ArticleEnvironmental geochemistry and health2019
An integrated study of health, environmental and socioeconomic indicators in a mining-impacted community exposed to metal enrichment.
Article in Environmental geochemistry and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Assessing environmental health aspects of environmental justice in communities living in industrially contaminated areas: An international network to share approaches and experiences.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Article
- Toward sustainability and resilience in Chilean cities: Lessons and recommendations for air, water, and soil issues.Heliyon · 2023Article
- Probabilistic risk assessment of residential exposure to metal(loid)s in a mining impacted community.The Science of the total environment · 2023Article
- Socio-environmental conflict over abandoned mining waste in Copaquilla, Chile.Environmental science and pollution research international · 2021Article
- Environmental Health Risk Perception: Adaptation of a Population-Based Questionnaire from Latin America.International journal of environmental research and public health · 2021Article
- A Positive Relationship between Exposure to Heavy Metals and Development of Chronic Diseases: A Case Study from Chile.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
The occurrence of toxic metals and metalloids associated with mine tailings is a serious public health concern for communities living in mining areas. This work explores the relationship between metal occurrence (e.g., spatial distribution in street dusts), human health indicators (e.g., metals in urine samples, lifestyle and self-reported diseases) and socioeconomic status (SES) using Chañaral city (in northern Chile) as study site, where a copper mine tailing was disposed in the periurban area. This study model may shed light on the development of environmental and health surveillance plans on arid cities where legacy mining is a sustainability challenge. High concentrations of metals were found in street dust, with arsenic and copper concentrations of 24 ± 13 and 607 ± 911 mg/kg, respectively. The arsenic concentration in street dust correlated with distance to the mine tailing (r = - 0.32, p-value = 0.009), suggesting that arsenic is dispersed from this source toward the city. Despite these high environmental concentrations, urinary levels of metals were low, while 90% of the population had concentrations of inorganic arsenic and its metabolites in urine below 33.2 µg/L, copper was detected in few urine samples (< 6%). Our results detected statistically significant differences in environmental exposures across SES, but, surprisingly, there was no significant correlation between urinary levels of metals and SES. Despite this, future assessment and control strategies in follow-up research or surveillance programs should consider environmental and urinary concentrations and SES as indicators of environmental exposure to metals in mining communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.