Fontes Kátia Biagio, Jacinto Alarcão Ana Carolina, Nihei Oscar Kenji, Pelloso Sandra Marisa, Andrade Luciano, Barros Carvalho Maria Dalva de
Health Science Center, State University of Maringa, Maringa, Brazil.
Department of Post Graduate in Public Health in Border Region and Department of Post Graduate in Studies in Society, Culture and Borders, State University of Western Paraná, Foz do Iguaçu, Brazil.
BMJ Open. 2018 Feb 20;8(2):e018437. doi: 10.1136/bmjopen-2017-018437.
Evaluate disparities in a Brazilian state by conducting an analysis to determine whether socioeconomic status was associated with the reported intimate partner sexual violence (IPSV) rates against women.
A retrospective, ecological study.
Data retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil.
All cases of IPSV (n=516) against women aged 15-49 years reported in the Notifiable Diseases Information System between 2009 and 2014.
The data were evaluated through an exploratory analysis of spatial data.
We identified a positive spatial self-correlation in the IPSV rate (0.7105, P≤0.001). Five high-high-type clusters were identified, predominantly in the Metropolitan, West, South Central, Southwest, Southeast and North Central mesoregions, with only one cluster identified in the North Pioneer mesoregion. Our findings also indicated that the associations between the IPSV rate and socioeconomic predictors (women with higher education, civil registry of legal separations, economically active women, demographic density and average female income) were significantly spatially non-stationary; thus, the regression coefficients verified that certain variables in the model were associated with the IPSV rate in some regions of the state. In addition, the geographically weighted regression (GWR) model improved the understanding of the associations between socioeconomic indicators and the IPSV notification rate, showing a better adjustment than the ordinary least square (OLS) model (OLS vs GWR model: R: 0.95 vs 0.99; Akaike information criterion: 4117.90 vs 3550.61; Moran's I: 0.0905 vs -0.0273, respectively).
IPSV against women was heterogeneous in the state of Paraná. The GWR model showed a better fit and enabled the analysis of the distribution of each indicator in the state, which demonstrated the utility of this model for the study of IPSV dynamics and the indication of local determinants of IPSV notification rates.
通过开展分析以确定社会经济地位是否与报告的针对女性的亲密伴侣性暴力（IPSV）发生率相关，从而评估巴西一个州内的差异情况。
一项回顾性生态研究。
从巴西卫生部法定传染病信息系统数据库中检索数据。
2009年至2014年期间法定传染病信息系统报告的所有针对15至49岁女性的IPSV病例（n = 516）。
通过对空间数据进行探索性分析来评估数据。
我们在IPSV发生率中确定了正空间自相关性（0.7105，P≤0.001）。识别出五个高高型聚类，主要位于大都市区、西部、中南部、西南部、东南部和中北部微区域，而在北先锋微区域仅识别出一个聚类。我们的研究结果还表明，IPSV发生率与社会经济预测因素（受过高等教育的女性、合法分居民事登记、经济活跃女性、人口密度和女性平均收入）之间的关联在空间上显著非平稳；因此，回归系数证实模型中的某些变量在该州的某些地区与IPSV发生率相关。此外，地理加权回归（GWR）模型增进了对社会经济指标与IPSV报告率之间关联的理解，显示出比普通最小二乘法（OLS）模型更好的拟合度（OLS模型与GWR模型对比：R分别为0.95和0.99；赤池信息准则分别为4117.90和3550.61；莫兰指数分别为0.0905和 - 0.0273）。
巴拉那州针对女性的IPSV情况存在异质性。GWR模型显示出更好的拟合度，并能够分析该州每个指标的分布情况，这证明了该模型在研究IPSV动态及指示IPSV报告率的局部决定因素方面的实用性。
