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Occupational physical activity across occupational categories.

R Steele1, K Mummery

  • 1Central Queensland University, Faculty of Arts, Health and Sciences, School of Health and Human Performance, Rockhampton, Queensland, Australia.

Journal of Science and Medicine in Sport
|January 16, 2004
PubMed
Summary
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Blue-collar workers engage in significantly more occupational physical activity (OPA) than white-collar and professional workers. This difference was confirmed by both questionnaires and pedometer step counts, highlighting variations in daily activity levels across job types.

Area of Science:

  • Occupational Health
  • Physical Activity Research
  • Sports Science

Background:

  • Understanding physical activity levels during working hours is crucial for occupational health.
  • Previous research indicates potential disparities in physical activity across different job sectors.

Purpose of the Study:

  • To investigate occupational differences in physical activity during normal working hours.
  • To compare physical activity levels across professional, white-collar, and blue-collar occupations.

Main Methods:

  • Utilized the Tecumseh Occupational Physical Activity Questionnaire (TOQ) to measure past year Occupational Physical Activity (OPA).
  • Employed a motion-sensing device (Yamax DigiWalker Pedometer SW - 700) to capture daily step counts.
  • Stratified 90 participants (aged 18-62) into professional, white-collar, and blue-collar categories based on the Australian Standard Classification of Occupations (ASCO).

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Main Results:

  • Significant increases in walking activity and OPA were observed from professional (least active) to blue-collar workers (most active) (p < .05).
  • Mean daily step counts were 2,835 (professional), 3,616 (white-collar), and 8,757 (blue-collar).
  • TOQ scores showed similar patterns, with blue-collar workers reporting significantly higher OPA than other groups (p < .05).
  • Strong correlations were found between pedometer data and TOQ scores (r = .38–.74, p < .01).

Conclusions:

  • Occupational category is a significant determinant of physical activity levels during working hours.
  • Blue-collar occupations are associated with substantially higher physical activity compared to professional and white-collar roles.
  • Both self-reported questionnaires and objective motion-sensing devices confirm these occupational differences in physical activity.