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Gender inequality and violence against women in Spain, 2006-2014: towards a civilized society

Overview of attention for article published in Gaceta Sanitaria, October 2016
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Title
Gender inequality and violence against women in Spain, 2006-2014: towards a civilized society
Published in
Gaceta Sanitaria, October 2016
DOI 10.1016/j.gaceta.2016.07.025
Pubmed ID
Authors

Erika M. Redding, María Teresa Ruiz-Cantero, José Fernández-Sáez, Marta Guijarro-Garvi

Abstract

Considering both the economic crisis of 2008 and the Gender Equality Law (2007), this study analyses the association between gender inequality in Spanish Autonomous Communities (AC) and intimate partner violence (IPV) from 2006 to 2014 in terms of socio-demographic characteristics. Ecological study in the 17 Spanish AC on the correlation between the reported cases by IPV and deaths and the Gender Inequality Index and its dimensions: empowerment, participation in the labour market and adolescent birth rates; and their correlation with Young People Not in Education, Employment or Training (NEET). In 2006, IPV mortality rates were higher in autonomous communities with greater gender inequality than AC with more equality (4.1 vs. 2.5×10(6) women >14 years), as were reporting rates of IPV (OR=1.49; 95% CI: 1.47-1.50). In 2014, the IPV mortality rates in AC with greater gender inequality fell to just below the mortality rates in AC with more gender equality (2.5 vs. 2.7×10(6) women >14 years). Rates of IPV reports also decreased (OR=1.22; 95% CI: 1.20-1.23). Adolescent birth rates were most associated with IPV reports, which were also associated with the burden of NEET by AC (ρ2006=0.494, ρ2014=0.615). Gender-sensitive policies may serve as a platform for reduced mortality and reports of IPV in Spain, particularly in AC with more gender inequality. A reduction of NEET may reduce adolescent birth rates and in turn IPV rates.

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Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 34 19%
Student > Master 19 11%
Student > Ph. D. Student 10 6%
Researcher 9 5%
Lecturer 9 5%
Other 39 22%
Unknown 55 31%
Readers by discipline Count As %
Nursing and Health Professions 28 16%
Psychology 22 13%
Medicine and Dentistry 17 10%
Social Sciences 16 9%
Arts and Humanities 6 3%
Other 26 15%
Unknown 60 34%