Ecological Momentary Assessment Daily Stress Reports Correlate With Cortical Morphology in Adult Major Depressive Disorder

2020 ◽  
Vol 87 (9) ◽  
pp. S387
Author(s):  
Elizabeth Bartlett ◽  
Ashley Yttredahl ◽  
Barbara Stanley ◽  
Raksha Kandlur ◽  
Tse-Hwei Choo ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Ecological Momentary Assessment ◽  
Daily Stress ◽  
Major Depressive ◽  
Cortical Morphology ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review

2019 ◽  
Vol 8 (4) ◽  
pp. 465 ◽  
Author(s):  
Desirée Colombo ◽  
Javier Fernández-Álvarez ◽  
Andrea Patané ◽  
Michelle Semonella ◽  
Marta Kwiatkowska ◽  
...  
Keyword(s):  
Systematic Review ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Ecological Momentary Assessment ◽  
Low Cost ◽  
Real Life ◽  
Information And Communications Technologies ◽  
Major Depressive ◽  
Ecological Momentary ◽  
Momentary Assessment

Ecological momentary assessment (EMA) and ecological momentary intervention (EMI) are alternative approaches to retrospective self-reports and face-to-face treatments, and they make it possible to repeatedly assess patients in naturalistic settings and extend psychological support into real life. The increase in smartphone applications and the availability of low-cost wearable biosensors have further improved the potential of EMA and EMI, which, however, have not yet been applied in clinical practice. Here, we conducted a systematic review, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to explore the state of the art of technology-based EMA and EMI for major depressive disorder (MDD). A total of 33 articles were included (EMA = 26; EMI = 7). First, we provide a detailed analysis of the included studies from technical (sampling methods, duration, prompts), clinical (fields of application, adherence rates, dropouts, intervention effectiveness), and technological (adopted devices) perspectives. Then, we identify the advantages of using information and communications technologies (ICTs) to extend the potential of these approaches to the understanding, assessment, and intervention in depression. Furthermore, we point out the relevant issues that still need to be addressed within this field, and we discuss how EMA and EMI could benefit from the use of sensors and biosensors, along with recent advances in machine learning for affective modelling.

scholarly journals The dynamical signature of anhedonia in Major Depressive Disorder: Positive emotion dynamics, reactivity, and recovery

2018 ◽  
Author(s):  
Vera Ellen Heininga ◽  
Egon Dejonckheere ◽  
Marlies Houben ◽  
Jasmien obbels ◽  
Pascal Sienaert ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Positive Emotion ◽  
Multilevel Models ◽  
Daily Life ◽  
Major Depressive ◽  
Daily Lives ◽  
Emotion Dynamics ◽  
Almost All ◽  
Ecological Momentary

Background: Major Depressive Disorder (MDD) is the leading cause of disability worldwide. The cardinal features of MDD are depressed mood and anhedonia. Anhedonia is defined as a “markedly diminished interest or pleasure in all, or almost all, activities of the day”, yet has never been investigated in the daily life of patients diagnosed with MDD. We address this gap in knowledge by means of Ecological Momentary Assessments (EMA). Methods: We sampled Positive Affect (PA) and reward experiences on 10 semi-random time points a day, for seven days in the daily lives of 47 MDD patients with anhedonia, and 40 controls. Results: Multilevel models showed that anhedonia was associated to low PA, but not to differences in PA dynamics, nor reward frequency in daily life. In reaction to rewards, MDD patients with anhedonia showed no difference in their increase in PA (i.e., PA reactivity), and showed no signs of a faster return to baseline thereafter (i.e., PA recovery). Conclusion: Our results suggest that the dynamical signature of anhedonia in MDD can be described best as a lower average level of PA, and “normal” in terms of PA dynamics, daily reward reactivity and reward recovery. Preregistration doi: 10.17605/osf.io/gjaze; Data and Materials: osf.io/8gxrw.

scholarly journals Daily stress as link between disadvantage and smoking: an ecological momentary assessment study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Tina Jahnel ◽  
Stuart G. Ferguson ◽  
Saul Shiffman ◽  
Benjamin Schüz
Keyword(s):  
Ecological Momentary Assessment ◽  
Smoking Behavior ◽  
Social Disadvantage ◽  
Mediation Model ◽  
Electronic Diary ◽  
Daily Stress ◽  
Stress Experience ◽  
Behavioral Mechanisms ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract Background There is a well-established social gradient in smoking, but little is known about the underlying behavioral mechanisms. Here, we take a social-ecological perspective by examining daily stress experience as a process linking social disadvantage to smoking behavior. Method A sample of 194 daily smokers, who were not attempting to quit, recorded their smoking and information about situational and contextual factors for three weeks using an electronic diary. We tested whether socioeconomic disadvantage (indicated by educational attainment, income and race) exerts indirect effects on smoking (cigarettes per day) via daily stress. Stress experience was assessed at the end of each day using Ecological Momentary Assessment methods. Data were analyzed using random effects regression with a lower-level (2-1-1) mediation model. Results On the within-person level lower educated and African American smokers reported significantly more daily stress across the monitoring period, which in turn was associated with more smoking. This resulted in a small significant indirect effect of daily stress experience on social disadvantage and smoking when using education and race as indicator for social disadvantage. No such effects were found when for income as indicator for social disadvantage. Conclusion These findings highlight the potential for future studies investigating behavioral mechanisms underlying smoking disparities. Such information would aid in the development and improvement of interventions to reduce social inequality in smoking rates and smoking rates in general.

scholarly journals Dynamic patterns of depressive symptoms and sleep during the first month of strict lockdown in two women with major depressive disorder

2020 ◽  
Author(s):  
Paquito Bernard ◽  
Samuel St-Amour ◽  
Lachance ◽  
Celia Kingsbury ◽  
Lapointe
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Depressive Disorders ◽  
Dynamic Network ◽  
Psychomotor Retardation ◽  
Poor Sleep ◽  
Major Depressive ◽  
Sleep Parameters ◽  
Ecological Momentary

This article aimed to document the day-to-day patterns of depressive symptoms and sleep parameters, and to explore the dynamic network structure of depressive symptoms during the first COVID strict lockdown. Two participants with major depressive disorders were included in an 30-day observational ecological momentary assessment study just before the lockdown in Montreal, Canada. In both cases, the self-reported depressive symptoms and core affects fluctuated during the lowckdown. However, all depressive symptoms were not systematically exacerbated. Among them, significant linear and no-linear temporal patterns have been identified. For case-1, the poor sleep quality and deteriorated sleep parameters were not worsen during the lockdown. The psychomotor retardation and level of arousal played a prominent role in the idiographic dynamic symptom networks. These case studies allow a granular understanding of the lockdown effects on depressive symptoms and affective experiences dynamics, and highlight the need of person-centered mental health care to help people with major depressive disorder.

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