Evidence map›Paper›PMID 36622522›Full record

ArticleBiological trace element research2023

Deterministic and Probabilistic Health Risk Assessment of Toxic Metals in the Daily Diets of Residents in Industrial Regions of Northern Ningxia, China.

Yan Wang, Deyan Cao, Jiaqi Qin, Siyuan Zhao, Jianzai Lin, Xi Zhang, Junji Wang, Meilin Zhu

Open access · hybridAbstract read
In one paragraph

Article in Biological trace element research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Yan WangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Deyan CaoSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Jiaqi QinSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Siyuan ZhaoSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Jianzai LinSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Xi ZhangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Junji WangSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
Meilin ZhuSchool of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China. jay70281@163.com.
Ningxia Medical University · CN

Funding

The Ministry of Education 'ChunHui' plan project Z2016068The National Natural Science Foundation of China 21966025The Ningxia Key Research and Development Program 2019BFG02020
6 · The paper itself

Abstract

This study was designed to investigate the toxic metal (aluminum (Al), arsenic (As), chromium (Cr), cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn)) concentrations in drinking water and different foodstuffs meat (pork, beef, and mutton), cereals (rice, flour, corn, millet), beans (cowpeas, tofu), potatoes (potato, sweet potato), solanaceous fruits (pepper, eggplant, bitter gourd, cucumber), vegetables (cabbage, cauliflower, spinach), and fruits (apples, watermelons, pears, grapes)) and then estimate the potential health risks of toxic metal consumption to local residents in industrial regions of northern Ningxia, China. As in drinking water, Cr in meat, Pb in cereals, Pb in beans, As and Pb in potatoes, Pb in solanaceous fruits, Cr and Ni in vegetables, and Ni and Pb in fruits were the most contaminated heavy metals in the corresponding food with over-standard rates of 16.7%, 12.5%, 5.1%, 60%, 50%, 50%, 38.2%, 44.4%, 44.4%, 31.8%, and 31.8%, respectively.The results of the deterministic assessment of health risks showed that the total noncarcinogenic risk value of dietary intake of toxic metals by the local population was 5.6106, indicating that toxic metals pose a high noncarcinogenic risk. The order of the non-carcinogenic risk is HI

Indexed as

ArsenicDrinking WaterFabaceaeMetals, HeavySoil PollutantsAnimalsCattleChinaChromiumDietEdible GrainEnvironmental MonitoringHumansLeadNickelRisk AssessmentArsenicChromiumDrinking WaterLeadMetals, HeavyNickelSoil PollutantsDietary intakeHealth risk assessmentMonte Carlo simulationToxic metals

Identifiers

PMID36622522
PMCPMC10350440
OpenAlexW4313825809

What OpenQuestion holds

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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 OpenQuestion graph.