Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Kapfhammer, HP.
[Comorbid depressive and anxiety disorders in patients with cancer].
Nervenarzt. 2015; 86(3): 300- 301
Doi: 10.1007/s00115-014-4156-x
Web of Science
PubMed
FullText
FullText_MUG
- Leading authors Med Uni Graz
- Kapfhammer Hans-Peter
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- Patients with cancer face a high risk of comorbid depressive and anxiety disorders that have to be paradigmatically considered within a complex biopsychosocial context. Several conceptual challenges have to be mastered in arriving at a correct clinical diagnosis. Coexistent affective and anxiety disorders in cancer patients include a more dramatic subjective suffering, reduced psychological coping, possible negative interference with somatic treatment and rehabilitation, impaired quality of life and higher grades of psychosocial disability. They may also lead to an overall increased risk of somatic morbidity, a more rapid progression of cancer and a higher cancer-related mortality in the course of the disease. Manifold psychological, psychosocial and existential, cancer and treatment-related stressors have to be considered with respect to common neurobiological, especially neuroendocrine and neuroinflammatory mechanisms. Complex psychosomatic, somatopsychic and somato-somatic effects must always be considered. Evidence-based approaches in psychotherapy and pharmacotherapy exist for the integrative treatment of comorbid depressive and anxiety disorders in cancer.
- Find related publications in this database (using NLM MeSH Indexing)
- Anxiety - diagnosis
- Anxiety - epidemiology
- Anxiety - therapy
- Comorbidity -
- Depression - diagnosis
- Depression - epidemiology
- Depression - therapy
- Depression -
- Humans -
- Internationality -
- Neoplasms - diagnosis
- Neoplasms - epidemiology
- Neoplasms - therapy
- Prevalence -
- Risk Factors -
- Find related publications in this database (Keywords)
- Cancer
- Anxiety disorder
- Depressive disorder
- Biopsychosocial model
- Epidemiology