Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Work-Time Compositions of Physical Behaviors and Trajectories of Sick Leave Due to Musculoskeletal Pain

Bibliographic Data

ID15490535
AuthorsDavid Hallman (0000-0002-2741-1868, University of Gävle, corresponding author), Nidhi Gupta (0000-0003-3638-1645, National Research Centre for the Working Environment), Letícia Bergamin Januário (0000-0002-2844-3757, University of Gävle), Andreas Holtermann (0000-0003-4825-5697, National Research Centre for the Working Environment)
Year2021
Volume18
Issue4
Pages1508-1508
Publication date2021-02-05
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18041508
PMID33562531
OpenAlexW3128810792
LanguageEN
Citations received2
References cited35

We aimed to investigate the association between work-time compositions of physical behavior and sick leave trajectories due to musculoskeletal pain over one year. We conducted a secondary analysis using the data of 981 workers in a Danish prospective cohort (DPHACTO 2012-2014). At baseline, we assessed physical behaviors (sitting, standing, light physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)) at work and during leisure, using accelerometers. Over 1 year follow-up, workers reported sick-leave days due to musculoskeletal pain at 4-week intervals. Four distinct trajectories of sick leave were previously identified in this cohort ("no sick leave", "few days-increasing trajectory", "some days-decreasing trajectory", "some days-increasing trajectory"), and used as an outcome in multinomial regression models with work-time compositions as predictors, adjusted for compositions of behavior during leisure, age, sex, body mass index, and smoking habits. More time spent sitting relative to the other behaviors was negatively associated with the trajectory of few days-increasing sick leave ( p = 0.004), while time in LIPA was positively associated with the trajectory of some days-increasing sick leave ( p = 0.009). Standing and MVPA were not significantly associated with sick leave trajectories. In conclusion, work-time compositions with more sitting relative to the other behaviors had lower risk for an increasing trajectory of sick leave due to pain, while compositions with more LIPA had higher risk. This may have implications for prevention of pain-related sick leave in blue-collar workers

Absenteeism · Environmental health · Musculoskeletal pain · Occupational safety and health · Physical therapy · Poison control · Sick leave · Effects of Vibration on Health · Ergonomics and Musculoskeletal Disorders · Human Factors and Ergonomics · Medicine · Musculoskeletal pain and rehabilitation · Psychology · Social Psychology

  • An Exploratory Study on the Physical Activity Health Paradox—Musculoskeletal Pain and Cardiovascular Load during Work and Leisure in Construction and Healthcare Workers

    Open Access•Suzanne L Merkus, Pieter Coenen et al.•International Journal of…•2022

  • Development and Implementation of ‘Just Right’ Physical Behavior in Industrial Work Based on the Goldilocks Work Principle—A Feasibility Study

    Open Access•Anders Fritz Lerche, Svend Erik Mathiassen et al.•International Journal of…•2021

  • Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers

    Open Access•Sébastien Chastin, Sebastien F M Chastin et al.•PLoS ONE•2015

  • Compositional data analysis for physical activity, sedentary time and sleep research

    Open Access•Dorothea Dumuid, Ty Stanford et al.•Statistical Methods in Medical…•2018

  • Bias reduction of maximum likelihood estimates

    David Firth•Biometrika•1993

  • The health paradox of occupational and leisure-time physical activity

    Andreas Holtermann, Jørgen Vinsløv Hansen et al.•British Journal of Sports Medicine•2012

  • The Statistical Analysis of Compositional Data

    Open Access•J Aitchison•Journal of the Royal Statistical…•1982

  • Calibration of Self-Reported Time Spent Sitting, Standing and Walking among Office Workers

    Open Access•David Hallman, Svend Erik Mathiassen et al.•International Journal of…•2019

  • Technically measured compositional physical work demands and prospective register-based sickness absence (Podesa)

    Open Access•Sofie Dencker-Larsen, Charlotte Lund Rasmussen et al.•BMC Public Health•2019

Citations per year0.4
Citation span2021 - 2022 (2)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae