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Cited by 123Mental Health Research TopicsBayesian Modeling and Causal InferenceEating Disorders and Behaviors

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

A graphical vector autoregressive modelling approach to the analysis of electronic diary data

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Wild, Beate, Eichler, Michael, Friederich, Hans-Christoph, Hartmann, Mechthild, Zipfel, Stephan, Herzog, Wolfgang·2010·BMC Medical Research Methodology
DOI 10.1186/1471-2288-10-28PMC PMC2869334
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Abstract

BACKGROUND: In recent years, electronic diaries are increasingly used in medical research and practice to investigate patients' processes and fluctuations in symptoms over time. To model dynamic dependence structures and feedback mechanisms between symptom-relevant variables, a multivariate time series method has to be applied. METHODS: We propose to analyse the temporal interrelationships among the variables by a structural modelling approach based on graphical vector autoregressive (VAR) models. We give a comprehensive description of the underlying concepts and explain how the dependence structure can be recovered from electronic diary data by a search over suitable constrained (graphical) VAR models. RESULTS: The graphical VAR approach is applied to the electronic diary data of 35 obese patients with and without binge eating disorder (BED). The dynamic relationships for the two subgroups between eating behaviour, depression, anxiety and eating control are visualized in two path diagrams. Results show that the two subgroups of obese patients with and without BED are distinguishable by the temporal patterns which influence their respective eating behaviours. CONCLUSION: The use of the graphical VAR approach for the analysis of electronic diary data leads to a deeper insight into patient's dynamics and dependence structures. An increasing use of this modelling approach could lead to a better understanding of complex psychological and physiological mechanisms in different areas of medical care and research.

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Figure 1 Raw time series for four patients. Courses of anxiety, eating behaviour, eating control, and depression during treatment.
Figure 1 Raw time series for four patients. Courses of anxiety, eating behaviour, eating control, and depression during treatment.CC BY · PubMed Central
Figure 2 Structural results for patients with BED.(a) Partial directed and contemporaneous correlations for best VAR(1) model. Dashed horizontal lines indicate pointwise 95% test bounds for the hypothesis that the PDC respectively PCC is zero. (b) Path diagram associated with best VAR(1) model. Arrows indicate lagged associations; lines indicate contemporaneous associations.
Figure 2 Structural results for patients with BED.(a) Partial directed and contemporaneous correlations for best VAR(1) model. Dashed horizontal lines indicate pointwise 95% test bounds for the hypothesis that the PDC respectively PCC is zero. (b) Path diagram associated with best VAR(1) model. Arrows indicate lagged associations; lines indicate contemporaneous associations.CC BY · PubMed Central
Figure 3 Structural results for patients without BED. (a) Partial directed and contemporaneous correlations for best VAR(1) model. Dashed horizontal lines indicate pointwise 95% test bounds for the hypothesis that the PDC respectively PCC is zero. (b) Path diagram associated with best VAR(1) model. Arrows indicate lagged associations; lines indicate contemporaneous associations.
Figure 3 Structural results for patients without BED. (a) Partial directed and contemporaneous correlations for best VAR(1) model. Dashed horizontal lines indicate pointwise 95% test bounds for the hypothesis that the PDC respectively PCC is zero. (b) Path diagram associated with best VAR(1) model. Arrows indicate lagged associations; lines indicate contemporaneous associations.CC BY · PubMed Central

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Research works printed but not linked: 1

  1. Schlittgen R, Streitberg BHJ: Zeitreihenanalyse. 1997, München: Oldenbourg

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Metadata

Authors
Wild, B., Eichler, M., Friederich, H.-C., Hartmann, M., Zipfel, S., & Herzog, W.
Affiliations
  • University Hospital Heidelberg (DE)
  • Maastricht University (NL)
  • Universitätsklinikum Tübingen (DE)
Corresponding author
  • Wild, Beate
  • Eichler, Michael
ORCID
Venue
BMC Medical Research Methodology
Publisher
Springer Science and Business Media LLC
Published
2010-04-01
Volume
10
Issue
1
Pages
28-28
ISSN
1471-2288 (ISSN-L)
DOI
10.1186/1471-2288-10-28
PMC
PMC2869334
OpenAlex
W2028782034
Cited by
123
References
54
Citations by year
2026: 4 · 2025: 10 · 2024: 7 · 2023: 10 · 2022: 12 · 2021: 18 · 2020: 22 · 2019: 6 · 2018: 13 · 2017: 2 · 2016: 8 · 2015: 3 · 2014: 4 · 2013: 1 · 2012: 3
FWCI
1.67
Type
journal article
Language
en
Open access
Licence
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
Keywords
electronic diary, multivariate time series, binge eating disorder, obesity, eating behaviour, depression, anxiety, food intake regulation, path diagrams
MeSH terms
Adult, Anxiety, Computer Graphics, Depression, Female, Humans, Male, Models, Theoretical, Obesity, Regression Analysis, Multivariate Analysis, Computers, Handheld, Young Adult, Binge-Eating Disorder

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