Association of Physical and Social Anhedonia with Depression in the Acute Phase of Schizophrenia
Bibliographic record
Abstract
BACKGROUND/AIMS: Researchers have shown interest in the association between anhedonia and depression in schizophrenia. The aim of the current study was to investigate the relationship between physical and social anhedonia with depression in a sample of inpatients with schizophrenia in the acute phase of their illness. METHODS: Sixty-two patients with acute schizophrenia consecutively admitted at the Eginition Hospital, Department of Psychiatry, University of Athens were assessed using the revised Physical Anhedonia Scale, the revised Social Anhedonia Scale and the Calgary Depression Scale for Schizophrenia. RESULTS: The Calgary Depression Scale for Schizophrenia score correlated with both physical anhedonia and social anhedonia ratings. The revised Social Anhedonia Scale score significantly correlated to self-depreciation, guilty ideas of reference, pathological guilt, early wakening, suicidality and observed depression. The revised Physical Anhedonia Scale score significantly correlated with depressive mood, self-depreciation, pathological guilt and observed depression. Self-depreciation, pathological guilt and observed depression were correlated with both social and physical anhedonia. CONCLUSION: Depression in schizophrenia and anhedonia may overlap, and it could therefore be difficult to clinically differentiate them, especially in acute schizophrenia patients.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".