ABSTRACT
Anthropogenic and natural sources contribute to chemical mixtures in air, water, and soil, posing potential risks to the environment and human health. To understand the interplay between element profiles in the human body, geographical location, and associated economic activities, we carried out an observational analytic cross-sectional study. The study recruited 199 participants from three municipalities, two of which had gold-mining as their primary economic activity, while the other was dedicated to agricultural and other local activities not related to mining. The concentrations of a total of 30 elements in human hair samples and 21 elements in environmental soil samples were measured using various spectrometry techniques. Unsupervised clustering analysis using Self-Organizing Maps was applied to human hair samples to analyze element concentrations. Distinct clusters of individuals were identified based on their hair element profiles, which were mapped to geographical location and economic activities. While higher levels of heavy metals (Ag, As, Hg, and Pb) were observed in individuals engaged in mining activities in certain clusters, individuals in agricultural areas show higher concentrations of elements found in pesticides (Ba and Sr). However, the elemental composition of hair is influenced not only by the anthropogenic activities but also by the inherent geological context where people live. Our findings highlight the significance of accounting for environmental factors when evaluating human health risks, as the intricate mixture of elements can yield valuable insights for targeted health interventions.
ABSTRACT
Studies have been published, and laboratories offer services of measuring elements in hair as biomarkers of environmental exposure and/or control of essential elements (trace or macro). These reported values can have only sense if compared with adopted reference values. In this work, we propose provisional reference values based on a pilot child population. The concentrations of 28 elements were measured in children's hair samples. An observational, descriptive, cross-sectional study was conducted in a typical child population in the Mediterranean region void of excessive pollution problems to analyze 419 hair samples of children aged 3-12 years. Children were selected by a simple random method from eight primary education schools in different municipal districts, which included urban, rural and industrial areas. Samples of around 100 mg were washed and acid digested by an optimized procedure. All measures were performed using ICP-MS with Sc, Y and Re as internal standards. The statistical analysis was performed by two approaches: (a) considering all the data and (b) without outliers (second-order atypical data) to compare them with other published studies. The distribution curves in all the elements studied were asymmetric and did not fit the theoretical normality distributions. Therefore, the analysis based on percentiles was more appropriate. In most elements, only slight differences were observed with sex or age, which did not justify proposing separate reference ranges. From the results of this study, provisional reference values are proposed following two criteria: (a) simple application of the table of percentiles built by removing outlier values and (b) values after a detailed analysis case-by-case, considering other data as the distribution profile and other published data of each element. Although the pilot sample was from a limited area, it was carefully selected to be representative of a general non-contaminated population. With this limitation, the proposed reference values might be useful for researchers and physicians until a wider geographical study is available for a large number of elements.
