Bioengineering (Basel, Switzerland) · 2026
Risk Factors Associated with Dentofacial Anomalies [Including Malocclusion] in Adults.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sanchez-Hernandez Osvaldo Erik, Lopez-Hernandez Daniel, Brito-Aranda Leticia, Izquierdo-Vega Aleli Julieta, Beltran-Lagunes Luis, Fuentes-Torres Gabriela Patricia, Salinas-Palacios Perla Veronica, Ortega-Lopez Julio Cesar, Lopez-Sanchez Maria de Los Angeles, Torres-Garcia Edgar Estaban, Flores-Morales Guadalupe Jacqueline, Anguiano-Velazquez Tabata Gabriela
Аннотация
Background: Dentofacial anomalies, including malocclusion, emerge from the interplay of genetic, clinical, and environmental determinants. Understanding the factors associated with these anomalies is crucial at the primary care level. Our study aimed to determine the possible associated factors with dentofacial anomalies in patients attended at the primary care level. Methods: A multivariate logistic regression model was applied to a primary care population, with the presence of dentofacial anomalies as the dependent variable. Independent variables included age and selected clinical conditions of dental and neurological origin. Results: Age was inversely associated with dentofacial anomalies (OR = 0.991; 95% CI 0.985-0.998; p = 0.013). Significant clinical factors included vertigo (OR = 2.59; 95% CI 1.42-4.71; p = 0.002), hearing loss (OR = 4.34; 95% CI 2.44-7.72; p < 0.001), trigeminal neuralgia (OR = 8.54; 95% CI 3.22-22.67; p < 0.001), Bell's palsy (OR = 9.19; 95% CI 4.01-21.04; p < 0.001), caries limited to enamel (OR = 17.92; 95% CI 12.99-24.71; p < 0.001), and acute gingivitis (OR = 10.64; 95% CI 5.61-20.20; p < 0.001). Conclusions: Both oral and neurological conditions showed strong associations with dentofacial anomalies. The model identified key factors that may facilitate early detection and guide the development of targeted preventive strategies in oral health practice and policy, supporting the integration of multidisciplinary approaches to patient care.