Evolutionary psychology has recently made inroads in clinical psychology, bringing the understanding that, in some cases, mental symptoms are not manifestations of brain disorders, but rather evolved mechanisms that might function in overdrive or signal fitness problems. Thus, improvements in fitness may lead to improvements in those symptoms. Armed with such insights, this brief describes a comprehensive therapy protocol for depression - Cognitive Evolutionary Therapy (CET) -, which incorporates evolutionary understandings of this condition into well-validated cognitive techniques. CET starts with an evaluation of the evolutionary fitness of an individual, which represents the springboard for specific, evolutionary-driven behavioral and cognitive interventions. Based on the fitness evaluation, which takes place at intake, the CET therapist comes pre-equipped with a list of the patient's fitness problems and can start working on them very early on in therapy, potentially leading toshorter interventions and cost savings. This brief will appeal to clinical psychologists and therapists who frequently employ CBT principles in therapy, as well as to clinicians who want to incorporate insights from evolutionary disciplines into their approaches.

Author: Cezar Giosan
Binding Type: Paperback
Publisher: Springer
Published: 02/21/2020
Series: Springerbriefs in Psychology
Pages: 68
Weight: 0.27lbs
Size: 9.21h x 6.14w x 0.16d
ISBN: 9783030388737
2020 Edition

About the Author

Cezar Giosan, PhD, Dr. Habil and faculty in the Department of Psychology at the University of Bucharest, has a doctorate in psychology from the New School University. He worked for a long time as a research psychologist in the US top-ranked Department of Psychiatry at Weill Medical School of Cornell University. Dr. Giosan has authored dozens of peer-reviewed publications in impact journals, including studies on the applications of evolutionary psychology in psychological interventions. He has tested, in premiere, in the form of a Randomized Clinical Trial, the efficacy of an evolutionary intervention for depression.