Exposure to prolonged sedentary behavior on weekdays rather than weekends in white-collar workers in comparison with blue-collar workers

J Occup Health. 2021 Jan;63(1):e12246. doi: 10.1002/1348-9585.12246.

Abstract

Objectives: Objectively measured sedentary behavior (SB) on weekdays and weekends has been mainly assessed in white-collar workers, while data in blue-collar workers are sparse. Therefore, this study presented the difference in accelerometer-measured SB levels between weekdays and weekends, stratified by white- and blue-collar occupations.

Methods: This study was a sub-analysis of accelerometer data from 73 workers (31 blue-collar and 42 white-collar) at a Japanese manufacturing plant. SB was defined as ≤1.5 metabolic equivalents estimated using an accelerometer, and compared between weekdays and weekends by using mixed models adjusted for confounders. The proportion of workers who sat for ≤8 h/day on weekdays and weekends were compared using McNemar's test.

Results: In white-collar workers, SB time on weekdays was significantly longer than that on weekends (598 vs 479 min/day, P < .001). In blue-collar workers, there was no significant difference in SB time between weekdays and weekends (462 vs 485 min/day, P = .43). The proportion of workers who achieved the recommended SB levels (≤8 h) was only 4.8% for white-collar workers on weekdays and 54.8% on weekends (P = .04), while that of blue-collar workers was 45.2% and 58.1% respectively (P > .99).

Conclusions: White-collar workers were exposed to significantly longer SB time on weekdays than on weekends, which was not the case in blue-collar workers. It may be rather challenging for white-collar workers to limit their SB time to the level recommended by the latest guidelines for better health, especially on weekdays.

Keywords: accelerometer; blue-collar workers; physical activity; weekdays; weekends.

Publication types

  • Comparative Study

MeSH terms

  • Accelerometry / statistics & numerical data*
  • Adolescent
  • Adult
  • Aged
  • Exercise
  • Female
  • Humans
  • Male
  • Manufacturing and Industrial Facilities
  • Middle Aged
  • Occupations / statistics & numerical data*
  • Sedentary Behavior*
  • Time Factors*
  • Work / physiology*
  • Young Adult