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Dietary Practice and Physical Activity in Children with Down Syndrome and Their Siblings in Saudi Arabia

2013· article· en· W2031929543 on OpenAlexvenueno aff
Badreldin A. Mohamed, Adel A. Alhamdan, Manal M. Samarkandy

Bibliographic record

VenueCanadian Journal of Clinical Nutrition · 2013
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDown syndromePediatricsPhysical activityObesityPhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: Feeding difficulties and inappropriate nutrition are common problems among children with Down Syndrome (DS). Objective: The aim of this study is to investigate the dietary practice and physical activity among children with DS. Methodology: The study groups were pre-pubertal DS boys and girls, aged 5 to 12 years clinically and cytogenetically proven to be suffering from DS. Healthy siblings, closest in age to the DS children were used as a control group. Breast feeding, eating difficulties, fast food intake, and physical activity were measured for both groups. Results: During infancy period, 36.4% of the DS children were bottle fed, compared to only 5.5% of the normal siblings. Nearly half of the breast-fed DS children were fed for duration of less than 6 months. The percentage of the DS children experiencing dietary difficulties is significantly higher compared to the siblings. Concerning physical activity, 73.1% of DS children did not exercise as compared to 44.2% of the control siblings. Conclusion: Controlling feeding practices and encouraging Down syndrome children to participate in physical activity either through support from parents or through designing special programs and facilities and are two avenues that can be used for obesity prevention.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.053
GPT teacher head0.360
Teacher spread0.307 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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