Perceived and anticipating stigma in schizophrenia in relationship with depressive symptoms and functionality degree
Bibliographic record
Abstract
Introduction Perceived and anticipated stigma is relevant issues in patients with schizophrenia. Stigma has negative consequences both in quality of life and in the course of illness. Objectives To analyze the degree of perceived and anticipated stigma and discrimination in patients with schizophrenia and their relationship with clinical and socio-demographic variables. Methods A cross-sectional study was carried out in a sample of 100 patients with diagnosis of schizophrenia, 18 or more years old, clinically stabilized, without axis I DSM-IV comorbidity. Patients received treatment in the outpatient services of a catchment area in Madrid. Perceived and anticipated discrimination was evaluated trough the DISC-12 (Discrimination and Stigma scale). Other study variables were: socio-demographic characteristics, symptoms of depression (Calgary Scale) and functionality degree measured by Global Assessment of Function (GAF). Results The presence of symptoms of depression evaluated by the Calgary Scale and low degree of functionality measured by GAF are associated with greater feelings of discrimination and stigma, especially in the sub-scales of experienced and anticipated discrimination of the DISC 12. Anticipated stigma is higher in men than in women while the rest sub scales of the DISC-12 do not correlate with gender or other sociodemographic variables. Conclusions Preventive strategies to avoid the stigma in schizophrenia should consider some characteristics associated with disease, especially the degree of functionality and presence of depressive symptoms. Disclosure of interest The authors have not supplied their declaration of competing interest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".