2 research outputs found
TA Treatment of Depression: A Hermeneutic Single-Case Efficacy Design Study - Sergio
No full textThis study is the fifth of a series of seven and belongs to the second Italian systematic replication of findings from previous series that investigatedthe effectiveness of a manualized Transactional Analysistreatment for depression through Hermeneutic Single-Case Efficacy Design.The therapist was a white Italian woman with 5years of clinical experience and the patient, Sergio, was a 39-year old white Italian man who attended sixteen sessions of transactional analysis psychotherapy. Sergio satisfied DSM 5 criteria for Persistent Depressive Disorder (Dysthymia) with melancholic features, Post-Traumatic Stress Disorder (PTSD) with Obsessive Personality traits. The treatment focused on the permission to enjoy and on self-protection. The focus on both depressive symptoms and obsessive traits allowed a remission of his dysthymia within the end of therapy. The judges evaluated the case as a good outcome: the depressive and anxious symptomatology clinically and reliably improved over the course of the therapy and these improvements weremaintained at the followups. Furthermore, the patient reported significant change in his post-treatment interview and these changes were directly attributed to the therapy.
Citation - APA format:
Benelli, E., Gentilesca, G., Boschetti, D., Piccirillo, C., Calvo, V., Mannarini, S., Palmieri, A. and Zanchetta, M. (2018). TA Treatment of Depression: A Hermeneutic Single-Case Efficacy Design Study - Sergio. International Journal of Transactional Analysis Research & Practice, 9(2), 23-41 https://doi.org/10.29044/v9i2p2
Mediterranean old-growth forests exhibit resistance to climate warming
No full textOld-growth mountain forests represent an ideal setting for studying long-term impacts of climate change. We studied the few remnants of old-growth forests located within the Pollino massif (southern Italy) to evaluate how the growth of conspecific young and old trees responded to climate change. We investigated two conifer species (Abies alba and Pinus leucodermis) and two hardwood species (Fagus sylvatica and Quercus cerris). We sampled one stand per species along an altitudinal gradient, ranging from a drought-limited low-elevation hardwood forest to a cold-limited subalpine pine forest. We used a dendrochronological approach to characterize the long-term growth dynamics of old (age > 120 years) versus young (age < 120 years) trees. Younger trees grew faster than their older conspecifics during their juvenile stage, regardless of species. Linear mixed effect models were used to quantify recent growth trends (1950–2015) and responses to climate for old and young trees. Climate sensitivity, expressed as radial growth responses to climate during the last three decades, partially differed between species because high spring temperatures enhanced conifer growth, whereas F. sylvatica growth was negatively affected by warmer spring conditions. Furthermore, tree growth was negatively impacted by summer drought in all species. Climate sensitivity differed between young and old trees, with younger trees tending to be more sensitive in P. leucodermis and A. alba, whereas older F. sylvatica trees were more sensitive. In low-elevation Q. cerris stands, limitation of growth due to drought was not related to tree age, suggesting symmetric water competition. We found evidence for a fast-growth trend in young individuals compared with that in their older conspecifics. Notably, old trees tended to have relatively stable growth rates, showing remarkable resistance to climate warming. These responses to climate change should be recognized when forecasting the future dynamics of old-growth forests for their sustainable management. © 2021 The Author
