| Title |
Quality of life, self-stigma, and hope in schizophrenia spectrum disorders: a cross-sectional study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, February 2017
|
| DOI | 10.2147/ndt.s122483 |
| Pubmed ID | |
| Authors |
Kristyna Vrbova, Jan Prasko, Marie Ociskova, Dana Kamaradova, Marketa Marackova, Michaela Holubova, Ales Grambal, Milos Slepecky, Klara Latalova |
| Abstract |
The aim of this study was to explore the quality of life, self-stigma, personality traits, and hope in patients with schizophrenia spectrum disorders. A total of 52 outpatients participated in this cross-sectional study. The attending psychiatrist assessed each patient with Mini International Neuropsychiatric Interview (MINI). The patients then completed Quality of Life Satisfaction and Enjoyment Questionnaire (Q-LES-Q), Internalized Stigma of Mental Illness (ISMI) Scale, Temperament and Character Inventory - Revised (TCI-R), Adult Dispositional Hope Scale (ADHS), Drug Attitude Inventory 10 (DAI-10), and Liebowitz Social Anxiety Scale (LSAS)-Self-report. The psychiatrist evaluated Clinical Global Impression Severity - the objective version (objCGI-S), and the patients completed the Clinical Global Impression Severity - the subjective version (subjCGI-S). Each participant also completed Beck Depression Inventory-II (BDI-II), and Beck Anxiety Inventory (BAI). The quality of life was significantly higher in employed patients and individuals with higher hope, self-directedness (SD), and persistence (PS). The quality of life was lower among patients with higher number of psychiatric hospitalizations, those with higher severity of the disorder, and individuals who were taking higher doses of antipsychotics. Patients with more pronounced symptoms of depression, anxiety, and social anxiety had a lower quality of life. Finally, the quality of life was lower among individuals with higher harm avoidance (HA) and self-stigmatization (ISMI). Backward stepwise regression was applied to identify the most significant factors connected to self-stigma. The regression analysis showed that occupation, level of depression (BDI-II), attitude to using medication (DAI-10), social anxiety (LSAS), and antipsychotic index were the most relevant factors associated with lower quality of life. Detection of the quality of life in the context of personality traits, hope, self-stigma, and demographic and clinical factors may be an important part of the assessment of the patient with schizophrenia. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 129 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 22 | 17% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Master | 13 | 10% |
| Student > Postgraduate | 10 | 8% |
| Researcher | 8 | 6% |
| Other | 19 | 15% |
| Unknown | 43 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 26 | 20% |
| Nursing and Health Professions | 19 | 15% |
| Medicine and Dentistry | 18 | 14% |
| Agricultural and Biological Sciences | 4 | 3% |
| Social Sciences | 4 | 3% |
| Other | 13 | 10% |
| Unknown | 46 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2017.
All research outputs
#15,305,492
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,406
of 3,120 outputs
Outputs of similar age
#227,289
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#35
of 74 outputs
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