↓ Skip to main content

Reducing symptoms of major depressive disorder through a systematic training of general emotion regulation skills: protocol of a randomized controlled trial

Overview of attention for article published in BMC Psychiatry, January 2014
Altmetric Badge

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
209 Mendeley
Title
Reducing symptoms of major depressive disorder through a systematic training of general emotion regulation skills: protocol of a randomized controlled trial
Published in
BMC Psychiatry, January 2014
DOI 10.1186/1471-244x-14-20
Pubmed ID
Authors

Anna M Ehret, Judith Kowalsky, Winfried Rief, Wolfgang Hiller, Matthias Berking

Abstract

Major Depressive Disorder is one of the most challenging mental health problems of our time. Although effective psychotherapeutic treatments are available, many patients fail to demonstrate clinically significant improvements. Difficulties in emotion regulation have been identified as putative risk and maintaining factors for Major Depressive Disorder. Systematically enhancing adaptive emotion regulation skills should thus help reduce depressive symptom severity. However, at this point, no study has systematically evaluated effects of increasing adaptive emotion regulation skills application on symptoms of Major Depressive Disorder. In the intended study, we aim to evaluate stand-alone effects of a group-based training explicitly and exclusively targeting general emotion regulation skills on depressive symptom severity and assess whether this training augments the outcome of subsequent individual cognitive behavioral therapy for depression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Malaysia 1 <1%
Spain 1 <1%
Japan 1 <1%
Poland 1 <1%
Unknown 203 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 18%
Student > Master 35 17%
Researcher 25 12%
Student > Bachelor 21 10%
Student > Doctoral Student 17 8%
Other 25 12%
Unknown 49 23%
Readers by discipline Count As %
Psychology 101 48%
Medicine and Dentistry 23 11%
Social Sciences 5 2%
Nursing and Health Professions 4 2%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 12 6%
Unknown 60 29%