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Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity.

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  • Author(s): Dunton GF;Dunton GF; Dzubur E; Intille S
  • Source:
    Journal of medical Internet research [J Med Internet Res] 2016 Jun 01; Vol. 18 (6), pp. e106. Date of Electronic Publication: 2016 Jun 01.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J. Med. Internet Res. Subsets: MEDLINE
    • Publication Information:
      Publication: <2011- > : Toronto : JMIR Publications
      Original Publication: [Pittsburgh, PA? : s.n., 1999-
    • Subject Terms:
    • Abstract:
      Background: Objective physical activity monitors (eg, accelerometers) have high rates of nonwear and do not provide contextual information about behavior.
      Objective: This study tested performance and value of a mobile phone app that combined objective and real-time self-report methods to measure physical activity using sensor-informed context-sensitive ecological momentary assessment (CS-EMA).
      Methods: The app was programmed to prompt CS-EMA surveys immediately after 3 types of events detected by the mobile phone's built-in motion sensor: (1) Activity (ie, mobile phone movement), (2) No-Activity (ie, mobile phone nonmovement), and (3) No-Data (ie, mobile phone or app powered off). In addition, the app triggered random (ie, signal-contingent) ecological momentary assessment (R-EMA) prompts (up to 7 per day). A sample of 39 ethnically diverse high school students in the United States (aged 14-18, 54% female) tested the app over 14 continuous days during nonschool time. Both CS-EMA and R-EMA prompts assessed activity type (eg, reading or doing homework, eating or drinking, sports or exercising) and contextual characteristics of the activity (eg, location, social company, purpose). Activity was also measured with a waist-worn Actigraph accelerometer.
      Results: The average CS-EMA + R-EMA prompt compliance and survey completion rates were 80.5% and 98.5%, respectively. More moderate-to-vigorous intensity physical activity was recorded by the waist-worn accelerometer in the 30 minutes before CS-EMA activity prompts (M=5.84 minutes) than CS-EMA No-Activity (M=1.11 minutes) and CS-EMA No-Data (M=0.76 minute) prompts (P's<.001). Participants were almost 5 times as likely to report going somewhere (ie, active or motorized transit) in the 30 minutes before CS-EMA Activity than R-EMA prompts (odds ratio=4.91, 95% confidence interval=2.16-11.12).
      Conclusions: Mobile phone apps using motion sensor-informed CS-EMA are acceptable among high school students and may be used to augment objective physical activity data collected from traditional waist-worn accelerometers.
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    • Grant Information:
      R21 HL108018 United States HL NHLBI NIH HHS; SDR 10-012 United States HX HSRD VA
    • Contributed Indexing:
      Keywords: accelerometer*; ecological momentary assessment*; mobile phones*; physical activity*
    • Publication Date:
      Date Created: 20160603 Date Completed: 20170906 Latest Revision: 20181202
    • Publication Date:
      20200827
    • Accession Number:
      PMC4909979
    • Accession Number:
      10.2196/jmir.5398
    • Accession Number:
      27251313
  • Citations
    • ABNT:
      DUNTON, G. F.; DZUBUR, E.; INTILLE, S. Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity. Journal of medical Internet research, [s. l.], v. 18, n. 6, p. e106, 2016. DOI 10.2196/jmir.5398. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=27251313. Acesso em: 26 set. 2020.
    • AMA:
      Dunton GF, Dzubur E, Intille S. Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity. Journal of medical Internet research. 2016;18(6):e106. doi:10.2196/jmir.5398
    • APA:
      Dunton, G. F., Dzubur, E., & Intille, S. (2016). Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity. Journal of Medical Internet Research, 18(6), e106. https://doi.org/10.2196/jmir.5398
    • Chicago/Turabian: Author-Date:
      Dunton, Genevieve Fridlund, Eldin Dzubur, and Stephen Intille. 2016. “Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity.” Journal of Medical Internet Research 18 (6): e106. doi:10.2196/jmir.5398.
    • Harvard:
      Dunton, G. F., Dzubur, E. and Intille, S. (2016) ‘Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity’, Journal of medical Internet research, 18(6), p. e106. doi: 10.2196/jmir.5398.
    • Harvard: Australian:
      Dunton, GF, Dzubur, E & Intille, S 2016, ‘Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity’, Journal of medical Internet research, vol. 18, no. 6, p. e106, viewed 26 September 2020, .
    • MLA:
      Dunton, Genevieve Fridlund, et al. “Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity.” Journal of Medical Internet Research, vol. 18, no. 6, June 2016, p. e106. EBSCOhost, doi:10.2196/jmir.5398.
    • Chicago/Turabian: Humanities:
      Dunton, Genevieve Fridlund, Eldin Dzubur, and Stephen Intille. “Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity.” Journal of Medical Internet Research 18, no. 6 (June 1, 2016): e106. doi:10.2196/jmir.5398.
    • Vancouver/ICMJE:
      Dunton GF, Dzubur E, Intille S. Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity. Journal of medical Internet research [Internet]. 2016 Jun 1 [cited 2020 Sep 26];18(6):e106. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=27251313