4 resultados para cross likelihood ratio

em Universidad de Alicante


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Objectives: To analyze whether sociodemographics and social support have a different or similar effect on the likelihood of Intimate Partner Violence in immigrants and natives, and to estimate prevalences and associations between different types of IPV depending on women's birthplace. Methods: Cross-sectional study of 10,048 women (18–70 years) attending primary healthcare in Spain (2006–2007). Outcome: Current Intimate Partner Violence (psychological, physical and both). Sociodemographics and social support were considered first as explicative and later as control variables. Results: Similar Intimate Partner Violence sociodemographic and social support factors were observed among immigrants and natives. However, these associations were stronger among immigrants, except in the case of poor social support (adjusted odds ratio natives 4.36 and adjusted odds ratio immigrants 4.09). When these two groups were compared, immigrants showed a higher likelihood of IPV than natives (adjusted odds ratios 1.58). Conclusion: Immigrant women are in a disadvantaged Intimate Partner Violence situation. It is necessary that interventions take these inequalities into account.

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Objetivo: Comparar la prevalencia de la violencia de género entre mujeres inmigrantes y españolas. Describir sus respuestas ante esta situación y posibles diferencias entre ellas. Identificar intervenciones ya existentes en España sobre prevención y atención sociosanitaria de violencia de género dirigidas a inmigrantes. Métodos: Estudio transversal mediante encuesta autoadministrada en 10.202 mujeres que acudieron a centros de atención primaria en España (2006-2007). Análisis de contenido del informe de seguimiento de la ley 1/2004 de medidas de protección integral contra la violencia de género remitido por las comunidades autónomas (CC.AA.) (2005) y las leyes y planes autonómicos más recientes. Resultados: La prevalencia de violencia de género en las españolas es del 14,3% y en las inmigrantes del 27,3%. La probabilidad de violencia de género en las inmigrantes es mayor (odds ratio ajustada: 2,06; intervalo de confianza del 95%: 1,61–2,64). Las inmigrantes dijeron haber denunciado a su pareja con más frecuencia, así como que no sabían resolver su situación. Algunas CC.AA. ya han emprendido intervenciones para superar las barreras de acceso a los servicios sociosanitarios, pero sólo tres facilitan el número de mujeres inmigrantes beneficiarias de ayudas económicas y laborales hasta 2005. Conclusiones: Existe una desigual distribución en la prevalencia de la violencia de género según el país de origen, afectando en mayor medida a las mujeres inmigrantes. Éstas denuncian con más frecuencia que las españolas, pero tal actuación no supone una garantía de resultados efectivos. Aunque se han identificado otras intervenciones específicas en algunas CC.AA., sería necesario evaluarlas para asegurar que las mujeres inmigrantes se están beneficiando.

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Objectives: To analyse the association between self-perceived discrimination and social determinants (social class, gender, country of origin) in Spain, and further to describe contextual factors which contribute to self-perceived discrimination. Methods: Cross-sectional design using data from the Spanish National Health Survey (2006). The dependent variable was self-perceived discrimination, and independent and stratifying variables were sociodemographic characteristics (e.g. sex, social class, country of origin, educational level). Logistic regression was used. Results: The prevalence of self-perceived discrimination was 4.2% for men and 6.3% for women. The likelihood of self-perceived discrimination was higher in people who originated from low-income countries: men, odds ratio (OR) 5.59 [95% confidence interval (CI) 4.55–6.87]; women, OR 4.06 (95% CI 3.42–4.83). Women were more likely to report self-perceived discrimination by their partner at home than men [OR 8.35 (95% CI 4.70–14.84)]. The likelihood of self-perceived discrimination when seeking work was higher among people who originated from low-income countries than their Spanish counterparts: men, OR 13.65 (95% CI 9.62–19.35); women, OR 10.64 (95% CI 8.31–13.62). In comparison with Spaniards, male white-collar workers who originated from low-income countries [OR 11.93 (95% CI 8.26–17.23)] and female blue-collar workers who originated from low-income countries (OR 1.6 (95% CI 1.08–2.39)] reported higher levels of self-perceived discrimination. Conclusions: Self-perceived discrimination is distributed unevenly in Spain and interacts with social inequalities. This particularly affects women and immigrants.

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Background: Intimate partner violence (IPV) against women is a complex worldwide public health problem. There is scarce research on the independent effect on IPV exerted by structural factors such as labour and economic policies, economic inequalities and gender inequality. Objective: To analyse the association, in Spain, between contextual variables of regional unemployment and income inequality and individual women’s likelihood of IPV, independently of the women’s characteristics. Method: We conducted multilevel logistic regression to analyse cross-sectional data from the 2011 Spanish Macrosurvey of Gender-based Violence which included 7898 adult women. The first level of analyses was the individual women’ characteristics and the second level was the region of residence. Results: Of the survey participants, 12.2% reported lifetime IPV. The region of residence accounted for 3.5% of the total variability in IPV prevalence. We determined a direct association between regional male long-term unemployment and IPV likelihood (P = 0.007) and between the Gini Index for the regional income inequality and IPV likelihood (P < 0.001). Women residing in a region with higher gender-based income discrimination are at a lower likelihood of IPV than those residing in a region with low gender-based income discrimination (odds ratio = 0.64, 95% confidence intervals: 0.55–0.75). Conclusions: Growing regional unemployment rates and income inequalities increase women’s likelihood of IPV. In times of economic downturn, like the current one in Spain, this association may translate into an increase in women’s vulnerability to IPV.