Evidence map›Paper›PMID 38535902›Full record

ArticleToxics2024

Occurrence and Exposure Assessment of Nickel in Zhejiang Province, China.

Junde Han, Ronghua Zhang, Jun Tang, Jiang Chen, Chenyang Zheng, Dong Zhao, Jikai Wang, Hexiang Zhang, Xiaojuan Qi, Xiaoli Wu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

16 authors at 2 institutions in 1 country.

Junde HanZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Ronghua ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jun TangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jiang ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Chenyang ZhengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Dong ZhaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.ORCID 0000-0002-1356-7132
Jikai WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Hexiang ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Xiaojuan QiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Xiaoli WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Qin WengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jinping ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Faculty of Medicine, Hangzhou Normal University, Hangzhou 311121, China.
Jiaolan DuDepartment of Epidemiology and Health Statistics, School of Public Health, Faculty of Medicine, Hangzhou Normal University, Hangzhou 311121, China.
Min ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Faculty of Medicine, Hangzhou Normal University, Hangzhou 311121, China.
Yinyin WuDepartment of Epidemiology and Health Statistics, School of Public Health, Faculty of Medicine, Hangzhou Normal University, Hangzhou 311121, China.
Biao ZhouZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Zhejiang Center for Disease Control and Prevention · CNHangzhou Normal University · CN

Funding

National Health Commission Scientific Research Projects WKJ-ZJ-1917
6 · The paper itself

Abstract

Nickel (Ni) is a silver-white metal with high antioxidative properties, often existing in a bivalent form in the environment. Despite being the fifth most abundant metal on Earth, anthropogenic activities, including industrial processes, have elevated Ni levels in environmental media. This study investigated Ni contamination in various food groups in Zhejiang Province, China, mainly focusing on Ni levels in beans, vegetables, aquatic foods, meat products, cereal products, and fruits. A total of 2628 samples were collected and analyzed. Beans exhibited the highest Ni content in all samples. The overall detection rate of Ni was 86.5%, with variation among food categories. For plant-origin foods, legumes had the highest Ni concentration while for animal-origin foods, shellfish showed the highest median Ni concentration. The results indicate generally acceptable Ni exposure levels among Zhejiang residents, except for children aged 0-6. Beans were identified as the primary contributor to high Ni exposure risk. The paper suggests monitoring Ni contamination in food, especially for vulnerable populations, and provides insights into exposure risks in different age groups.

Indexed as

contaminationdietary exposurefood safetyNickelrisk assessmentZhejiang Province

Identifiers

PMID38535902
PMCPMC10975410
OpenAlexW4392030178

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.