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Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA): a
Sofie Dencker-Larsen1, Charlotte Lund Rasmussen2,3, Sannie Vester Thorsen2
1National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen, Denmark. sdl@nrcwe.dk.
This study investigates how combinations of physically demanding work, measured accurately, relate to short- and long-term sickness absence. Findings will inform better workplace prevention strategies.
Area of Science:
- Occupational Health
- Epidemiology
- Biostatistics
Background:
- Previous studies on physical work demands and sickness absence often used inaccurate self-reported data.
- Existing research frequently overlooked the interdependent, compositional nature of physical work demands.
- Research has primarily focused on long-term sickness absence, neglecting short-term episodes.
Purpose of the Study:
- To investigate the association between technically measured compositional physical work demands and sickness absence.
- To analyze both long-term and short-term prospective sickness absence data.
- To utilize a novel Compositional Data Analysis approach for understanding work demand interactions.
Main Methods:
- The study utilizes data from the Physical wOrk DEmands and prospective association with register-based Sickness Absence (PODESA) study, including two Danish cohorts.
- Baseline data from 1108 workers (2011-2014) include accelerometer-based measurements of physical work demands and self-reported information.
- Prospective register-based sickness absence data were collected for up to four years post-baseline and analyzed using Compositional Data Analysis.
Main Results:
- The PODESA study is uniquely positioned to identify specific combinations of physical work demands linked to sickness absence.
- Technically measured physical work demands, considering their compositional nature, are being analyzed against prospective sickness absence data.
- Expected results will elucidate the complex relationships between various physical work exposures and absence patterns.
Conclusions:
- PODESA's findings will provide a more accurate understanding of how physical work demands influence sickness absence.
- The study's methodology accounts for the interplay between different physical work exposures.
- Results are anticipated to guide the development of more effective preventive interventions for workplace sickness absence.
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