The Investigation of the Relationship Between Blood Parameters, Sleep Quality, and Quality of Life of Patients Using Depot Antipsychotics
Bibliographic record
Abstract
Aim: In our study, we aimed to examine the relationship between laboratory tests with sleep and quality of life in patients using depot antipsychotics as monotherapy for the last three months. Materials and Methods: Patients with schizophrenia and receiving monotherapy depot antipsychotic form were included in our study. Calgary Depression in Schizophrenia Scale (CSS), Positive and Negative Syndrome Scale (PANSS), Pitssburg Sleep Quality Index (PUKI), Scale of Short Form-36 (SF-36) were administered. The laboratory parameters of the participants were evaluated. Results: Sixty one to study; 80.3% male and 19.7% female patients were included. The mean age of all patients was 36.40±9.96, and the mean body mass index was 24.49±5.18. There was no significant difference between the groups in terms of PSQI subscales and total scores (p>0.05). Only the social functioning score for SF-36 was worse than the other two groups of patients using zuclopenthixol depot (p=0.049). There was no difference between the groups in SF-36 other subscale scores (p<0.05). Prolactin value and other laboratory parameters were also not different between groups (p>0.05). Conclusion: Based on the results we have obtained, general functionality levels such as sleep and quality of life of the patients should be considered while determining the depot antipsychotic forms. In order to generalize and interpret the findings of our study, there is a need to conduct studies involving larger sample groups and different periods of the disease.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".