Abstract
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.
| Translated title of the contribution | Effect of the recent economic crisis on socioeconomic inequalities in mortality in nine urban areas in Europe |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 253-260 |
| Number of pages | 8 |
| Journal | Gaceta Sanitaria |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 May 2020 |
Bibliographical note
Funding Information:This study is a part of the EURO-HEALTHY project (Shaping EUROpean policies to promote HEALTH equity) and has received funding from the European Union's Horizon 2020 research and innovation programme (Grant Agreement No 643398). Dagmar Dzúrová and Michala Lustigova were also supported by Charles University (UNCE/HUM 018).
Funding Information:
Cláudia Costa was supported by an Individual Doctoral Fellowship funded by the Foundation for Science and Technology, FCT (SFRH/BD/132218/2017).
Publisher Copyright:
© 2019 SESPAS
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