Evaluation of Eating Behavior in Children with Psoriasis: Retrospective Cross Sectional Study
Notice bibliographique
Résumé
Background. Patients with psoriasis have increased thickness of visceral fat, including epicardial adipose tissue (EAT) that has wide spectrum of biological effects. Its thickness can be affected by the presence of obesity and eating behavior (EB) changes. Studying the associations between EB and markers of adipose tissue functional activity in children with psoriasis may help to better understand this variables correlations in the scope of comorbidities. Objective. Aim of the study is to analyze the relationship between Psoriasis Area and Severity Index (PASI), Children’s Dermatology Life Quality Index (CDLQI), EAT thickness, and leptin levels in pediatric patients with psoriasis and EB disorders. Methods. Retrospective cross sectional single-center study was conducted. 72 medical records of children with psoriasis (with varying body mass index level) who were examined and treated in dermatology department in the period from December 2021 to January 2024. All included patients have underwent dietician consultation and survey with DEBQ and CEBQ questionnaires, as a result predominant EB type was determined. EAT thickness (via two-dimensional echocardiography) and leptin levels were also measured. Psoriasis severity was evaluated via PASI and CDLQI indices. Patients were divided into three groups: with external, emotiogenic, and restrictive EB. The medians of the obtained values were calculated with determination of the confidence interval, all results were compared with each other via Kruskall-Wallis test. Results. Group of patients with external EB has shown following results: median EAT thickness was 2.5 mm (Q1–Q3: 2.1–2.8), median leptin level — 17.3 ng/ml (Q1–Q3: 14.4–26.4), median of PASI — 17 points (Q1–Q3: 12.5–20.5), median of CDLQI — 7 points (Q1–Q3: 4–13.5). Group of patients with emotionogenic EB has median EAT thickness of 2.2 mm (Q1–Q3: 1.85–2.55), median leptin level — 20.1 ng/ml (Q1–Q3: 14.5–23.95), median of PASI — 14 points (Q1–Q3: 12–16.5), median of CDLQI — 6 points (Q1–Q3: 3–12). Group of patients with restrictive EB has median EAT thickness of 3.4 mm (Q1–Q3: 3.1–3.9), median leptin level — 28.2 ng/ml (Q1–Q3: 26.1–33.5), median of PASI — 24 points (Q1–Q3: 21–27), median of CDLQI — 13 points (Q1–Q3: 9–21). Statistically significant (p = 0.0014) increase in PASI and CDLQI points was observed at comparison of different groups via Kruskall-Wallis test. Patients from restrictive EB group have shown higher values of EAT thickness, leptin levels, PASI, and CDLQI scores compared to patients with emotionogenic and external EB. No statistically significant differences were observed when comparing leptin levels and EAT thickness in the remaining groups. Conclusion. Patients with restrictive EB had higher PASI and CDLQI scores compared to patients with emotionogenic and external EB. No statistically significant differences were observed when comparing EAT thickness and leptin levels. Small study sample was the only research limitation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».