Publications by authors named "Jonas Kirchheiner Rasmussen"

Article Synopsis
  • The study investigates the link between self-reported workplace bullying and various hospital-diagnosed mental disorders as well as the use of psychotropic medications.
  • Analyzing data from over 75,000 participants, researchers found that workplace bullying significantly increased the risk of mental disorders, particularly mood and stress-related disorders, especially among women.
  • The findings suggest that individuals experiencing workplace bullying are more likely to be prescribed psychotropic drugs, highlighting the serious mental health implications of bullying in the workplace.
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Background: This study explores the impact of decentralized management on the sickness absence among healthcare professionals. Sickness absence is a reliable indicator of employees' wellbeing and it is linked to management quality. However, the influence of decentralized management on sickness absence has not been adequately studied.

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Objectives: Working few hours a week, known as marginal part-time work, may increase both job and income insecurity, which have been linked to the risk of depression. This study examines the association between marginal part-time work and depression and the mediating role of job and income insecurity.

Methods: We included 30 523 respondents of the Danish Labor Force Survey (DLFS) between 2010 and 2017 and linked them to register-based information on weekly working hours, which was used to identify full-time workers and model group-based trajectories of marginal part-time.

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This longitudinal study examined the labor market affiliations of marginal part-time workers (<15 working hours/week) compared with full-time workers (32−40 working hours/week) within gender and age groups. Analyses were based on 1,492,187 Danish employees with marginal part-time or full-time work at baseline using register data of working hours and labor market affiliation from the Labor Market Account. We used the Expected Labor Market Affiliation method within gender and age groups to estimate the time spent in different labor market states over a 5-year follow-up from 2012−2017.

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