Relationship between alexithymia, neuroticism and severity of disease among psoriasis patients
Bibliographic record
Abstract
Cilj istraživanja bio je ispitati odnos aleksitimije, neuroticizma i procijenjene težine simptoma kod oboljelih od psorijaze. U istraživanju je sudjelovalo 109 osoba s dijagnosticiranom psorijazom vulgaris. Za ispitivanje aleksitimije korištena je Torontska ljestvica aleksitimije (Toronto Alexithymia Scale, TAS-26, Taylor i sur., 1985; prema Kocijan Lovko, Gelo, Karlović, 2015). Neuroticizam je ispitan Skalom neuroticizma iz Inventara velikih pet dimenzija ličnosti (John i Srivastava, 1999), a težina bolesti je utvrđena Indeksom zahvaćenosti kože psorijazom i težine psorijaze (Fredriksson i Pettersson, 1978). Podaci su obrađeni analizama varijance i hijerarhijskom regresijskom analizom. Kod ispitivanja izravnog doprinosa crta ličnosti zastupljenosti simptoma psorijaze utvrđeno je kako obje crte ličnosti; i visoka aleksitimija i visoki neuroticizam izravno doprinose visokoj zastupljenosti simptoma psorijaze. Varijabla neuroticizam pokazala se kao bolji prediktor kriterija. Pri ispitivanju razlika u zastupljenosti kliničkih simptoma psorijaze s obzirom na interakciju crta ličnosti i spola dobiven je statistički značajan efekt interakcije između spola i aleksitimije. Žene s visokom aleksitimijom imaju najizraženije simptome psorijaze u odnosu na bilo koje druge skupine sudionika. S druge strane, efekt interakcije između neuroticizma i spolanije se pokazao značajnim po pitanju zastupljenosti simptoma ove bolesti.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".