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Record W2030784070 · doi:10.4103/1755-6783.95965

Cardiovascular health promotion in schools of Delhi, India: A baseline evaluation of environment and policies

2012· article· en· W2030784070 on OpenAlexaboutno aff
Ravneet Kaur, D K Taneja, Puneet Mishra

Bibliographic record

VenueAnnals of Tropical Medicine and Public Health · 2012
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsBaseline (sea)New delhiPromotion (chess)MedicineHealth promotionEnvironmental healthCardiovascular healthEconomic growthPolitical scienceNursingInternal medicineEconomicsPublic healthPathology

Abstract

fetched live from OpenAlex

Background: Cardiovascular diseases (CVDs) are one of the most common causes of morbidity and mortality. Most of the risk factors of CVDs develop early in childhood. Schools immensely influence the thinking pattern of students and can thus shape their behavior. However, no amount of knowledge and awareness can change health behaviours of students until they get support from enabling environment in the schools. The Ottawa charter has also emphasized on building healthy public policy and creating supportive environments for health promotion in schools. Materials and Methods: The present study was conducted in 10 schools in Delhi, India. School policies, environment, community participation and approach of school health agency were assessed by interviewing authorities, review of related documents and direct observation in schools. Results: It was found that none of the schools had any written health policy. Environment in most of the schools was not conducive for cardiovascular health promotion. Conclusion: The study highlights that the schools lack health policies and environment for cardiovascular health and also points out the approach of school health agency, focusing on medical check-ups and treatment of minor illnesses.

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)0.008
metaresearch head score (Gemma)0.002
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 score0.344
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
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 integrity0.0000.000
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 head0.220
GPT teacher head0.420
Teacher spread0.200 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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