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Record W2636008612 · doi:10.1515/ijamh-2016-0138

Differences in physical activity, eating habits and risk of obesity among Kuwaiti adolescent boys and girls: a population-based study

2017· article· en· W2636008612 on OpenAlexaff
Hanan E. Badr, S. Fatima Lakha, Peter Pennefather

Bibliographic record

VenueInternational Journal of Adolescent Medicine and Health · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOverweightObesityMedicinePhysical activityPopulationDemographyMultivariate analysisCross-sectional studyCluster (spacecraft)Adolescent ObesityGerontologyPediatricsEnvironmental healthPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The study aimed to assess gender differences among Kuwaiti adolescents in healthy living choices that impact the risk of obesity. A cross-sectional multistage cluster design was employed with a representative sample of 2672 students aged 13-15 years who completed a self-administered Global School-based Student Health (GSHS) survey. The study found that around 48.0% of adolescents were overweight and obese. More boys than girls were obese (28.2% vs. 22.3%, p < 0.0001). However, boys were more likely than girls to report healthy food choices regarding fruit (38.1% vs. 33.2%), and vegetables (21.8% vs. 16.7%). Only 20.7% of adolescents reported physical activity for more than 60 min/day, predominately by boys rather than girls (30.8% vs. 10.5%, respectively, p < 0.0001). Multivariate analysis revealed that male gender, skipping breakfast and physical inactivity were significantly correlated with the risk of overweight and obesity among adolescents. These results suggest that lifestyle education for promoting healthy body masses targeting adolescents should take gender into account.

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)0.001
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 score0.008
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.374
Teacher spread0.317 · 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

Citations34
Published2017
Admission routes1
Has abstractyes

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