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

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Smart Health (ICSH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9545))

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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.

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References

  1. Borsboom, D., Cramer, A.O.J.: Network analysis: an integrative approach to the structure of psychopathology. Ann. Rev. Clin. Psychol. 9(1), 91–121 (2013). PMID: 23537483

    Article  Google Scholar 

  2. Bringmann, L.F., Lemmens, L.H.J.M., Huibers, M.J.H., Borsboom, D., Tuerlinckx, F.: Revealing the dynamic network structure of the beck depressioninventory-II. Psychol. Med. 45, 747–757, 3 (2015)

    Google Scholar 

  3. Carels, R.A., Douglass, O.M., Cacciapaglia, H.M., O’Brien, W.H.: An ecological momentary assessment of relapse crises in dieting. J. Consult. Clin. Psychol. 72(2), 341–348 (2004)

    Article  Google Scholar 

  4. Ebner-Priemer, U.W., Trull, T.J.: Ecological momentary assessment of mood disorders and mooddys regulation. Psychol. Assess. 21(4), 463 (2009)

    Article  Google Scholar 

  5. Gelman, A.: Analysis of variance - why it is more important than ever. Ann. Statist. 33(1), 1–53, 02 (2005)

    Google Scholar 

  6. Gorrostieta, C., Ombao, H., Bdard, P., Sanes, J.N.: Investigating brain connectivity using mixed effects vector autoregressive models. NeuroImage 59(4), 3347–3355 (2012)

    Article  Google Scholar 

  7. Heron, K.E., Smyth, J.M.: Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br. J. Health Psychol. 15(1), 1–39 (2010)

    Article  Google Scholar 

  8. Hofmann, W., Adriaanse, M., Vohs, K.D., Baumeister, R.F.: Dieting and the self-control of eating in everyday environments: an experience sampling study. Br. J. Health Psychol. 19(3), 523–539 (2014)

    Article  Google Scholar 

  9. Kashdan, T.B., Lorraine, R.: Collins. Social anxiety and the experience of positive emotion and anger ineveryday life: an ecological momentary assessment approach. Anxiety Stress Coping 23(3), 259–272 (2010). PMID: 19326272

    Article  Google Scholar 

  10. Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., Shin, Y.: Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? J. Econometrics 54(13), 159–178 (1992)

    Article  MATH  Google Scholar 

  11. Lavie, P.: Sleep-wake as a biological rhythm. Ann. Rev. Psychol. 52(1), 277–303 (2001)

    Article  Google Scholar 

  12. McKee, H.C., Ntoumanis, N., Taylor, I.M.: An ecological momentary assessment of lapse occurrences in dieters. Ann. Behav. Med. 48(3), 300–310 (2014)

    Article  Google Scholar 

  13. Moskowitz, D.S., Young, S.N.: Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J. Psychiatry Neurosci. 31, 13–20 (2006)

    Google Scholar 

  14. Shiffman, S.: Conceptualizing analyses of ecological momentary assessment data. Nicotine and Tob. Res. (2013)

    Google Scholar 

  15. Shiffman, S., Stone, A.A., Hufford, M.R.: Ecological momentary assessment. Ann. Rev. Clin. Psychol. 4(1), 1–32 (2008)

    Article  Google Scholar 

  16. Stone, A.A., Shiffman, S.: Ecological momentary assessment (EMA) in behavorial medicine. Ann. Behav. Med. 16(3), 199–202 (1994)

    Google Scholar 

  17. White, D.R., Borgatti, S.P.: Betweenness centrality measures for directed graphs. Soc. Netw. 16(4), 335–346 (1994)

    Article  Google Scholar 

  18. Zellner, A.: An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J. Am. Stat. Assoc. 57(298), 348–368 (1962)

    Article  MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Knowledge Engineering, Maastricht University, 6200, Maastricht, MD, The Netherlands

    Gerasimos Spanakis & Gerhard Weiss

  2. Faculty of Psychology and Neuroscience, Maastricht University, 6200, Maastricht, MD, The Netherlands

    Bastiaan Boh & Anne Roefs

Authors
  1. Gerasimos Spanakis
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  2. Gerhard Weiss
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  3. Bastiaan Boh
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  4. Anne Roefs
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Corresponding author

Correspondence to Gerasimos Spanakis .

Editor information

Editors and Affiliations

  1. Institute of Automation,Bldg.1004, Chinese Academy of Sciences, Beijing, China

    Xiaolong Zheng

  2. University of Arizona, Tucson, Arizona, USA

    Daniel Dajun Zeng

  3. University of Arizona, Phoenix, USA

    Hsinchun Chen

  4. Mayo Clinic, Scottsdale, USA

    Scott J. Leischow

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© 2016 Springer International Publishing Switzerland

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Spanakis, G., Weiss, G., Boh, B., Roefs, A. (2016). Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-29175-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29174-1

  • Online ISBN: 978-3-319-29175-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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