This paper is in the following e-collection/theme issue:

Innovative Methods in Public Health and Surveillance (322) Digital Biomarkers and Digital Phenotyping (182) Ecological Momentary Assessment (EMA) (304) Mobile Health (mhealth) (2870) Wearable Devices and Sensors (867) Longitudinal and Cohort Studies in Public Health (300)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55170, first published .
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

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

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

Authors of this article:

Li Yi1, 2 Author Orcid Image ;   Jaime E Hart3, 4 Author Orcid Image ;   Marcin Straczkiewicz5 Author Orcid Image ;   Marta Karas5 Author Orcid Image ;   Grete E Wilt3 Author Orcid Image ;   Cindy R Hu3 Author Orcid Image ;   Rachel Librett1 Author Orcid Image ;   Francine Laden3, 4 Author Orcid Image ;   Jorge E Chavarro1, 4 Author Orcid Image ;   Jukka-Pekka Onnela5 Author Orcid Image ;   Peter James2, 3, 6 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Li Yi   1, 2 , PhD ;   Jaime E Hart   3, 4 , ScD ;   Marcin Straczkiewicz   5 , PhD ;   Marta Karas   5 , PhD ;   Grete E Wilt   3 , PhD ;   Cindy R Hu   3 , BA ;   Rachel Librett   1 , MPH ;   Francine Laden   3, 4 , ScD ;   Jorge E Chavarro   1, 4 , MD, ScD ;   Jukka-Pekka Onnela   5 , PhD ;   Peter James   2, 3, 6 , ScD

1 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States

2 Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States

3 Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States

4 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States

5 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States

6 Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States

Corresponding Author: