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mHealth for Data Collection and Research (1708)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33890, first published .
Young man in casual wear checks his smartphone while sitting outdoors with a bicycle.

Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study

Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study

Authors of this article:

Benny Ren1 Author Orcid Image ;   Cedric Huchuan Xia2, 3 Author Orcid Image ;   Philip Gehrman3, 4 Author Orcid Image ;   Ian Barnett1 Author Orcid Image ;   Theodore Satterthwaite2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

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  2. Hackett K, Xu S, McKniff M, Paglia L, Barnett I, Giovannetti T. Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. JMIR Human Factors 2024;11:e59974 View
  3. Xie R, Rush S, Satterthwaite T, Barnett I. Modeling self-exciting diurnal processes with applications to smartphone use in populations with affective disorders. Journal of Applied Statistics 2026:1 View
  4. Soehner A, McMakin D, Jalbrzikowski M, Wallace M. Precision sleep signatures to predict mental health outcomes in youth. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2026 View