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

Formative Evaluation of Digital Health Interventions (2875) Artificial Intelligence (1788) Machine Learning (1781) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (924)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37054, first published .
Feasibility of Conducting Long-term Health and Behaviors Follow-up in Adolescents: Longitudinal Observational Study

Feasibility of Conducting Long-term Health and Behaviors Follow-up in Adolescents: Longitudinal Observational Study

Feasibility of Conducting Long-term Health and Behaviors Follow-up in Adolescents: Longitudinal Observational Study

Authors of this article:

Giovanni Cucchiaro1 Author Orcid Image ;   Luis Ahumada1 Author Orcid Image ;   Geoffrey Gray1 Author Orcid Image ;   Jamie Fierstein1 Author Orcid Image ;   Hannah Yates1 Author Orcid Image ;   Kym Householder1 Author Orcid Image ;   William Frye1 Author Orcid Image ;   Mohamed Rehman1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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  1. Kuo F, Tudor B, Gray G, Ahumada L, Rehman M, Watkins S. Precision Anesthesia in 2050. Anesthesia & Analgesia 2024;138(2):326 View
  2. Ransom D, Tudor B, Irani S, Rehman M, Suskauer S, Mularoni P, Ahumada L. Feasibility of Data Collection Via Consumer-Grade Wearable Devices in Adolescent Student Athletes: Prospective Longitudinal Cohort Study. JMIR Formative Research 2025;9:e54630 View