Search results for "Socioeconomic inequalities"

showing 7 items of 7 documents

Socioeconomic inequalities in the impact of tobacco control policies on adolescent smoking. A multilevel study in 29 European countries

2016

Abstract Introduction There are concerns that tobacco control policies may be less effective in reducing smoking among disadvantaged socioeconomic groups and thus may contribute to inequalities in adolescent smoking. This study examines how the association between tobacco control policies and smoking of 15-year-old boys and girls among 29 European countries varies according to socioeconomic group. Methods Data were used from the Health Behaviour in School-aged Children (HBSC) study conducted in 2005/2006 comprising 50,338 adolescents aged 15 years from 29 European countries. Multilevel logistic regression analyses were conducted to assess the association of weekly smoking with components of…

AdultMaleAdolescentInequalitymedia_common.quotation_subjectMedicine (miscellaneous)ToxicologySocial classtobacco control policiesYoung Adult03 medical and health sciences0302 clinical medicineEnvironmental healthHumansMedicineadolescents030212 general & internal medicineSex DistributionYoung adultSocioeconomic statusmedia_common030505 public healthsocioeconomic inequalitiesbusiness.industrySmokingTobacco controlta3142Tobacco ProductsDisadvantagedEuropePsychiatry and Mental healthClinical PsychologySocial ClassSocioeconomic FactorsAdolescent BehaviorScale (social sciences)Female0305 other medical sciencebusinessAdolescent smokingAddictive behaviors
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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
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Macroeconomic fluctuations and educational inequalities in suicide mortality among working-age men in the Baltic countries and Finland in 2000–2015: …

2020

Abstract Introduction In the 2000s, the Baltic countries experienced unprecedented economic growth followed by a deep recession. This study aimed to examine changes and educational inequalities in suicide mortality among working-age men in the Baltic countries and Finland in relation to macroeconomic fluctuations. Methods We analysed changes in overall suicide mortality and by educational level between the 2000–2003, 2004–2007, 2008–2011 and 2012–2015 periods among men aged 30–64 years using census-linked longitudinal mortality data. We estimated age-standardised mortality rates, mortality rate ratios (Poisson regression), the relative index of inequality and slope index of inequality. Resu…

Baltic StatesMaleall cause mortalityEconomic expansionIndex (economics)SociologiSuicide mortalityRecessionmortality rateRecessionSOCIOECONOMIC INEQUALITIES0302 clinical medicineSociology10. No inequalityCRISISFinlandmedia_commonUNEMPLOYMENTadultRelative index of inequalityMortality ratelongitudinal study1. No povertyMiddle AgedEconomic cyclesSuicidePsychiatry and Mental healthGeographypriority journal5141 Sociology8. Economic growthsymbolsEducational StatusAdultunemploymentEUROPEInequalitymedia_common.quotation_subjectArticleEducationeducational status03 medical and health sciencessymbols.namesakemalefollow upHumansRATEShumanPoisson regressionMortalitygross national productsuicideBiological Psychiatryeconomic development030227 psychiatrywelfareSocioeconomic FactorsUnemploymentGREAT RECESSIONInequalitieseconomic recession030217 neurology & neurosurgeryDemographyJournal of Psychiatric Research
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Socio-economic inequalities and organized crime: An empirical analysis

2020

In this chapter we contribute to the recent literature (e.g., Istat, 2010, Acciari et al., 2016, Guell et al., 2017) that provides evidence that inequality is high and social mobility is low in the Italian regions and prov-inces where organized crime is widespread such as those of Southern Italy. We complement this line of work in two respects. First, using a novel pan-el dataset at the regional level for the period 1985-2014 we investigate the relationship between inequality and organized crime at the regional level, exploiting both time and cross-sectional variation. Second, we assess the role of social mobility in organized crime. Our main finding is that higher inequality leads to highe…

Inequalitymedia_common.quotation_subjectControl (management)Distribution (economics)Economic inequality0502 economics and businessEconomicsOrganised crime050207 economics10. No inequalitySettore SECS-P/01 - Economia PoliticaSocioeconomic inequalities050205 econometrics media_commonConsumption (economics)business.industry05 social sciences1. No poverty16. Peace & justiceSocial mobilitySocial MobilityOrganized CrimeInequality8. Economic growthDemographic economicsMafiabusiness
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Socioeconomic differences in adolescents’ smoking: a comparison between Finland and Beijing, China

