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Record W4411656644 · doi:10.51847/tyolebtsqu

10.51847/tYoleBtSqu

2000· article· en· W4411656644 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsOverweightObesityEnvironmental healthGeographyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Objectives: To study the prevalence of overweight and obesity among adults in Enugu metropolis, Nigeria.Methods: A cross-sectional study involving randomly selected 716 adults was conducted.Standard anthropometric measurements were taken, and fasting glucose concentration was determined.Results: The prevalence of overweight and obesity was 29.9% and 13.1%, respectively.Overweight and obesity affected females more than males.Overweight was 36.7% in females, and 25.0% in males, while female obesity was 16.0% and 11.0% in males (P<0.05).Overweight and obesity were the highest among the age group of 40-49.A greater proportion of married participants were overweight (56.3%) and obese (36.1%) compared to their single counterparts (23.2%) and (14.6%); respectively (P<0.05).Traders (56.2%) and civil servants (50.2%) had a higher prevalence of overweight, but obesity was seen mostly in civil servants (30.2%).Overweight males were more diabetic (20.2%), while obese females were more frequently diabetic (18.8%).Conclusion: Overweight and obesity have been found to be common in Enugu metropolis.Increased physical activities at home and in work places in addition to the nutritional education would reduce this burden.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9280.935

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 head0.059
GPT teacher head0.397
Teacher spread0.338 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2000
Admission routes1
Has abstractyes

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