755 resultados para Social inequalities in health
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PURPOSE: We sought to analyze whether the sociodemographic profile of battered women varies according to the level of severity of intimate partner violence (IPV), and to identify possible associations between IPV and different health problems taking into account the severity of these acts. METHODS: A cross-sectional study of 8,974 women (18-70 years) attending primary healthcare centers in Spain (2006-2007) was performed. A compound index was calculated based on frequency, types (physical, psychological, or both), and duration of IPV. Descriptive and multivariate procedures using logistic regression models were fitted. RESULTS: Women affected by low severity IPV and those affected by high severity IPV were found to have a similar sociodemographic profile. However, divorced women (odds ratio [OR], 8.1; 95% confidence interval [CI], 3.2-20.3), those without tangible support (OR, 6.6; 95% CI, 3.3-13.2), and retired women (OR, 2.7; 95% CI, 1.2-6.0) were more likely to report high severity IPV. Women experiencing high severity IPV were also more likely to suffer from poor health than were those who experienced low severity IPV. CONCLUSIONS: The distribution of low and high severity IPV seems to be influenced by the social characteristics of the women involved and may be an important indicator for estimating health effects. This evidence may contribute to the design of more effective interventions.
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Background: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. Methods: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. Results: In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. Conclusion: This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment.
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Background: The relationship between deprivation and mortality in urban settings is well established. This relationship has been found for several causes of death in Spanish cities in independent analyses (the MEDEA project). However, no joint analysis which pools the strength of this relationship across several cities has ever been undertaken. Such an analysis would determine, if appropriate, a joint relationship by linking the associations found. Methods: A pooled cross-sectional analysis of the data from the MEDEA project has been carried out for each of the causes of death studied. Specifically, a meta-analysis has been carried out to pool the relative risks in eleven Spanish cities. Different deprivation-mortality relationships across the cities are considered in the analysis (fixed and random effects models). The size of the cities is also considered as a possible factor explaining differences between cities. Results: Twenty studies have been carried out for different combinations of sex and causes of death. For nine of them (men: prostate cancer, diabetes, mental illnesses, Alzheimer’s disease, cerebrovascular disease; women: diabetes, mental illnesses, respiratory diseases, cirrhosis) no differences were found between cities in the effect of deprivation on mortality; in four cases (men: respiratory diseases, all causes of mortality; women: breast cancer, Alzheimer’s disease) differences not associated with the size of the city have been determined; in two cases (men: cirrhosis; women: lung cancer) differences strictly linked to the size of the city have been determined, and in five cases (men: lung cancer, ischaemic heart disease; women: ischaemic heart disease, cerebrovascular diseases, all causes of mortality) both kinds of differences have been found. Except for lung cancer in women, every significant relationship between deprivation and mortality goes in the same direction: deprivation increases mortality. Variability in the relative risks across cities was found for general mortality for both sexes. Conclusions: This study provides a general overview of the relationship between deprivation and mortality for a sample of large Spanish cities combined. This joint study allows the exploration of and, if appropriate, the quantification of the variability in that relationship for the set of cities considered.
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We develop a dynamic general-equilibrium framework in which growth is driven by skill-biased technology diffusion. The model incorporates leisure–labor decisions and human capital accumulation through education. We are able to reproduce the trends in income inequality and labor and skills supplies observed in the United States between 1969 and 1996. The paper also provides an explanation for why more individuals invest in human capital when the investment premium is going down, and why the skill-premium goes up when the skills supply is increasing.
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The aim of this study was to analyze the evolution of socioeconomic inequalities in mortality due to ischemic heart diseases (IHD) in the census tracts of nine Spanish cities between the periods 1996–2001 and 2002–2007. Among women, there are socioeconomic inequalities in IHD mortality in the first period which tended to remain stable or even increase in the second period in most of the cities. Among men, in general, no socioeconomic inequalities have been detected for this cause in either of the periods. These results highlight the importance of intra-urban inequalities in mortality due to IHD and their evolution over time.
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In the last few years, Europe has been forced to re-think its socio-economic model. Social indicators speak for themselves. Real household income declined significantly between 2008 and 2012, employment rates are lower and the number of people in poverty saw a steady rise with a growing divergence between EU countries. In the eurozone, cuts in public spending and internal devaluation have been the main tools to aim at a correction of unsustainable fiscal positions and a strengthening of competitiveness. It has carried a heavy social price tag. Outside of the eurozone, austerity has also been the prevailing policy, seen as inevitable to avoid economic instability. The crisis has not hit everyone equally. The general losses have been high, but there have also been some quite important redistributive effects. With all the difficulties of defining and measuring 'fairness', it is clear that the adjustment has not been equitable. Apart from issues of market failure, there have been direct increases of inequality within each of the member states. Higher poverty rates have been observed, rises in inequalities between higher and lower income earners as well as intergenerational inequalities between age groups. Long-term consequences are only beginning to surface in the public debate as the most immediate pressures of the crisis are slowly overcome. In this report, the authors first of all look at the results of the survey we have carried out in seven European countries and review perceptions of the socio-economic model. Subsequently, they assess the importance of the social dimension in the broader context of the European growth model. The authors discuss the impact of the structural challenges of globalisation, demography and technological change. They then review the EU’s performance in the crisis. Finally, the authors make a number of recommendations on how to bridge the gap between Europeans‘ expectations and reality.
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Supt. of Docs. no. : GA 1.13:HRD-77-131
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Mode of access: Internet.
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Cover-title.
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"SRS 76-05704."
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"Findings issued in three volumes which report on nine principal fields of investigation"
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Mode of access: Internet.
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Public schools [by] Franklin Zeiger and Z.L. Potter.--Public health [by] Franz Schneider, jr.--Housing [by] Amy Woods.--Delinquency [by] Z.L. Potter.--Public library [by] F.W. Jenkins.--Recreation [by] Z.L. Potter.--Charities [by] Margaret F. Byington.--Industrial conditions [by] E.F. Brown and Z.L. Potter.--Municipal administration [by] D.O. Decker.
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"SSA Publication No. 13-11712"--P. of cover.
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Background. The positive health and wellbeing effects of social support have been consistently demonstrated in the literature since the late 1970s. However, a better understanding of the effects of age and sex is required. Method. We examined the factor structure and reliability of Kessler's Perceived Social Support (KPSS) measure in a community-based sample that comprised younger and older adult cohorts from the Australian Twin Registry (ATR), totalling 11,389 males and females aged 18-95, of whom 887 were retested 25 months later. Results. Factor analysis consistently identified seven factors: support from spouse, twin, children, parents, relatives, friends and helping support. Internal reliability for the seven dimensions ranged from 0.87 to 0.71 and test-retest reliability ranged from 0.75 to 0.48. Perceived support was only marginally higher in females. Age dependencies were explored. Across the age range, there was a slight decline (more marked in females) in the perceived support from spouse, parent and friend, a slight increase in perceived relative and helping support for males but none for females, a substantial increase in the perceived support from children for males and females and a negligible decline in total KPSS for females against a negligible increase for males. The perceived support from twin remained constant. Females were more likely to have a confidant, although this declined with age whilst increasing with age for males. Conclusions. Total scores for perceived social support conflate heterogeneous patterns on sub-scales that differ markedly by age and sex. Our paper describes these relationships in detail in a very large Australian sample.