The relationship between psychiatric patients' caregiver burden and anger expression styles

WOS: 000425733600054PubMed ID: 28881076Aims and objectivesTo examine the relationship between psychiatric patients' caregiver burden and anger expression styles. BackgroundIn the caregiving process, when coping with problems, caregivers may exhibit emotional and behavioural responses, which can produce distressful results. One of these responses is angry. Examining the relationship between psychiatric patients' caregiver burden and caregivers' anger expression styles is necessary for quality of care. DesignA descriptive and relational study. MethodsThe sample for study included 60 family caregivers who were stayed with patient in psychiatry clinic during the treatment of inpatient setting of a university hospital. Data for the study were collected using the Caregiver Burden Inventory and the Trait Anger and Anger Expression Scale. The analysis of variance, Mann-Whitney U test, Kruskal-Wallis and Pearson correlation analysis were used. ResultsThe caregivers' Caregiver Burden Inventory score was found to be 24.601.57. Gender, working status, level of intimacy with patient, status of whether or not caregiver was living with patient and status of whether or not caregiver experienced difficulties in providing care had a significant effect on the Caregiver Burden Inventory scale as a whole, as well as its subscales. This study found a positive relationship between caregiver burden and caregivers' anger expression styles (p<.05, p<.01). ConclusionThe total Caregiver Burden Inventory mean score of caregivers was concluded to be low, with some introductory characteristics and anger expression styles having an impact on the burden experienced by caregivers. Relevance to clinical practiceKnowing the anger expression styles of caregivers is important for reducing caregiver burden and improving quality of care

Metabolomic biomarkers in mental disorders : bipolar disorder and schizophrenia

Psychiatric disorders are some of the most impairing human diseases. Among them, bipolar disorder and schizophrenia are the most common. Both have complicated diagnostics due to their phenotypic, biological, and genetic heterogeneity, unknown etiology, and the underlying biological pathways, and molecular mechanisms are still not completely understood. Given the multifactorial complexity of these disorders, identification and implementation of metabolic biomarkers would assist in their early detection and diagnosis and facilitate disease monitoring and treatment responses. To date, numerous studies have utilized metabolomics to better understand psychiatric disorders, and findings from these studies have begun to converge. In this chapter, we briefly describe some of the metabolomic biomarkers found in these two disorders111827129