Department of Dentistry, Universidade Federal de Sergipe - Aracaju (SE), Brazil.
Center for Postgraduate Studies in Administration, Universidade Federal da Bahia - Salvador (BA), Brazil.
Rev Bras Epidemiol. 2021 Apr 16;24(suppl 1):e210016. doi: 10.1590/1980-549720210016.supl.1. eCollection 2021.
This research analyzed a joint spatial distribution and explored the possible associations between epidemiological aspects and feminicide rates, in towns of the Sergipe State in Northeastern Brazil.
An exploratory ecological study investigated the global spatial autocorrelation of epidemiological aspects with femicide rates from towns in Sergipe State, Brazil, (n = 75), in the 2013-2017 period, using the "global" and "local" Moran statistic method and a multiple spatial regression. The exposure variables included socioeconomic and demographic conditions, services and health condition, and femicide rates. We used the software Stata 11.0, SPSS 18.0 and GeoDa 0.95-i.
The spatial distribution of femicide rates was not random and showed high spatial autocorrelation and predominance of significant spatial groupings of towns with the highest mortality rates due to femicide in the central region of Sergipe State. In the multiple regression analysis, the percentage of women in charge of families and the Municipal Human Development Index were positively associated with the femicide rates in towns in Sergipe's municipalities in the studied period (p < 0.05). The opposite situation occurred between the Income Concentration Index (GINI) and the femicide rates.
This is the first study that has analyzed the factors associated with the spatial clusters of femicide rates in a geographical space where there is a predominance of patriarchal culture. There was a femicide increase in locations with the lowest social inequality, the highest human development and authority exercised by women in the family environment.
本研究分析了空间联合分布,并探讨了巴西塞阿腊州城镇的流行病学特征与女性杀人率之间可能存在的关联。
本探索性生态研究调查了巴西塞阿腊州城镇的流行病学特征与女性杀人率之间的全球空间自相关关系(n = 75),时间跨度为 2013-2017 年,使用了“全局”和“局部”莫兰统计方法以及多元空间回归。暴露变量包括社会经济和人口状况、服务和健康状况以及女性杀人率。我们使用了 Stata 11.0、SPSS 18.0 和 GeoDa 0.95-i 软件。
女性杀人率的空间分布并非随机,显示出高空间自相关和高空间聚集的特点,表明在塞阿腊州中部地区的城镇中,女性杀人率最高。在多元回归分析中,负责家庭的女性比例和市级人类发展指数与研究期间塞阿腊州各城镇的女性杀人率呈正相关(p < 0.05)。而收入集中指数(GINI)与女性杀人率呈负相关。
这是第一项在以父权制文化为主导的地理空间中分析与女性杀人率空间聚类相关因素的研究。在社会不平等程度最低、人类发展程度最高以及家庭环境中女性权力最大的地区,女性杀人率呈上升趋势。