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Record W4402584609 · doi:10.58631/ajhs.v3i9.128

Improving Cognitive Performance with Board Activities in Older Adults

2024· article· en· W4402584609 on OpenAlexaboutno aff
Aniek Puspitosari, Nabilla Khaerunissa Putri

Bibliographic record

VenueAsian Journal of Healthy and Science · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionPsychologyGerontologyCognitive agingMedicineNeuroscience

Abstract

fetched live from OpenAlex

Cognitive function decline is one of the problems that is often experienced as we age, and this has an impact on activities of daily living (ADL), social participation, employment, psychological conditions, and independence of pre-elderly and elderly. To maintain cognitive abilities, interventions in the form of cognitive activities are needed. The purpose of this study was to determine the effect of the Monopoli Modified Board Game (Indonesian Version) on the cognitive abilities of pre-elderly and elderly. The method used was pre-experimental one-group pretest and posttest, with 28 subjects from the elderly community RW 8, Kemiri, Kebakkramat, Karanganyar. Data collection was carried out using the Montreal Cognitive Assessment Indonesian Version (MoCa-Ina) instrument, and the modified monopoly game was conducted in 8 sessions for eight weeks. The results showed that there was a significant effect of the Monopoly Modified Board Game on the cognitive abilities of pre-elderly and elderly, with a paired t-test value of Sig. (2-tailed) = 0.001, which means the p-value <0.05. The mean difference of 2.25 indicates an increase in cognitive abilities after the intervention. The majority of research subjects were female, with a pre-elderly age category of 53.5%, most were not working (60.7%), and had the last education at a low level (75%). The implication of this study shows that the Monopoli Modified Board Game (Indonesian Version) can be an effective alternative intervention in improving cognitive abilities in pre-elderly and elderly, so that it can help them maintain independence and a better quality of life.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.228

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)0.0000.000

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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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
Published2024
Admission routes1
Has abstractyes

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