Evidence map›Paper›PMID 38596075›Full record

ArticleHeliyon2024

Spatio-temporal distribution of cadmium levels in Chinese population and its potential risk factors.

Xinglin Zhang, Tsendmaa Bold, Wenjing Zhang, Qianwen Zhao, Yanting Li, Jianzhong Zhang, Lin Lu, Xiaoya Ji, Lin Zhang, Yuan Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 1 institution in 1 country.

Xinglin ZhangClinical Medical Research Center for Women and Children Diseases, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan 250001, China.
Tsendmaa BoldDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Wenjing ZhangDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Qianwen ZhaoDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Yanting LiDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Jianzhong ZhangDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Lin LuDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Xiaoya JiDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Lin ZhangClinical Medical Research Center for Women and Children Diseases, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan 250001, China.
Yuan JinDepartment of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
Jinglong TangClinical Medical Research Center for Women and Children Diseases, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan 250001, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cadmium (Cd), a ubiquitous heavy metal, exists in numerous environmental matrices and has severe adverse effects on various human organs and tissues. This research evaluates blood and urine Cd levels in the Chinese population through data mining using Monte Carlo simulation (MCS). A total of 168 scientific studies (120 on urine and 48 on blood) published between January 1980 and December 2020, reflecting a population of 109,743 individuals in China, were included in the study. The results indicate that the blood and urine Cd levels in the Chinese population exhibited a peak from 1990 to 1995 and remained stable after 1995, averaging 1.21 μg/L of blood Cd (BCd) and 0.61 μg/L of urine Cd (UCd). The spatial trend of Cd levels varied significantly. Shandong, Zhejiang, Heilongjiang, and Guangdong provinces were identified as the top provinces with high Cd levels, which were related to factors such as tobacco sales, E-waste amounts, and contaminated rice. Additionally, the study highlights that BCd concentrations are highest among preschool-aged individuals, whereas school-age and adolescent groups exhibit the lowest levels. However, no significant difference existed among the different age groups. Males showed significantly higher Cd levels than females in the general population. Moreover, exposure to smoking, drinking, and staple food preferences had an impact on Cd levels. Furthermore, this comprehensive study, using biological monitoring and data mining, provides valuable information on Cd pollution levels in the Chinese population. It presents a statistical analysis that can aid decision-makers in implementing effective measures to control potential Cd pollution and improve the health of vulnerable populations.

Indexed as

Blood cadmiumCadmium exposureChinese populationMonte Carlo simulationUrine cadmium

Identifiers

PMID38596075
PMCPMC11002678
OpenAlexW4393321685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.