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Record W4406030182 · doi:10.1002/alz.090348

A CAN‐PROTECT study: The effect of self‐reported and study partner‐reported mild behavioral impairment on quality of life in older adults without dementia

2024· article· en· W4406030182 on OpenAlexaff
Ibadat Warring, Dylan X. Guan, Zahinoor Ismail, Eric E. Smith

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsDementiaQuality of life (healthcare)Marital statusChecklistClinical psychologyPsychologyCognitionMedicineGerontologyDiseasePsychiatryPopulationInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Mild behavioral impairment (MBI) is a syndrome that leverages neuropsychiatric symptoms that emerge in later-life, and which persist, to identify individuals at high-risk for incident dementia. Attendant with MBI are changes in quality of life (QoL), which can present concurrent with the onset of cognitive decline or even before. Obtaining information from participants and study partners can provide a broader overview of health and QoL. We investigated the relationship between MBI and QoL in dementia-free older adults, incorporating both self- and study partner reports. METHODS: Data (n = 608) are from the CAN-PROTECT study. MBI status (±) was determined with a MBI Checklist cut-off score ≥8 based on self- or study-partner report, resulting in a four-level categorical variable of MBI positivity/negativity (S-/SP-[concordant MBI-], S+/SP-[discordant MBI S+], S-/SP+[discordant MBI SP+], S+/SP+[concordant MBI+]). QoL was assessed using the self- and study-partner-reported EQ-5D (higher scores reflecting poorer QoL). Linear regression modelled associations between MBI status (exposure) and EQ-5D total score (outcome), adjusted for age, cognition, sex, education, ethnocultural origin, marital status, employment status, high blood pressure, diabetes, and heart disease. A sensitivity analysis removed EQ-5D affective symptoms. RESULTS: Participants (mean age = 64.8±7.1, 77.0% female) had mean self-reported scores of 4.6±6.7 for MBI and 6.7±1.8 for EQ-5D. Study partners reported mean scores of 3.7±5.8 for MBI and 1.4±0.4 for EQ-5D. Distribution of MBI status was 71.9% for concordant MBI-, 13.3% for discordant S+, 8.3% for discordant SP+ and 6.6% for concordant MBI+. QoL was poorer in the concordant MBI+ group for self-reported (b = 2.48, 95% confidence interval [95%CI]: 1.96-3.00, p<.001) (Table 1) and study-partner reported EQ-5D (b = 2.63, 95%CI: 2.00-3.27, p<.001) (Table 2), compared to concordant MBI- group. There was a significant association with discordant MBI S+ (p<.001) but not discordant MBI SP+ (p<.81) with self-reported EQ-5D. Both discordant groups were significant with study-partner reported EQ-5D. CONCLUSION: In a mostly cognitively unimpaired community dwelling sample, MBI associations with self- and study-partner-reported QoL were strongest when MBI symptoms were endorsed by both participants and their study partners. These findings underscore the importance of including study partners brain aging research across the cognitive continuum.

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)0.011
metaresearch head score (Gemma)0.018
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 score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.052
GPT teacher head0.389
Teacher spread0.338 · 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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