Longzici Spring is an important water source for industry, agriculture, and urban life in Linfen City. With the improvements in public environmental health awareness, it is particularly necessary to study the health risk of posed by metal elements in groundwater. In this study, 43 groundwater samples from Longzici Spring area were analyzed for ten metal elements (As, Cd, Hg, Al, Pb, Co, Mn, Fe, Cu, and Ni). The distribution and health risk of these metal elements in the groundwater were studied using multivariate statistical analysis and a health risk assessment model. The results show that metal elements can be ranked, from high to low, by their average concentrations in groundwater in the following order: Fe, Al, Mn, Ni, As, Cu, Co, Pb, Hg, and Cd. The concentration of Al, Mn, Fe, and As exceed the limit for class Ⅲ water, as defined in the quality standard for groundwater (GB/T 14848-2017). Different types of groundwater in the spring area showed different metal contents. The quality of karst spring water was good, reaching the standard for drinking water, while mine drainage water exceeded the standard for drinking water, with the highest metal concentration (60%) and the worst water quality. Multivariate statistical results show that Pb, Ni, Co, Cd, Mn, and Cu concentrations were mainly affected by the geochemical background, while Al, Fe, Hg, and As concentrations were closely related to human mining activities under the unique geological background of Shanxi Province. The health risk assessment showed that the different types of groundwater could be ranked by the annual total health risks, posed by metal elements to adults and children through drinking water and skin infiltration, as follows: karst well > non-karst spring > non-karst well > karst spring. The health risks mainly came from drinking water, while health risks through skin infiltration would not cause obvious harm to the human body. The metal element causing the greatest health risk in spring groundwater was As, which should therefore be controlled in the utilization of water resources, especially in children's drinking water.
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http://dx.doi.org/10.13227/j.hjkx.202101204 | DOI Listing |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
College of Medicine, University of Central Florida, Orlando, Florida, USA.
Aims And Objectives: Approximately 50% of Americans report having low health insurance literacy, leading to uncertainty when choosing their insurance coverage to best meet their healthcare needs. Therefore, we aimed to evaluate the association between lack of prescription drug benefit knowledge and problems paying medical bills among Medicare beneficiaries.
Methods: We analysed the 2021 Medicare Current Beneficiary Survey Public Use File of 5586 Medicare beneficiaries aged ≥ 65 years.
J Eval Clin Pract
February 2025
Initiative for Slow Medicine, Berkeley, California, USA.
Appropriate patient reassurance is an essential feature of clinical practice. My recent experience as a patient, interpreted via my expertise as a health services researcher, led me to insights on ideal and suboptimal reassurance styles in the context of worrisome symptoms. Reassurance is complex: often poorly defined in the scientific literature, rarely rigorously studied, imperfectly understood, and requiring some adaptation to each patient situation.
View Article and Find Full Text PDFAm J Case Rep
December 2024
Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden.
BACKGROUND Limb-girdle muscular dystrophy recessive 1 (LGMDR1) is an autosomal recessive degenerative muscle disorder characterized by progressive muscular weakness caused by pathogenic variants in the CAPN3 gene. Desmoplastic small round cell tumors (DSRCT) are ultra-rare and aggressive soft tissue sarcomas usually in the abdominal cavity, molecularly characterized by the presence of a EWSR1::WT1 fusion transcript. Mouse models of muscular dystrophy, including LGMDR1, present an increased risk of soft tissue sarcomas.
View Article and Find Full Text PDFMed Care
November 2024
Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time.
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