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

Fitness Trackers and Smart Pedometers/Accelerometers (561) Ecological Momentary Assessment (EMA) (309) Wearable Devices and Sensors (888) mHealth for Data Collection and Research (955) Mobile Health (mhealth) (2939) New Methods (944) mHealth for Wellness, Behavior Change and Prevention (2871) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) Use and User Demographics of mHealth (335)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22218, first published .
Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Authors of this article:

Gonzalo J Martinez1 Author Orcid Image ;   Stephen M Mattingly1 Author Orcid Image ;   Pablo Robles-Granda2 Author Orcid Image ;   Koustuv Saha3, 4 Author Orcid Image ;   Anusha Sirigiri5 Author Orcid Image ;   Jessica Young6 Author Orcid Image ;   Nitesh Chawla1 Author Orcid Image ;   Munmun De Choudhury4 Author Orcid Image ;   Sidney D'Mello7 Author Orcid Image ;   Gloria Mark8 Author Orcid Image ;   Aaron Striegel1 Author Orcid Image
Article Authors Cited by (14) Tweetations (7) Metrics

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  1. Fuente-Vidal A, Guerra-Balic M, Roda-Noguera O, Jerez-Roig J, Montane J. Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge. International Journal of Environmental Research and Public Health 2022;19(16):10214 View
  2. Ponnada A, Li J, Wang S, Wang W, Do B, Dunton G, Intille S. Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(1):1 View
  3. Marques de Souza J, Weissheimer J, Buchweitz A. Well Played! Promoting Phonemic Awareness Training Using EdTech—GraphoGame Brazil—During the COVID-19 Pandemic. Brain Sciences 2022;12(11):1494 View
  4. Ghosh A, Nag S, Gomes A, Gosavi A, Ghule G, Kundu A, Purohit B, Srivastava R. Applications of Smart Material Sensors and Soft Electronics in Healthcare Wearables for Better User Compliance. Micromachines 2022;14(1):121 View
  5. Johnson S, Karas M, Burke K, Straczkiewicz M, Scheier Z, Clark A, Iwasaki S, Lahav A, Iyer A, Onnela J, Berry J. Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures. npj Digital Medicine 2023;6(1) View
  6. Howard A, Lamb M. Compliance Trends in a 14-Week Ecological Momentary Assessment Study of Undergraduate Alcohol Drinkers. Assessment 2024;31(2):277 View
  7. Murray A, Yang Y, Zhu X, Speyer L, Brown R, Eisner M, Ribeaud D. Respondent characteristics associated with adherence in a general population ecological momentary assessment study. International Journal of Methods in Psychiatric Research 2023;32(4) View
  8. Yang M, Schick M, Sullivan T, Weiss N. Predicting Completion of Ecological Momentary Assessments Among Substance-Using Women Experiencing Intimate Partner Violence. Assessment 2024;31(7):1398 View
  9. Wilton A, Sheffield K, Wilkes Q, Chesak S, Pacyna J, Sharp R, Croarkin P, Chauhan M, Dyrbye L, Bobo W, Athreya A. The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses. BMC Nursing 2024;23(1) View
  10. Reinhardt A, Mayen S, Wilhelm C. Uncovering the Missing Pieces: Predictors of Nonresponse in a Mobile Experience Sampling Study on Media Effects Among Youth. Social Science Computer Review 2024;42(6):1464 View
  11. Braem C, Yavuz U, Hermens H, Veltink P. Missing Data Statistics Provide Causal Insights into Data Loss in Diabetes Health Monitoring by Wearable Sensors. Sensors 2024;24(5):1526 View
  12. Jones A, Sharples D, Burton S, Montgomery C, Rose A. The Associations among Perceived Courtesy Stigma, Health and Social Behaviours in Family Members and Friends of People Who Use Substances: An Ecological Momentary Assessment Study. Substance Use & Misuse 2024;59(9):1440 View
  13. 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
  14. Suh J, Howe E, Lewis R, Hernandez J, Saha K, Althoff T, Czerwinski M. Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of Intervention Implementation. JMIR Mental Health 2024;11:e48974 View