ERJ Open Research (Nov 2023)

The association of weather conditions with day-to-day variability in physical activity in patients with COPD

  • Astrid Blondeel,
  • Fien Hermans,
  • Sofie Breuls,
  • Marieke Wuyts,
  • Nikolaas De Maeyer,
  • Thessa Verniest,
  • Eric Derom,
  • Ben Van Calster,
  • Wim Janssens,
  • Thierry Troosters,
  • Heleen Demeyer

DOI
https://doi.org/10.1183/23120541.00314-2023
Journal volume & issue
Vol. 9, no. 6

Abstract

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Background While patients with COPD often cite weather conditions as a reason for inactivity, little is known about the relationship between physical activity (PA) and weather conditions. The present study investigated the association of day-to-day weather changes on PA in patients with COPD and investigated patient characteristics related to being more or less influenced by weather conditions. Methods In this longitudinal analysis, device-based day-by-day step counts were objectively measured in COPD patients for up to 12 months. Daily meteorological data (temperature, precipitation, wind speed, hours of sunlight and daylight) were linked to the daily step count and individual and multivariable relationships were investigated using mixed-model effects. Individual R2 was calculated for every subject to investigate the estimated influence of weather conditions on a patient level and its relationship with patient characteristics. Results We included 50 patients with a mean±sd follow-up time of 282±93 days, totalling 14 117 patient-days. Daily temperature showed a positive linear pattern up until an inflexion point, after which a negative association with increasing temperature was observed (p<0.0001). Sunshine and daylight time had a positive association with PA (p<0.0001). Precipitation and wind speed were negatively associated with PA (p<0.0001). The median per-patient R2 for overall weather conditions was 0.08, ranging from 0.00 to 0.42. No strong associations between patient characteristics and per-patient R2 were observed. Conclusion Weather conditions are partly associated with PA in patients with COPD, yet the overall explained variance of PA due to weather conditions is rather low and varied strongly between individuals.