duration and sleep difficulties with different types and causes of workplace and commuting injuries. Methods The data were derived from the Finnish Public Sector study including 89.543 participants (178.309 person-observations). Participants reported their sleep duration and sleep difficulties between 2000 and 2012. These were linked to occupational injury records from the national register maintained by the Federation of Accident Insurance Institutions. Risk of injuries was followed up 1 year after each study wave. Logistic regression analysis with generalised estimating equations (GEEs) was used to examine the association between sleep duration/difficulties and risk of injuries, and multinomial logistic regression with GEE was used to examine the association with injury types and causes. Results Both sleep duration and difficulties were associated with injuries. Employees with short sleep (Conclusions Short sleep duration and sleep difficulties are associated with slightly increased risk of workplace and commuting injuries.</p

    Sustainable management of migratory European ducks: finding model species

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    Eurasian migratory duck species represent a natural resource shared between European countries. As is evident throughout human harvest history, lack of coordinated management and monitoring at appropriate levels often leads to 'the tragedy of the commons', where shared populations suffer overexploitation. Effective management can also be hampered by poor understanding of the factors that limit and regulate migratory populations throughout their flyways, and over time. Following decades of population increase, some European duck populations now show signs of levelling off or even decline, underlining the need for more active and effective management. In Europe, the existing mechanisms for delivering effective management of duck populations are limited, despite the need and enthusiasm for establishing adaptive management (AM) schemes for wildlife populations. Existing international legal agreements already oblige European countries to sustainably manage migratory waterbirds. Although the lack of coordinated demographic and hunting data remains a challenge to sustainable management planning, AM provides a robust decision-making framework even in the presence of uncertainty regarding demographic and other information. In this paper we investigate the research and monitoring needs in Europe to successfully apply AM to ducks, and search for possible model species, focusing on freshwater species (in contrast to sea duck species) in the East Atlantic flyway. Based on current knowledge, we suggest that common teal Anas crecca, Eurasian wigeon Mareca penelope and common goldeneye Bucephala clangula represent the best species for testing the application of an AM muddling approach to duck populations in Europe. Applying AM to huntable species with relatively good population data as models for broader implementation represents a cost effective way of starting to develop AM on a European flyway scale for ducks, and potentially other waterbirds in the future

    Event-related potentials to task-irrelevant sad faces as a state marker of depression

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    Negative bias in face processing has been demonstrated in depression, but there are no longitudinal investigations of negative bias in symptom reduction. We recorded event-related potentials (P1 and N170) to task-irrelevant facial expressions in depressed participants who were later provided with a psychological intervention and in never depressed control participants. Follow-up measurements were conducted for the depressed group two and 39 months later. Negative bias was found specifically in the depression group, and was demonstrated as enlarged P1 amplitude to sad faces, which normalized in the follow-up measurements when the participants had fewer symptoms. Because the P1 amplitude recorded at the baseline did not differ between the depression group that recovered and the group that did not recover after the intervention, this brain response did not show potential as a biomarker for treatment response. It could have potential, however, to serve as a state-marker of depression.peerReviewe
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