The prevalence of oral-maxillofacial trauma was high, and the main associated factors were place of residence and mechanism of aggression.

Objective:To describe the profile of patients with facial trauma admitted in a hospital located in a metropolitan area of Northeast Brazil. Methods:A cross-sectional and exploratory study was performed. A total of 244 cases were in agreement with the eligibility criteria. The variables include the sociodemographic characteristics of patients, etiology, type of trauma, treatment modalities, length of stay in a hospital and quarter of care. Descriptive statistics and Cluster Analysis were performed. Results:The average age of patients was 31.16 years (SD = 15.17 years) and average hospitalization was 6.32 days (SD = 7.75 days). It was verified the automatic formation of four clusters with different profiles of patients. The variables which most contributed to the external differentiation between clusters were: length of stay in a hospital (p <0.001), etiology (p <0.001), type of facial trauma (p <0.001), presence of associated trauma (p <0.001), treatment modalities (p <0.001) and quarter of care (p <0.001). Conclusion:The most of patients were men, victims of traffic accidents, which suffered fracture of zygomatic complex and underwent surgery. Level of Evidence III, Retrospective Study.

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Aim:This study aimed to evaluate the scientific evidence regarding the risk factors for maxillofacial injuries among victims of traffic accidents. Method:A systematic review of articles published until February 2017 was carried out in the following databases: PubMed, Web of Science, Scopus, and Cochrane Library. Studies were selected by two independent reviewers ( = 0.841). The risk of bias in the selected studies was assessed using an adapted version of the Newcastle-Ottawa Scale for observational studies. Results: A total of 2703 records were found, of which only three articles fulfilled the inclusion criteria and were analyzed, including 422 244 patients. The male/female ratio ranged from 3.4: 1 to 6: 1. All eligible studies performed the multivariate statistical analysis. Eleven risk factors for maxillofacial traumas were identified: victim's gender (P < 0.05), age group (P < 0.05), residence region (P < 0.05), impact characteristics (P < 0.05), increased net change in velocity due to collision (P < 0.05), increase in occupant's height (P < 0.05), nonuse of protective equipment (P < 0.05), type of accident (P < 0.05), time of occurrence (P < 0.05), lesion severity (P < 0.05), and occurrence of concomitant lesions (P < 0.05). Conclusion:The results suggest that sociodemographic characteristics, as well as those related to the collision patterns and circumstances of traffic accidents, may influence the occurrence of maxillofacial injuries. However, the results should be interpreted with caution due to the high heterogeneity among studies.

The occurrence of facial trauma in terrestrial transport accident victims tends to affect a greater proportion of young and male subjects, and the most prevalent accidents involve motorcycles.

Abstract

ABSTRACT:Objective: The aim of this study was to describe the profile of violence against women in different life cycles, according to the sociodemographic characteristics of the victims and offenders. Methods: A crosssectional and exploratory study was performed based on 1,388 police reports during a four-year period, in a metropolitan area of Northeast Brazil. The dependent variable was the type of aggression suffered by the victims. The independent variables were sociodemographic characteristics of the victims and offenders. Statistical analysis included the χ 2 test (p < 0.05) and the decision tree analysis, through the Chi-squared Automatic Interaction Detector (CHAID) algorithm. Results: Cases of physical abuse (n = 644) were the most common, followed by threat (n = 415) and verbal aggression (n = 285). The violence profiles could be explained by the relationship between victims and offenders (p < 0.001) and age of the victims (p = 0.026 in Node 1; p = 0.019 in Node 3). Conclusion: It was observed that women in different stages of life are more exposed to different types of violence.

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