MétaCan
Menu
Back to cohort
Record W4414757801 · doi:10.1159/000548713

Sex Differences in Phenomenology of Behavioral and Psychological Symptoms of Dementia

2025· article· en· W4414757801 on OpenAlexafffund
Samira Choudhury, Sarah Colman, Li Chu, Simon Davies, Peter Derkach, Sarah Elmi, Corinne E. Fischer, Philip Gerretsen, Ariel Graff-Guerrero, Maria Hussain, Zahinoor Ismail, Shehroz S. Khan, Donna Kim, Linda Krisman, Rola Moghabghab, Benoit H. Mulsant, Vasavan Nair, Bruce G. Pollock, Soham Rej, Aviva Rostas, David L. Streiner, Lisa Van Bussel, Tarek K. Rajji, Sanjeev Kumar, Amer M. Burhan

Bibliographic record

VenueNeurodegenerative Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcMaster UniversityMcGill UniversityUniversity of CalgaryPublic Health OntarioCARE CanadaWestern UniversityUniversity of TorontoOntario Shores Centre for Mental Health SciencesQueen's UniversityLondon Health Sciences CentreCentre for Addiction and Mental HealthSt. Michael's Hospital
FundersDepartment of Psychiatry, University of TorontoNational Institutes of HealthFonds de Recherche du Québec - SantéMitacsEisaiOntario Ministry of Health and Long-Term CareCanadian Institutes of Health ResearchWeston Brain InstituteCentre for Addiction and Mental Health FoundationFondation Brain CanadaJohns Hopkins UniversityBrightFocus FoundationOntario Ministry of Research and InnovationH. Lundbeck A/SPatient-Centered Outcomes Research InstituteUniversity of TorontoBiogenNational Institute on AgingConsortium canadien en neurodégénérescence associée au vieillissementAlzheimer's Drug Discovery Foundation
KeywordsPhenomenology (philosophy)DementiaRelevance (law)DiseaseInterpretative phenomenological analysisLived experience

Abstract

fetched live from OpenAlex

INTRODUCTION: Behavioral and psychological symptoms in dementia (BPSD) are highly prevalent in patients with Alzheimer's dementia (AD). We examined sex differences in the frequency and severity of BPSD in patients with AD living in long-term care homes or admitted to inpatient psychiatric units. METHODS: Data were obtained from the Standardizing Care for Neuropsychiatric Symptoms and Quality of Life in Dementia (StaN) study (ClinicalTrials.gov/NCT03672201). BPSD were assessed using the Neuropsychiatric Inventory-Clinician rating scale (NPI-C), and symptom clusters were clustered as follows: (1) psychosis (hallucinations and delusions), (2) emotional distress cluster A (depression and anxiety), (3) emotional distress cluster B (depression, anxiety, and apathy), and (4) agitation (agitation, aggression, irritability, aberrant motor behavior, and aberrant vocalizations). Sex differences in frequency and severity of individual BPSD and clusters were compared using chi-square and Mann-Whitney U tests and generalized linear models while controlling for age and place of residence. RESULTS: Females had higher frequency (males = 21.7% vs. females = 42.9%, χ2 = 8.83, N = 174, p = 0.003) and greater severity of delusions (mean [SD] males = 51.87 [44.15], mean [SD] females = 67.93 [70.53], U = 2,924, N = 174, p = 0.002). Males had higher frequency (males = 51.8% vs. females = 27.5%, χ2 = 10.80, N = 174, p = 0.001) and greater severity of sleep disorders (mean [SD] males = 2.94 [4.21], mean [SD] females = 1.76 [3.92], U = 2,885.50, N = 174, p = 0.002). After controlling for age and residence, sex differences remained significant for delusions (Wald χ2 = 3.97, N = 176, p = 0.046), but not for sleep disorders. There were no sex differences in the frequency or severity of any BPSD clusters. CONCLUSIONS: We observed sex differences in the frequency and severity of specific BPSD. Future studies should aim to understand potential mechanisms underlying these differences and to study their relevance in screening, and for individualized sex-specific management of BPSD.

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)0.002
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.364
Teacher spread0.325 · 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 routes2
Has abstractyes

Explore more

Same venueNeurodegenerative DiseasesSame topicDementia and Cognitive Impairment ResearchFrench-language works237,207