Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA): a study protocol
Autor: | Ole Steen Mortensen, Els Clays, Sannie Vester Thorsen, Sofie Dencker-Larsen, Andreas Holtermann, Charlotte Diana Nørregaard Rasmussen, Marie Birk Jørgensen, Merete Labriola, Charlotte Lund Rasmussen, Nidhi Gupta, Thomas Lund |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Gerontology
Male Denmark Sick-leave Social Sciences FUTURE DISABILITY PENSION Study Protocol 0302 clinical medicine Workplace/statistics & numerical data Absenteeism Medicine and Health Sciences Medicine 030212 general & internal medicine Prospective Studies Time-use epidemiology Workplace POPULATION education.field_of_study lcsh:Public aspects of medicine SEDENTARY BEHAVIOR ASSOCIATION Middle Aged Physical work Sick leave Cohort SHORT-TERM Female Sick Leave Adult EXPOSURES Sick Leave/statistics & numerical data Population 030209 endocrinology & metabolism Physical activity at work Occupations/statistics & numerical data 03 medical and health sciences LEAVE Humans Occupations VALIDITY education Baseline (configuration management) Occupational Health Protocol (science) Descriptive statistics business.industry Public Health Environmental and Occupational Health Compositional data analysis (CoDA) PSYCHOSOCIAL RISK-FACTORS lcsh:RA1-1270 MARKER Self Report Biostatistics Accelerometers business |
Zdroj: | BMC PUBLIC HEALTH Dencker-Larsen, S, Rasmussen, C L, Thorsen, S V, Clays, E, Lund, T, Labriola, M, Mortensen, O S, Jørgensen, M B, Gupta, N, Rasmussen, C D N & Holtermann, A 2019, ' Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA) : a study protocol ', BMC Public Health, vol. 19, 257 . https://doi.org/10.1186/s12889-019-6581-z BMC Public Health Dencker-Larsen, S, Rasmussen, C L, Thorsen, S V, Clays, E, Lund, T, Labriola, M, Mortensen, O S, Jørgensen, M B, Gupta, N, Rasmussen, C L & Holtermann, A 2019, ' Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA) : a study protocol ', BMC Public Health, vol. 19, 257 . https://doi.org/10.1186/s12889-019-6581-z BMC Public Health, Vol 19, Iss 1, Pp 1-8 (2019) |
ISSN: | 1471-2458 |
Popis: | Background: Various physical work demands are shown to be associated with sickness absence. However, these studies have: (a) predominantly used self-reported data on physical work demands that have been shown to be inaccurate compared with technical measurements, (b) principally focused on various physical work demands in 'isolation', i.e. ignoring their co-dependency - compositional nature -, and (c) mainly used register data on long-term sickness absence. The present article describes the protocol of a study with the objective of investigating the association between technically measured compositional data on physical work demands and prospective long- and short-term register-based data on sickness absence. Methods: 'The technically measured compositional Physical wOrk DEmands and prospective association with register-based Sickness Absence study (PODESA)' comprises data from two Danish cohorts (NOMAD and DPhacto) primarily on blue-collar workers. In the PODESA cohort, data on 1108 workers were collected at baseline (between 2011 and 2014). The cohort data comprise, e.g., self-reported information on descriptives, lifestyle, workday, and health, as well as accelerometer-based measurements of physical work demands (physical activity, movements, and postures). These baseline measurements are linked with prospective register-based data on sickness absence for up to four years after baseline. The prospective association between physical work demands and sickness absence will be analysed using a Compositional Data Analysis approach. Discussion: PODESA provides a unique possibility of unravelling which combinations of physical work demands are associated with prospective sickness absence. PODESA employs technically measured information on physical work demands (taking into account the compositionality of physical work demand data) and prospective sickness absence data. The findings from PODESA can be used to develop strengthened preventive interventions for sickness absence. Results are expected in 2019-2021. |
Databáze: | OpenAIRE |
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