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1.
Sci Rep ; 14(1): 13464, 2024 06 12.
Artigo em Inglês | MEDLINE | ID: mdl-38866845

RESUMO

Environmental exposure to heavy metals and metalloids, originating from sources such as mining and manufacturing activities, has been linked to adverse renal effects. This cross-sectional study assessed children's exposure to these elements and its association with urinary kidney injury molecule-1 (KIM-1). We analyzed data from 99 school-aged children residing in nine localities within the state of Colima, Mexico, during the latter half of 2023. Levels of 23 metals/metalloids and urinary KIM-1 were measured using inductively coupled plasma mass spectrometry (ICP-MS) and enzyme-linked immunosorbent assay, respectively. Detectable levels of these contaminants were found in over 91% of participants, with varied exposure profiles observed across locations ( p = 0.019). After adjusting for confounding factors like gender, age, and locality, higher levels of six metals/metalloids (boron, cadmium, cesium, lithium, selenium, zinc) were significantly associated with increased KIM-1 levels. Tailored mitigation efforts are crucial to protect children from regional pollutant burdens. However, limitations exist, as our study did not capture all potential factors influencing heavy metal/metalloid and KIM-1 levels.


Assuntos
Exposição Ambiental , Receptor Celular 1 do Vírus da Hepatite A , Metais Pesados , Humanos , Criança , Feminino , Masculino , Estudos Transversais , Receptor Celular 1 do Vírus da Hepatite A/metabolismo , Receptor Celular 1 do Vírus da Hepatite A/análise , Metais Pesados/análise , Metais Pesados/urina , Exposição Ambiental/análise , Exposição Ambiental/efeitos adversos , México , Metaloides/urina , Metaloides/análise , Poluentes Ambientais/análise , Poluentes Ambientais/urina , Adolescente
2.
Artigo em Inglês | MEDLINE | ID: mdl-33923602

RESUMO

BACKGROUND: Dengue fever is one of the most important arboviral diseases. Surface temperature versus dengue burden in tropical environments can provide valuable information that can be adapted in future measurements to improve health policies. METHODS: A methodological approach using Daymet-V3 provided estimates of daily weather parameters. A Python code developed by us extracted the median temperature from the urban regions of Colima State (207.3 km2) in Mexico. JointPoint regression models computed the mean temperature-adjusted average annual percentage of change (AAPC) in disability-adjusted life years (DALY) rates (per 100,000) due to dengue in Colima State among school-aged (5-14 years old) children. RESULTS: Primary outcomes were average temperature in urban areas and cumulative dengue burden in DALYs in the school-aged population. A model from 1990 to 2017 medium surface temperature with DALY rates was performed. The increase in DALYs rate was 64% (95% CI, 44-87%), and it seemed to depend on the 2000-2009 estimates (AAPC = 185%, 95% CI 18-588). CONCLUSION: From our knowledge, this is the first study to evaluate surface temperature and to model it through an extensive period with health economics calculations in a specific subset of the Latin-American endemic population for dengue epidemics.


Assuntos
Dengue , Tecnologia de Sensoriamento Remoto , Adolescente , Criança , Pré-Escolar , Dengue/epidemiologia , Humanos , México , Anos de Vida Ajustados por Qualidade de Vida , Temperatura
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