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Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior.

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  • Additional Information
    • Publication Year:
      2016
    • Author-Supplied Keywords:
      Ecological momentary assessment
      Mixed effects
      Network analysis
      Vector autoregression
    • Abstract:
      Ecological Momentary Assessment (EMA) techniques have been blooming during the last years due to the emergence of smart devices (like PDAs and smartphones) that allow the collection of repeated assessments of several measures (predictors) that affect a target variable. Eating behavior studies can benefit from EMA techniques by analysing almost real-time information regarding food intake and the related conditions and circumstances. In this paper, an EMA method protocol to study eating behavior is presented along with the mobile application developed for this purpose. Mixed effects and vector autoregression are utilized for conducting a network analysis of the data collected and lead to inferring knowledge for the connectivity between different conditions and their effect on eating behavior. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Lecture Notes in Computer Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • ISSN:
      03029743
    • Accession Number:
      113783020
  • Citations
    • ABNT:
      SPANAKIS, G. et al. Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. Lecture Notes in Computer Science, [s. l.], p. 43, 2016. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020. Acesso em: 20 out. 2020.
    • AMA:
      Spanakis G, Weiss G, Boh B, Roefs A. Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. Lecture Notes in Computer Science. January 2016:43. Accessed October 20, 2020. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020
    • APA:
      Spanakis, G., Weiss, G., Boh, B., & Roefs, A. (2016). Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. Lecture Notes in Computer Science, 43.
    • Chicago/Turabian: Author-Date:
      Spanakis, Gerasimos, Gerhard Weiss, Bastiaan Boh, and Anne Roefs. 2016. “Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior.” Lecture Notes in Computer Science, January, 43. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020.
    • Harvard:
      Spanakis, G. et al. (2016) ‘Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior’, Lecture Notes in Computer Science, p. 43. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020 (Accessed: 20 October 2020).
    • Harvard: Australian:
      Spanakis, G, Weiss, G, Boh, B & Roefs, A 2016, ‘Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior’, Lecture Notes in Computer Science, p. 43, viewed 20 October 2020, .
    • MLA:
      Spanakis, Gerasimos, et al. “Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior.” Lecture Notes in Computer Science, Jan. 2016, p. 43. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020.
    • Chicago/Turabian: Humanities:
      Spanakis, Gerasimos, Gerhard Weiss, Bastiaan Boh, and Anne Roefs. “Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior.” Lecture Notes in Computer Science, January 2016, 43. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020.
    • Vancouver/ICMJE:
      Spanakis G, Weiss G, Boh B, Roefs A. Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. Lecture Notes in Computer Science [Internet]. 2016 Jan [cited 2020 Oct 20];43. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113783020