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

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