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Record W7104430847

Multidisciplinary Management of Psoriasis: Integrating Diet, Exercise, Psychological Support, and Sleep Interventions

2025· article· en· W7104430847 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsMultidisciplinary approachPsoriasisContext (archaeology)Psychological interventionMental healthQuality of life (healthcare)DiseaseMEDLINETranslational research
DOInot available

Abstract

fetched live from OpenAlex

Agnieszka Dymek,1 Aneta Czerwonogrodzka-Senczyna,2 Justyna Wyszyńska,1 Małgorzata Wójcik,3 Bartłomiej Tarkowski,4 Anna Małgorzata Zalewska-Janowska,4 Edyta Łuszczki1 1Faculty of Health Sciences and Psychology, Collegium Medicum, University of Rzeszów, Rzeszów, Poland; 2Department of Clinical Dietetics, Medical University of Warsaw, Warsaw, Poland; 3Department of Pediatric and Adolescent Endocrinology, Chair of Pediatrics, Pediatric Institute, Jagiellonian University Medical College, Krakow, Poland; 4Psychodermatology Department, Medical University of Lodz, Lodz, PolandCorrespondence: Agnieszka Dymek, Faculty of Health Sciences and Psychology, Collegium Medicum, University of Rzeszów, Kopisto Avenue 2a, Rzeszów, 35-959, Poland, Email adymek@ur.edu.plBackground: Psoriasis is a chronic inflammatory disease frequently associated with metabolic comorbidities, psychological distress, and reduced quality of life. Its multifactorial nature and frequent overlap with other conditions pose substantial challenges in clinical management.Purpose: This narrative review emphasizes the importance of a multidisciplinary approach to psoriasis care, integrating dietary counseling, physical activity promotion, psychological support, and sleep interventions. While multidisciplinary care models such as integrated clinics and coordinated care pathways have been proposed, to our knowledge, this is the first review to comprehensively synthesize evidence across these interrelated domains.Methodology: A comprehensive literature search was conducted using PubMed, Scopus, Cochrane, and Web of Science to identify studies addressing psoriasis in the context of lifestyle, nutrition, mental health, and interdisciplinary collaboration.Results: Lifestyle modifications, including weight management, anti-inflammatory dietary patterns, stress reduction strategies, regular physical activity, and sleep optimization, may significantly reduce disease severity and improve patient-reported outcomes. Mental health disorders and sleep disturbances are common among individuals with psoriasis and are increasingly recognized as important determinants of disease progression and treatment response.Conclusion: Psoriasis management should extend beyond pharmacotherapy to address modifiable lifestyle-related factors. Integrating care from dermatologists, dietitians, psychologists, and physiotherapists facilitates a more comprehensive and individualized approach. This model has the potential to improve not only clinical outcomes but also sleep quality, psychological well-being, and long-term self-management in patients with psoriasis.Keywords: psoriasis, patient-centered care, non-pharmacological treatment, lifestyle factors, multidisciplinary approach

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.173
GPT teacher head0.521
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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