Structural energy poverty vulnerability and excess winter mortality in the European Union: Exploring the association between structural determinants and health

被引:95
|
作者
Recalde, Martina [1 ,2 ]
Peralta, Andres [2 ,3 ,4 ]
Oliveras, Laura [1 ,2 ,5 ]
Tirado-Herrero, Sergio [6 ]
Borrell, Carme [1 ,2 ,5 ,7 ]
Palencia, Laia [2 ,5 ,7 ]
Gotsens, Merce [2 ,5 ]
Artazcoz, Lucia [1 ,2 ,5 ,7 ]
Mari-Dell'Olmo, Marc [2 ,5 ,7 ]
机构
[1] Univ Pompeu Fabra, Dept Expt & Hlth Sci, Doctor Aiguader 88, Barcelona 08003, Spain
[2] Agencia Salut Publ Barcelona, Pl Lesseps 1, Barcelona 08023, Spain
[3] Univ Pompeu Fabra, Hlth Inequal Res Grp, Employment Condit Knowledge Network GREDS EMCONET, Dept Polit & Social Sci, Ramon Trias Fargas 25-27, Barcelona 08005, Spain
[4] Pompeu Fabra Univ, Johns Hopkins Univ, Publ Policy Ctr, Ramon Trias Fargas 25-27, Barcelona 08005, Spain
[5] Inst Invest Biomed IIB St Pau, Carrer St Quinti 77, Barcelona 08041, Spain
[6] UAB, Inst Environm Sci & Technol ICTA, Carrer Columnes S-N,Campus UAB, Cerdanyola Del Valles 08193, Spain
[7] CIBERESP, Ave Monforte Lemos 3-5,Pabellon 11,Planta 0, Madrid 28029, Spain
关键词
Energy poverty; European union; Public health; Social determinants of health; Excess winter mortality; FUEL POVERTY; COLD HOMES; INEQUALITIES; DEATHS; INDEX; RISK; DEPRIVATION; MORBIDITY; EVENTS; PEOPLE;
D O I
10.1016/j.enpol.2019.07.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
Energy poverty (EP) is a growing problem in the European Union (EU) that affects the population's health. EP is structurally determined by broader political and socio-economic conditions. Our aims were to analyze the configuration of these determinants in each EU-27 country through the creation of a structural energy poverty vulnerability (SEPV) index, to group countries according to their SEPV index scores, and to explore the association between SEPV and EP prevalence, and also with excess winter mortality (EWM). We created a SEPV index through satiated principal component analyses and then validated the index. We performed a hierarchical cluster analysis (HCA) to group countries according to their SEPV. A Poisson regression model was fitted to analyze the association between SEPV and EWM. The final index comprised 13 indicators and showed an unequal distribution of SEPV across the EU. The HCA identified countries with high structural vulnerability (southeastern Europe) and countries with low structural vulnerability (northwestern Europe). The most vulnerable countries showed a statistically significant higher EP prevalence and risk of EWM. The SEPV index summarizes the structural determinants of EP across the EU, allows to identify geographical patterns and to study how the structural determinants of EP affect health.
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页数:18
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