Evidence map›Paper›PMID 36403065›Full record

ArticleArchives of public health = Archives belges de sante publique2022

Trend analysis and prediction of injury death in Xi'an city, China, 2005-2020.

Xiao-Yu Zhang, Lin-Lin Ma, Ning Chen, Dan-Dan Wu, Yu-Xiang Yan

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiao-Yu Zhang *Department of Chronic Disease Management, Xi'an Center for Disease Control and Prevention, Xi'an, 710054, China.
Lin-Lin Ma *Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Ning ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Dan-Dan WuDepartment of Chronic Disease Management, Xi'an Center for Disease Control and Prevention, Xi'an, 710054, China.
Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China. yanyxepi@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjury is an important cause of death in China. In the present study, we systematically analyzed the epidemiological characteristics and trends of injury death in Xi'an residents from 2005 to 2020.

methodsData on injury deaths from 2005 to 2020 were obtained from the "Xi'an Center for Disease Control and Prevention", injury deaths were classified according to the International Classification Disease-10th Revision (ICD-10). The data were stratified by gender, age groups, injury types, and then overall and type-specific injury mortality rates were estimated. Joinpoint regression analysis was conducted to estimate annual percent change (APC). The grey interval predicting method was used to predict the future characteristics of injury deaths in Xi'an city.

resultsFrom 2005 to 2020, injury caused 32,596 deaths (5.79% of all deaths; 35.71/100000 population). Injury mortality rates were higher among males than females. Motor vehicle traffic accidents were the commonest injury type. The highest injury mortality rates were in those aged 85 years or older. Overall, Joinpoint regression analysis revealed that injury mortality had significantly (p < 0.05) decreasing trends. GM (1,1) model estimated that injury mortality will be on a declining curve.

conclusionsMotor vehicle traffic accidents, transport accidents other than motor vehicles, unintentional falls, suicide, and accidental poisoning are the main causes of injury. The injury death rate is projected to decline over the next decade.

Indexed as

DistributionInjuryMortalityPredictionRankTrend

Identifiers

PMID36403065
PMCPMC9675969

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