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Record W4412835701 · doi:10.1101/2025.07.31.25331974

Beyond Symptoms: WHODAS as a Biopsychosocial Measure to Complement Functioning Assessment in Parkinson’s Disease

2025· preprint· en· W4412835701 on OpenAlexaboutno aff
Katia Cirilo, I. Almeida Pereira da Silva Nascimento, Rafaela Pires Bocicovar, Carolina D. Santana, Fernando Fachine da Silva Fidelis, Luiza Mattos Aranha, André Frazão Helene, Antônio C. Roque, Carsten Eggers, Maria Elisa Pimentel Piemonte

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBiopsychosocial modelComplement (music)PsychologyMedicineDiseaseClinical psychologyPsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

Abstract Functionality is considered the third health indicator, complementing the traditional mortality and morbidity metrics. However, functionality is rarely assessed systematically in Parkinson’s disease (PD) clinical practice and research, where symptom-based scales predominate. Identifying declines across various dimensions of functionality in PD is essential for patient education, disease management, and guiding new intervention strategies. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a comprehensive assessment tool developed by the World Health Organization (WHO) based on the International Classification of Functioning, Disability and Health (ICF) to standardize the measurement of functionality and disability impacts across diverse health conditions and cultural contexts. This study aimed to characterize functionality across PD severity stages using the WHODAS 2.0, independent of age, sex, socioeconomic status (SEC), and education. A total of 352 patients were divided into four clinically severity PD stage groups according to the Hoehn & Yahr (H&Y) scale. The age, sex, SEC and education levels were controlled to guarantee paired groups. All participants were evaluated remotely using the Telephone - Montreal Cognitive Assessment (T-MoCA), Beck Depression Inventory (BDI), Movement Disorder Society – Unified Parkinson’s Disease Rating Scale, Part I (MDS-UPDRS I) and Part II (MDS-UPDRS II) and WHODAS 2.0. The most affected functionality dimensions were Mobility, Activities of Daily Life related to the Household, and Participation. The nonparametric Kruskal-Wallis test revealed a significant effect of the group for all functionality dimensions. Notably, Mobility, Activities of Daily Life related to the Household, and Self-Care showed a gradual decline starting from stage 1 of H&Y. In contrast, Cognition, Getting Along and Participation exhibited progressive impairment only from stage 2 of H&Y. This study is the first to describe functionality in PD using WHODAS 2.0 across severity stages controlling for key demographic factors. Findings highlight that WHODAS captures functional limitations not identified by symptom-focused scales such as MDS-UPDRS. Incorporating WHODAS into routine assessment may improve patient-centered care by informing interventions targeting functional limitations from early disease stages. Highlights WHODAS 2.0 captures functionality domains not assessed by MDS-UPDRS. Functional decline in mobility, self-care, and household tasks starts at early PD stages. Participation, cognition, and interpersonal relationships decline from stage 2 onwards. Functionality decline is independent of age, sex, education, and socioeconomic status. WHODAS provides a biopsychosocial assessment essential for person-centered PD care.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.331
Teacher spread0.305 · 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 designObservational
Domainnot available
GenreEmpirical

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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