Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/19095
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dc.contributor.authorRodriguez Caro, Alejandroen_US
dc.contributor.authorGonzález López-Valcárcel, Beatrizen_US
dc.contributor.authorVallejo Torres, Lauraen_US
dc.contributor.otherValcarcel, Bea-
dc.contributor.otherVallejo Torres, Laura-
dc.contributor.otherRodriguez-Caro, Alejandro-
dc.date.accessioned2016-11-10T03:30:51Z-
dc.date.accessioned2018-03-16T09:13:03Z-
dc.date.available2016-11-10T03:30:51Z-
dc.date.available2018-03-16T09:13:03Z-
dc.date.issued2016en_US
dc.identifier.issn1475-9276en_US
dc.identifier.urihttp://hdl.handle.net/10553/19095-
dc.description.abstractBackground: There is a well-documented social gradient in obesity in most developed countries. Many previous studies have conventionally categorised individuals according to their body mass index (BMI), focusing on those above a certain threshold and thus ignoring a large amount of the BMI distribution. Others have used linear BMI models, relying on mean effects that may mask substantial heterogeneity in the effects of socioeconomic variables across the population. Method: In this study, we measure the social gradient of the BMI distribution of the adult population in Spain over the past two decades (1993–2014), using unconditional quantile regressions. We use three socioeconomic variables (education, income and social class) and evaluate differences in the corresponding effects on different percentiles of the log-transformed BMI distribution. Quantile regression methods have the advantage of estimating the socioeconomic effect across the whole BMI distribution allowing for this potential heterogeneity. Results: The results showed a large and increasing social gradient in obesity in Spain, especially among females. There is, however, a large degree of heterogeneity in the socioeconomic effect across the BMI distribution, with patterns that vary according to the socioeconomic indicator under study. While the income and educational gradient is greater at the end of the BMI distribution, the main impact of social class is around the median BMI values. A steeper social gradient is observed with respect to educational level rather than household income or social class. Conclusion: The findings of this study emphasise the heterogeneous nature of the relationship between social factors and obesity across the BMI distribution as a whole. Quantile regression methods might provide a more suitable framework for exploring the complex socioeconomic gradient of obesity.en_US
dc.formatapplication/pdf-
dc.languageengen_US
dc.relation.ispartofInternational Journal for Equity in Healthen_US
dc.rightsby-nc-nd-
dc.sourceInternational journal for equity in health [ISSN 1475-9276], v. 15(175)en_US
dc.subject531207 Sanidaden_US
dc.subject5302 Econometríaen_US
dc.subject.otherObesidaden_US
dc.subject.otherSalud públicaen_US
dc.subject.otherCostesen_US
dc.subject.otherDesigualdaden_US
dc.subject.otherModelos econométricosen_US
dc.titleUnconditional quantile regressions to determine the social gradient of obesity in Spain 1993-2014en_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/s12939-016-0454-1en_US
dc.identifier.scopus84992200997-
dc.identifier.isi000388526200001-
dcterms.isPartOfInternational Journal For Equity In Health-
dcterms.sourceInternational Journal For Equity In Health[ISSN 1475-9276],v. 15-
dc.contributor.authorscopusid22986526100-
dc.contributor.authorscopusid56309858100-
dc.contributor.authorscopusid6507677112-
dc.identifier.absysnet728813-
dc.identifier.crisid2455;455;49157-
dc.identifier.issue175-
dc.relation.volume15en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.rights.accessrightsAcceso libre-
dc.type2Artículoen_US
dc.identifier.wosWOS:000388526200001-
dc.contributor.daisngid7740597-
dc.contributor.daisngid26573843-
dc.contributor.daisngid2925166-
dc.contributor.daisngid7008994-
dc.contributor.daisngid1229412-
dc.identifier.investigatorRIDA-9891-2010-
dc.identifier.investigatorRIDH-2843-2013-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Rodriguez-Caro, A-
dc.contributor.wosstandardWOS:Vallejo-Torres, L-
dc.contributor.wosstandardWOS:Lopez-Valcarcel, B-
dc.date.coverdateOctubre 2016en_US
dc.identifier.supplement2455;455;49157-
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr1,05
dc.description.jcr1,738
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.ssciSSCI
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-8080-3094-
crisitem.author.orcid0000-0001-5833-6066-
crisitem.author.orcid0000-0002-5571-3257-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameRodríguez Caro, Alejandro Manuel-
crisitem.author.fullNameVallejo Torres, Laura-
crisitem.author.fullNameGonzález Lopez-Valcarcel, Beatriz-
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