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Record W2081754729 · doi:10.1016/j.gaceta.2013.02.004

Factores asociados a la consulta odontológica en niños/as y jóvenes de Talca (Chile) e inmigrantes chilenos de Montreal (Canadá)

2013· article· es· W2081754729 on OpenAlexaffabout
Loreto Núñez, Gloria Icaza, Violeta Contreras, Gloria Rosero de Correa, Tatiana Opazo, Gloria Mejía, Jacqueline Oxman‐Martinez, Jacques Moreau

Bibliographic record

VenueGaceta Sanitaria · 2013
Typearticle
Languagees
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Determinar los factores que influyen en la consulta al odontólogo de los/las niños/as de 4 a 7 años y los/las jóvenes de 10-13 años de edad residentes de la ciudad de Talca (Chile) y los/las niños/as y los/las jóvenes inmigrantes chilenos residentes en la ciudad de Montreal (Canadá). Estudio transversal no probabilístico, con 147 niños/as en Talca y 94 en Montreal. Entre 2009 y 2011 se midieron variables sociodemográficas, nivel de estudios, percepción de la salud de los/las hijos/as, sexo y edad de los/las niños/as, composición familiar y cercanía al centro de salud. Se hizo análisis exploratorio bivariado con test exacto de Fisher. Para buscar las variables asociadas a la consulta odontológica se utilizó la regresión de Cox robusta con tiempo constante con nivel de significación de 0,05. En Talca las variables asociadas a la consulta odontológica de dos o más veces al año fueron el nivel de estudios del/de la tutor/a y su percepción sobre la salud del/de la hijo/a, teniendo los/las niños/as con tutores/as con estudios universitarios 2,20 (intervalo de confianza del 95% [IC95%]: 1,30-3,73) veces más posibilidades de consultar al dentista y los/las tutores/as con percepción positiva consultan 53% menos al dentista (odds ratio: 0,47; IC95%: 0,28-0,77). En Montreal, los/las niños/as con tutores/as con estudios universitarios tenían 2,10 veces más posibilidades (IC95%: 1,17-3,76) de consultar al dentista y 2,11 veces más posibilidades de consultar si tenían entre 10 y 13 años de edad (IC95%: 1,15-3,88). El nivel de estudios del/de la tutor/a se asoció con las visitas al dentista en ambas muestras, siendo los/las niños/as con tutores/as de mayor nivel de estudios quienes más consultan. To identify the factors that influence the use of dental services in 4-7-year-olds and in 10-13-year-olds resident in the cities of Talca (Chile) and Montreal (Canada). A nonprobabilistic cross-sectional study was carried out in 147 boys and girls in Talca and in 94 boys and girls in Montreal between 2009 and 2011. Sociodemographic variables were recorded in parents and children, including age and sex. Data were also gathered on parental education, family composition, and proximity to health centers within neighborhoods. The data were analyzed with Fisher's exact test and the robust Cox regression model (with constant time) with a significance level of 0,05. In Talca, parental education was significantly associated with dental care visits at least twice a year. The children of parents with university education were 2.20 times more likely to consult a dentist (95% CI: 1.30-3.73). Children whose parents perceived their children's health positively were 53% (OR = 0,47; 95% CI: 0,28-0,77) less likely to consult a dentist. In Montreal, the children of parents with university education were 2.10 times more likely to consult a dentist (95%CI: 1.17-3.76), while older children (10-13 years) were 2.11 (95% CI: 1.15-3.88) times more likely to consult a dentist. In both cities, parental education level was associated with the use of dental services.

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)0.002
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 score0.116
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.266
Teacher spread0.260 · 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".

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Citations9
Published2013
Admission routes2
Has abstractyes

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