2016

Background: Various studies have demonstrated the associations between socioeconomic status (SES) and health and health behaviour among adolescents. However, few studies have compared the socioeconomic difference in adolescent smoking between countries with different stage of smoking. The purpose of this study was to examine and compare the relationship between socioeconomic status (SES) and adolescent smoking in Beijing, China and Finland through the Health Behaviour in School-aged Children (HBSC) study. Methods: The data used in this study were derived from the Chinese HBSC linked project survey 2008 in Beijing and the Finnish HBSC survey 2006. The final sample included 2005 Chinese and 1…

MaleChinamedicine.medical_specialtyPediatricsAdolescentHealth BehaviorPsychological interventionSocial classLogistic regression03 medical and health sciencesFamily Affluence Scale0302 clinical medicineBeijingtupakointiSurveys and QuestionnairesEpidemiologyPrevalencemedicineHumansSocioeconomic inequalities030212 general & internal medicineadolescentsChildStudentsSocioeconomic statusFinlandSchools030505 public healthsocioeconomic inequalitiesbusiness.industrylcsh:Public aspects of medicinePublic healthSmokingPublic Health Environmental and Occupational Healthlcsh:RA1-1270Logistic ModelsSocial ClassSocioeconomic FactorsAdolescent BehaviorBeijingFemaleBiostatistics0305 other medical sciencebusinessResearch ArticleDemography
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Socioeconomic inequalities in adolescent smoking across 35 countries: A multilevel analysis of the role of family, school and peers

2015

BACKGROUND: Tobacco-related heath inequalities are a major public health concern, with smoking being more prevalent among lower socioeconomic groups. The aim of this study is to investigate the mechanisms leading to socioeconomic inequalities in smoking among 15-year-old adolescents by examining the mediating role of psychosocial factors in the peer group, family and school environment.METHODS: Data were derived from the international WHO-collaborative 'Health Behaviour in School-aged Children (HBSC)' study 2005/2006, including 52 907 15-year-old students from 35 European and North American countries. Socioeconomic position was measured by the Family Affluence Scale. Multilevel logistic reg…

MaleParentssocioeconomic groupsPediatricsmedicine.medical_specialtyInequalityAdolescentmedia_common.quotation_subjecteducationHealth Behaviortobacco useAcademic achievementPeer Groupschool environmentAdolescent; Adolescent Behavior; Europe; Family; Female; Health Behavior; Humans; Male; North America; Parents; Smoking; Socioeconomic Factors; Students; Health Status Disparities; Peer Group; Schools; Public Health Environmental and Occupational HealthmedicineHumansFamilyadolescentsStudentsSocioeconomic statusmedia_commonSchoolssocioeconomic inequalitiesPublic healthMultilevel modelSmokingEnvironmental and Occupational HealthPublic Health Environmental and Occupational HealthPeer groupta3142Health Status DisparitiesEuropeSocioeconomic FactorsAdolescent BehaviorScale (social sciences)North AmericaFemalePublic HealthPsychologyPsychosocialDemography
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Breast cancer screening : socioeconomic factors influencing the participation and screening round adequacy

2013

Mammography screening allowed breast tumors detection in early stage while treatments are less aggressive. Despite the fact that organized mammography screening has been free of charge for the target population since 2004 in France, the participation rate to the programme remains low.The aim of the studies was to investigate individual and area-level socioeconomic factors explaining low breast cancer screening attendance, individual factors influencing mammography screening round adequacy and to assess the evidence of screening round adequacy in the discovery of breast tumors.The results showed that women living in most deprived areas or rural areas, those covered by self-employed insurance…

Screening round[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyStade des tumeursOpportunistic mammographyParticipation au dépistageTumour stageMammographie individuelleRythme de suiviFacteurs prédictifsMammographieBreast cancerDépistage organisé du cancer du sein[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyParticipation in screeningSocioeconomic inequalitiesOrganized breast cancer screening[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyPredictive factorsCancer du seinInégalités socio-économiquesMammography
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