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Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study

OBJECTIVE: 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. DESIGN: A retrospective, ecological study. SETTINGS: Data retrieved from the Notifiab...

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Autores principales: Fontes, Kátia Biagio, Jacinto Alarcão, Ana Carolina, Nihei, Oscar Kenji, Pelloso, Sandra Marisa, Andrade, Luciano, de Barros Carvalho, Maria Dalva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855347/
https://www.ncbi.nlm.nih.gov/pubmed/29463587
http://dx.doi.org/10.1136/bmjopen-2017-018437
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author Fontes, Kátia Biagio
Jacinto Alarcão, Ana Carolina
Nihei, Oscar Kenji
Pelloso, Sandra Marisa
Andrade, Luciano
de Barros Carvalho, Maria Dalva
author_facet Fontes, Kátia Biagio
Jacinto Alarcão, Ana Carolina
Nihei, Oscar Kenji
Pelloso, Sandra Marisa
Andrade, Luciano
de Barros Carvalho, Maria Dalva
author_sort Fontes, Kátia Biagio
collection PubMed
description OBJECTIVE: 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. DESIGN: A retrospective, ecological study. SETTINGS: Data retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil. PARTICIPANTS: All cases of IPSV (n=516) against women aged 15–49 years reported in the Notifiable Diseases Information System between 2009 and 2014. OUTCOME MEASURES: The data were evaluated through an exploratory analysis of spatial data. RESULTS: 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(2): 0.95 vs 0.99; Akaike information criterion: 4117.90 vs 3550.61; Moran’s I: 0.0905 vs −0.0273, respectively). CONCLUSIONS: 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.
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spelling pubmed-58553472018-03-19 Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study Fontes, Kátia Biagio Jacinto Alarcão, Ana Carolina Nihei, Oscar Kenji Pelloso, Sandra Marisa Andrade, Luciano de Barros Carvalho, Maria Dalva BMJ Open Epidemiology OBJECTIVE: 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. DESIGN: A retrospective, ecological study. SETTINGS: Data retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil. PARTICIPANTS: All cases of IPSV (n=516) against women aged 15–49 years reported in the Notifiable Diseases Information System between 2009 and 2014. OUTCOME MEASURES: The data were evaluated through an exploratory analysis of spatial data. RESULTS: 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(2): 0.95 vs 0.99; Akaike information criterion: 4117.90 vs 3550.61; Moran’s I: 0.0905 vs −0.0273, respectively). CONCLUSIONS: 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. BMJ Publishing Group 2018-02-20 /pmc/articles/PMC5855347/ /pubmed/29463587 http://dx.doi.org/10.1136/bmjopen-2017-018437 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Epidemiology
Fontes, Kátia Biagio
Jacinto Alarcão, Ana Carolina
Nihei, Oscar Kenji
Pelloso, Sandra Marisa
Andrade, Luciano
de Barros Carvalho, Maria Dalva
Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title_full Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title_fullStr Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title_full_unstemmed Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title_short Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study
title_sort regional disparities in the intimate partner sexual violence rate against women in paraná state, brazil, 2009-2014: an ecological study
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855347/
https://www.ncbi.nlm.nih.gov/pubmed/29463587
http://dx.doi.org/10.1136/bmjopen-2017-018437
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