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This study assesses the potential of workplace-based micro-exercise (brief and simple exercise bouts) to prevent long-term sickness absence (LTSA) at the population level. In the Work Environment and Health in Denmark Study (2012-2018), we followed 70,130 workers from the general working population, without prior LTSA, for two years in the Danish Register for Evaluation of Marginalisation. We used Cox regression with model-assisted weights and controlled for various confounders. From 2012 to 2018, the percentage of workers in Denmark using workplace-based micro-exercise during and outside of working hours increased from 7.1 to 10.9% and from 0.8 to 1.4%, respectively. The incidence of long-term sickness absence (at least 30 days) was 8.4% during follow-up. The fully adjusted model showed reduced risk of long-term sickness absence from using micro-exercise during working hours, (HR 0.86, 95% CI 0.77-0.96), but not when used outside of working hours. If used by all workers, micro-exercise during working hours could potentially prevent 12.8% of incident long-term sickness absence cases (population attributable fraction). In conclusion, micro-exercise performed during working hours holds certain potential to prevent incident long-term sickness absence in the general working population. Large-scale implementation of workplace-based micro-exercise may represent an unexploited opportunity for public health promotion.
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http://dx.doi.org/10.1038/s41598-022-06283-8 | DOI Listing |
J Occup Rehabil
September 2025
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Purpose: This study investigates factors associated with receiving return-to-work (RTW) coordination within primary healthcare and the association between received RTW coordination and the amount of sickness absence (SA) days.
Methods: This register study included 13019 people who had SA at some time between March 2019 and February 2020 and visited a primary healthcare clinic that employed a RTW coordinator. Logistic regressions were used to investigate received RTW coordination.
Soc Psychiatry Psychiatr Epidemiol
August 2025
Department of Economics, Accounting and Finance, University of Oulu, Oulu, Finland.
Purpose: Anorexia nervosa (AN) is one of the most severe mental disorders in adolescence, yet it generally has a favourable long-term prognosis. However, evidence on the long-term labour market outcomes of AN is scarce and has several key limitations. This study aimed to provide a comprehensive assessment of the current long-term labour market outcomes of AN, examining unemployment, sickness absences, and income up to age 33.
View Article and Find Full Text PDFJ Hum Nutr Diet
August 2025
London School of Hygiene and Tropical Medicine, London, UK.
Introduction: Poor diets are a remediable risk factor for non-communicable diseases. Sickness absence rates for national health service (NHS) staff are substantially higher than the public sector average (5.6% vs.
View Article and Find Full Text PDFEur J Public Health
August 2025
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Few studies have examined the implications of the Covid-19 pandemic on mental health across different employment branches. This study investigated the impact of the pandemic on long-term sickness absence (SA) with common mental disorders (CMDs) and antidepressant prescriptions in different employment branches and age groups in Sweden. Using national registers, we observed the Swedish population (18-65 years) with gainful employment quarterly from 2018 to 2021.
View Article and Find Full Text PDFBMC Public Health
August 2025
Department of Promotional and Preventive Work, Finnish Institute for Health and Welfare, Mannerheimintie 166, Helsinki, 00300, Finland.
Background: Although past research has shown a strong association between gambling participation and harms, relatively few studies have attempted to quantify the cost of these harms to society. The need to quantify costs has been identified in several countries, however, no consensus exists in the field of gambling studies on how one should estimate them.
Methods: Three methods were selected for costs calculations: Causality adjustment factors (with two variations: CAF 80%/ CAF 50%), Excess costs, and a method based on Bayes theorem.