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

Innovative Methods in Public Health and Surveillance (383) Digital Biomarkers and Digital Phenotyping (284) Ecological Momentary Assessment (EMA) (405) Mobile Health (mhealth) (3464) Wearable Devices and Sensors (1133) Longitudinal and Cohort Studies in Public Health (411)

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 (8) Tweetations Metrics

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
  2. Mitsunami M, Hart J, Chavarro J. Environmental Hazards and Male Fertility: Why Don't We Know More?. Seminars in Reproductive Medicine 2024;42(04):302 View
  3. Yi L, Hart J, Roscoe C, Mehta U, Pescador Jimenez M, Lin P, Suel E, Hystad P, Hankey S, Zhang W, Okereke O, Laden F, James P. Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery. Environment International 2025;198:109429 View
  4. Yi L, Trudel-Fitzgerald C, Hu C, Wilt G, Chavarro J, Onnela J, Grodstein F, Kubzansky L, James P. Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women. JMIR mHealth and uHealth 2025;13:e71375 View
  5. Zawada S, Acosta J, Collins C, Dumitrascu O, Harahsheh E, Hagen C, Ganjizadeh A, Mahmoudi E, Erickson B, Demaerschalk B. Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study. Mayo Clinic Proceedings: Digital Health 2025;3(3):100240 View
  6. Yi L, Hart J, Wilt G, Hu C, Jimenez M, Lin P, Suel E, Hystad P, Hankey S, Zhang W, Chavarro J, Laden F, James P. GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women. International Journal of Behavioral Nutrition and Physical Activity 2025;22(1) View
  7. Folgado D, Rocha P, Matias P, Liebeatrau D, Nunes F, Rocha T, Alves I, Lopes D, Carvalho M, Miranda B, Carreiro A. HomeSenseALS: A Mobile Sensing and Self-Monitoring System to Monitor Patients with ALS in Everyday Life. ACM Transactions on Computing for Healthcare 2025;6(4):1 View
  8. Iyer H, Karasaki S, Yi L, Hswen Y, James P, VoPham T. Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review. Current Environmental Health Reports 2025;12(1) View