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Socio-economic inequalities on cancer mortality in nine European areas: The effect of the last economic recession
L. Palència, J. Ferrando, M. Marí-Dell'Olmo, M. Gotsens, J. Morrison, D. Dzurova, M. Lustigova, C. Costa, M. Rodríguez-Sanz, L. Bosakova, P. Santana, C. Borrell
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, multicentrická studie, práce podpořená grantem
Nursing & Allied Health Database (ProQuest) od 2009-07-01 do Před 2 měsíci
Health & Medicine (ProQuest) od 2009-07-01 do Před 2 měsíci
Health Management Database (ProQuest) od 2009-07-01 do Před 2 měsíci
Public Health Database (ProQuest) od 2009-07-01 do Před 2 měsíci
Odkazy
PubMed
33038640
DOI
10.1016/j.canep.2020.101827
Knihovny.cz E-zdroje
- MeSH
- dospělí MeSH
- ekonomická recese MeSH
- lidé středního věku MeSH
- lidé MeSH
- mortalita trendy MeSH
- nádory ekonomika mortalita MeSH
- socioekonomické faktory * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
BACKGROUND: The effect of inequalities aggravated by economic recessions in the mortality rates of certain diseases has been previously described. In this study, we analyzed the relationship between socio-economic deprivation and cancer mortality. We focused on lung, colon, prostate, and breast cancers in nine European urban areas over three periods: two before (2000-2003 and 2004-2008) and one after (2009-2014) the onset of the 2008 financial crisis. METHODS: This is an ecological study of trends. The units of analysis were small areas within nine European urban areas. We used a composite deprivation index as a socio-economic indicator. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyze the evolution of socio-economic inequalities, we fitted an ecological regression model that included the socio-economic indicator, the period of time, and the interaction between these terms. RESULTS: In men, socio-economic inequalities in all-cancer and lung cancer mortality were observed in most of the cities studied, but did not increase after the onset of the economic crisis. In women, only two cities (Stockholm and London) showed socio-economic inequalities in all-cancer and lung cancer mortality; there was also no increase in inequalities. CONCLUSIONS: Our results did not validate our hypothesis that inequalities increase in times of crisis. However, they emphasize the importance of socio-economic measurements for understanding mortality inequalities, and can be used to inform prevention strategies and help plan local health programs aimed at reducing health inequalities.
Agència de Salut Pública de Barcelona Barcelona Spain
Centre of Studies in Geography and Spatial Planning University of Coimbra Coimbra Portugal
CIBER Epidemiología y Salud Pública Madrid Spain
Institut d'Investigació Biomèdica Barcelona Spain
Olomouc University Social Health Institute Palacky University in Olomouc Olomouc Czech Republic
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- $a BACKGROUND: The effect of inequalities aggravated by economic recessions in the mortality rates of certain diseases has been previously described. In this study, we analyzed the relationship between socio-economic deprivation and cancer mortality. We focused on lung, colon, prostate, and breast cancers in nine European urban areas over three periods: two before (2000-2003 and 2004-2008) and one after (2009-2014) the onset of the 2008 financial crisis. METHODS: This is an ecological study of trends. The units of analysis were small areas within nine European urban areas. We used a composite deprivation index as a socio-economic indicator. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyze the evolution of socio-economic inequalities, we fitted an ecological regression model that included the socio-economic indicator, the period of time, and the interaction between these terms. RESULTS: In men, socio-economic inequalities in all-cancer and lung cancer mortality were observed in most of the cities studied, but did not increase after the onset of the economic crisis. In women, only two cities (Stockholm and London) showed socio-economic inequalities in all-cancer and lung cancer mortality; there was also no increase in inequalities. CONCLUSIONS: Our results did not validate our hypothesis that inequalities increase in times of crisis. However, they emphasize the importance of socio-economic measurements for understanding mortality inequalities, and can be used to inform prevention strategies and help plan local health programs aimed at reducing health inequalities.
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- $a Bosakova, Lucia $u Department of Health Psychology and Research Methodology, Medical Faculty, P. J. Safarik University in Kosice, Kosice, Slovak Republic; Olomouc University Social Health Institute (OUSHI), Palacky University in Olomouc, Olomouc, Czech Republic
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