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Record W791393907 · doi:10.5539/ass.v12n1p159

Examining Sport and Physical Activity Participation, Motivations and Barriers among Young Malaysians

2015· article· en· W791393907 on OpenAlexvenueno aff
Chiu Khong Lim, Muhammad Mat Yusof, Mohd Sofian Omar Fauzee, Ahmad Tajuddin Othman, Mohd Salleh Aman, Gunathevan Elumalai, Hamdan Mohd Ali

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical activityPsychologyOrder (exchange)Health benefitsPhysical fitnessGerontologyMedicineBusinessPhysical therapy

Abstract

fetched live from OpenAlex

<p>Although a considerable amount of research has contributed to our understanding of the underlying causes of sporting behaviour, there is a paucity of research examining the motivations and barriers in sport and physical activity participation among young Malaysians. In order to address the gap in the literature, thus, this study was designed to ascertain the motivations and barriers in sport or physical activity participation among young Malaysians across the country. The study included 2894 young Malaysians ranged in age from 15 to 30 years old. A cross-sectional survey questionnaires comprised of open and close-ended items pertaining to sport participation level, participation motivations and barriers, and socio-demographic characteristics were conducted. The results show that 1465 were active, 710 were less active and 719 were inactive in sport and physical activity participation. In terms of their motives and barriers to sport and physical activity participation, the results indicate that the common motives for participation included ‘physical fitness’, ‘improve health’, ‘reduce stress’, ‘leisure time’ and ‘active lifestyle’. On the other hand, common barriers for those who do not participate in sport and physical activity included ‘no time’, ‘no interest’, ‘weather’, ‘health reasons’, and ‘lack of facilities’. Thus, the sport organization management needs to understand the motives and barriers to sport and physical activity of young Malaysians participation in order to optimize throughout their sporting endeavor and exercise adherence.</p>

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.064
GPT teacher head0.352
Teacher spread0.288 · 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

Citations28
Published2015
Admission routes1
Has abstractyes

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