Inequalities in the access to healthy urban structure and housing

An analysis of the Brazilian census data

Datos Bibliográficos

ID5167656
AutoresAntonio Fernando Boing (0000-0001-9331-1550, Universidade Federal de Santa Catarina), Alexandra Crispim Boing (0000-0001-7792-4824, Universidade Federal de Santa Catarina), V Subramanian (0000-0003-2365-4165, Harvard T. H. Chan School of Public Health, U.S.A.)
Año2021
Volumen37
Número6
Páginase00233119-e00233119
Fecha de publicación2021-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCadernos de Saude Publica (JOURNAL)
Identificadores de la revistaISSN: 0102-311X • E-ISSN: 1678-4464
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00233119
PMID34190754
OpenAlexW3175654830
SCIELO_PIDS0102-311X2021000605014
IdiomaEN
Citas recibidas2
Referencias citadas15

This study aims (1) to test the association between access to basic sanitation/hygiene services in Brazilian households with their householders' socioeconomic and demographic characteristics; (2) to analyze the distribution of urban health-relevant elements in the census tracts according to their income, education and race/color composition. The information come from the 2010 Brazilian Demographic Census, which collected data regarding both household conditions and urban structure of the census tracts. Prevalence ratios were calculated using crude and adjusted Poisson regression models. The proportional distribution of the census-tract urban structure was performed, according to the deciles of the exploratory variables, and the ratios and the absolute differences between the extreme deciles were calculated. Around 4.8% of the households had no piped water, 34.7% had no sewage collection system, 9.8% had no garbage collection and 39% were considered inadequate. Families whose householders were black, indigenous or brown had lower income and educational level, and lived in the North, Northeast, and Central West regions. They were more likely to be considered inappropriate for not having piped water, sewage collection system, and garbage collection. Moreover, sectors where the majority of the population was black, had lower educational levels and lower income had significantly poor paving, street lighting, afforestation, storm drain, sidewalk and wheelchair ramp. This study analyzed national data from 2010 and provides a baseline for future studies and government planning. The relevant social inequalities reported in this study need to be addressed by effective public policies

Census · Decile · Environmental health · Geography · Household income · Poisson regression · Population · Sanitation · Socioeconomic status · Socioeconomics · Sociology · Statistics · Child Nutrition and Water Access · Demography · Environmental Engineering · Environmental Science · Medicine · Urban and Rural Development Challenges · Urban Transport and Accessibility