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

Wearables and MHealth Reviews (276) mHealth for Wellness, Behavior Change and Prevention (2922) mHealth for Data Collection and Research (981) Mobile Health (mhealth) (2982) Instruments and Questionnaires for Nutrition and Food Intake (169) Research Instruments, Questionnaires, and Tools (589) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) Registered Report (579)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27337, first published .
Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review

Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review

Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review

Authors of this article:

Louise Thornton1, 2, 3 Author Orcid Image ;   Bridie Osman1 Author Orcid Image ;   Katrina Champion1 Author Orcid Image ;   Olivia Green1 Author Orcid Image ;   Annie B Wescott4 Author Orcid Image ;   Lauren A Gardner1 Author Orcid Image ;   Courtney Stewart5 Author Orcid Image ;   Rachel Visontay1 Author Orcid Image ;   Jesse Whife5 Author Orcid Image ;   Belinda Parmenter6 Author Orcid Image ;   Louise Birrell1 Author Orcid Image ;   Zachary Bryant1 Author Orcid Image ;   Cath Chapman1 Author Orcid Image ;   David Lubans7 Author Orcid Image ;   Tim Slade1 Author Orcid Image ;   John Torous8 Author Orcid Image ;   Maree Teesson1 Author Orcid Image ;   Pepijn Van de Ven9 Author Orcid Image
Article Authors Cited by (9) Tweetations (29) Metrics

Journals

  1. Courtney J, Russell M, Conroy D. Acceptability and validity of using the BACtrack skyn wrist-worn transdermal alcohol concentration sensor to capture alcohol use across 28 days under naturalistic conditions – A pilot study. Alcohol 2023;108:30 View
  2. Parmenter B, Burley C, Stewart C, Whife J, Champion K, Osman B, Newton N, Green O, Wescott A, Gardner L, Visontay R, Birrell L, Bryant Z, Chapman C, Lubans D, Sunderland M, Slade T, Thornton L. Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review. JMIR mHealth and uHealth 2022;10(10):e39085 View
  3. Egan L, Gardner L, Newton N, Champion K. eHealth Interventions Targeting Poor Diet, Alcohol Use, Tobacco Smoking, and Vaping Among Disadvantaged Youth: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(5):e35408 View
  4. Egan L, Gardner L, Newton N, Champion K. A Systematic Review of eHealth Interventions Among Adolescents of Low Socioeconomic and Geographically Remote Backgrounds in Preventing Poor Diet, Alcohol Use, Tobacco Smoking and Vaping. Adolescent Research Review 2024;9(1):1 View
  5. Whatnall M, Kolokotroni K, Fozard T, Evans T, Marwood J, Ells L, Burrows T. How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults. The American Journal of Clinical Nutrition 2023;118(2):452 View
  6. Premkumar P, Ganesan S, Pandiyan B, Krishnamoorthy D, Kang G. Smartphone Diary Application in Household Surveys: Integration of High Frequency Temporal Data in Large-scale Data Collection. Field Methods 2024;36(2):160 View
  7. Haucke M, Heinzel S, Liu S. Social mobile sensing and problematic alcohol consumption: Insights from smartphone metadata. International Journal of Medical Informatics 2024;188:105486 View
  8. Pirkis J, Bantjes J, Dandona R, Knipe D, Pitman A, Robinson J, Silverman M, Hawton K. Addressing key risk factors for suicide at a societal level. The Lancet Public Health 2024;9(10):e816 View

Books/Policy Documents

  1. Cade J, Margetts B. Handbook of Epidemiology. View