This paper is in the following e-collection/theme issue:

Methods and Feasibility Studies (321) Ecological Momentary Assessment (EMA) (265)

Published on in Vol 4 , No 3 (2015) :Jul-Sep

Ecological Momentary Assessments and Automated Time Series Analysis to Promote Tailored Health Care: A Proof-of-Principle Study

Ecological Momentary Assessments and Automated Time Series Analysis to Promote Tailored Health Care: A Proof-of-Principle Study

Ecological Momentary Assessments and Automated Time Series Analysis to Promote Tailored Health Care: A Proof-of-Principle Study

Authors of this article:

Lian van der Krieke 1 Author Orcid Image ;   Ando C Emerencia 1, 2 Author Orcid Image ;   Elisabeth H Bos 1 Author Orcid Image ;   Judith GM Rosmalen 1 Author Orcid Image ;   Harriëtte Riese 1 Author Orcid Image ;   Marco Aiello 2 Author Orcid Image ;   Sjoerd Sytema 1 Author Orcid Image ;   Peter de Jonge 1 Author Orcid Image
Article Authors Cited by (31) Tweetations Metrics

Journals

  1. Piccirillo M, Rodebaugh T. Foundations of idiographic methods in psychology and applications for psychotherapy. Clinical Psychology Review 2019;71:90 View
  2. Chevance G, Perski O, Hekler E. Innovative methods for observing and changing complex health behaviors: four propositions. Translational Behavioral Medicine 2021;11(2):676 View
  3. Bastiaansen J, Meurs M, Stelwagen R, Wunderink L, Schoevers R, Wichers M, Oldehinkel A. Self-monitoring and personalized feedback based on the experiencing sampling method as a tool to boost depression treatment: a protocol of a pragmatic randomized controlled trial (ZELF-i). BMC Psychiatry 2018;18(1) View
  4. Jongeneel A, Aalbers G, Bell I, Fried E, Delespaul P, Riper H, van der Gaag M, van den Berg D. A time-series network approach to auditory verbal hallucinations: Examining dynamic interactions using experience sampling methodology. Schizophrenia Research 2020;215:148 View
  5. Epskamp S, van Borkulo C, van der Veen D, Servaas M, Isvoranu A, Riese H, Cramer A. Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connections. Clinical Psychological Science 2018;6(3):416 View
  6. Frumkin M, Piccirillo M, Beck E, Grossman J, Rodebaugh T. Feasibility and utility of idiographic models in the clinic: A pilot study. Psychotherapy Research 2021;31(4):520 View
  7. Bulteel K, Tuerlinckx F, Brose A, Ceulemans E. Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics. Frontiers in Psychology 2016;7 View
  8. Lazarus G, Sened H, Rafaeli E, Guest Editor E. Subjectifying the Personality State: Theoretical Underpinnings and an Empirical Example. European Journal of Personality 2020 View
  9. Lorenz N, Sander C, Ivanova G, Hegerl U. Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis. JMIR Mental Health 2020;7(4):e17071 View
  10. Krieke L, Jeronimus B, Blaauw F, Wanders R, Emerencia A, Schenk H, Vos S, Snippe E, Wichers M, Wigman J, Bos E, Wardenaar K, Jonge P. HowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths. International Journal of Methods in Psychiatric Research 2016;25(2):123 View
  11. van Vugt M, Broers N. Self-Reported Stickiness of Mind-Wandering Affects Task Performance. Frontiers in Psychology 2016;7 View
  12. Bulteel K, Tuerlinckx F, Brose A, Ceulemans E. Improved Insight into and Prediction of Network Dynamics by Combining VAR and Dimension Reduction. Multivariate Behavioral Research 2018;53(6):853 View
  13. Piccirillo M, Beck E, Rodebaugh T. A Clinician’s Primer for Idiographic Research: Considerations and Recommendations. Behavior Therapy 2019;50(5):938 View
  14. Wright A, Woods W. Personalized Models of Psychopathology. Annual Review of Clinical Psychology 2020;16(1):49 View
