Epidemiology Department, Institute of Social Medicine (IMS), Rio de Janeiro State University (UERJ), Rio de Janeiro, Brazil.
Paediatr Perinat Epidemiol. 2011 Sep;25(5):478-86. doi: 10.1111/j.1365-3016.2011.01208.x. Epub 2011 Jun 20.
This article offers a simple predictive model of physical intimate partner violence (PIPV) to be used by primary health care (PHC) professionals. The sample comprised 811 mothers of children <5 months old attending PHC facilities in Rio de Janeiro, Brazil. A multinomial logit model was used. Measured by the Revised Conflict Tactics Scales, PIPV was classified in three levels (absence, at least one episode during pregnancy or postpartum, and presence in both periods). Socio-economic, demographic and life style variables were considered as potential predictors. Maternal age <20 years, an education of <8 years of schooling, raising >2 children under 5, tobacco smoking, alcohol misuse and illicit drug use by the mother and/or partner, and perception of baby's ill-health were identified as predictors of PIPV. The model-projected prevalence of PIPV for pregnancy and/or postpartum was just 10.1% in the absence of these characteristics, whereas this increased to 96.4% when all the seven characteristics were present. Child, maternal and family characteristics greatly increase the likelihood of PIPV and could be used together as screening indicators.
本文为初级卫生保健(PHC)专业人员提供了一个简单的身体亲密伴侣暴力(PIPV)预测模型。该样本包括 811 名在巴西里约热内卢的 PHC 设施中照顾 5 个月以下儿童的母亲。使用了多项逻辑回归模型。根据修订后的冲突策略量表测量,PIPV 分为三个等级(不存在、怀孕期间或产后至少发生一次、两个时期都存在)。考虑了社会经济、人口统计学和生活方式变量作为潜在预测因素。母亲年龄<20 岁、受教育年限<8 年、抚养>2 名 5 岁以下儿童、母亲和/或伴侣吸烟、酗酒和滥用非法药物以及认为婴儿健康状况不佳被确定为 PIPV 的预测因素。在没有这些特征的情况下,该模型预测怀孕期间或产后 PIPV 的患病率仅为 10.1%,而当存在所有七个特征时,这一比例上升至 96.4%。儿童、母亲和家庭特征大大增加了发生 PIPV 的可能性,可以一起用作筛查指标。