Objective: Although most burnout research has focused on environmental job-related correlates, it is possible that personality factors also play an important role in the development of burnout. The aim of present study is to examine the relationship between personality and burnout in healthcare workers by using Cloninger’s psychobiological model and Maslach’s three-dimensional burnout model in a healthcare worker sample in Turkey. Methods: Our samples consisted of 66 male, 14 female and totally 80 healthcare organization workers. Sociodemographic form for all the participants was completed during the interviews. The Maslach Burnout Inventory and Turkish TCI were completed by the participants. Multiple hierarchical regression analyses that determine best predictor of independent variables were performed to examine the association between the independent and dependent variables. Results: The hierarchical regression analysis has indicated that Self-Directedness was a significant predictor of depersonalization (β = −.347, R² = .233, F = 1.878, p = .013) and Self-Transcendence and Self-Directedness were significant predictors of Personal Accomplishment (β = −.317, R² = .176, F = 1.319, p = .029; β = −.328, R² = .176, F = 1.319, p = .022; respectively), and Empathy and Self-Forgetfulness subscales were significant predictors of Personal Accomplishment (β = −.426, R² = .106, F = 1.323, p = .013; β = −.400, R² = .106, F = 1.323, p = .030; respectively). Conclusions: Our findings have shown that Self-Directedness, Empathy subscale of Cooperativeness and Self-Transcendence with its Self-Forgetfulness subscale were significant predictors of personal accomplishment dimension of burnout. Our results suggested a strong association between temperament and character dimensions of personality and burnout in healthcare workers.

This systematic review and meta‐analysis examines the effectiveness of science‐based mobile apps for reducing anxiety. A systematic review was employed to identify experimental studies on science‐based mobile applications developed anxiety disorders. International databases such as PubMed, Web of Science, SCOPUS and ProQuest were searched to locate relevant articles. After the systematic review, 16 (k = 20) experimental studies on the effectiveness of science‐based mobile apps for reducing anxiety that met the inclusion criteria were included in the meta‐analysis study. The analysis findings concluded that science‐based mobile apps have a noteworthy impact on reducing anxiety symptoms. Additionally, the moderator analysis indicated that various factors, including participant characteristics (such as gender and age), methodological factors (such as the measurement tool for anxiety and type of control group) and the intervention duration, play a crucial role in this impact. These findings suggest that science‐based mobile apps can provide a helpful tool for individuals seeking to manage their anxiety symptoms and that a range of therapeutic techniques, such as mindfulness, cognitive restructuring and psychoeducation, can be effectively employed in these apps.

(2017). 9th International Congress on Psychopharmacology & 5th International Symposium on Child and Adolescent Psychopharmacology. Psychiatry and Clinical Psychopharmacology: Vol. 27, 9th International Congress on Psychopharmacology & 5th International Symposium on Child and Adolescent Psychopharmacology Abstracts, pp. 47-84.