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Nutritional status of the elderly attending public polyclinics in Benghazi city, Libya

2017· article· en· W2765510358 on OpenAlexaff
Faiza Nouh, Mariam Omar, Manal Younis, Moftah Younis

Bibliographic record

VenueInternational Journal of Community Medicine and Public Health · 2017
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMalnutritionMedicineConstipationDysphagiaPublic healthEnvironmental healthCross-sectional studyGerontologyPediatricsInternal medicineSurgeryNursing

Abstract

fetched live from OpenAlex

Background: Ageing brings various physiological and non physiological changes which influence the nutritional status. Methods: A cross-sectional study extended from 1st December 2007 to 15th April 2008 on elderly of both sexes attending public polyclinics in Benghazi city. Results: 6.5% was the prevalence of malnutrition. 36.8% was the percentage of elderly at risk of malnutrition. Age, sex, occupation, income inadequacy to food, oral problems, dysphagia, constipation and dehydration, activity level, chronic disease, food intolerances and BMI all these factors were the various physiological and non-physiological factors associated with the nutritional status of the subjects. Conclusions: Outpatients elderly in Benghazi should be routinely screened and assessed if needed, for malnutrition or its risk.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.371
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.301
GPT teacher head0.484
Teacher spread0.183 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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