000129916 001__ 129916
000129916 005__ 20240731103355.0
000129916 0247_ $$2doi$$a10.1093/eurpub/ckad227
000129916 0248_ $$2sideral$$a136216
000129916 037__ $$aART-2024-136216
000129916 041__ $$aeng
000129916 100__ $$0(orcid)0000-0002-5064-3763$$aCastel-Feced, Sara
000129916 245__ $$aExploring sex variations in the incidence of cardiovascular events: a counterfactual decomposition analysis
000129916 260__ $$c2024
000129916 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129916 5203_ $$aBackground: Some cardiovascular risk factors (CVRFs) that occur differently in men and women can be addressed to reduce the risk of suffering a major adverse cardiovascular event (MACE). Furthermore, the development of MACE is highly influenced by social determinants of health. Counterfactual decomposition analysis is a new methodology that has the potential to be used to disentangle the role of different factors in health inequalities. This study aimed to assess sex differences in the incidence of MACE and to estimate how much of the difference could be attributed to the prevalence of diabetes, hypertension, hypercholesterolaemia and socioeconomic status (SES). Methods: Descriptive and counterfactual analyses were conducted in a population of 278 515 people with CVRFs. The contribution of the causal factors was estimated by comparing the observed risk ratio with the causal factor distribution that would have been observed if men had been set to have the same factor distribution as women. The study period was between 2018 and 2021. Results: The most prevalent CVRF was hypercholesterolaemia, which was similar in both sexes, while diabetes was more prevalent in men. The incidence of MACE was higher in men than in women. The main causal mediating factors that contributed to the sex differences were diabetes and SES, the latter with an offsetting effect. Conclusions: This result suggests that to reduce the MACE gap between sexes, diabetes prevention programmes targeting men and more gender-equal salary policies should be implemented.
000129916 536__ $$9info:eu-repo/grantAgreement/ES/DGA-IIU/796-2019$$9info:eu-repo/grantAgreement/ES/ISCIII/PI22-01193
000129916 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000129916 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129916 700__ $$0(orcid)0000-0002-7194-8275$$aMalo, Sara$$uUniversidad de Zaragoza
000129916 700__ $$0(orcid)0000-0001-7293-701X$$aAguilar-Palacio, Isabel$$uUniversidad de Zaragoza
000129916 700__ $$0(orcid)0000-0003-1647-3462$$aMaldonado, Lina$$uUniversidad de Zaragoza
000129916 700__ $$0(orcid)0000-0002-6671-5661$$aRabanaque, María José$$uUniversidad de Zaragoza
000129916 700__ $$aSan Sebastián, Miguel
000129916 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000129916 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000129916 773__ $$g34, 3 (2024), 578–583$$pEur. j. public health$$tEuropean Journal of Public Health$$x1101-1262
000129916 8564_ $$s294543$$uhttps://zaguan.unizar.es/record/129916/files/texto_completo.pdf$$yVersión publicada
000129916 8564_ $$s3374373$$uhttps://zaguan.unizar.es/record/129916/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129916 909CO $$ooai:zaguan.unizar.es:129916$$particulos$$pdriver
000129916 951__ $$a2024-07-31-09:56:20
000129916 980__ $$aARTICLE