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Incidence and mortality provide information on the burden of cancer morbidity and the potential years of life lost due to cancer. The Spanish Deprivation Index (SDI) has been developed as a standardized measure to study socioeconomic deprivation in Spain at the census tract level. In addition, SDI information can be combined with ecological variables at the population level and data from the High-Resolution European Studies in Cancer. The aim of this study is to characterize socioeconomic inequalities in incidence, excess mortality, premature mortality and net survival for three of the most incident cancers (lung, colon-rectum and breast) in Spain using the SDI. This national population-based study will assess the impact of socioeconomic inequalities using a multilevel modelling approach. Spatial analysis, multilevel modeling, net survival and economic impact assessment will be used. The results will be useful for supporting decision-making, planning, and management of public health interventions aimed at reducing the impact of socioeconomic inequalities in the diagnosis and prognosis of cancer patients in Spain., (Copyright © 2020 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objective: To examine socioeconomic inequalities in health in the older population in Spain., Method: A systematic search and review of the literature published between 2000 and 2017 in English and Spanish was conducted in Social Science Citation Index, Sociology Database, Scopus, PubMed and Embase. Primary and secondary studies analysing these inequalities in Spain were included. Two researchers were responsible for the selection of the studies and the extraction of the information (first author, year of publication, region, design, population/sample, socioeconomic and health indicators used, and main results)., Results: A total of 89 articles were included, corresponding to 87 studies. Of the studies, 81.6% were cross-sectional, 88.5% included only non-institutionalised population and 35.6% were carried out at a national level. The studies analysed social inequalities in the following health indicators: functional status (n=29), morbidity (n=19), self-perceived health (n=18), mental and emotional health (n=10), cognitive status (n=7), quality of life (n=9), mortality (n=15) and life expectancy (n=2). Socioeconomic inequalities were detected in all of them, although the magnitude varied depending on the socioeconomic and health indicator used. The educational level and the ecological indexes were the indicators that detected more inequalities in health. The impact of inequalities by sex was different in functional status, morbidity, self-perceived health, mental and emotional health and mortality., Conclusion: There are socioeconomic inequalities in health among the elderly population and their magnitude varies by sex in some of the health indicators. The increase in educational level and the maintenance of sufficient pensions can be key policies that contribute to the reduction of inequalities in this population group., (Copyright © 2019 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objective: To analyse socioeconomic inequalities in all-cause mortality among men and women in nine European urban areas during the recent economic crisis, and to compare the results to those from two periods before the crisis., Method: This is an ecological study of trends based on three time periods (2000-2003, 2004-2008 and 2009-2014). The units of analysis were the small areas of nine European urban areas. We used a composite deprivation index as a socioeconomic indicator, along with other single indicators. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyse the evolution of socioeconomic inequalities, we fitted an ecological regression model that included the socioeconomic indicator, the period of time, and the interaction between these terms., Results: We observed significant inequalities in mortality among men for almost all the socioeconomic indicators, periods, and urban areas studied. However, no significant changes occurred during the period of the economic crisis. While inequalities among women were less common, there was a statistically significant increase in inequality during the crisis period in terms of unemployment and the deprivation index in Prague and Stockholm, respectively., Conclusions: Future analyses should also consider time-lag in the effect of crises on mortality and specific causes of death, and differential effects between genders., (Copyright © 2019 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)