MétaCan
Menu
Back to cohort
Record W2026712023 · doi:10.1177/1090198107301331

Osteoporosis Health Beliefs Among Younger and Older Men and Women

2006· article· en· W2026712023 on OpenAlexaff
Shanthi Johnson, William D. McLeod, Laura E Kennedy, Katherine M. McLeod

Bibliographic record

VenueHealth Education & Behavior · 2006
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsAcadia UniversityUniversity of AlbertaSaskatchewan HealthUniversity of Regina
Fundersnot available
KeywordsSeriousnessOsteoporosisHealth belief modelMedicineClinical psychologyGerontologyPublic healthPsychologyHealth promotionNursing

Abstract

fetched live from OpenAlex

The purpose of this study was to compare osteoporosis health beliefs among different age and gender groups. This study used a cross-sectional design, involved 300 participants that represent both genders and three age groups (18 to 25, 30 to 50, and 50-plus), and assessed osteoporosis health beliefs using the Osteoporosis Health Belief Scale (OHBS). Factor analysis revealed three subscales of OHBS: perceived susceptibility, seriousness of the condition, and health motivation to take preventative actions with acceptable levels of reliability. Significant age and gender differences were observed in the susceptibility scores of the OHBS. The perceived seriousness of the osteoporosis scores was similar across all age and gender groups, as was health motivation. These results highlight the need for osteoporosis awareness programs targeting different aspects of belief perceptions, specifically for younger women and men.

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.355
Teacher spread0.337 · 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

Citations62
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueHealth Education & BehaviorSame topicBone health and osteoporosis researchFrench-language works237,207