↓ Skip to main content

Evolutionary cognitive therapy versus standard cognitive therapy for depression: a protocol for a blinded, randomized, superiority clinical trial

Overview of attention for article published in Trials, March 2014
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
108 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evolutionary cognitive therapy versus standard cognitive therapy for depression: a protocol for a blinded, randomized, superiority clinical trial
Published in
Trials, March 2014
DOI 10.1186/1745-6215-15-83
Pubmed ID
Authors

Cezar Giosan, Oana Cobeanu, Cristina Mogoase, Vlad Muresan, Loretta S Malta, Katarzyna Wyka, Aurora Szentagotai

Abstract

Depression is estimated to become the leading cause of disease burden globally by 2030. Despite existing efficacious treatments (both medical and psychotherapeutic), a large proportion of patients do not respond to therapy. Recent insights from evolutionary psychology suggest that, in addition to targeting the proximal causes of depression (for example, targeting dysfunctional beliefs by cognitive behavioral therapy), the distal or evolutionary causes (for example, inclusive fitness) should also be addressed. A randomized superiority trial is conducted to develop and test an evolutionary-driven cognitive therapy protocol for depression, and to compare its efficacy against standard cognitive therapy for depression.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 20%
Researcher 20 19%
Student > Ph. D. Student 15 14%
Student > Bachelor 7 6%
Student > Doctoral Student 6 6%
Other 16 15%
Unknown 22 20%
Readers by discipline Count As %
Psychology 47 44%
Medicine and Dentistry 10 9%
Nursing and Health Professions 7 6%
Social Sciences 5 5%
Agricultural and Biological Sciences 3 3%
Other 10 9%
Unknown 26 24%