4.7 Article

The association of urine metals and metal mixtures with cardiovascular incidence in an adult population from Spain: the Hortega Follow-Up Study

Journal

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Volume 48, Issue 6, Pages 1839-1849

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ije/dyz061

Keywords

Urine metals; cardiovascular incidence; population-based; cohort study; BKMR

Funding

  1. Strategic Action for Research in Health sciences [CP12/03080, PI10/0082, PI13/01848, PI07/0497, PI11/00726]
  2. Valencia Government [GRUPOS 03/101, PROMETEO/2009/029, PROMETEO/2005/027, AMP07/075, ACOMP/2013/039]
  3. Castilla-Leon Government [GRS/279/A/08]
  4. European Network of Excellence Ingenious Hypercare from the European Commission [EPSS-037093]
  5. CIBER Fisiopatologia Obesidad y Nutricion (CIBERobn) [CIBER-02-08-2009, CB06/03, CB12/03/30016]
  6. US National Institute of Environmental Health Sciences (NIEHS) [RO1 ES028805, P42ES10349, P30ES009089]
  7. CIBER de Diabetes y Enfermedades Metabolicas Relacionadas [CIBERDEM CB07/0/018]
  8. European Funds for Regional Development (FEDER)

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Background: The association of low-level exposure to metals and metal mixtures with cardiovascular incidence in the general population has rarely been studied. We flexibly evaluated the association of urinary metals and metal mixtures concentrations with cardiovascular diseases in a representative sample of a general population from Spain. Methods: Urine antimony (Sb), barium (Ba), cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), molybdenum (Mo), vanadium (V) and zinc (Zn) were measured in 1171 adults without clinical cardiovascular diseases, who participated in the Hortega Study. Cox proportional hazard models were used for evaluating the association between single metals and cardiovascular incidence. We used a Probit extension of Bayesian Kernel Machine Regression (BKMR-P) to handle metal mixtures in a survival setting. Results: In single-metal models, the hazard ratios [confidence intervals (CIs)] of cardiovascular incidence, comparing the 80th to the 20th percentiles of metal distributions, were 1.35 (1.06, 1.72) for Cu, 1.43 (1.07, 1.90) for Zn, 1.51 (1.13, 2.03) for Sb, 1.46 (1.13, 1.88) for Cd, 1.64 (1.05, 2.58) for Cr and 1.31 (1.01, 1.71) for V. BKMR-P analysis was confirmatory of these findings, supporting that Cu, Zn, Sb, Cd, Cr and V are related to cardiovascular incidence in the presence of the other metals. Cd and Sb showed the highest posterior inclusion probabilities. Conclusions: Urine Cu, Zn, Sb, Cd, Cr and V were independently associated with increased cardiovascular risk at levels relevant for the general population of Spain. Urine metals in the mixture were also jointly associated with cardiovascular incidence, with Cd and Sb being the most important components of the mixture.

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