Literature DB >> 31161276

From Ecological Momentary Assessment (EMA) to Ecological Momentary Intervention (EMI): Past and Future Directions for Ambulatory Assessment and Interventions in Eating Disorders.

Kathryn E Smith1,2, Adrienne Juarascio3.   

Abstract

PURPOSE OF REVIEW: Ambulatory assessment methods, including ecological momentary assessment (EMA), have often been used in eating disorders (EDs) to assess the type, frequency, and temporal sequencing of ED symptoms occurring in naturalistic environments. Relatedly, growing research in EDs has explored the utility of ecological momentary interventions (EMIs) to target ED symptoms. The aims of the present review were to (1) synthesize recent literature pertaining to ambulatory assessment/EMA and EMI in EDs, and (2) identify relevant limitations and future directions in these domains. RECENT
FINDINGS: With respect to ambulatory assessment and EMA, there has been substantial growth in the expansion of constructs assessed with EMA, the exploration of state- vs. trait-level processes, integration of objective and passive assessment approaches, and consideration of methodological issues. The EMI literature in EDs also continues to grow, though most of the recent research focuses on mobile health (mHealth) technologies with relatively minimal EMI components that adapt to momentary contextual information. Despite these encouraging advances, there remain several promising areas of ambulatory assessment research and clinical applications in EDs going forward. These include integration of passive data collection, use of EMA in treatment evaluation and design, evaluation of dynamic system processes, inclusion of diverse samples, and development and evaluation of adaptive, tailored EMIs such as just-in-time adaptive interventions. While much remains to be learned in each of these domains, the continual growth in mobile technology has potential to facilitate and refine our understanding of the nature of ED psychopathology and ultimately improve intervention approaches.

Entities:  

Keywords:  Ambulatory assessment; Eating disorders; Ecological momentary assessment; Ecological momentary intervention; mHealth

Mesh:

Year:  2019        PMID: 31161276     DOI: 10.1007/s11920-019-1046-8

Source DB:  PubMed          Journal:  Curr Psychiatry Rep        ISSN: 1523-3812            Impact factor:   5.285


  62 in total

1.  An exploration of the emotional cascade model in borderline personality disorder.

Authors:  Edward A Selby; Michael D Anestis; Theodore W Bender; Thomas E Joiner
Journal:  J Abnorm Psychol       Date:  2009-05

Review 2.  Ecological momentary assessment.

Authors:  Saul Shiffman; Arthur A Stone; Michael R Hufford
Journal:  Annu Rev Clin Psychol       Date:  2008       Impact factor: 18.561

Review 3.  Incorporating dimensions into the classification of eating disorders: three models and their implications for research and clinical practice.

Authors:  Jennifer E Wildes; Marsha D Marcus
Journal:  Int J Eat Disord       Date:  2013-07       Impact factor: 4.861

4.  A habit-goal framework of depressive rumination.

Authors:  Edward R Watkins; Susan Nolen-Hoeksema
Journal:  J Abnorm Psychol       Date:  2014-02

5.  Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment.

Authors:  Alissa A Haedt-Matt; Pamela K Keel
Journal:  Psychol Bull       Date:  2011-07       Impact factor: 17.737

6.  The n-of-1 clinical trial: the ultimate strategy for individualizing medicine?

Authors:  Elizabeth O Lillie; Bradley Patay; Joel Diamant; Brian Issell; Eric J Topol; Nicholas J Schork
Journal:  Per Med       Date:  2011-03       Impact factor: 2.512

7.  The relationship between worry, rumination, and comorbidity: evidence for repetitive negative thinking as a transdiagnostic construct.

Authors:  Peter M McEvoy; Hunna Watson; Edward R Watkins; Paula Nathan
Journal:  J Affect Disord       Date:  2013-07-16       Impact factor: 4.839

Review 8.  Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments.

Authors:  Kristin E Heron; Joshua M Smyth
Journal:  Br J Health Psychol       Date:  2009-07-28

Review 9.  Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review.

Authors:  Saee Hamine; Emily Gerth-Guyette; Dunia Faulx; Beverly B Green; Amy Sarah Ginsburg
Journal:  J Med Internet Res       Date:  2015-02-24       Impact factor: 5.428

10.  A network approach to psychopathology: new insights into clinical longitudinal data.

Authors:  Laura F Bringmann; Nathalie Vissers; Marieke Wichers; Nicole Geschwind; Peter Kuppens; Frenk Peeters; Denny Borsboom; Francis Tuerlinckx
Journal:  PLoS One       Date:  2013-04-04       Impact factor: 3.240

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  13 in total

1.  Pilot Testing in the Wild: Feasibility, Acceptability, Usage Patterns, and Efficacy of an Integrated Web and Smartphone Platform for Bipolar II Disorder.

Authors:  Kathryn Fletcher; Katrina Lindblom; Elizabeth Seabrook; Fiona Foley; Greg Murray
Journal:  JMIR Form Res       Date:  2022-05-31

Review 2.  Non-Suicidal Self-Injury and Eating Disordered Behaviors: An Update on What We Do and Do Not Know.

Authors:  Glenn Kiekens; Laurence Claes
Journal:  Curr Psychiatry Rep       Date:  2020-10-10       Impact factor: 5.285

3.  Ecological momentary interventions for mental health: A scoping review.

Authors:  Andreas Balaskas; Stephen M Schueller; Anna L Cox; Gavin Doherty
Journal:  PLoS One       Date:  2021-03-11       Impact factor: 3.240

4.  Networks of stress, affect and eating behaviour: anticipated stress coping predicts goal-congruent eating in young adults.

Authors:  Björn Pannicke; Tim Kaiser; Julia Reichenberger; Jens Blechert
Journal:  Int J Behav Nutr Phys Act       Date:  2021-01-09       Impact factor: 6.457

Review 5.  Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies.

Authors:  Katrien De Cocker; Huong Ly Tong; Kim Phuong Dao; A Baki Kocaballi; Clara Chow; Liliana Laranjo
Journal:  JMIR Mhealth Uhealth       Date:  2021-11-19       Impact factor: 4.773

6.  Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study.

Authors:  Brooke Marie Bell; Ridwan Alam; Abu Sayeed Mondol; Meiyi Ma; Ifat Afrin Emi; Sarah Masud Preum; Kayla de la Haye; John A Stankovic; John Lach; Donna Spruijt-Metz
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-18       Impact factor: 4.947

7.  The Role of Emotion Regulation in Eating Disorders: A Network Meta-Analysis Approach.

Authors:  Jenni Leppanen; Dalia Brown; Hannah McLinden; Steven Williams; Kate Tchanturia
Journal:  Front Psychiatry       Date:  2022-02-23       Impact factor: 4.157

8.  iHealth: The ethics of artificial intelligence and big data in mental healthcare.

Authors:  Giovanni Rubeis
Journal:  Internet Interv       Date:  2022-03-02

Review 9.  Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions.

Authors:  Jasmine Fardouly; Ross D Crosby; Suku Sukunesan
Journal:  J Eat Disord       Date:  2022-05-08

Review 10.  Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review.

Authors:  Tristan J Philippe; Naureen Sikder; Anna Jackson; Maya E Koblanski; Eric Liow; Andreas Pilarinos; Krisztina Vasarhelyi
Journal:  JMIR Ment Health       Date:  2022-05-12
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