Factores asociados a la consulta odontológica en niños/as y jóvenes de Talca (Chile) e inmigrantes chilenos de Montreal (Canadá)
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it