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

Innovative Methods in Public Health and Surveillance (336) Digital Biomarkers and Digital Phenotyping (198) Ecological Momentary Assessment (EMA) (321) Mobile Health (mhealth) (2982) Wearable Devices and Sensors (903) Longitudinal and Cohort Studies in Public Health (316)

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
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Journals

  1. Yi L, Rifas-Shiman S, Pescador Jimenez M, Lin P, Suel E, Hystad P, Larkin A, Hankey S, Zhang W, Klompmaker J, Oken E, Hivert M, Aris I, James P. Assessing greenspace and cardiovascular health through deep-learning analysis of street-view imagery in a cohort of US children. Environmental Research 2025;265:120459 View