Socioeconomic inequalities in mortality in 16 European cities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10281525" target="_blank" >RIV/00216208:11310/14:10281525 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1177/1403494814522556" target="_blank" >http://dx.doi.org/10.1177/1403494814522556</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/1403494814522556" target="_blank" >10.1177/1403494814522556</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Socioeconomic inequalities in mortality in 16 European cities

Popis výsledku v původním jazyce

Aims: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. Methods: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index ofsocioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. Results: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronoun

Název v anglickém jazyce

Socioeconomic inequalities in mortality in 16 European cities

Popis výsledku anglicky

Aims: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. Methods: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index ofsocioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. Results: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronoun

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AO - Sociologie, demografie

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scandinavian Journal of Public Health

ISSN

1403-4948

e-ISSN

—

Svazek periodika

42

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

NO - Norské království

Počet stran výsledku

10

Strana od-do

245-254

Kód UT WoS článku

000336795100005

EID výsledku v databázi Scopus

—