Associations between environmental heavy metal exposure and childhood asthma: A population-based study

Wu, Keh-Gong; Chang, Chia‐Yuan; Yen, Chun-Yu; Lai, Cheng-Jung

doi:10.1016/j.jmii.2018.08.001

Cited by 60 publications

(40 citation statements)

References 39 publications

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“…Inhaled PM induces oxidative stress leading to inflammatory responses in the airways and bronchial hyperreactivity and metal fumes are well-recognised causes of occupational asthma, but the contribution of metal dusts to nonoccupational asthma is less obvious. High blood Pb is correlated with having asthma in children, but the meaning is unclear [107]. Other diseases linked to metal exposures (with or without air pollution) include chronic neurological disorders such as Parkinsonism and Alzheimer's disease (including Al, Cu, Mn,) [11•], renal and liver disorders ( Table 2).…”

Section: Health Outcomes and Responsementioning

confidence: 99%

Metalliferous Mine Dust: Human Health Impacts and the Potential Determinants of Disease in Mining Communities

et al. 2019

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Purpose of Review Many factors influence the health impact of exposure to metalliferous mine dusts and whilst the underpinning toxicology is pivotal, it is not the only driver of health outcomes following exposure. The purpose of this review is twofold: (i) to highlight recent advances in our understanding of the hazard posed by metalliferous mine dust and (ii) to broaden an often narrowly framed health risk perspective to consider the wider aetiology of the potential determinants of disease. Recent Findings The hazard posed by metalliferous dusts depends not only on their abundance and particle size but other properties such as chemical composition, solubility, shape, and surface area, which all play a role in the associated health effects. A better understanding of the mechanisms that lead to toxicity, such as recent advances in our understanding of the role played by reactive oxygen species (ROS), can help in the development of improved in vitro models to support risk assessments, whilst biomonitoring studies have the potential to guide risk management decisions for mining communities. Summary Environmental exposures are complex; complex geochemically and complex geographically. Research linking the environment to human health is starting to mature, highlighting the subtlety of multiple exposures, mixtures of substances, and the cumulative legacy effects of life in disrupted and stressed environments. We are evolving more refined biomarkers to identify these responses, which enhances our appreciation of the burden of effects on society and also directs us to more sophisticated risk assessment approaches to adequately address evolving regulatory and societal needs.

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Section: Health Outcomes and Responsementioning

confidence: 99%

Metalliferous Mine Dust: Human Health Impacts and the Potential Determinants of Disease in Mining Communities

et al. 2019

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“…Heavy metals that enter the human body through chronic exposure are very difficult to metabolize or decompose, so they accumulate in all tissues and organs over the years and exert chronic damage to the body when they reach a certain threshold (Raehsler et al, 2018). Epidemiological investigations have shown that heavy metals can be detected in the blood, urine, hair, and nails of healthy and diseased people and that the content is correlated with severity of respiration diseases (Wu et al, 2018), cardiovascular diseases (Lamas et al, 2016), neurodegeneration (Bjorklund et al, 2018a;Ghazala et al, 2018;Iqbal et al, 2018) diseases, autism spectrum disorder (Bjorklund et al, 2018b), and obesity (Park et al, 2017;Shao et al, 2017;Wang et al, 2018). Great efforts have been made to reduce heavy metal pollution, but these efforts often have very limited effects (Bisanz et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

High-Fat Diet Affects Heavy Metal Accumulation and Toxicity to Mice Liver and Kidney Probably via Gut Microbiota

et al. 2020

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Previous studies proved that heavy metals could increase the risk of disease by acting on the gut microbiota. Meanwhile, gut microbiota played important roles in detoxifying heavy metals. However, the response of gut microbiota to heavy metals and which microbes dominated this detoxification processes are still unclear. This study investigated the difference of high-fat-diet (HFD) and normal-diet (ND) gut microbiota and their response to and detoxification effects on arsenic (As), cadmium (Cd), and lead (Pb) exposure. Results showed that gut microbiota of ND and HFD was significantly different and responded to As, Pb, and Cd exposure differently, too. When exposed to 100 ppm As, Cd, or Pb, HFD-fed mice accumulated more heavy metals in the liver and kidney along with more severe functional damage than NDfed mice, indicated by a more dramatic increase of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities and urinary total protein (TPU), urinary uric acid (UUA), and urinary creatinine (Ucrea) content. Among ND gut microbiota, relative abundance of Bacteroides, Lactobacillus, Butyricimonas, and Dorea was significantly increased by arsenic (As) exposure; relative abundance of Faecoccus and Lactobacillus was significantly increased by Cd exposure; relative abundance of Desulfovibrio, Plasmodium, and Roseburia were significantly increased by Pb exposure. However, among HFD gut microbiota, those microbes were not significantly changed. Bivariate association analysis found weak positive correlations between content of fecal excreted heavy metals and richness of total fecal microbiota as well as abundance of some of the heavy metal-enriched microbes. Our study concluded that HFD increased disease risk of heavy metal exposure probably via its gut microbiota which excreted less heavy metal through feces.

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“…A previous study that used age-stratified analysis showed that a higher concentration of lead in the blood was associated with a higher risk of asthma in younger individuals whilst active [35].…”

Section: Discussionmentioning

confidence: 95%

Health Problems Among Workers Who Recycle Electronic Waste in Southern Thailand

Decharat

Kiddee

2020

Osong Public Health Res Perspect

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This study evaluated the prevalence of adverse health effects among recycling facility workers, and described their socioeconomic situation, health symptoms and work characteristics. Methods: A cross-sectional study was conducted by interviewing 71 workers in 20 electronic waste (e-waste) recycling facilities in southern Thailand. Data were collected by questionnaire. Risk factors were evaluated using multiple logistic regression analysis. Results: Recycling facility workers with blurred vision were significantly associated with being male (p = 0.035), over 40 years old (p = 0.020), and having ≤ secondary school education (p = 0.017). Rash/ itching was associated with being male (p = 0.011), over 40 years (p = 0.018), having ≤ secondary school education (p = 0.012). not using a cloth mask (p = 0.019), not using gloves (p = 0.028), not washing hands before lunch (p = 0.005), not cleaning clothes daily (p = 0.025), and not having established ventilation systems in the place of work (p = 0.018). Hand-and-feet numbness were associated with being male (p = 0.025), and being over 40 years (p = 0.023). Headaches were associated with being male (p = 0.028). Conclusion: Personal hygiene is important for this occupational group, and it should be emphasized in education programs.

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Associations between environmental heavy metal exposure and childhood asthma: A population-based study

Abstract: Higher concentrations of blood lead are associated with higher odds of asthma in children aged 2-15 years.

Cited by 60 publications

References 39 publications

Metalliferous Mine Dust: Human Health Impacts and the Potential Determinants of Disease in Mining Communities

Metalliferous Mine Dust: Human Health Impacts and the Potential Determinants of Disease in Mining Communities

High-Fat Diet Affects Heavy Metal Accumulation and Toxicity to Mice Liver and Kidney Probably via Gut Microbiota

Health Problems Among Workers Who Recycle Electronic Waste in Southern Thailand

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