The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal

Dados Bibliográficos

ID15503237
AutoresCláudia Costa (0000-0002-2715-1154, Centro de Estudos em Geografia e Ordenamento do Territorio, autor correspondente), Ângela Freitas (0000-0002-1081-2147, Centro de Estudos em Geografia e Ordenamento do Territorio), Ricardo Almendra (0000-0002-2712-9643, Centro de Estudos em Geografia e Ordenamento do Territorio), Paula Santana (0000-0002-7658-8475, Centro de Estudos em Geografia e Ordenamento do Territorio)
Ano2020
Volume17
Fascículo22
Páginas8517-8517
Data de publicação2020-11-17
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17228517
PMID33212953
OpenAlexW3105113965
IdiomaEN
Citações recebidas6
Referências citadas68

There is considerable evidence pointing to the existence of a socioeconomic gradient in mortality, which tends to be steeper in urban areas. Similar to other European cities, Lisbon is far from homogeneous since considerable geographical inequalities exist between the more advantaged and the more deprived neighborhoods. The main goals of this study are to describe the geographical pattern of premature deaths (before 65 years old), avoidable deaths (preventable and amenable to healthcare) and cause-specific mortality (HIV/AIDS and suicide) in Lisbon, at the lower administrative level (civil parish, in Portuguese: Freguesia), and analyze the statistical association between mortality risk and deprivation, before (1999-2003) and during the economic crisis (2008-2012). Smoothed Standardized Mortality Ratios (sSMR) and Relative Risk (RR) with 95% credible intervals were calculated to identify the association between mortality and deprivation. The analysis of the geographical distribution of cause-specific mortality reveals that civil parishes with high sSMR in the first period continued to present higher mortality rates in the second. Moreover, a significant statistical association was found between all the causes of death and deprivation, except suicide. These findings contribute to understanding how social conditions influence health outcomes and can offer insights about potential policy directions for local government

Association (psychology · Demographic economics · Economics · Geography · Homogeneous · Inequality · Mortality rate · Population · Portuguese · Socioeconomic status · Sociology · Demography · Employment and Welfare Studies · Global Health Care Issues · Health disparities and outcomes · Medicine · Psychology