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1.
J Oral Rehabil ; 46(1): 65-75, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30252966

ABSTRACT

OBJECTIVES: To evaluate whether the presence of non-carious cervical lesions (NCCLs) was related to the considered risk factors and to show the corresponding odds ratio in a predictive model. METHODS: The sample was 280 dentistry students. In an initial clinical examination, 140 cases were selected that presented one or more teeth with non-carious cervical wear. For each case, a similar sex and age control without any tooth with non-carious cervical lesions was selected. An occlusal examination and periodontal probing were performed in all cases and controls by skilled dentists. All the subjects answered a questionnaire referring to factors of brushing, bruxism, preferred chewing side, consumption of extrinsic acids and the presence of intrinsic acids. Data were analysed by means of univariate and multivariate logistic regression. RESULTS: Of all the study variables, only the protrusion interferences, interferences on the non-working side, the brushing force, CPITN value and the consumption of salads increase the risk of NCCLs in the univariate regression. The best predictive model was formed by the combination of CPITN variables >1, the consumption of acidic salads, self-reported bruxism, brushing force and attrition. However, it only correctly classifies 68.75% of subjects. CONCLUSIONS: This study supports the multifactorial aetiology of NCCLs, the combination of several factors being necessary to explain their presence. The risk factors that make up the predictive model are not sufficient to explain the appearance of NCCLs. Dentists should take into account all these risk factors in prevention, diagnosis and treatment.


Subject(s)
Dentin Sensitivity/pathology , Tooth Cervix/pathology , Tooth Wear/pathology , Toothbrushing/statistics & numerical data , Acetic Acid/adverse effects , Adult , Case-Control Studies , Female , Humans , Male , Odds Ratio , Risk Factors , Tooth Wear/etiology , Toothbrushing/adverse effects , Young Adult
2.
Prog. obstet. ginecol. (Ed. impr.) ; 57(3): 109-116, mar. 2014.
Article in Spanish | IBECS | ID: ibc-120954

ABSTRACT

Objetivo. Obtener y evaluar los datos de la asistencia perinatal en Galicia. Material y métodos. Estudio descriptivo, retrospectivo y multicéntrico. Se solicitó la colaboración de todos los centros sanitarios gallegos con asistencia al parto para la realización de la base de datos perinatales de los años 2010 y 2011. Resultados. Realizamos el estudio estadístico epidemiológico de 29.254 nacimientos acontecidos en nuestra comunidad en el bienio 2010-2011, lo cual representa el 67,2% del total de nacimientos de Galicia en ese periodo. Analizamos las siguientes variables: edad materna, estática fetal, amenorrea en el momento del parto, tipo de parto, indicaciones de cesáreas, y mortalidad perinatal y materna (AU)


Objective. To obtain and evaluate information on perinatal care in Galicia (Spain). Material and methods. We performed a descriptive, retrospective, multicenter study. All centers in Galicia involved in deliveries were requested to collaborate in the perinatal database for 2010 and 2011. Results. We performed a statistical, epidemiological study of 29,254 births in our region in the 2-year period from 2010 to 2011, representing 67.2% of all births in Galicia in this period. The following variables were analyzed: maternal age, fetal statics, amenorrhea at delivery, type of delivery, indications for cesarean section, and perinatal and maternal mortality (AU)


Subject(s)
Humans , Female , Perinatal Care/organization & administration , Perinatal Care/statistics & numerical data , Perinatal Mortality/trends , Societies, Medical/organization & administration , Societies, Medical/statistics & numerical data , Maternal Age , Maternal Mortality/trends , Retrospective Studies , Amenorrhea/epidemiology , Amenorrhea/prevention & control , Cesarean Section/methods , Cesarean Section/statistics & numerical data , Delivery, Obstetric/methods , Delivery, Obstetric/statistics & numerical data
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