Evidence map›Paper›PMID 32601906›Full record

ArticleEnvironmental geochemistry and health2020

Risk assessment of lead intake via food among residents in the mining areas of Nandan County, China.

Yunxia Zhang, Bo Song, Rui Pang, Lang Zhou

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Yunxia ZhangColleges of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
Bo SongColleges of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China. songbo@glut.edu.cn.
Rui PangColleges of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
Lang ZhouColleges of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
Guilin University of Technology · CN

Funding

National Natural Science Foundation of China 41261082
6 · The paper itself

Abstract

This study studied the dietary structure, lead (Pb) contents and exposure of the diets of the residents in the mining-affected areas of Nandan County in summer (July to August) and winter (November to December). The weighing method and the Chemical Analysis Method were applied to determine the daily intake amount of trace element Pb in the diets of the residents in the mining-affected areas and a contrast area, and subsequently estimated the Pb exposure of the diets of the residents. Based on the Provisionally Tolerable Weekly Intake (PTWI) and Margin of Exposure (MoE), the risk of Pb poisoning driven by the dietary intake of the residents in the study areas was determined. Among the food types, rice and rice products, vegetables, meat and meat products were the major contributing factors. In the mining-affected areas, Pb contents in meat and meat products ranked the top (2.47 μg/g) among the food types. The Pb contents in rice and rice products, vegetables, and meat and meat products in the mining-affected areas were significantly different from those in the contrast area. The average intake amounts of Pb in all kinds of food of the residents in the mining-affected areas (Chehe Town, Dachang Town and Zhanglao Town) were 958.6 µg/d, 1178 µg/d and 813.7 µg/d, respectively. According to the MoE method, current study confirmed high health risk due to Pb contamination in the diets of the residents in these mining-affected areas. From the dietary contribution rate perspective, meat was the main source of Pb intake of the residents in the mining-affected areas. To reduce the health risk induced by excessive Pb exposure in the dietary intake, local residents should consume more fish and grains instead of meat.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaDietary ExposureFeeding BehaviorFemaleFood ContaminationHumansLeadMaleMeatMiddle AgedMiningNo-Observed-Adverse-Effect LevelLeadDietary investigationsExposure evaluationFood safetyLead

Identifiers

PMID32601906
OpenAlexW3039506096

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.