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Early-life external exposome in children 2-5 years old in Colombia.
Marín, Diana; Basagaña, Xavier; Amaya, Ferney; Aristizábal, Luis Miguel; Muñoz, Diego Alejandro; Domínguez, Alan; Molina, Francisco; Ramos, Carlos Daniel; Morales-Betancourt, Ricardo; Hincapié, Roberto; Rodríguez-Villamizar, Laura; Rojas, Yurley; Morales, Olga; Cuellar, Martha; Corredor, Andrea; Villamil-Osorio, Milena; Bejarano, María Alejandra; Vidal, Dolly; Narváez, Diana M; Groot, Helena; Builes, Juan José; López, Lucelly; Henao, Enrique Antonio; Lopera, Verónica; Hernández, Luis Jorge; Bangdiwala, Shrikant I; Marín-Ochoa, Beatriz; Oviedo, Ana Isabel; Sánchez-García, Oscar Eduardo; Toro, María Victoria; Riaño, Will; Rueda, Zulma Vanessa.
Afiliación
  • Marín D; School of Medicine, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia. Electronic address: dianamarcela.marin@upb.edu.co.
  • Basagaña X; ISGlobal, Barcelona, 08003, España, Spain; Universitat Pompeu Fabra (UPF), Barcelona, 08003, Spain; CIBER Epidemiology and Public Health (CIBERESP), Spain.
  • Amaya F; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Aristizábal LM; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Muñoz DA; Department of Mathematics, National University of Colombia, Medellín, 050034, Colombia.
  • Domínguez A; ISGlobal, Barcelona, 08003, España, Spain; Universitat Pompeu Fabra (UPF), Barcelona, 08003, Spain; CIBER Epidemiology and Public Health (CIBERESP), Spain.
  • Molina F; Environmental School, School of Engineering, Universidad de Antioquia UdeA, Medellin, 050010, Colombia.
  • Ramos CD; Environmental School, School of Engineering, Universidad de Antioquia UdeA, Medellin, 050010, Colombia.
  • Morales-Betancourt R; School of Engineering, Universidad de los Andes, Bogotá, 111711, Colombia.
  • Hincapié R; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Rodríguez-Villamizar L; Department of Public Health, School of Medicine, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia.
  • Rojas Y; School of Engineering, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia.
  • Morales O; School of Medicine, Pediaciencias Group, Universidad de Antioquia, Noel Clinic Medellin, 050010, Colombia; Department of Pediatrics, Hospital San Vicente Fundación, Medellín, 050010, Colombia.
  • Cuellar M; School of Medicine, Pediaciencias Group, Universidad de Antioquia, Noel Clinic Medellin, 050010, Colombia; Department of Pediatrics, SOMER Clinic, Medellín, Colombia.
  • Corredor A; Department of Pediatrics, ONIROS Centro Especializado en Medicina Integral del Sueño, Bogotá, Colombia.
  • Villamil-Osorio M; Department of Pediatrics, Fundación Hospital Pediátrico la Misericordia, Bogotá, Colombia.
  • Bejarano MA; Santa María del Lago Clinic, Roosvelt Institute, Bogota, Colombia.
  • Vidal D; Department of Pediatrics, Hospital Universitario San José, Popayán, 190003, Colombia.
  • Narváez DM; Human Genetics Laboratory, Universidad de los Andes, Bogotá, 111711, Colombia.
  • Groot H; Human Genetics Laboratory, Universidad de los Andes, Bogotá, 111711, Colombia.
  • Builes JJ; Department of Paternity Testing. GENES Laboratory, Medellín, 050024, Colombia.
  • López L; School of Medicine, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Henao EA; Secretariat of Health, Medellin Mayor's Office, Medellin, 050015, Colombia.
  • Lopera V; Secretariat of Health, Medellin Mayor's Office, Medellin, 050015, Colombia.
  • Hernández LJ; School of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.
  • Bangdiwala SI; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, L8S 4K1, Canada; Statistics Department, Population Health Research Institute, McMaster University, Hamilton, ON, L8L 2X2, Canada.
  • Marín-Ochoa B; School of Social Sciences, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Oviedo AI; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Sánchez-García OE; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Toro MV; School of Engineering, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia.
  • Riaño W; School of Medicine, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia; School of Medicine, Pediaciencias Group, Universidad de Antioquia, Noel Clinic Medellin, 050010, Colombia.
  • Rueda ZV; School of Medicine, Universidad Pontificia Bolivariana, Medellín, 050034, Colombia; Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3E 0J9, Canada.
Environ Res ; 252(Pt 3): 118913, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38643821
ABSTRACT
Exposome studies are advancing in high-income countries to understand how multiple environmental exposures impact health. However, there is a significant research gap in low- and middle-income and tropical countries. We aimed to describe the spatiotemporal variation of the external exposome, its correlation structure between and within exposure groups, and its dimensionality. A one-year follow-up cohort study of 506 children under 5 in two cities in Colombia was conducted to evaluate asthma, acute respiratory infections, and DNA damage. We examined 48 environmental exposures during pregnancy and 168 during childhood in eight exposure groups, including atmospheric pollutants, natural spaces, meteorology, built environment, traffic, indoor exposure, and socioeconomic capital. The exposome was estimated using geographic information systems, remote sensing, spatiotemporal modeling, and questionnaires. The median age of children at study entry was 3.7 years (interquartile range 2.9-4.3). Air pollution and natural spaces exposure decreased from pregnancy to childhood, while socioeconomic capital increased. The highest median correlations within exposure groups were observed in meteorology (r = 0.85), traffic (r = 0.83), and atmospheric pollutants (r = 0.64). Important correlations between variables from different exposure groups were found, such as atmospheric pollutants and meteorology (r = 0.76), natural spaces (r = -0.34), and the built environment (r = 0.53). Twenty principal components explained 70%, and 57 explained 95% of the total variance in the childhood exposome. Our findings show that there is an important spatiotemporal variation in the exposome of children under 5. This is the first characterization of the external exposome in urban areas of Latin America and highlights its complexity, but also the need to better characterize and understand the exposome in order to optimize its analysis and applications in local interventions aimed at improving the health conditions and well-being of the child population and contributing to environmental health decision-making.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Exposición a Riesgos Ambientales / Exposoma Límite: Child, preschool / Female / Humans / Male / Pregnancy País/Región como asunto: America do sul / Colombia Idioma: En Revista: Environ Res / Environ. res / Environmental research Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Exposición a Riesgos Ambientales / Exposoma Límite: Child, preschool / Female / Humans / Male / Pregnancy País/Región como asunto: America do sul / Colombia Idioma: En Revista: Environ Res / Environ. res / Environmental research Año: 2024 Tipo del documento: Article