Rodríguez López, SantiagoBenseñor, Isabela Judith MartinsGiatti, LuanaCarmen Molina, Maria delLotufo, Paulo Andrade2017-10-262017-10-262017RODRÍGUEZ LÓPEZ, S. et al. Association between maternal education and blood pressure: mediation evidence through height components in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Annals of Human Biology, v. 44, n. 3, p. 1-9, 2017. Disponível em: <http://www.tandfonline.com/doi/abs/10.1080/03014460.2016.1188983?journalCode=iahb20>. Acesso em: 29 ago. 2017.1464-5033http://www.repositorio.ufop.br/handle/123456789/9058Background: Maternal education influences skeletal growth and offspring adult blood pressure (BP). Height components are negatively associated with BP in high-income countries. Aim: To evaluate the association between maternal education and offspring adult systolic and diastolic BP (SBP/DBP), assessing whether different height components might mediate such an association. Subjects and methods: Simple mediation modelling was used to evaluate the maternal education-offspring SBP/DBP association, estimating the contribution of offspring height components, in a cross-sectional sample of 13 571 Brazilians aged 34-75 from the ELSA-Brasil study. Results: After full adjustment for confounders, and compared to participants whose mothers received low education, those whose mothers received high education, had on average, 0.2 mm Hg lower SBP (95% CI: -0.274, -0.132), as result of the link between maternal education and offspring adult height which, in turn, influenced SBP. Thus, 18-26% of the maternal education-SBP association occurred indirectly, through height, trunk and leg length, alternatively. Conclusions: Better maternal education might influence higher leg and trunk lengths in offspring, which in turn, might contribute to prevent higher BP in adults. The negative height-BP association reported in high-income countries is also present in a middle-income country with more recent economic development.en-USrestritoMaternal educationHeight componentsMediation modellingTransitioning populationsArtigo publicado em periodicohttp://www.tandfonline.com/doi/abs/10.1080/03014460.2016.1188983?journalCode=iahb20https://doi.org/10.1080/03014460.2016.1188983