Functional Recovery Levels, Associated Clinical Features and the Role of Metabolic Syndrome in Schizophrenia Patients Followed in a University Hospital
Bibliographic record
Abstract
Introduction Schizophrenia is a chronic illness that causes severe disability and dysfunction.The traditional approach focusing on symptom control does not always result in improvement in functioning. Functional recovery is considered to be the achievement of social and occupational functioning and independent living in addition to symptom remission.Factors like negative symptoms, depression, cognitive dysfunction, treatment compliance, internalised stigma, and education impact functional recovery. MetS may impact functional recovery by contributing to depression, reducing treatment compliance, and impairing cognitive functions, but studies on this are limited. Objectives This study aimed to investigate the relationship between MetS and functional recovery in schizophrenia, along with related clinical features. Methods The study sample included 115 schizophrenia patients aged 18-65, who applied to Gazi University Psychiatry Outpatient Clinic, spoke Turkish, no exacerbation in the last year.Exclusion criteria were serious medical/neurological illness, alcohol/substance use disorder.MetS was diagnosed per American College of Cardiology criteria. Functional Remission of General Schzophrenia Scale (FROGS), Schizophrenia Cognition Rating Scale (SCoRS), Positive and Negative Syndrome Scale (PANSS), The Calgary Depression Scale for Schizophrenia (CDSS), Medication Adherence Rating Scale (MARS), Schedule for Assesing the Three Components of Insight (SAI), Internalized Stigma of Mental Illness Scale (ISMI) scales were applied to all participants. SPSS 22.0 was used, and p<0.05 was considered significant. Results The mean age of participants was 48.61, 54.8% were male and 44% had a high school education. MetS was 55.7% of patients.Patients with MetS had significantly lower scores of FROGS, showed more cognitive impairment in problem solving, there were no significant differences between the groups in the other variables examined.The proportion of patients with MetS (79.7%) showing low level of functionality was higher than those without MetS.The total score of FROGS was positively correlated with years of education, scores of MARS and SAI, while it was negatively correlated with age and CDSS scores.Among the components of MetS, fasting glucose level and diastolic blood pressure were found to be significantly correlated with the scores of the FROGS.The negative predictors of functioning were found to be education level, MARS scores, MetS, SCoRS attention domain and PANSS negative scores. Conclusions Our results show that MetS associated with lower functionality in schizophrenia. Therefore, good metabolic control in patients with schizophrenia is important for cognitive skills and functionality as well as physical health. Disclosure of Interest None Declared
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".