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Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data

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Listed:
  • Charlotte Lund Rasmussen
  • Javier Palarea-Albaladejo
  • Mette Korshøj
  • Nidhi Gupta
  • Kirsten Nabe-Nielsen
  • Andreas Holtermann
  • Marie Birk Jørgensen

Abstract

Objective: This study aimed to investigate the hypothesized negative association between duration of work time spent at a high relative aerobic workload and leisure time movement behaviours among blue-collar workers. Methods: This was a cross-sectional study based on heart rate and accelerometer data from 803 blue-collar workers (447 men and 356 women). Relative aerobic workload was measured as percentage of heart rate reserve during work (%HRR). Leisure time movement behaviours were expressed in terms of leisure time spent in sedentary and active behaviours in uninterrupted bouts (i.e. 30 min). Compositional regression and isotemporal substitution models were used to assess the association between the predominance of work time spent at ≥40%HRR and leisure time spent in sedentary and active bouts. All analyses were stratified by sex. Results: For men, there was no statistically significant association between the predominance of work time spent at ≥40%HRR and leisure time movement behaviours. Among women, the predominance of ≥40%HRR at work was negatively associated with relative leisure time spent in ≥10 min bouts of active behaviour (β^ = -0.21, p = 0.02) and a theoretical 15 min reallocation of work time from

Suggested Citation

  • Charlotte Lund Rasmussen & Javier Palarea-Albaladejo & Mette Korshøj & Nidhi Gupta & Kirsten Nabe-Nielsen & Andreas Holtermann & Marie Birk Jørgensen, 2019. "Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    • Handle: RePEc:plo:pone00:0217024
    DOI: 10.1371/journal.pone.0217024
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    References listed on IDEAS

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    1. Stefanie Brighenti-Zogg & Jonas Mundwiler & Ulla Schüpbach & Thomas Dieterle & David Paul Wolfer & Jörg Daniel Leuppi & David Miedinger, 2016. "Physical Workload and Work Capacity across Occupational Groups," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-17, May.
    2. K. Hron & P. Filzmoser & K. Thompson, 2012. "Linear regression with compositional explanatory variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(5), pages 1115-1128, November.
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    Cited by:

    1. Margo Ketels & Charlotte Lund Rasmussen & Mette Korshøj & Nidhi Gupta & Dirk De Bacquer & Andreas Holtermann & Els Clays, 2020. "The Relation between Domain-Specific Physical Behaviour and Cardiorespiratory Fitness: A Cross-Sectional Compositional Data Analysis on the Physical Activity Health Paradox Using Accelerometer-Assesse," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    2. Christine W. St. Laurent & Sarah Burkart & Katrina Rodheim & Robert Marcotte & Rebecca M. C. Spencer, 2020. "Cross-Sectional Associations of 24-Hour Sedentary Time, Physical Activity, and Sleep Duration Compositions with Sleep Quality and Habits in Preschoolers," IJERPH, MDPI, vol. 17(19), pages 1-13, September.

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