0000000000043048

AUTHOR

Merce Gotsens

0000-0003-2952-2024

showing 4 related works from this author

Inequalities in mortality in small areas of eleven Spanish cities (the multicenter MEDEA project)

2009

The objectives of this study are to identify inequalities in mortality among census tracts of 11 Spanish cities in the period 1996-2003 and to analyse the relationship between these geographical inequalities and socioeconomic deprivation. It is a cross-sectional ecological study where the units of analysis are census tracts. We obtained an index of socioeconomic deprivation and estimated SMR by each census tract using hierarchical Bayesian models which take into account the spatial structure. In the majority of the cities geographical patterns in total mortality were found in both sexes, which were similar to those for the index of socioeconomic deprivation. Among men, four specific causes …

EmploymentMaleHealth (social science)InequalityCross-sectional studymedia_common.quotation_subjectGeography Planning and DevelopmentAge DistributionInternational Classification of DiseasesResidence CharacteristicsCause of DeathPoverty AreasHumansRegistriesMortalitySex DistributionSocioeconomic statusSmall-Area Analysismedia_commonCause of deathAnalysis of VariancePrincipal Component AnalysisUrban HealthPublic Health Environmental and Occupational HealthEcological studyHealth Status DisparitiesCensusCross-Sectional StudiesGeographySocioeconomic FactorsSpainPopulation SurveillanceSmall-Area AnalysisEducational StatusRegression AnalysisFemaleGeographical inequalitiesDemographyHealth & Place
researchProduct

Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities

2011

incluye "Erratum to: Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities" BACKGROUND: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. METHODS: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the censu…

MaleUrban PopulationEstudios transversalesCross-sectional studyEspaña:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings]Business Management and Accounting(all)Disparidades en el estado de saludPoblación urbanaHealth informatics:Health Care::Population Characteristics::Population::Urban Population [Medical Subject Headings]NeoplasmsHuman geographyEpidemiologyCàncerUrban areasSocioeconomicsSmall-Area Analysismedia_common:Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings]Geography:Diseases::Neoplasms [Medical Subject Headings]CensusNeoplasiasGeography:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Probability::Bayes Theorem [Medical Subject Headings]lcsh:R858-859.7EnfermeríaFemaleRisk assessmentComputer Science(all)Riskmedicine.medical_specialtyGeneral Computer ScienceInequalitymedia_common.quotation_subjectHealth geographyeducationBayesian probabilityMedi ambientCancer mortalitylcsh:Computer applications to medicine. Medical informaticsRisk AssessmentCàncer -- MortalitatCiutatsMortalitatmedicineConfidence IntervalsTeorema de BayesHumansCancer -- MortalitySocioeconomic statusPovertyPovertybusiness.industryPublic healthResearchPublic Health Environmental and Occupational HealthCorrection:Health Care::Environment and Public Health::Public Health::Epidemiologic Measurements::Demography::Health Status::Health Status Disparities [Medical Subject Headings]Bayes TheoremHealth Status DisparitiesGeneral Business Management and AccountingSocioeconomic deprivationBayesian statistical decisionCross-Sectional StudiesEstadística bayesianaSocioeconomic FactorsSpainInequalitiesbusinessDemographyInternational Journal of Health Geographics
researchProduct

Socio-economic inequalities in mortality due to injuries in small areas of ten cities in Spain (MEDEA Project).

2011

Abstract Objectives To analyse socio-economic inequalities in mortality due to injuries among census tracts of ten Spanish cities by sex and age in the period 1996–2003. Methods This is a cross-sectional ecological study where the units of analysis are census tracts. The study population consisted of people residing in the cities during the period 1996–2003. For each census tract we obtained an index of socio-economic deprivation, and estimated standardized mortality ratios using hierarchical Bayesian models which take into account the spatial structure of the data. Results In the majority of the cities, the geographical pattern of total mortality from injuries is similar to that of the soc…

AdultMaleAdolescentPoison controlHuman Factors and ErgonomicsSuicide preventionOccupational safety and healthYoung AdultResidence CharacteristicsCause of DeathPoverty AreasInjury preventionHumansCitiesSafety Risk Reliability and QualityModels StatisticalPublic Health Environmental and Occupational HealthUrban HealthHuman factors and ergonomicsEcological studyBayes TheoremCensusesCensusMiddle AgedGeographyCross-Sectional StudiesSocioeconomic FactorsSpainPopulation studyWounds and InjuriesFemaleDemographyAccident; analysis and prevention
researchProduct

Socioeconomic inequalities in injury mortality in small areas of 15 European cities.

2013

This study analysed socioeconomic inequalities in mortality due to injuries in small areas of 15 European cities, by sex, at the beginning of this century. A cross-sectional ecological study with units of analysis being small areas within 15 European cities was conducted. Relative risks of injury mortality associated with the socioeconomic deprivation index were estimated using hierarchical Bayesian model. The number of small areas varies from 17 in Bratislava to 2666 in Turin. The median population per small area varies by city (e.g. Turin had 274 inhabitants per area while Budapest had 76,970). Socioeconomic inequalities in all injury mortality are observed in the majority of cities and a…

AdultMaleHealth (social science)AdolescentUrban PopulationGeography Planning and DevelopmentPopulationPoison controlSocial class03 medical and health sciencesYoung Adult0302 clinical medicineEnvironmental healthInjury preventionHumansSocioeconomic inequalities030212 general & internal medicineMortalityHealthcare DisparitieseducationSocioeconomicsUrban areasSocioeconomic statusSmall-Area Analysiseducation.field_of_study030505 public healthInjuries1. No povertyPublic Health Environmental and Occupational HealthEcological studyMiddle Aged3. Good healthEastern europeanEuropeGeographySmall areasCross-Sectional StudiesSocial ClassSmall-Area AnalysisWounds and InjuriesFemale0305 other medical scienceHealthplace
researchProduct