Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults
In this study, smartphone-based digital phenotyping was used to collect intensive longitudinal data on lifestyle and behavioral factors in 2 well-established prospective cohorts. Our assessment of adherence to smartphone-based data collection protocols over 1 year suggests that adherence in our study was either higher or similar to most previous studies with shorter follow-up periods and smaller sample sizes. Our efforts resulted in a large dataset on health behaviors that can be linked to spatial datasets to examine environmental and behavioral drivers of chronic disease.
Authors
- Jaime E. Hart (ORCID: https://orcid.org/0000-0002-0826-1163)
- Peter James (ORCID: https://orcid.org/0000-0002-2858-1973)
- Francine Laden (ORCID: https://orcid.org/0000-0002-2813-2174)
- Marta Karas (ORCID: https://orcid.org/0000-0001-5889-3970)
- Marcin Strączkiewicz (ORCID: https://orcid.org/0000-0002-8703-4451)
- Cindy Hu (ORCID: https://orcid.org/0000-0003-3432-7944)
- Li Yi (ORCID: https://orcid.org/0000-0001-6018-0793)
- Jukka‐Pekka Onnela (ORCID: https://orcid.org/0000-0001-6613-8668)
- Grete E. Wilt (ORCID: https://orcid.org/0000-0002-7145-6975)
- Jorge E. Chavarro (ORCID: https://orcid.org/0000-0002-4436-9630)
- Rachel Librett
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Harvard Pilgrim Health Care (US)
- University of California, Davis (US)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2024-10-11
- DOI
- https://doi.org/10.2196/55170
- Citations
- 13
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 11.04