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

Formative Evaluation of Digital Health Interventions (2371) Artificial Intelligence (1342) Machine Learning (1442) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (820)

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

Journals

  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, Mularoni P, Ahumada L. Longitudinal Data Collection via Consumer-Grade Wearable Sensors in Adolescent Student-Athletes: Feasibility and Potential (Preprint). JMIR Formative Research 2023 View