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Health Behaviors of Nursing Students: A Longitudinal Study

2002· article· en· W46829563 on OpenAlexaff
Madeleine Clément, Louis W. Jankowski, Louise Bouchard, Michel Perreault, Yves Lepage

Bibliographic record

VenueJournal of Nursing Education · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCurriculumHealth educationPopulationPsychologyNursingMedicineHealth behaviorPublic healthPedagogyEnvironmental health

Abstract

fetched live from OpenAlex

To ascertain the degree to which a health science curriculum may influence health-related behaviors among students, nine selected health behaviors of 52 undergraduate nursing students were studied for 3 consecutive years and compared to those of a similar group of education students. In addition, the health behaviors of both student groups were compared to those of the general population. During the study, the nursing students had no significant alterations in the observed health behaviors, and no significant differences were observed between the health behaviors of the two groups of students. Both groups manifested certain health behaviors that were significantly different from the general population. However, nursing students were observed more frequently to be significantly different from the general population. A 3-year nursing curriculum may have facilitated the adoption of some personal health behaviors, but the time demands of academic life may have induced students to reduce time-consuming health behaviors, such as getting enough sleep, eating breakfast, and exercising.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.244
GPT teacher head0.616
Teacher spread0.372 · 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

Citations44
Published2002
Admission routes1
Has abstractyes

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