Evolution of inequalities in mortality in Salvador, Bahia State, Brazil, 1991/2006

Datos Bibliográficos

ID5226974
AutoresShirley Andrade Cruz (0000-0003-2318-6656, Universidade Federal da Bahia), Lígia Maria Vieira-Da-Silva (0000-0003-2518-411X, Universidade Federal da Bahia), Maria Da Conceição Nascimento Costa (0000-0001-7275-4280, Universidade Federal da Bahia), Jairnilson Silva Paim (0000-0003-0783-262X, Universidade Federal da Bahia)
Año2011
Volumen27
Númerosuppl 2
Páginass176-s184
Fecha de publicación2011-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCadernos de Saude Publica (JOURNAL)
Identificadores de la revistaISSN: 0102-311X • E-ISSN: 1678-4464
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0102-311x2011001400006
PMID21789411
OpenAlexW2138379324
SCIELO_PIDS0102-311X2011001400006
IdiomaEN
Citas recibidas2
Referencias citadas15

An ecological study was carried out with the aim of analyzing the evolution of inequalities in mortality in Salvador, Bahia State, Brazil, between 1991 and 2006. The city was divided into four social strata from 95 geographic Information Zones. The variables used for social stratification were education level and income of heads of households. Crude and age-standardized mortality rates, age specific mortality rates, proportional Infant mortality and the proportional mortality ratio, were calculated for each zone and social strata. Data was obtained from Death Certificates and the Populational Census. Although differences between strata were smaller in 2000 than in 1991, they persist and are still high, ranging from 28.7% to 65.5%. The differences between Information Zones were as much as 575%. The authors discuss the shortcomings of information systems, recommending that health indicators should be estimated by social classes and pointing out the limits and possibilities of the methodology used here

Census · Ecological study · Geography · Inequality · Mortality rate · Population · Social inequality · Social science · Social stratification · Socioeconomics · Sociology · Demography · Food Security and Health in Diverse Populations · Global Maternal and Child Health · Health disparities and outcomes · Mathematics