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Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study.

Ting-Chen Chloe Hsu1, Belay B Yimer1, Pauline Whelan2

  • 1Centre for Musculoskeletal Research, The University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom, 44 161-306-6000.

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Summary

Mobile health (mHealth) technology helps track rheumatoid arthritis (RA) pain flares. Worsening mood and sleep variability predict flares, offering new monitoring and management strategies for RA patients.

Keywords:
mHealthmobile healthmusculoskeletalpain flarespatient-generated dataphysical activityquality of liferheumatoid arthritissleepsmartphonewearable

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Area of Science:

  • Rheumatology and Digital Health
  • Biomedical Data Science
  • Chronic Disease Management

Background:

  • Rheumatoid arthritis (RA) involves chronic pain flares impacting well-being.
  • Mobile health (mHealth) offers continuous health monitoring.
  • mHealth can reveal individual pain patterns and triggers in RA.

Purpose of the Study:

  • Characterize pain flares in RA using mHealth data.
  • Identify factors associated with RA pain flares.
  • Explore temporal symptom changes linked to pain flares.

Main Methods:

  • 30-day mHealth study using smartphone app and accelerometer.
  • Daily pain severity and symptom tracking (1-5 scale).
  • Case-crossover analysis of symptom variations preceding pain flares.

Main Results:

  • 195 RA participants contributed 5290 days of data.
  • Most participants experienced pain flares (AA, AT, MAT definitions).
  • Worsening mood, anxiety variability, and sleepiness variability correlated with increased flare likelihood.

Conclusions:

  • Pain flares are common in RA.
  • Sleep and emotional distress changes are linked to RA pain flares.
  • mHealth data facilitates timely monitoring and personalized RA management.