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Record W4406196173 · doi:10.1002/alz.086148

Mobile Early Detection Memory Screening in the Republic of Armenia

2024· article· en· W4406196173 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Background The Republic of Armenia is a post‐Soviet, low‐ and middle‐income country (LMIC) in the south Caucasus region with a steadily increasing aging population. The goal of this study was to provide the first look into the national cognitive health in Armenia, considering the growing burden of cognitive impairment (CI) and widespread lack of public awareness about dementia. As a component of the early detection memory screening program launched by Alzheimer’s Care Armenia’s Brain Health Project and funded through Davos Alzheimer’s Collaborative (DAC), this study aimed to understand the prevalence of CI and associated factors across the adult population. Methods Utilizing a mobile clinic, a sample of 4,066 adults (aged 25‐94) were screened for cognitive impairment across 8 urban and rural provinces in Armenia. Participants completed a Montreal Cognitive Assessment (MoCA) screening test and Health Characteristic Questionnaire including items about health behaviors and chronic health conditions. Statistical analyses were used to investigate demographic trends of CI and test for significant associations. Results MoCA scores indicated the following cognitive levels in this population: 71.2% normal cognition, 23.7% mild cognitive impairment, 4.2% moderate cognitive impairment, and 0.8% severe cognitive impairment. The most prevalent chronic conditions included history of COVID, hypertension, history of depression, and history of heart disease (Table 1). The most common health behavior was poor sleep quality (Table 2). All health behaviors and chronic health conditions were significantly associated with CI. The sample consisted of mostly women (81.5%), individuals with 12 or less years of education, higher BMI levels, and those living in rural areas, which may present potential limitations. Conclusion Findings reveal lifestyle and environmental exposures relevant to CI and highlight the possible influence of behavioral and cultural factors on dementia development. As the first study to investigate the prevalence of CI and associated factors in Armenia, this research lays the foundations for understanding unmet needs for cognitive health, guiding future policy, and establishing sustainable health infrastructure in similar post‐Soviet, LMIC. Future research should be aimed at further investigating which risk factors are predictive of cognitive status and dementia development in the region.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.309
Teacher spread0.272 · 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