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Record W4407862369 · doi:10.1080/01616412.2025.2470709

Education level and health profile related to global cognitive impairment in an urban community in West Jakarta, Indonesia

2025· article· en· W4407862369 on OpenAlexaboutno aff
Yvonne Suzy Handajani, Yuda Turana, Kevin Kristian, Nelly Tina Widjaja, Aylenia Lysandra, Elisabeth Schröder‐Butterfill, Antoninus Hengky

Bibliographic record

VenueNeurological Research · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentGeographySocioeconomicsPsychologyCognitionGerontologyMedicineSociologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aims to investigate the association of global cognitive with chronic conditions, physical impairment, olfactory function, socio-demographics and other factors among older adults in the urban community, West Jakarta. MATERIALS AND METHODS: The cross-sectional study involved 334 older adults aged 60 years and older who resided in urban community Jakarta, Indonesia. Trained interviewers visited and evaluated the respondents in the sub-district office. Cognitive function is examined using Montreal Cognitive Assessment-Indonesian Version (MoCA-INA). Respondents were clinically examined using a standardized protocol, which included medical history, general physical examination, cognitive assessment, and blood test for diabetes. RESULTS: Global cognitive impairment was significantly associated with being female (adjusted odd ratio [AOR]: 1.99, 95% CI: 1.14-3.50) and low education (AOR: 4.79, 95% CI: 2.80-8.18). Moreover diabetes, impaired balance, and olfactory dysfunction have AOR:3.23 (95% CI: 1.39-7.51), 2.55% (95% CI: 1.07-6.07), and 2.26 (95% CI: 1.32-3.85) respectively. CONCLUSION: This paper highlights that cognitively impaired and diabetic as well as low education subject in urban community, West Jakarta, Indonesia. Global cognitive impairment was associated with being female, having obtained low levels of education, having diabetes, impaired balance and olfactory dysfunction.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.045
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.132
GPT teacher head0.491
Teacher spread0.359 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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