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Record W2515376454 · doi:10.1111/idh.12241

Mothers’ self‐efficacy and children's oral health

2016· article· en· W2515376454 on OpenAlexaff
MC Villanueva‐Vilchis, Jolanta Aleksejūnienė, Javier De La Fuente Hernández

Bibliographic record

VenueInternational Journal of Dental Hygiene · 2016
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineOral hygieneDentitionDeciduous teethCronbach's alphaDentistryTest (biology)Internal consistencyScale (ratio)DemographyClinical psychologyPsychometrics

Abstract

fetched live from OpenAlex

OBJECTIVES: To (i) test the validity of the Spanish Self-Efficacy Scale for Maternal Oral Care (SESMO), (ii) compare SESMO scores among socio-demographic groups and (iii) relate mothers' SESMO to children's dental status. METHODS: A limited census sample included 130 children and their mothers. The SESMO was applied through an interview, and the children's DMFT/dmft (number of decayed, missing and filled teeth) and OHI-S (oral hygiene score) were assessed through clinical examinations. To test the internal consistency and validity, the Spanish and English SESMO versions were compared. Dental status and oral hygiene were examined in different socio-demographic groups. RESULTS: Most of the families were from the middle socio-economic class, and the majority of children (65%) were ≤6 years of age. Cronbach's α was 0.82 for the English SESMO and 0.86 for the Spanish SESMO; both versions had a three-factor structure (one for each self-efficacy subscale). Overall, the factor loadings of the total and its subscale items were similar between the two SESMO versions. There was a correlation between the mothers' self-efficacy and the children's dental health status in deciduous dentition. CONCLUSIONS: The Spanish SESMO scale had similar internal consistency and validity as the previously validated English SESMO scale. Mothers' self-efficacy was associated with children's dental status in deciduous dentition but not with children's status in permanent dentition.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.520
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.014
GPT teacher head0.322
Teacher spread0.308 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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