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Record W4396679443 · doi:10.55229/ijbs.v27i1.08

Assessment of Behavioral and Psychological Symptoms in Dementia, Associated Risk Factors and Clinical Correlates

2024· article· en· W4396679443 on OpenAlexaboutno aff
Astha Jain, Sumit Mehta, Sanjibani Panigrahi, Sumit Khatri, Rupali Rohatgi, Shobit Garg, Mohan Dhyani

Bibliographic record

VenueIndian Journal of Behavioural Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaPsychologyClinical psychologyMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Background: The presence of behavioral and psychological symptoms in dementia (BPSD) are associated with hospitalization, rapid cognitive decline, poor quality of life and higher caregiver burden. Thus, we aim to characterize the BPSD symptoms, its relationship to dementia-related risk factors and their predictive value, if any.Methodology: In 48 adults (mean age: 70.27 ± 10.08) with major neurocognitive disorder (MNCD) as per diagnostic and statistical manual of mental disorders, 5th edition and with Hindi mental status examination scores less than or equal to 23 were recruited. Patients were assessed for cognition by hindi Montreal cognitive assessment (HMOCA) and the clinical dementia rating scale (CDR). BPSD and caregiver burden were assessed using the neuropsychiatric inventory (NPI) and burden assessment schedule (BAS). The correlation of NPI scores with socio-demographic variables and clinical variables was assessed. A forward stepwise linear regression (using p-value < .05) was used to identify possible predictors of the NPI scores.Results: The majority of participants were predominantly males, 25 (52.1%), from urban regions, belonged to middle-class socio-economic status and had severe grading (HMOCA (< 10) of MNCD (25 (52.2%) but had moderate caregiver burden (25 (52.2%)). The most common MNCD type was due to Alzheimer’s disease (22 (45.8%)). Cortical atrophy and ischemic infarcts were the most common neuroimaging abnormalities reported (7 (14.9%)). Mean HMOCA, clinical dementia rating scale (CDR), NPI and BAS scores were 9.13 ± 6.96, 1.50 ± 1.05, 41.79 ± 27.06 and 68.65 ± 22.84, respectively. The most common BPSD domains were sleep disturbance (60.4%) and hallucinations (56.25%). Among the established risk factors, hypertension was present in the highest proportion (21 (43.8%)). As per the stepwise logistic regression model CDR scores, smoking status and HTN were predicted risk factors (R²: 0.452; p = 0.045).Conclusion: Irritability/agitation is most prevalent BPSD. The severity of MNCD, smoking and hypertension may help in the prediction of BPSD and their role may have to be explored in further studies.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.453
Teacher spread0.356 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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