Evidence map›Paper›PMID 29649165›Full record

ArticleInternational journal of environmental research and public health2018

Use of a Survey to Assess the Environmental Exposure and Family Perception to Lead in Children (<6 Years) in Four Valley Cities, Northwestern China.

Xuemeng Sun, Xiaoping Li, Dongying Liu, Tao Yang, Yanan Zhao, Ting Wu, Yue Cai, Yuwei Ai, Xu Zhang, Jiwen Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 2 institutions in 2 countries.

Xuemeng SunDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. sunxuemeng@snnu.edu.cn.
Xiaoping LiDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. leexpok@163.com.ORCID 0000-0002-9702-8127
Dongying LiuDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. liu_dongying@yeah.net.
Tao YangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. yangfan2288@163.com.
Yanan ZhaoDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. zhaoyanan@snnu.edu.cn.
Ting WuDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. lanmiao0913@snnu.edu.cn.
Yue CaiDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. caiyue@snnu.edu.cn.
Yuwei AiDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. aiyuwei@snnu.edu.cn.
Xu ZhangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. zhangxu_00@snnu.edu.cn.
Jiwen WangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. kc2301wangjiwen@snnu.edu.cn.
Rui YangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710062, China. yangrui1258@163.com.
Hongtao YuInternational Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-Environmental Health, Xi'an 710062, China. hongtao.yu@morgan.edu.
Howard W MielkeDepartment of Pharmacology, Environmental Signaling Laboratory, Tulane University School of Medicine, 1430 Tulane Avenue SL-8683, New Orleans, LA 70112, USA. hmielke@tulane.edu.ORCID 0000-0002-0979-3807
Xi'an International Studies University · CNTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growth of industry, the extensive use of lead, and urban expansion in Northwestern Valley Cities (NVC) China, there is probable reason for presuming an increasing risk of lead exposure. However, little is known about the lead exposure of children less than 6 years old in NVC. As a first investigation, this study uses a survey to systematically determine the influences of various risk factors within the family environment, parents' background, children's behavior, mother's behavior during pregnancy, and parental perception about children's blood lead (CBL). A total of 596 families were recruited from the general population in Urumqi, Lanzhou, Xining and Yan'an. Parents, and their children (<6 years old), were asked about the environment and behaviors which could possibly relate with lead exposure. The results indicated that in the typical NVC of China, children's environment and behavior, parents' education level, and mother's pregnancy behavior, were associated with potential CBL. It was noted that not all parents in NVC China recognized the importance of children's lead exposure. Therefore, children's health care and medical screening campaigns need to be designed to improve family's fundamental knowledge of lead hazards, associated health effects, and prevention in the NVC of China.

Indexed as

Child BehaviorChild HealthChild, PreschoolChinaCitiesEnvironmental ExposureFemaleHumansInfantInfant, NewbornLeadMaleParentsPregnancyPrenatal Exposure Delayed EffectsRisk FactorsLeadbehaviors and habitschildren’s blood leadfamilylead exposuresparent perceptionvalley cites

Identifiers

PMID29649165
PMCPMC5923782
OpenAlexW2797694110

What OpenQuestion 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 OpenQuestion graph.