Ecological momentary assessment of affect in context after traumatic brain injury.

2021 ◽  
Author(s):  
Amanda Rabinowitz ◽  
Tessa Hart ◽  
Julianne Wilson
2021 ◽  
Vol 36 (6) ◽  
pp. 1160-1160
Author(s):  
Julianne Wilson ◽  
Amanda R Rabinowitz ◽  
Tessa Hart

Abstract Objective In persons with moderate–severe traumatic brain injury (msTBI), we compared traditional measures of mood with dynamic measures of affect derived from ecological momentary assessment (EMA), for the purpose of validating the EMA indices and exploring their unique contributions to emotional assessment. Method 23 community-dwelling participants with chronic msTBI were enrolled in a treatment trial for anxiety and/ or depression. At baseline, participants completed the Brief Symptom Inventory-18 Depression and Anxiety subscales (BSI-D, BSI-A) and the Environmental Reward Observation Scale (EROS), a measure of everyday pleasure and reward. EMA data, including the Positive and Negative Affect Scale (PANAS), were collected via smartphone 5 times daily for 7–14 days prior to treatment (M = 8.65; SD = 1.87). Spearman correlations tested associations between baseline BSI-D, BSI-A, and EROS scores with both overall means and temporal variability measures for positive and negative affect (PA, NA). Results Mean PA was significantly correlated with BSI-D (rho −0.60, p < 0.05) and EROS (rho 0.72, p < 0.01). Mean NA and affect variability measures were uncorrelated with baseline scores. NA mean and variability were intercorrelated (rho 0.87, p < 0.001), but this was not the case for PA. Conclusion EMA measures of averaged positive affect showed robust relationships with retrospective measures of depression and environmental reward, providing support for the validity of EMA measures of PA, and for use of the EROS in msTBI. While negative findings must be interpreted with caution, the lack of association of affective variability with retrospective measures suggest a unique role for EMA in examining temporal dynamics of affect.


Brain Injury ◽  
2015 ◽  
Vol 29 (11) ◽  
pp. 1351-1361 ◽  
Author(s):  
Shannon B. Juengst ◽  
Kristin M. Graham ◽  
I. Wayan Pulantara ◽  
Michael McCue ◽  
Ellen M. Whyte ◽  
...  

2013 ◽  
Vol 64 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Sven Barnow ◽  
Maren Aldinger ◽  
Ines Ulrich ◽  
Malte Stopsack

Die Anzahl der Studien, die sich mit dem Zusammenhang zwischen Emotionsregulation (ER) und depressiven Störungen befassen, steigt. In diesem Review werden Studien zusammengefasst und metaanalytisch ausgewertet, die den Zusammenhang zwischen ER und Depression mittels Fragebögen bzw. Ecological Momentary Assessment (EMA) erfassen. Dabei zeigt sich ein ER-Profil welches durch die vermehrte Nutzung von Rumination, Suppression und Vermeidung bei gleichzeitig seltenerem Einsatz von Neubewertung und Problemlösen gekennzeichnet ist. Mit mittleren bis großen Effekten, ist der Zusammenhang zwischen Depression und maladaptiven Strategien besser belegt als bei den adaptiven Formen, wo die Effekte eher moderat ausfielen. EMA-Messungen bestätigen dieses Profil. Da EMA-Studien neben der Häufigkeit des Strategieeinsatzes auch die Erfassung anderer ER-Parameter wie Effektivität und Flexibilität ermöglichen, sollten solche Designs in der ER-Forschung zukünftig vermehrt Einsatz finden.


2013 ◽  
Vol 18 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Florian Labhart

Ecological Momentary Assessment (EMA) is a way of collecting data in people’s natural environments in real time and has become very popular in social and health sciences. The emergence of personal digital assistants has led to more complex and sophisticated EMA protocols but has also highlighted some important drawbacks. Modern cell phones combine the functionalities of advanced communication systems with those of a handheld computer and offer various additional features to capture and record sound, pictures, locations, and movements. Moreover, most people own a cell phone, are familiar with the different functions, and always carry it with them. This paper describes ways in which cell phones have been used for data collection purposes in the field of social sciences. This includes automated data capture techniques, for example, geolocation for the study of mobility patterns and the use of external sensors for remote health-monitoring research. The paper also describes cell phones as efficient and user-friendly tools for prompt manual data collection, that is, by asking participants to produce or to provide data. This can either be done by means of dedicated applications or by simply using the web browser. We conclude that cell phones offer a variety of advantages and have a great deal of potential for innovative research designs, suggesting they will be among the standard data collection devices for EMA in the coming years.


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