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Development of core recommendations on physical activity for Chinese students aged 7-18 years based on Delphi method and analytic hierarchy process

2021· article· en· W3199458811 on OpenAlexaboutno aff
Zhang Jingshu, Dongmei Luo, Yan Xiaojin, Ma Ning, Yunfei Liu, Dang Jiajia, Panliang Zhong, LI Liubai, Jun Ma, Yi Song

Bibliographic record

Venue中国学校卫生 · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDelphi methodPsychologyPhysical activityPhysical activity levelPhysical fitnessApplied psychologyGerontologyPhysical therapyMedical educationMedicineMathematics

Abstract

fetched live from OpenAlex

Objective  To construct core information about physical activities of Chinese students aged 7-18 years, so as to provide a reference for impoving the level of adolescents' physical activities. Methods  Canadian 24-Hour Movement Guidelines for Children and Youth was used as a framework, the preliminary core recommendations on physical activity for Chinese students aged 7-18 years were developed based on qualitative research. Recommendations covered three scales, including physical activity, sedentary behaviour and sleep. Physical activity included four subscales of frequency, intensity, duration and type, while sedentary behaviour and sleep only included one subscale. Three rounds of consultation were conducted using Delphi method. In the second round of consultation, the results of 2014 Chinese National Surveys on Students Constitution and Health were presented to experts for reference. In the third round of consultation, experts need to rank the importance of seven items of physical fitness under the physical activity type subscale by age group through analytic hierarchy process. Results  Totally 25, 25, and 18 experts were consulted in three rounds respectively. The questionnaire response rates in 3 rounds were 100.0%, 100.0%, and 94.4%, respectively. The authority coefficients were 0.92, 0.93, and 0.91. The harmony coefficients were 0.63(χ2=237.10, P Conclusion  The development of core recommendations on physical activity for Chinese students aged 7 to 18 might help improve physical activity levels and promote health of children and adolescents.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.249
GPT teacher head0.603
Teacher spread0.354 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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