Evidence map›Paper›PMID 24331162›Full record

ArticleAnnals of epidemiology2014

Unintentional injuries among Chinese children with different types and severity of disability.

Huiping Zhu, Huiyun Xiang, Xin Xia, Xia Yang, Dan Li, Lorann Stallones, Yukai Du

Abstract read
In one paragraph

Article in Annals of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Deliberate Self-Harm Among Chinese Children with Different Types and Severity of Disabilities.International journal of environmental research and public health · 2019
    Article
  5. Article
  6. Review
  7. 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

7 authors.

Huiping ZhuDepartment of Maternal and Child Health, Center for Injury Research, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Epidemiology and Statistics, School of Public Health, Capital Medical University, Beijing, China.
Huiyun XiangCenter for Injury Research and Policy, The Research Institute at Nationwide Children's Hospital, The Ohio State University, Columbus. Electronic address: Huiyun.Xiang@nationwidechildrens.org.
Xin XiaHubei Province Center for Disease Control and Prevention (CDC), Wuhan, Hubei, China.
Xia YangHubei Disabled Persons' Federation, Wuhan, China.
Dan LiWuhan Linjie Health Center, Wuhan, China.
Lorann StallonesDepartment of Psychology, Colorado Injury Control Research Center, Colorado State University, Fort Collins.
Yukai DuDepartment of Maternal and Child Health, Center for Injury Research, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

USA-China Agricultural Injury Research Training ProjectD43TW007257 · FIC · COLORADO STATE UNIVERSITY · PI STALLONES, LORANN · 2007 to 2011
$719k
FIC NIH HHS 1D43TW007257-01A2FIC NIH HHS D43 TW007257
6 · The paper itself

Abstract

purposeLittle research has been done in China to study injury in individuals with disability. We investigated the impact of type and severity of disability on injury among children with disability in Hubei Province of China.

methodsA sample of 1201 children with disability were matched with 1201 healthy children on gender, age, and neighborhood. Disability type and severity were determined using the Chinese national standards. Caregivers were interviewed face-to-face about nonfatal unintentional injuries suffered by the child in the past 12 months before the interview. Univariate χ(2) test and logistic regression models were used to investigate association between disability type/severity and nonfatal unintentional injuries.

resultsInjury rate among children with disability was significantly higher than that among children without disability (10.2% vs. 4.4%; P < .001). Children with multiple disabilities had the highest risk of injury after controlling for confounding variables (odds ratio, 4.54; 95% confidence interval, 2.82-7.30; P < .001). The magnitude of the association between disability and injury varied by type and severity of disability.

conclusionsThe magnitude of the association between the presence or absence of disability in children and their risk of injury was large and significant, regardless of the type or severity of the children's disabilities.

Indexed as

Accidental FallsAccidentsAdolescentAsian PeopleCase-Control StudiesChildChild, PreschoolChildren with DisabilitiesChinaDisability EvaluationFemaleHumansInfantLogistic ModelsMalePrevalenceChildrenChinaDisabilityUnintentional injury

Identifiers

PMID24331162
PMCPMC3897222

What OpenQuestion holds

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Registered trials

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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.