Cranio : the journal of craniomandibular practice · 2016
Association between possible sleep bruxism and sleep characteristics in children.
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.
Serra-Negra Júnia Maria, Ribeiro Mariana Batista, Prado Ivana Meyer, Paiva Saul Martins, Pordeus Isabela Almeida
Аннотация
AIMS: To evaluate the relationship between possible sleep bruxism and sleep characteristics in children.
METHODOLOGY: A cross-sectional study was conducted through data collection of a pre-tested questionnaire answered by 111 parents on behalf of their children in the waiting room during their appointment at the Pediatric Dentistry Clinic of a public Brazilian university. The diagnosis of possible sleep bruxism was based on the international classification of sleep disorders (ICSD) criteria. The Chi-square test and logistic multinomial regression test were used in the statistical analysis.
RESULTS: The final model of logistic multinomial regression demonstrated that children with muscle pain in the mouth region (OR = 19.70 95% IC = 1.82-212.69), snoring (OR = 8.25 95% IC = 2, 56-26, 54), and those with parents with possible sleep bruxism have more of a probability of sleep bruxism.
CONCLUSION: Potential sleep bruxism tends to be hereditary. Muscle pain, snoring, and mouth breathing were important signals associated with possible sleep bruxism among children.
METHODOLOGY: A cross-sectional study was conducted through data collection of a pre-tested questionnaire answered by 111 parents on behalf of their children in the waiting room during their appointment at the Pediatric Dentistry Clinic of a public Brazilian university. The diagnosis of possible sleep bruxism was based on the international classification of sleep disorders (ICSD) criteria. The Chi-square test and logistic multinomial regression test were used in the statistical analysis.
RESULTS: The final model of logistic multinomial regression demonstrated that children with muscle pain in the mouth region (OR = 19.70 95% IC = 1.82-212.69), snoring (OR = 8.25 95% IC = 2, 56-26, 54), and those with parents with possible sleep bruxism have more of a probability of sleep bruxism.
CONCLUSION: Potential sleep bruxism tends to be hereditary. Muscle pain, snoring, and mouth breathing were important signals associated with possible sleep bruxism among children.