Individual Study / Druce et al.; JMIR Mhealth Uhealth. 2017

Cloudy with a Chance of Pain

Cloudy with a Chance of Pain

Initiatives -
Start Year
2016
Funding
This work was supported by Arthritis Research UK (grant number 21225); the Medical Research Council (MRC)’s Confidence in Concept Scheme (Grant number MC_PC_13070); the Arthritis Research UK Centre for Epidemiology and the Farr Institute @Health eResearch Centre (HeRC) (Grant number MR/K006665/1); MRC Clinician Scientist Award (Grant number G0902272 to W.G.D); and the National Institute for Health Research (NIHR) Manchester Musculoskeletal Biomedical Research Unit (for support of JS). This report includes independent research supported by the National Institute for Health Research Biomedical Research Unit Funding Scheme. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service (NHS), the National Institute for Health Research, or the Department of Health.

Design

Study design
Population cohort
Follow Up
After completion of digital consent, the app enabled participants to report their symptoms daily for 6 months, or longer if willing

Marker Paper

Druce KL, McBeth J, van der Veer SN, et al. Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study. JMIR Mhealth Uhealth. 2017;5(11):e168. Published 2017 Nov 1. doi:10.2196/mhealth.8162

PUBMED 29092810

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
1,000
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Participants who had chronic pain

Selection Criteria
Minimum age
17
Newborns
Twins
Countries
  • United Kingdom
Ethnic Origin
Health Status
  • Participants who had chronic pain

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
1,000
Number of participants with biosamples
Data Collection Event
Start Date
2016-01
End Date
2016-01
Data sources
  • Mobile data collection
    • Smartphone
    • Smartphone apps
  • Geospatial technology
    • Global navigation satellite systems (GNSS) (e.g. GPS, GLONASS, Galileo, etc.)