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Record W4417101666 · doi:10.32382/fis.v17i2.1861

HUBUNGAN ANTARA AKTIVITAS FISIK DENGAN FUNGSI KOGNITIF REMAJA USIA 10-11 TAHUN DI KABUPATEN JENEPONTO

2025· article· W4417101666 on OpenAlexaboutno aff
Amalia Martha, Fadhia Adliah, Rabi'a, Rijal

Bibliographic record

VenueMedia Fisioterapi Politeknik Kesehatan Makassar · 2025
Typearticle
Language
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisPhysical activityResearch methodResidential care

Abstract

fetched live from OpenAlex

Remaja beresiko mengalami gangguan fungsi otak serta gangguan kognitif usia dini sehingga dibutuhkan tindakan preventif, salah satunya dengan meningkatkan intensitas aktivitas fisik melalui aktivitas-aktivitas fisik yang dibiasakan sejak dini. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat aktivitas fisik dengan fungsi kognitif remaja usia 10-11 tahun. penelitian ini menggunakan metode deskriptif dengan rancangan cross sectional. Sampel sebanyak 50 responden yang berjumlah 25 orang laki-laki dan 25 orang perempuan. Kriteria inklusi sampel meliputi pelajar aktif sekolah dasar, usia 10-11 tahun, dan bersedia menjadi responden. Data yang dikumpulkan meliputi tingkat aktivitas fisik menggunakan Physical Activity Questionaire Children (PAQ-C) dan tes kognitif menggunakan Montreal Cognitive Assesment-Versi Indonesia (MoCA-Ina). Hasil penelitian menunjukkan ada hubungan antara tingkat aktivitas fisik dengan fungsi kognitif remaja usia 10-11 tahun melalui uji Spearman’s Coefficient of (Rank) Correlation dengan nilai signifikansi sebesar 0,044 (p < 0, 05). Penelitian ini menunjukkan beberapa remaja dengan aktivitas fisik yang tinggi memiliki fungsi kognitif normal, serta remaja dengan aktivitas yang rendah cenderung mengalami gangguan fungsi kognitif ringan. Adolescents are at risk of impaired brain function as well as early cognitive disorders so that preventive measures are needed, one of which increases the intensity of physical activity through physical activities that are familiarly used. The study aims to figure out the relationship between levels of physical activity with adolescent cognitive function aged 10-11 years. This research uses descriptive methods with cross cross-sectional design. Samples of 50 respondents totalled 25 girls and 25 boys. Sample inclusion criteria include active learners of elementary school, aged 10-11 years, and willing to become respondents. The Data collected includes the level of physical activity using the Physical Activity Questionnaire for Children (PAQ-C) and cognitive tests using the Montreal Cognitive Assessment-Indonesian version (MoCA-Ina). The results showed there was a link between levels of physical activity with adolescent cognitive function aged 10-11 years through Spearman's Coefficient of (Rank) Correlation trials with a correlation value of 0,44 (p < 0,05). This study shows that some teenagers with physical activity have normal cognitive function, as well as teenagers with low activity are likely to experience impaired cognitive function. Keywords: Adolescents, Cognitive Function, Physical Activity

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)0.002
metaresearch head score (Gemma)0.003
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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.064
GPT teacher head0.412
Teacher spread0.348 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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