| Literature DB >> 35145176 |
Lars L Andersen1,2, Sebastian V Skovlund3,4, Jonas Vinstrup3, Niels Geisle3, Stig I Sørensen3,5, Sannie V Thorsen3, Emil Sundstrup3.
Abstract
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.Entities:
Mesh:
Year: 2022 PMID: 35145176 PMCID: PMC8831624 DOI: 10.1038/s41598-022-06283-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Unweighted descriptive characteristics of the participants (N = 70,130) at baseline.
| N | % | Mean | SD | |
|---|---|---|---|---|
| 2012 | 19,709 | 28.1 | ||
| 2014 | 15,070 | 21.5 | ||
| 2016 | 18,228 | 26.0 | ||
| 2018 | 17,123 | 24.4 | ||
| 70,130 | 45.9 | 10.8 | ||
| Men | 33,292 | 47.5 | ||
| Women | 36,838 | 52.5 | ||
| Less than vocational or vocational education | 38,092 | 54.7 | ||
| Higher education | 31,591 | 45.3 | ||
| 67,982 | 25.7 | 4.4 | ||
| 68,394 | 5.2 | 3.3 | ||
| Yes, daily | 9943 | 14.5 | ||
| Yes, once in a while | 3554 | 5.2 | ||
| Ex-smoker | 19,797 | 29.0 | ||
| No, never | 35,090 | 51.3 | ||
| Work-life balance | 69,884 | 46.2 | 16.3 | |
| Influence at work | 70,072 | 78.8 | 19.0 | |
| Daily | 10,485 | 15.3 | ||
| Weekly | 12,067 | 17.6 | ||
| Monthly | 9667 | 14.1 | ||
| Seldomly | 21,095 | 30.7 | ||
| Never | 15,440 | 22.5 | ||
| 68,497 | 8.1 | 7.3 | ||
Values are percentage of participants or mean and standard deviations (SD).
Figure 1Left (a) Offer (broken lines) and use (full lines) of micro-exercise during (circles) and outside (squares) of working hours from 2012 to 2018 in the general working population without LTSA at baseline. Right (b) Uptake of micro-exercise during and outside of working hours (percentage users among those offered). All numbers of weighted percentages representative of the general working population in Denmark without prior long-term sickness absence.
Figure 2Offer and use of micro-exercise during working hours (weighted percentages) across different strata of education (Short = unskilled and skilled, Long = further education), sex (W = women, M = men) and age (18–49, + 50 years). Data pooled for the years 2012, 2014, 2016 and 2018.
Hazard ratios and 95% confidence intervals for the risk of long-term sickness absence during follow-up from use of micro-exercise during and outside of working hours.
| Using micro-exercise | N | Weighted percentage | HR (95% CI) | ||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| No | 62,652 | 90.2% | 1 | 1 | 1 |
| During working hours | 6750 | 8.8% | |||
| Outside working hours | 728 | 1.0% | 0.91 (0.68–1.21) | 0.90 (0.67–1.20) | 1.02 (0.67–1.57) |
Significant findings are marked in bold.
Model 1: Controlled for age, sex, education, survey year.
Model 2: Controlled for age, sex, education, survey year, lifestyle (BMI, smoking, leisure physical activity), psychosocial work factors (work-life balance and influence at work), depressive symptoms (MDI), and pain frequency.
Model 3: Sensitivity analysis of model 2, including only healthy individuals at baseline (normal MDI score, monthly or less frequent pain)(n = 45,570).