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Record W2164075403

Regional differences in dietary habits of adult Croatian population.

2009· article· en· W2164075403 on OpenAlexaboutno aff
Jagoda Doko Jelinić, Jasna Pucarin‐Cvetković, Iskra Alexandra Nola, Ankica Senta, Milan Milošević, Josipa Kern

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianDemographyEnvironmental healthPopulationQuarter (Canadian coin)Public health interventionsGeographyPublic healthFood habitsMedicine
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the dietary habits of the adult Croatian population according to geographical regions and gender. Date was obtained from the Croatian Adult Health Survey questionnaire, carried out in six regions of Republic of Croatia (Eastern, Northern, Central, City of Zagreb, Mountainous and Coastal), with a total of 9,070 responses. Results have shown that the highest prevalence of unhealthy dietary habits was recorded in Eastern and Central regions, while Coastal region and city of Zagreb had significantly lower prevalence of unhealthy dietary habits (P < 0.05). Prevalence of unhealthy dietary habits was higher in men in all regions. Women had healthier dietary habits, what was strongly expressed in Coastal and Mountainous region. This study has shown that the unhealthy dietary habits were practiced by approximately one quarter of the adult population, regardless on the region in which they resided. Regional differences in dietary habits should be taken into account in any new public health studies and interventions.

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)0.000
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 score0.041
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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

Citations21
Published2009
Admission routes1
Has abstractyes

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