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. 2022 Nov 19;80(1):238.
doi: 10.1186/s13690-022-00988-y.

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

Xiao-Yu Zhang #  1 , Lin-Lin Ma #  2 , Ning Chen  2 , Dan-Dan Wu  1 , Yu-Xiang Yan  3
Affiliations

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

Xiao-Yu Zhang et al. Arch Public Health. .

Abstract

Background: Injury 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.

Methods: Data 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.

Results: From 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.

Conclusions: Motor 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.

Keywords: Distribution; Injury; Mortality; Prediction; Rank; Trend.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Comparison of injury mortality between in Xi’an and China
Fig. 2
Fig. 2
Analysis of life lost caused by injury in Xi’an
Fig. 3
Fig. 3
Seasonal distribution of injury mortality in Xi’an
Fig. 4
Fig. 4
Trends in mortality rates by injury types in Xi’an
See this image and copyright information in PMC

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