Carlo Hamm
Biographic Data
| ID | 7973967 |
|---|---|
| NAME | Carlo Hamm |
| GIVEN NAMES | Carlo |
| FAMILY NAME | Hamm |
| SIGNATURE | HAMM C |
| AFFILIATIONS | Medical University of Graz |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder
Background: Sleep disturbances are common early warning signs of an episode of bipolar disorder, and early recognition can favorably impact the illness course. Symptom monitoring via a smartphone app is an inexpensive and feasible method to detect an early indication of changes such as sleep. The study aims were (1) to assess the acceptance of apps and (2) to validate sleeping times measured by the smartphone app UP! . Methods: UP! was used by 22…
Personality Structure and Attachment in Bipolar Disorder
In general, our results suggest that there is a link between personality structure and affective dynamics including depressive, anxiety, and somatization symptoms in BD. These findings underline the increasing importance of assessing personality structure and attachment for diagnosis and treatment planning of BD
No prominent works on this page.
Personality Structure and Attachment in Bipolar Disorder
In general, our results suggest that there is a link between personality structure and affective dynamics including depressive, anxiety, and somatization symptoms in BD. These findings underline the increasing importance of assessing personality structure and attachment for diagnosis and treatment planning of BD
Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder
Background: Sleep disturbances are common early warning signs of an episode of bipolar disorder, and early recognition can favorably impact the illness course. Symptom monitoring via a smartphone app is an inexpensive and feasible method to detect an early indication of changes such as sleep. The study aims were (1) to assess the acceptance of apps and (2) to validate sleeping times measured by the smartphone app UP! . Methods: UP! was used by 22…
Bipolar disorder (2 works) · Bipolar Disorder and Treatment (2 works) · Psychiatry (2 works) · Psychology (2 works) · Anxiety (1 works) · Attachment theory (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works) · Cognition (1 works) · Computer Science (1 works)