000164166 001__ 164166
000164166 005__ 20251127172930.0
000164166 0247_ $$2doi$$a10.1186/s12889-025-24874-8
000164166 0248_ $$2sideral$$a146326
000164166 037__ $$aART-2025-146326
000164166 041__ $$aeng
000164166 100__ $$aCollazo, Yuleydy
000164166 245__ $$aCardiovascular risk factors in immigrants: an intersectional real world data approach to understand health inequalities
000164166 260__ $$c2025
000164166 5060_ $$aAccess copy available to the general public$$fUnrestricted
000164166 5203_ $$aCardiovascular risk factors (CVRFs) are shaped by social determinants of health. Lower CVRFs frequency in immigrants, as reported in the literature, may oversimplify a group affected by multiple and intersecting social inequities. Using the framework of intersectionality, we aim to analyse the prevalence of CVRFs using Real-World Data (RWD), in immigrants to better understand how overlapping social identities shape health outcomes.
Methods. A cross-sectional observational study was conducted in the immigrant population of the CARhES cohort (45,861) a population cohort of RWD of CVRFs’ patients. In order to characterise the most privileged and oppressed immigrant groups, we considered the impact of country of origin, age group, gender, income level and place of residence on the prevalence of CVRFs. Logistic regression models were used to estimate the effect of socioeconomic characteristics on the presence of three CVRFs. To explore intersectionality, logistic regression models with interactions assessed how sociodemographic variables jointly influenced the presence of three CVRFs. Coefficients were tested for significance using the Wald test, and odds ratios (ORs) were calculated with their 95% confidence intervals (CI).
Results. The prevalence of CVRFs was higher in immigrant men, living in urban areas, and increased with aging and low income. The strongest association between socioeconomic variables and the presence of three CVRFs was found in people 65–79 years and among Europeans. This association was independent of their time in the country. Intersectional strata with more CVRFs included individuals aged 65–79 in urban areas, Latin American and Caribbean men and African women. Intersectional analyses showed that African immigrants from urban areas had a higher probability of having the three CVRFs (OR: 1.66, CI = 1.30–2.11), as did African women (OR: 1.40, CI = 1.15–1.69). Females in the most oppressed axes of inequality showed a higher frequency of CVRFs than males. Conclusions. Intersectional approach reveals that the most disadvantaged groups regarding CVRFs include older Latin American and Caribbean men and African women in urban areas. Women facing multiple layers of social oppression are particularly at risk. This RWD-based approach enables the identification of at-risk groups and supports the design of equitable, data-driven health interventions.
000164166 536__ $$9info:eu-repo/grantAgreement/ES/DGA-GRISSA/B09-23R$$9info:eu-repo/grantAgreement/ES/ISCIII/PI22-01193
000164166 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000164166 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000164166 700__ $$aGamba, Adriana
000164166 700__ $$0(orcid)0000-0002-7194-8275$$aMalo, Sara$$uUniversidad de Zaragoza
000164166 700__ $$0(orcid)0000-0002-6671-5661$$aRabanaque, MJ$$uUniversidad de Zaragoza
000164166 700__ $$aCarela, Francisco Javier
000164166 700__ $$0(orcid)0000-0001-7293-701X$$aAguilar-Palacio, Isabel$$uUniversidad de Zaragoza
000164166 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000164166 773__ $$g25, 1 (2025), 11 pp.$$pBMC Public Health$$tBMC PUBLIC HEALTH$$x1471-2458
000164166 8564_ $$s1479759$$uhttps://zaguan.unizar.es/record/164166/files/texto_completo.pdf$$yVersión publicada
000164166 8564_ $$s2205713$$uhttps://zaguan.unizar.es/record/164166/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000164166 909CO $$ooai:zaguan.unizar.es:164166$$particulos$$pdriver
000164166 951__ $$a2025-11-27-15:16:18
000164166 980__ $$aARTICLE