  15. Zuidersma M, Riese H, Snippe E, Booij S, Wichers M, Bos E. Single-Subject Research in Psychiatry: Facts and Fictions. Frontiers in Psychiatry 2020;11 View
  16. van der Krieke L, Blaauw F, Emerencia A, Schenk H, Slaets J, Bos E, de Jonge P, Jeronimus B. Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback. Psychosomatic Medicine 2017;79(2):213 View
  17. Zuidersma M, Lugtenburg A, van Zelst W, Reesink F, De Deyn P, Strijkert F, Zuidema S, Oude Voshaar R. Temporal dynamics of depression, cognitive performance and sleep in older persons with depressive symptoms and cognitive impairments: a series of eight single-subject studies. International Psychogeriatrics 2022;34(1):47 View
  18. Scholten S, Lischetzke T, Glombiewski J. Integrating theory-based and data-driven methods to case conceptualization: A functional analysis approach with ecological momentary assessment. Psychotherapy Research 2022;32(1):52 View
  19. Wijbenga R, Blaauw F, Janus S, Tibben C, Smits A, Oude Voshaar R, Zuidema S, Zuidersma M. Individual differences in the temporal relationship between sleep and agitation: a single-subject study in nursing home residents with dementia experiencing sleep disturbance and agitation. Aging & Mental Health 2022;26(8):1669 View
  20. Harnas S, Knoop H, Booij S, Braamse A. Personalizing cognitive behavioral therapy for cancer-related fatigue using ecological momentary assessments followed by automated individual time series analyses: A case report series. Internet Interventions 2021;25:100430 View
  21. Harnas S, Knoop H, Bennebroek Evertsz F, Booij S, Dekker J, van Laarhoven H, van der Lee M, Meijer E, Sharpe L, Sprangers M, van Straten A, Zweegman S, Braamse A. Personalized versus standard cognitive behavioral therapy for fear of cancer recurrence, depressive symptoms or cancer-related fatigue in cancer survivors: study protocol of a randomized controlled trial (MATCH-study). Trials 2021;22(1) View
  22. Amon M, Mattingly S, Necaise A, Mark G, Chawla N, Dey A, D'mello S. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers. ACM Transactions on Computing for Healthcare 2022;3(3):1 View
  23. Kramer G, Bos E, Edwards M, Tijssen M, Rosmalen J. Daily fluctuations of negative affect are only weakly associated with tremor symptoms in functional and organic tremor patients. Journal of Psychosomatic Research 2021;150:110627 View
  24. Tieks A, Oude Voshaar R, Zuidersma M. Daily associations between affect and cognitive performance in older adults with depression and cognitive impairment: a series of seven single-subject studies in the Netherlands. BMC Geriatrics 2022;22(1) View
  25. Punzi C, Petti M, Tieri P, Calcagnì A. Network-based methods for psychometric data of eating disorders: A systematic review. PLOS ONE 2022;17(10):e0276341 View
  26. Pouwels J, Valkenburg P, Beyens I, van Driel I, Keijsers L. Some socially poor but also some socially rich adolescents feel closer to their friends after using social media. Scientific Reports 2021;11(1) View
  27. Chui H, Diehl M. Gratitude and loneliness in daily life across the adult lifespan. Current Psychology 2021 View
  28. Schneider S, Junghaenel D, Smyth J, Fred Wen C, Stone A. Just-in-time adaptive ecological momentary assessment (JITA-EMA). Behavior Research Methods 2023 View
  29. Hermanns N, Ehrmann D, Shapira A, Kulzer B, Schmitt A, Laffel L. Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes. Diabetologia 2022;65(11):1883 View
  30. Kaurin A, Dombrovski A, Hallquist M, Wright A. Integrating a functional view on suicide risk into idiographic statistical models. Behaviour Research and Therapy 2022;150:104012 View

Books/Policy Documents

  1. Ntekouli M, Spanakis G, Waldorp L, Roefs A. Advances in Intelligent Data Analysis XX. View