Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48582, first published .
Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Claire L Little   1 , BSc, MA ;   David M Schultz   2, 3 , PhD ;   Thomas House   4 , PhD ;   William G Dixon   1, 5 , PhD ;   John McBeth   1, 5, 6 , PhD

1 Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom

2 Department of Earth and Environmental Sciences, Centre for Atmospheric Science, University of Manchester, Manchester, United Kingdom

3 Centre for Crisis Studies and Mitigation, University of Manchester, Manchester, United Kingdom

4 Department of Mathematics, University of Manchester, Manchester, United Kingdom

5 NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom

6 School of Primary Care, Population Sciences and Medical Education, University of Southamptom, Southampton, United Kingdom

Corresponding Author:

  • John McBeth, PhD
  • School of Primary Care, Population Sciences and Medical Education
  • University of Southamptom
  • University Road
  • Southampton, SO17 1BJ
  • United Kingdom
  • Phone: 1 02380595000
  • Email: john.mcbeth@southampton.ac.uk