MétaCan
Menu
Back to cohort
Record W2496341803

Oral hygiene education in adolescence based on the Precaution Adoption Process Model.

2012· article· en· W2496341803 on OpenAlexaff
Jolanta Aleksejūnienė, Vilma Brukienė

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineOral hygienePsychological interventionIntervention (counseling)Stratified samplingDentistryNursing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The present study hypothesised that interventions based on the Precaution Adoption Process Model (PAPM) are more effective than the conventional approach in modifying oral hygiene behaviour in adolescents. METHOD: A stratified random sampling method was used with subject groups (classrooms) randomly allocated to a control or to one of intervention groups (conventional instruction or PAPM). Short-term and long-term results were assessed after 3 and 12 months. The study sample comprised 254 12-13 year olds whose plaque levels were assessed by two outcome measures, namely the Quantitative Plaque Percent Index and its derivative the Ratio of Plaque % Change. RESULTS: Subject retention rate was 69%. The most substantial decrease in plaque scores was in the PAPM group (12% after 3 months, 18% after 12 months), while the smallest reduction was in the control group (4% after 3 months and 12% after 12 months). There was a trend of reduction in plaque levels (p < 0.001) in all study groups from baseline to the 12 month follow-up. CONCLUSIONS: The intervention based on the Precaution Adoption Process Model was only slightly more effective in changing adolescent oral hygiene behaviour as compared to the conventional approach. The positive change in the control group was unexpected and needs further exploration.

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)0.004
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
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)0.0010.000

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 head0.033
GPT teacher head0.301
Teacher spread0.268 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicDental Health and Care UtilizationFrench-language works237,207