Literature DB >> 20619520

Use of ecological momentary assessment in mood disorders research.

Susan J Wenze1, Ivan W Miller.   

Abstract

Ecological momentary assessment (EMA) entails repeated, intensive sampling of respondents' current experiences while they are engaged in their typical daily routines, in their natural environments. In this article we discuss benefits of using EMA techniques in mood disorders research, provide an overview of the various specific EMA techniques that have been used with mood-disordered populations to date, and summarize the diverse range of research questions that EMA has been used to explore in this field. In addition, we evaluate the feasibility and acceptability of using EMA techniques with this population and suggest additional areas that might be fruitful to investigate, with a focus on the extension of EMA techniques into treatment research. Overall, data suggest that using EMA techniques in mood disorders research is feasible, generally acceptable, and highly promising. We conclude with a discussion of caveats, limitations, and ethical considerations. Copyright 2010 Elsevier Ltd. All rights reserved.

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Mesh:

Year:  2010        PMID: 20619520     DOI: 10.1016/j.cpr.2010.06.007

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  45 in total

1.  Temporal patterns of anxious and depressed mood in generalized anxiety disorder: a daily diary study.

Authors:  Lisa R Starr; Joanne Davila
Journal:  Behav Res Ther       Date:  2011-12-07

2.  Ecological momentary assessment (EMA) of depression-related phenomena.

Authors:  Michael F Armey; Heather T Schatten; Natasha Haradhvala; Ivan W Miller
Journal:  Curr Opin Psychol       Date:  2015-08-01

3.  Rumination interacts with life stress to predict depressive symptoms: An ecological momentary assessment study.

Authors:  Samantha L Connolly; Lauren B Alloy
Journal:  Behav Res Ther       Date:  2017-07-16

4.  Evaluation of Ecological Momentary Assessment for Tinnitus Severity.

Authors:  Rachel L Goldberg; Marilyn L Piccirillo; Joyce Nicklaus; Andrew Skillington; Eric Lenze; Thomas L Rodebaugh; Dorina Kallogjeri; Jay F Piccirillo
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2017-07-01       Impact factor: 6.223

5.  SPECIFIC MOOD SYMPTOMS CONFER RISK FOR SUBSEQUENT SUICIDAL IDEATION IN BIPOLAR DISORDER WITH AND WITHOUT SUICIDE ATTEMPT HISTORY: MULTI-WAVE DATA FROM STEP-BD.

Authors:  Jonathan P Stange; Evan M Kleiman; Louisa G Sylvia; Pedro Vieira da Silva Magalhães; Michael Berk; Andrew A Nierenberg; Thilo Deckersbach
Journal:  Depress Anxiety       Date:  2016-01-12       Impact factor: 6.505

6.  Rumination predicts heightened responding to stressful life events in major depressive disorder and generalized anxiety disorder.

Authors:  Ayelet Meron Ruscio; Emily L Gentes; Jason D Jones; Lauren S Hallion; Elizabeth S Coleman; Joel Swendsen
Journal:  J Abnorm Psychol       Date:  2015-02

7.  Objective measurement of sociability and activity: mobile sensing in the community.

Authors:  Ethan M Berke; Tanzeem Choudhury; Shahid Ali; Mashfiqui Rabbi
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

8.  Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.

Authors:  Tyler B Wray; Xi Luo; Jun Ke; Ashley E Pérez; Daniel J Carr; Peter M Monti
Journal:  Prev Sci       Date:  2019-08

9.  Daily mood monitoring of symptoms using smartphones in bipolar disorder: A pilot study assessing the feasibility of ecological momentary assessment.

Authors:  Stefani Schwartz; Summer Schultz; Aubrey Reider; Erika F H Saunders
Journal:  J Affect Disord       Date:  2015-11-18       Impact factor: 4.839

Review 10.  Ambulatory assessment.

Authors:  Timothy J Trull; Ulrich Ebner-Priemer
Journal:  Annu Rev Clin Psychol       Date:  2012-11-13       Impact factor: 18.561

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