Evidence map›Paper›PMID 39698485›Full record

ArticleChina CDC weekly2024

Epidemiological Characteristics of Falls from the National Injury Surveillance System - China, 2019-2022.

Siyi Chen, Yuliang Er, Yuan Wang, Leilei Duan, Pengpeng Ye

Abstract read
In one paragraph

Article in China CDC weekly, 2024. 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
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  4. Classroom-embedded two-phase add-on program for fall-injury prevention in rural primary schools.Archives of public health = Archives belges de sante publique · 2026
    Article
  5. 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

5 authors.

Siyi ChenNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuliang ErNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuan WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Leilei DuanNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Pengpeng YeNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study describes and analyzes the distribution of fall cases documented in the National Injury Surveillance System (NISS) from 2019 to 2022. Methods: Fall data from the NISS (2019-2022) were descriptively analyzed by gender and age. Results: The NISS in China reported 2,324,577 fall cases from 2019 to 2022. Falls mostly happened at home (39.41%). Leisure activities (39.40%) were the most common cause of falls. Among these cases, 45.22% caused bruises, 31.57% lower limb injuries, while a substantial 73.41% constituted mild injuries. Age-related epidemiological patterns of falls revealed distinct trends. Among 0-9-year-olds, falls predominantly occurred at home (56.71%), with high head injury rates, particularly in infants (72.64%). Adolescents (10-19 years old) were prone to falls in school and school-related areas (37.12%) and during sports activities (27.37%). Elderly individuals (>60 years old) experienced higher fracture rates (36.84%) and an age-dependent increase in head injuries and severe harm. Conclusions: Falls are the most prevalent injury category, exhibiting distinct characteristics across age groups. To address this, tailored public health strategies and interventions are essential, particularly for children, adolescents, and adults aged 60 years and older. Effective early prevention and intervention methods are paramount for these high-risk fall populations.

Indexed as

Epidemic CharacteristicsFallInjurySurveillance

Identifiers

PMID39698485
PMCPMC11649984

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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.