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Record W4319734814 · doi:10.1016/j.jesf.2023.02.001

Indicators of physical activity and nutritional status among children and adolescents in Zimbabwe: Findings from three global matrix initiatives

2023· article· en· W4319734814 on OpenAlexaff
Taru Manyanga, Daga Makaza, Nyaradzai Munambah, Carol Mahachi, Caroline C. Mavingire, Tholumusa F. Mlalazi, Matilda Mukaro, Tonderayi M. Matsungo

Bibliographic record

VenueJournal of Exercise Science & Fitness · 2023
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsRubricPhysical activityReport cardGovernment (linguistics)Grading (engineering)Physical fitnessPsychologyEnvironmental healthMedicinePhysical therapyEngineeringMathematics education

Abstract

fetched live from OpenAlex

Regular physical activity is associated with several benefits among children and adolescents. Globally, only limited surveillance data, collected using harmonized approaches to accurately compare levels of physical activity among children and adolescents are available. Through its Global Matrix initiatives, Active Health Kids Global Alliance provides an opportunity for participating countries/jurisdictions to compare physical activity levels of children and adolescents based on ten common indicators. The 2022 Zimbabwe Report Card summarizes the best available evidence and assigns grades on these ten indicators of physical activity for children and adolescents. Through an iterative process, a team of national experts working in various sectors of physical activity used Active Healthy Kids Global Alliance's Global Matrix benchmarks and grading rubric, to assign Report Card grades on 10 indicators of physical activity (Overall Physical Activity, Organized Sport and Physical Activity, Active Play, Active Transportation, Sedentary Behaviours, Physical Fitness, School, Family and Peers, Community Environment, and Government) among 5-17-year-old children and adolescents in Zimbabwe. Published and unpublished data as well as policy documents informing grades for each indicator were summarized. An unweighted average of all studies with data for an indicator was used to inform the grade assignment. Where data were unavailable or insufficient to provide accurate estimates, an incomplete grade was assigned. The primary purpose of the present study was to synthesize and summarize the best available data and assign grades on 10 common indicators of physical activity for children and adolescents. The secondary objective was to compare Report Grades across three Global Matrix initiatives. Grades for the ten common indicators for Global Matrix 4.0 plus Nutritional Status (B+) were assigned as follows: Overall Physical Activity (C+), Organized Sport and Physical Activity (B-), Active Play (C+), Active Transportation (B), Sedentary Behaviours (C), Physical Fitness (Incomplete), Family and Peers (Incomplete), School (C), Community and Environment (C-), Government (D). Generally, grades for individual behaviours (Physical Activity, Organized Sport and Physical Activity, Active Play, Active Transportation, Sedentary Behaviours) were higher than for sources of influence (Family and Peers, School, Community and Environment, Government). Across 3 Global Matrices, the grade for Overall Physical activity (C+) did not change, Community and Environment (F, D, C-) steadily improved over time; while those for Active Transportation, Sedentary Behaviours and Sports were unchanged for Global Matrix 2.0 and 3.0, but declined for Global Matrix 4.0. Although grades for individual behaviours were higher than those for sources of influence, overall, our findings show that the levels of physical activity among children and adolescents in Zimbabwe were lower than recommended. Robust surveillance data with large and representative samples are required to provide accurate estimates of physical activity participation among children and adolescents in Zimbabwe. Furthermore, policies and initiatives that promote equitable physical activity participation among children and adolescents are urgently needed in Zimbabwe.

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 score0.004
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.010
GPT teacher head0.301
Teacher spread0.290 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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