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Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41412, first published .
Young man in an orange hoodie smiles while looking at his phone, with a brick wall behind him.

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study

Journals

  1. Murray A, Xie T, Power L, Condon L. Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study: The MHIM engagement strategy. Health Expectations 2024;27(3) View
  2. Xiao Z, Robertson S, Long E, Flaig R, Kirby L, Romaniuk L, Murray A, Whalley H. Loneliness in the Digital World: protocol for a co-produced ecological momentary assessment study in adolescents. BMJ Open 2024;14(6):e087374 View
  3. Gunn R, Metrik J, Barnett N, Jackson K, Lipperman-Kreda S, Miranda Jr R, Trull T, Fernandez M. Examining the Impact of Simultaneous Alcohol and Cannabis Use on Alcohol Consumption and Consequences: Protocol for an Observational Ambulatory Assessment Study in Young Adults. JMIR Research Protocols 2024;13:e58685 View
  4. Khezri S, Thierry B, Fuller D, Winters M, Kanning M, Geneidy A, Kestens Y. Exposure to built and social environments and momentary well-being: A geographic ecological momentary assessment study in Montreal. Environment International 2026;209:110159 View
  5. Kwong A, Moody S, Taylor A, Lockhart C, Ogden R, Leal R, Mcmillan A, Harvey J, Brierley E, Matthews S, Hobbs R, Simmons A, Eley T, Jacobson N, Murray A. Mood in the moment: a study protocol for embedding ecological momentary assessments into established longitudinal cohorts to examine depression in real time. BMJ Open 2026;16(6):e122195 View