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

a study protocol

Sofie Dencker-Larsen*, Charlotte Lund Rasmussen, Sannie Vester Thorsen, Els Clays, Thomas Lund, Merete Labriola, Ole Steen Mortensen, Marie Birk Jørgensen, Nidhi Gupta, Charlotte Diana Nørregaard Rasmussen, Andreas Holtermann

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

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.

Original languageEnglish
Article number257
JournalBMC Public Health
Volume19
Number of pages8
ISSN1471-2458
DOIs
Publication statusPublished - 4. Mar 2019

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Health
Codependency (Psychology)

Keywords

  • Accelerometers
  • Compositional data analysis (CoDA)
  • Physical activity at work
  • Sick-leave
  • Time-use epidemiology
  • Prospective Studies
  • Occupational Health
  • Humans
  • Middle Aged
  • Self Report
  • Male
  • Workplace/statistics & numerical data
  • Sick Leave/statistics & numerical data
  • Absenteeism
  • Occupations/statistics & numerical data
  • Denmark
  • Adult
  • Female

Cite this

Dencker-Larsen, S., Rasmussen, C. L., Thorsen, S. V., Clays, E., Lund, T., Labriola, M., ... Holtermann, A. (2019). Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA): a study protocol. BMC Public Health, 19, [257]. https://doi.org/10.1186/s12889-019-6581-z
Dencker-Larsen, Sofie ; Rasmussen, Charlotte Lund ; Thorsen, Sannie Vester ; Clays, Els ; Lund, Thomas ; Labriola, Merete ; Mortensen, Ole Steen ; Jørgensen, Marie Birk ; Gupta, Nidhi ; Rasmussen, Charlotte Diana Nørregaard ; Holtermann, Andreas. / Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA) : a study protocol. In: BMC Public Health. 2019 ; Vol. 19.
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abstract = "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.",
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author = "Sofie Dencker-Larsen and Rasmussen, {Charlotte Lund} and Thorsen, {Sannie Vester} and Els Clays and Thomas Lund and Merete Labriola and Mortensen, {Ole Steen} and J{\o}rgensen, {Marie Birk} and Nidhi Gupta and Rasmussen, {Charlotte Diana N{\o}rregaard} and Andreas Holtermann",
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Dencker-Larsen, S, Rasmussen, CL, Thorsen, SV, Clays, E, Lund, T, Labriola, M, Mortensen, OS, Jørgensen, MB, Gupta, N, Rasmussen, CDN & 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

Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA) : a study protocol. / Dencker-Larsen, Sofie; Rasmussen, Charlotte Lund; Thorsen, Sannie Vester; Clays, Els; Lund, Thomas; Labriola, Merete; Mortensen, Ole Steen; Jørgensen, Marie Birk; Gupta, Nidhi; Rasmussen, Charlotte Diana Nørregaard; Holtermann, Andreas.

In: BMC Public Health, Vol. 19, 257, 04.03.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Technically measured compositional physical work demands and prospective register-based sickness absence (PODESA)

T2 - a study protocol

AU - Dencker-Larsen, Sofie

AU - Rasmussen, Charlotte Lund

AU - Thorsen, Sannie Vester

AU - Clays, Els

AU - Lund, Thomas

AU - Labriola, Merete

AU - Mortensen, Ole Steen

AU - Jørgensen, Marie Birk

AU - Gupta, Nidhi

AU - Rasmussen, Charlotte Diana Nørregaard

AU - Holtermann, Andreas

PY - 2019/3/4

Y1 - 2019/3/4

N2 - 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.

AB - 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.

KW - Accelerometers

KW - Compositional data analysis (CoDA)

KW - Physical activity at work

KW - Sick-leave

KW - Time-use epidemiology

KW - Prospective Studies

KW - Occupational Health

KW - Humans

KW - Middle Aged

KW - Self Report

KW - Male

KW - Workplace/statistics & numerical data

KW - Sick Leave/statistics & numerical data

KW - Absenteeism

KW - Occupations/statistics & numerical data

KW - Denmark

KW - Adult

KW - Female

U2 - 10.1186/s12889-019-6581-z

DO - 10.1186/s12889-019-6581-z

M3 - Journal article

VL - 19

JO - B M C Public Health

JF - B M C Public Health

SN - 1471-2458

M1 - 257

ER -