Cloudy publications

The Cloudy with a Chance of Pain study was a smartphone-based study that investigated the relationship between weather and long-term pain. The study collected data from 2,658 participants over a 15-month period. Our research found a small effect in certain individuals that their pain levels increased in weather conditions associated with higher humidity, lower pressure, and stronger winds. These research results, and others, derive from the many peer-reviewed studies that we have published in scientific journals. Our published papers are listed below.

How the Weather Affects the Pain of Citizen Scientists Using a Smartphone App, published in npj Digital Medicine, 2019

Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study published in JMIR mHealth and uHealth, 2017

Using smartphones for research outside clinical settings: How operating systems, app developers and user determine geolocation data quality in mHealth studies published in MEDINFO, 2017

Cloudy with a Chance of Pain: Engagement and subsequent attrition of daily data entry in a smartphone pilot study of weather, disease severity, and physical activity in patients with rheumatoid arthritis published in JMIR mHealth and uHealth, 2017

The prevalence of pain flares: impact of definition published in Annals of the Rheumatic Diseases, 2018

Maximizing Engagement in Mobile Health Studies: Lessons Learned and Future Directions published in Rheumatic Disease Clinics of North America, 2019

Are weather conditions associated with chronic musculoskeletal pain? Review of results and methodologies published in PAIN, 2020

Weather Patterns Associated With Pain In Chronic-Pain Sufferers published in The Bulletin of the American Meteorological Society, 2020

Are weather conditions associated with chronic musculoskeletal pain? Review of results and methodologies published in PAIN, 2020

Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study published in JMIR mHealth and uHealth, 2021

Heterogeneity in the association between weather and pain severity among patients with chronic pain: A Bayesian multilevel regression analysis published in PAIN Reports, 2022

What do people living with chronic pain want from a pain forecast? A research prioritization study published in PLOS ONE, 2023

How Being Inside or Outside of Buildings Affects the Causal Relationship between Weather and Pain among People Living with Chronic Pain published in Weather, Climate, and Society, 2024

Identifying weekly trajectories of pain severity using daily data from an mHealth study: Cluster analysis published in Journal of Medical Internet Research mHealth and uHealth, 2024