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Record W2293021292 · doi:10.14288/1.0094920

Evaluation of a short-term health educational program

2010· article· en· W2293021292 on OpenAlexaboutno aff
Anne MacLeod Vogel

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Computer science

Abstract

fetched live from OpenAlex

An intervention study was conducted in a Vancouver, British Columbia High School in the Spring of 1977. The objective of the study was to measure changes in knowledge, attitude and behaviour in regard to the cardiovascular risk-factors, smoking, physical inactivity and high-fat diet, following a short-term educational program. The principal hypotheses were that students exposed to an educational program directed towards reducing cardiovascular risk-behaviours will: (I) have more knowledge about cardiovascular risk-behaviours than students who are not exposed to the program. (2) have a more positive attitude towards reducing cardiovascular risk-behaviours than students who are not exposed to the program. (3) will change their behaviour in such a way as to practice fewer risk-behaviours than students who are not exposed to the program. The majority of the students in the study school were from middle-class backgrounds and were in the university entrance program. The study population consisted of all of the students in grade 9 and one-half of the students in grade 10 and 11 for a total of 510 students. The students were randomly assigned to two groups. One group was exposed to a health educational program directed towards reducing risk of cardiovascular disease. The program consisted of a presentation by a health educator, a film and written materials provided by the British Columbia Heart Foundation. The control group took part in the regular school guidance classes. A pretest, post-test research design was used. The measuring instrument used was a written questionnaire developed from the content of the educational program. The students completed the same questionnaire before and after their exposure to the educational program. The students also took part in pretest, post-test fitness testing using the Canada Home Fitness Test. The 287 students exposed to the educational program were compared with 187 from the same grade and school who were not exposed to the educational program. In regard to the hypotheses stated above, significantly more students in the intervention group answered 11 of the 34 of the knowledge questions correctly. There were no differences between the intervention and nonintervention groups indicated by replies to the questions about attitude towards reducing cardiovascular risk. There were no differences between the intervention and nonintervention group in self-reported, cardiovascular risk-behaviour. Fitness levels as measured by the Canada Home Fitness Test showed a puzzling increase in fitness among the nonintervention group. In summary, the study indicated that students exposed to a health educational program in school had a significant increase in health knowledge but not in health, attitude nor behaviour. The evidence in this study that students made significant knowledge gains following an educational program, together with the theory that knowledge of factual information is often the first step in the decision making process (Bloom, 1956), justifies continued health educational programs in schools. Although, this study did not provide evidence of attitude or behaviour change in the short-term, further long-term evaluative studies of health educational programs in the schools are indicated.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.055
GPT teacher head0.384
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

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