Determination of toxic metal burden and related risk factors in pregnant women: a biological monitoring in Sabzevar, Iran.
Mojtaba HadavifarEsmail MohammadniaSahar RasaeifarHamid Heidarian MiriMitra RastakhizBehnaz SouviziMohammad Mohammad-ZadehRahim AkramiAli KazemiPublished in: Environmental science and pollution research international (2022)
Nowadays, the adverse effect of toxic metals on humans is well known, especially in the fetal period such as preventing cognitive development and congenital abnormalities of the central nervous system. Hence, this study aims to evaluate the toxic metal burden in mothers and newborns in Sabzevar. Obtained data can be useful for authorities in public health issues. To determine heavy metals in placental blood and umbilical cord blood, one hundred eighty blood samples were taken from ninety mothers referred to Shahidan Mobini Hospital for delivery. The amount of metals in samples was analyzed using inductively coupled plasma optical emission spectrometry (ICP OES). The results of this study revealed that 21.52%, 26.19%, and 60.71% of maternal blood samples (placental blood) and 16.47%, 56.47%, and 20% of umbilical cord blood samples were higher than the US center for disease control (CDC) recommended levels for Pb, Cd, and As respectively. According to the multiple linear regression analysis, the Pb (p = 0.054), As (p < 0.001), and Se (p < 0.001) levels had an association with the mother's living area. Also, there was a significant association between Se (0.021) and the age of the mother. However, the Se values in its optimum concentrations in the blood (60-140 μg/L) can decrease the adverse effects of toxic metals, 72.5% of the pregnant women had Se values below the 60 μg/L and only 6% of pregnant women had Se levels higher than 140 μg/L. We concluded that the mothers inhabiting the rural areas need more Se sources in their diets.
Keyphrases
- pregnant women
- umbilical cord
- heavy metals
- mesenchymal stem cells
- risk factors
- public health
- healthcare
- health risk assessment
- high resolution
- risk assessment
- machine learning
- weight loss
- physical activity
- cell cycle
- preterm infants
- single cell
- drug induced
- cord blood
- gestational age
- birth weight
- liquid chromatography
- cerebrospinal fluid
- molecularly imprinted