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Record W2970640055 · doi:10.22038/ijp.2019.41932.3533

The Factors Determining the Physical Activity of Students: A Systematic Review

2019· review· en· W2970640055 on OpenAlexaboutno aff
Ali Ramezankhani, Mansoure Alipour Anbarani, Masumeh Saeidi

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typereview
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical activityPsychologyMedicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

<strong><em><span style="font-family: Times New Roman;">Background</span></em></strong><br /> <span style="font-family: Times New Roman;">Physical activity in students in addition to positively affecting their different health aspects is also effective in academic progress and reducing absence from school. Physical activity in students is affected by several factors. The aim of this systematic review research was to identify the factors determining physical activities in students.</span><br /> <strong><em><span style="font-family: Times New Roman;">Materials and Methods</span></em></strong><br /> <span style="font-family: Times New Roman;">The search for detecting relevant studies was performed in electronic databases within the time range of 2008-2018. The studies were searched in Google scholar, Medline, Cochran, Scopus, EMBASE, and Web of Science. Studies meeting the inclusion criteria were included in the review. Assessment of the quality of papers was performed using New Castle-Ottawa (BOS) scale. Then, the required information was extracted and the results were reported qualitatively.</span><br /> <strong><em><span style="font-family: Times New Roman;">Results</span></em></strong><br /> <span style="font-family: Times New Roman;">A total of 12 studies (including 41,407 year-old students) were enrolled in the research according to inclusion criteria. The demographic factors associated with physical activity included age, gender, academic degree of parents and economic status. On the other hand, the psychological factors were supported by parents, support of friends, and lack of time due to school homework, computer games, sense of laziness and self-efficacy, which had a relationship with physical activity of students. Further, the environmental determinants included climatic conditions, sports facilities and equipment, and lighting of passages.</span><br /> <strong><em><span style="font-family: Times New Roman;">Conclusion</span></em></strong><br /> <span style="font-family: Times New Roman;">In students' physical activity, factors such as demographic, psychological, and environmental factors are involved. Identification of these factors can be used in health promotion interventions and planning for students.</span>

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0080.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.705
GPT teacher head0.758
Teacher spread0.054 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2019
Admission routes1
Has abstractyes

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