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Record W4248524880 · doi:10.3402/ljm.v3i1.4745

Nutritional Status Of Under-Five Children In Libya; A National Population-Based Survey

2008· article· en· W4248524880 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLibyan Journal of Medicine · 2008
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsOverweightUnderweightWastingMedicineMalnutritionEnvironmental healthPopulationSocioeconomic statusRural areaDemographyPrevalencePediatricsObesity

Abstract

fetched live from OpenAlex

Aim: To describe the nutritional status of children under-five years of age in Libya. Population and methods: A secondary analysis of data of 5348 children taken from a national representative, two-stage, cluster-sample survey that was performed in 1995. Results: Prevalence rates of underweight, wasting, stunting, and overweight were determined using standard definitions in reference to newly established WHO growth charts. The study revealed that 4.3% of children were underweight, 3.7% wasted, 20.7% stunted, and 16.2% overweight. Seventy percent of children had normal weight. Undernutrition was more likely to be found in males, in rural areas, and in underprivileged groups. Overweight was more likely found in urban, privileged groups. Wasting was more common in arid regions; stunting was more common in mountainous regions of Al-Akhdar, Al-Gharbi, and in Sirt. Al-Akhdar had the highest prevalence of overweight. Conclusion: The country had a low prevalence of underweight and wasting, moderate prevalence of stunting, and high prevalence of overweight. The country is in the early stages of transition with evidence of dual-burden in some regions. Similar surveys are needed to verify secular trends of these nutritional problems, particularly overweight.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.037
GPT teacher head0.307
Teacher spread0.270 · 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