Evidence map›Paper›PMID 30612372›Full record

ArticleEnvironmental science and pollution research international2019

Levels and temporal variations of urinary lead, cadmium, cobalt, and copper exposure in the general population of Taiwan.

Kai-Wei Liao, Wen-Harn Pan, Saou-Hsing Liou, Chien-Wen Sun, Po-Chin Huang, Shu-Li Wang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Effects of Environmental Exposure to Cadmium and Lead on the Risks of Diabetes and Kidney Dysfunction.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Chronic Exposure to Lead and Cadmium in Residents Living Near a Zinc Smelter.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Kai-Wei LiaoNational Institute of Environmental Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli, 35035, Taiwan.
Wen-Harn PanInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Saou-Hsing LiouNational Institute of Environmental Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli, 35035, Taiwan.
Chien-Wen SunNational Institute of Environmental Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli, 35035, Taiwan.
Po-Chin HuangNational Institute of Environmental Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli, 35035, Taiwan. pchuang@nhri.org.tw.
Shu-Li WangNational Institute of Environmental Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli, 35035, Taiwan. slwang@nhri.org.tw.
National Health Research Institutes · TWNational Defense Medical Center · TW

Funding

National Health Research Institutes EH-102-PP-05National Health Research Institutes EH-103-PP-05National Health Research Institutes EM-105-PP-05National Health Research Institutes EM-105-PP-15National Health Research Institutes EM-105-SP-16National Health Research Institutes EM-106-PP12National Health Research Institutes EM-107-PP12National Health Research Institutes EO-99-SP-02
6 · The paper itself

Abstract

Toxic metal contamination in food products and the environment is a public health concern. Therefore, understanding human exposure to cadmium (Cd), lead (Pb), cobalt (Co), and copper (Cu) levels in the general population of Taiwan is necessary and urgent. We aimed to establish the human biomonitoring data of urine toxic metals, exposure profile changes, and factors associated with metal levels in the general population of Taiwan. We randomly selected 1601 participants older than 7 years of age (36.9 ± 18.7 years (7-84 years)) from the Nutrition and Health Survey in Taiwan (NAHSIT) conducted during 1993-1996 (93-96) and 2005-2008 (05-08) periods and measured the levels of four metals in the participants' urine samples using inductively coupled plasma-mass spectrometry. The median (range) levels of urinary Cd, Pb, Co, and Cu in participants from the NAHSIT 93-96 (N = 821)/05-08 (N = 780) were 0.60 (ND-13.90)/0.72 (ND-7.44), 2.28 (ND-63.60)/1.09 (0.04-48.88), 0.91 (0.08-17.30)/1.05 (0.05-22.43), and 16.87 (2.62-158.28)/13.66 (1.67-189.70) μg/L, respectively. We found that the urinary median levels of Pb and Cu in our participants were significantly lower in the NAHSIT 05-08 (Pb 1.09 μg/L, Cu 13.66 μg/L) than in the NAHSIT 93-96 (Pb 2.28 μg/L, Cu 16.87 μg/L; P < 0.01), whereas those of Cd and Co were significantly higher in the NAHSIT 05-08 (Cd 0.72 μg/L, Co 1.05 μg/L; P < 0.01). Youths had higher exposure levels of Pb, Co, and Cu than adults. Participants with alcohol consumption, betel quid chewing, or cigarette smoking had significantly higher median levels of urinary Pb or Cu (P < 0.01) than those without. Principal components and cluster analysis revealed that sex had different exposure profiles of metals. We concluded that levels of urinary Cd, Pb, Co, and Cu exposure in the general Taiwanese varied by age, sex, and lifestyles.

Indexed as

AdolescentAdultAgedAged, 80 and overAlcohol DrinkingCadmiumChildCobaltCopperEnvironmental ExposureEnvironmental MonitoringEnvironmental PollutantsFemaleHumansLeadLife StyleCadmiumCobaltCopperEnvironmental PollutantsLeadMetals, HeavyGeneral populationHuman biomonitoringMetalsTaiwanUrine

Identifiers

PMID30612372
OpenAlexW2907071827

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.