Evidence map›Paper›PMID 31708510›Full record

ArticleJournal of epidemiology2020

Comparison of Intentional and Unintentional Injuries Among Chinese Children and Adolescents.

Xiling Yin, Deyun Li, Kejing Zhu, Xiaodong Liang, Songxu Peng, Aijun Tan, Yukai Du

Abstract readComparative Study
In one paragraph

Article in Journal of epidemiology, 2020. 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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Features of unintentional injury in children under the impact of coronavirus disease 2019].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. A Study on Epidemiology of Unintentional Childhood Injury at One of the Districts of Gujarat State: An Indian Council of Medical Research Task Force Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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.

Xiling YinDepartment of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.ORCID http://orcid.org/0000-0002-1330-8202
Deyun LiZhuhai Center of Disease Control and Prevention.ORCID http://orcid.org/0000-0001-7328-1390
Kejing ZhuZhuhai Center of Disease Control and Prevention.ORCID http://orcid.org/0000-0002-3220-2788
Xiaodong LiangZhuhai Center of Disease Control and Prevention.ORCID http://orcid.org/0000-0001-7082-4855
Songxu PengDepartment of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.ORCID http://orcid.org/0000-0003-1713-4120
Aijun TanZhuhai Center of Disease Control and Prevention.ORCID http://orcid.org/0000-0002-2509-8118
Yukai DuDepartment of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.ORCID http://orcid.org/0000-0001-5959-979X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe patterns and risk factors of intentional injuries compared to unintentional injuries among Chinese children and adolescents have not been examined in depth. This work comprehensively describes patterns of intentional injuries in China, for which little information has been previously published.

methodsAll cases involving individuals 0-17 years old registered at emergency rooms and outpatient clinics were examined using data submitted to the National Injury Surveillance System from 2006 through 2017. A logistic regression model was performed to explore the risk factors related to intentional injuries compared to unintentional injuries.

resultsA total of 81,459 (95.1%) unintentional injuries, 4,218 (4.9%) intentional injuries (4,013 violent attacks and 205 self-mutilation/suicide) cases were identified. Blunt injuries accounted for 59.4% of violent attacks, while cuts and poisoning accounted for 37.1% and 23.4% of injuries involving self-mutilation/suicide, respectively. For unintentional injuries, falls (50.4%) ranked first. Additional risk factors for intentional injuries included being male (odds ratio [OR] 1.6), coming from rural areas (OR 1.9), being staff or workers (OR 2.2), and being a student (OR 1.8). As the age of the patients increased, so did the risk of intentional injuries (OR 5.0 in the 15-17 age group). Intentional injuries were more likely to occur at 00:00-03:00 am (OR 2.0).

conclusionsIntentional injuries affected more males, rural and older children, school students, and staff or workers. The mechanisms and occurrence times differed according to age group. Preventive measures should be taken to reduce the dropout of rural students, strengthen the school's violence prevention plan, and reduce self-harm.

Indexed as

AdolescentAge DistributionCause of DeathChildChild, PreschoolChinaCrime VictimsFemaleHumansInfantInfant, NewbornMalePopulation SurveillanceRural PopulationSelf MutilationSex DistributionadolescentchildrenChinaintentional injuryself-mutilationsuicideunintentional injuryviolent attacks

Identifiers

PMID31708510
PMCPMC7661334

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.