Evidence map›Paper›PMID 30708979›Full record

ArticleInternational journal of environmental research and public health2019

Left-Behind Children and Risk of Unintentional Injury in Rural China-A Cross-Sectional Survey.

Sha Ma, Minmin Jiang, Feng Wang, Jingjing Lu, Lu Li, Therese Hesketh

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

6 authors.

Sha MaThe Institute of Social and Family Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. masha.1987@163.com.
Minmin JiangThe Institute of Social and Family Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. jiangm@zjnu.edu.cn.
Feng WangThe Institute of Social and Family Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. wangfeng1990@zju.ed.cn.
Jingjing LuThe Institute of Social and Family Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. jingjinglu@zju.edu.cn.
Lu LiThe Institute of Social and Family Medicine, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. lilu@zju.edu.cn.
Therese HeskethThe Centre for Global Health, Zhejiang University School of Medicine, 866 Yuhangtang Lu, Hangzhou 310012, China. t.hesketh@zju.edu.cn.

Funding

Economic and Social Research Council ES/L003619/1.
6 · The paper itself

Abstract

Unintentional injury is the leading cause of childhood death and disability in many countries worldwide. This study aimed to quantify rates and risk factors for childhood unintentional injury in areas of rural China, where many children are left behind by migrant worker parents. We administered a questionnaire to children aged 9 to 15, in 56 schools in five counties in Zhejiang and Guizhou provinces. Of the 3791 respondents, 44% lived with both parents, 23% with one parent, and 33% with neither. Around half the children (47.9%) had suffered at least one unintentional injury in the past year, with burns (26%), animal bites (20%) and mechanical injury (18%) the most common. Left-behind children had no increased risk of unintentional injury, but children living in poorer Guizhou (

Indexed as

Child HealthRural HealthAdolescentChildChinaCross-Sectional StudiesFemaleHumansMaleRisk FactorsSurveys and QuestionnairesWounds and InjuriesChinaenvironmentleft-behind childrenunintentional injury

Identifiers

PMID30708979
PMCPMC6388167

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.