Şizofreni Hastalarında Aktivite Performansı, Yaşam Memnuniyeti ve Ruhsal Durum İlişkilerinin İncelenmesi
Bibliographic record
Abstract
Amac: Bu calisma sizofreni hastalarinda aktivite performansi ve tatmin duzeyi, yasam memnuniyeti, depresyon ve anksiyete bulgulari arasindaki iliskilerin incelenmesi amaciyla planlandi. Gerec ve yontem: Calismaya 45’i erkek ve 36’si kadin, 81 sizofreni tanili birey dahil edildi. Aktivite performanslari ve tatmin duzeyleri Kanada Aktivite Performans Olcumu (KAPO), yasam memnuniyet duzeyleri ise Yasam Memnuniyet Anketi (YMA) ile degerlendirildi. Calgary Sizofrenide Depresyon Olcegi (CSDO) ile bireylerin depresyon bulgulari, Hamilton Anksiyete Degerlendirme Olcegi (HAM-A) ile ruhsal ve bedensel anksiyete bulgulari belirlendi. Sonuclar: Bireylerin yas ortalamasi 35.35±11.87 yil, egitim yillari ise 9.43±3.87 yil olarak kaydedildi. CSDO skoru ile HAM-A ruhsal (r=0.739, p=0.001) ve bedensel bulgular (r=0.628, p=0.001) arasinda pozitif yonde korelasyonlar bulundu. Yasam memnuniyet duzeyi ile anksiyetenin ruhsal (r=-0.561, p=0.001) ve bedensel belirtileri (r=-0.43, p=0.001) ayrica depresyon bulgulari (r=-0.492, p=0.001) arasinda negatif yonde iliskiler tespit edildi. Farkli olarak, olgularin aktivite performansi ve tatmin duzeyleri ile yasam memnuniyeti, depresyon ve anksiyete bulgulari arasinda anlamli iliski bulunmadi (p>0.05). Tartisma: Ergoterapi bakis acisiyla sizofreni hastalarina spesifik rehabilitasyon programlari planlanirken, yasam memnuniyetinin onemli bir parametresi olan bireyin yasam kosullari’nin duzenlenmesi konusuna odaklanilmalidir. Bu konuda sizofreni hastalarinin dahil edildigi daha buyuk gruplarda ve yasa gore bireylerin memnuniyet ve tatmin beklentilerinin incelenecegi kontrollu calismalarin yapilmasina ihtiyac vardir
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".