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

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.

[1]  D. Borsboom,et al.  Network analysis: an integrative approach to the structure of psychopathology. , 2013, Annual review of clinical psychology.

[2]  T. Trull,et al.  Ecological momentary assessment of mood disorders and mood dysregulation. , 2009, Psychological assessment.

[3]  D. Borsboom,et al.  Revealing the dynamic network structure of the Beck Depression Inventory-II , 2014, Psychological Medicine.

[4]  A. Zellner.  An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[5]  A. Gelman.  Analysis of variance: Why it is more important than ever? , 2005, math/0504499.

[6]  S. Collins.  Collins , 2010, Veterinary Record.

[7]  S. Shiffman.  Conceptualizing analyses of ecological momentary assessment data. , 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[8]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[9]  P. Phillips,et al.  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? , 1992 .

[10]  J. Smyth,et al.  Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. , 2010, British journal of health psychology.

[11]  R. L. Collins,et al.  Social anxiety and the experience of positive emotion and anger in everyday life: an ecological momentary assessment approach , 2010, Anxiety, stress, and coping.

[12]  S. Borgatti,et al.  Betweenness centrality measures for directed graphs , 1994 .

[13]  Hernando Ombao,et al.  Investigating brain connectivity using mixed effects vector autoregressive models , 2012, NeuroImage.

[14]  R. Carels,et al.  An ecological momentary assessment of relapse crises in dieting. , 2004, Journal of consulting and clinical psychology.

[15]  Nikos Ntoumanis,et al.  An Ecological Momentary Assessment of Lapse Occurrences in Dieters , 2014, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[16]  Wilhelm Hofmann,et al.  Dieting and the self-control of eating in everyday environments: an experience sampling study. , 2013, British journal of health psychology.

[17]  S. Shiffman,et al.  Ecological Momentary Assessment (Ema) in Behavioral Medicine , 1994 .

[18]  D. Moskowitz,et al.  Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. , 2006, Journal of psychiatry & neuroscience : JPN.

[19]  P Lavie,et al.  Sleep-wake as a biological rhythm. , 2001, Annual review of psychology.