title: Pattern and predictors of interpersonal violence among adolescent female students in Egypt.
abstract: Violence among female adolescents is a major public health problem. The objective of this study is to detect the pattern and predicting factors of interpersonal violence among adolescent female students in a nursing high school in Cairo. A cross-sectional study was conducted during the academic year 2011-2012 and included a total of 220 students using a self-administered questionnaire. Physical violence exposure at home, school and community among studied adolescents were 65.5, 30.4 and 25.9% respectively. Verbal violence was found in 55, 69 and 60% at home, school and community respectively. Finally 5 and 41.3% of studied students were exposed to sexual violence at home and community respectively. The highest violence exposure score was at school from teachers while the highest score of being violent was mainly towards the community. Multivariate regression analysis for violence scores revealed that younger students, students from urban residence and higher crowding index were significant predictors for total violence exposure and being violent scores. Prevention programmes should be given for all students especially high risk ones (young age, urban residence and high crowdness index families) and their families to address and overcome this problem.
authors.affiliation: Department of Public Health, Faculty of Medicine, Cairo University, Cairo, Egypt.
authors.forename: Mouchira
authors.initials: M
authors.lastname: Zayed
authors.forename: Dalia
authors.initials: D
authors.lastname: Ahmed
authors.forename: Eman Fawzy
authors.initials: EF
authors.lastname: Halawa
mesh_terms: D000293:Adolescent; D002649:Child Abuse / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D004534:Egypt; D005260:Female; D005544:Forecasting; D006801:Humans; D007398:Interpersonal Relations; D015999:Multivariate Analysis; D012307:Risk Factors; D012574:Schools; D011795:Surveys and Questionnaires; D014754:Violence / Q000706:statistics & numerical data*