22 research outputs found

    Do positive psychosocial work factors protect against two-year incidence of long-term sickness absence among employees with and those without depressive symptoms? A prospective study

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    Objective: This study sought to examine the influence of protective work factors on long-term sickness absence among employees reporting different levels of depressive symptoms in a representative sample of the Danish workforce. Methods: Questionnaire data were collected from a random sample of members of the Danish workforce aged between 18 and 64 years using information from two surveys with baselines in 2000 and 2005. From the year 2000 baseline, questionnaires from 5510 employees (2790 males and 2720 females) were included; from the 2005 baseline, questionnaires from 8393 employees (3931 males and 4462 females) were included. Baseline data were collected on depressive symptoms, leadership, colleague support, and decision latitude. Information on 2-year incidence of sickness absence was derived from an official register. Results: Stratified analyses on depressive symptom scores (none, moderate, and severe) indicate that quality of leadership was associated with reduced sickness absence to a somewhat stronger degree for those with moderate depressive symptoms (adjusted hazard ratio=0.88, 95% confidence interval=0.78-0.98) than for those without depressive symptoms and that high decision latitude was associated with reduced sickness absence to a somewhat larger degree for those without depressive symptoms (adjusted hazard ratio=0.91, 95% CI=0.85-0.97) than for those with depressive symptoms. However, quality of leadership and decision latitude did not interact significantly with depressive symptom status. Conclusions: Quality of leadership may protect against long-term sick leave to a certain degree in those with moderate depressive symptoms. Possible interactions between psychosocial working conditions and depression status should be investigated in larger populations

    Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals

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    Background Long working hours might increase the risk of cardiovascular disease, but prospective evidence is scarce, imprecise, and mostly limited to coronary heart disease. We aimed to assess long working hours as a risk factor for incident coronary heart disease and stroke. Methods We identifi ed published studies through a systematic review of PubMed and Embase from inception to Aug 20, 2014. We obtained unpublished data for 20 cohort studies from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium and open-access data archives. We used cumulative random-eff ects meta-analysis to combine eff ect estimates from published and unpublished data. Findings We included 25 studies from 24 cohorts in Europe, the USA, and Australia. The meta-analysis of coronary heart disease comprised data for 603 838 men and women who were free from coronary heart disease at baseline; the meta-analysis of stroke comprised data for 528 908 men and women who were free from stroke at baseline. Follow-up for coronary heart disease was 5·1 million person-years (mean 8·5 years), in which 4768 events were recorded, and for stroke was 3·8 million person-years (mean 7·2 years), in which 1722 events were recorded. In cumulative meta-analysis adjusted for age, sex, and socioeconomic status, compared with standard hours (35–40 h per week), working long hours (≥55 h per week) was associated with an increase in risk of incident coronary heart disease (relative risk [RR] 1·13, 95% CI 1·02–1·26; p=0·02) and incident stroke (1·33, 1·11–1·61; p=0·002). The excess risk of stroke remained unchanged in analyses that addressed reverse causation, multivariable adjustments for other risk factors, and diff erent methods of stroke ascertainment (range of RR estimates 1·30–1·42). We recorded a dose–response association for stroke, with RR estimates of 1·10 (95% CI 0·94–1·28; p=0·24) for 41–48 working hours, 1·27 (1·03–1·56; p=0·03) for 49–54 working hours, and 1·33 (1·11–1·61; p=0·002) for 55 working hours or more per week compared with standard working hours (ptrend<0·0001). Interpretation Employees who work long hours have a higher risk of stroke than those working standard hours; the association with coronary heart disease is weaker. These findings suggest that more attention should be paid to the management of vascular risk factors in individuals who work long hours

    Long working hours as a risk factor for atrial fibrillation: A multi-cohort study

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    Aims Studies suggest that people who work long hours are at increased risk of stroke, but the association of long working hours with atrial fibrillation, the most common cardiac arrhythmia and a risk factor for stroke, is unknown. We examined the risk of atrial fibrillation in individuals working long hours (>55 per week) and those working standard 35-40 hours per week. Methods In this prospective multi-cohort study from the Individual-Participant-Data Meta-analysis in and results Working Populations (IPD-Work) Consortium, the study population was 85,494 working men and women (mean age 43.4 years) with no recorded atrial fibrillation. Working hours were assessed at study baseline (1991-2004). Mean follow-up for incident atrial fibrillation was 10 years and cases were defined using data on electrocardiograms, hospital records, drug reimbursement registers, and death certificates. We identified 1061 new cases of atrial fibrillation (10-year cumulative incidence 12.4 per 1000). After adjustment for age, sex and socioeconomic status, individuals working long hours had a 1.4-fold increased risk of atrial fibrillation compared to those working standard hours (hazard ratio=1.42, 95%CI=1.13-1.80, P=0.003). There was no significant heterogeneity between the cohortspecific effect estimates (I2=0%, P=0.66) and the finding remained after excluding participants with coronary heart disease or stroke at baseline or during the follow-up (N=2006, hazard ratio=1.36, 95%CI=1.05-1.76, P=0. 0180). Adjustment for potential confounding factors, such as obesity, risky alcohol use and high blood pressure, had little impact on this association. Conclusion Individuals who worked long hours were more likely to develop atrial fibrillation than those working standard hours

    Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data

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    Background Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression. Methods We identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individuallevel data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) consortium. Summary estimates of the association were obtained using random effects models. Individual-level data analyses were based on a pre-published study protocol (F1000Res 2013;2:233). Results We included 6 published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published (Relative Risk [RR]= 1.77, 95% confidence interval [CI] 1.47-2.13) and unpublished datasets (RR=1.27, 95% CI 1.04-1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR=1.25, 95% CI: 0.94-1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR=1.03, 95% CI: 0.81- 1.32). Conclusion Job strain may precipitate clinical depression among employees. Future intervention studies

    Descriptive statistics for the main study variables.

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    <p>Values are given as means (SD) or percentage of the female healthcare workers (N = 8,732).</p>*<p>) Higher values indicate higher physical workloads.</p>§<p>) Higher values indicate higher levels of Emotional demands, Role conflicts, Influence at work and Quality of leadership.</p

    Hazard ratios (HR) and 95% confidence intervals for onset of long-term sickness absence during 12 months follow-up for the different levels of pain intensity (scale 0–9) for the low back, neck/shoulders, and knees.

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    <p>Model 1: Adjusted for age.</p><p>Model 2: Adjusted for age, BMI, smoking, and leisure physical activity.</p><p>Model 3: Adjusted for age, BMI, smoking, leisure physical activity, seniority, physical workload, and psychosocial work environment.</p

    The association between long working hours and stroke in the general workforce of Denmark – a study protocol

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    <p>Recently a large systematic review and meta-analysis of a variety of cohort studies from several different countries found that long working hours were prospectively associated with an increased risk of stroke in a dose-dependent manner [Kivimäki et al. 2015].</p> <p> </p> <p>The present study aims at testing if this finding can be reproduced in a large sample that has been randomly selected from the general workforce of Denmark.</p> <p> </p> <p>All inclusion criteria, statistical models and test criteria of the study are specified in this study protocol and, in accordance with recognised rules of good scientific and statistical practice, the protocol is published before the exposure data of the study are linked to the outcome data.</p
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