4.3 Article

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

Publisher

MDPI
DOI: 10.3390/ijerph19052751

Keywords

cardiovascular load; physically demanding work; musculoskeletal disorders; compositional data analysis; healthcare sector; construction industry; occupational physical activity; leisure time physical activity

Funding

  1. Norges Forskningsrad (The Research Council of Norway) [218358]

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This exploratory study used a novel approach to investigate whether the PA paradox extends to cardiovascular load and musculoskeletal pain. The study found that workers who spent more time in physical activity at work experienced higher levels of pain, while those who engaged in more physical activity during leisure time had less pain.
Using a novel approach, this exploratory study investigated whether the physical activity (PA) paradox extends to cardiovascular load and musculoskeletal pain. At baseline, 1-2 days of 24 h heart rate was assessed in 72 workers from construction and healthcare. Workers then reported pain intensity in 9 body regions (scale 0-3) every 6 months for two years. The 2 year average of musculoskeletal pain (sum of 9 pain scores; scale 0-27) was regressed on time spent during work and leisure above three thresholds of percentage heart rate reserve (%HRR), i.e., >= 20 %HRR, >= 30 %HRR, and >= 40 %HRR, using a novel ilr structure in compositional data analysis. Analyses were stratified for several important variables. Workers spending more time in physical activity at work had higher pain, while workers with more time in physical activity during leisure had less pain (i.e., the PA paradox), but none of the associations were statistically significant. Higher aerobic capacity and lower body mass index lowered the pain score among those with higher physical activity at work. This exploratory study suggests that the PA paradox may apply to musculoskeletal pain and future studies with larger sample sizes and additional exposure analyses are needed to explain why this occurs.

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