Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020
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 Cent...
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| Format: | Article |
| Language: | English |
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BMC
2022-11-01
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| Series: | Archives of Public Health |
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| Online Access: | https://doi.org/10.1186/s13690-022-00988-y |
| _version_ | 1811217734032162816 |
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| author | Xiao-Yu Zhang Lin-Lin Ma Ning Chen Dan-Dan Wu Yu-Xiang Yan |
| author_facet | Xiao-Yu Zhang Lin-Lin Ma Ning Chen Dan-Dan Wu Yu-Xiang Yan |
| author_sort | Xiao-Yu Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T06:59:35Z |
| format | Article |
| id | doaj.art-cced1f02a9b1494c80b0c3b07d26c411 |
| institution | Directory Open Access Journal |
| issn | 2049-3258 |
| language | English |
| last_indexed | 2024-04-12T06:59:35Z |
| publishDate | 2022-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Archives of Public Health |
| spelling | doaj.art-cced1f02a9b1494c80b0c3b07d26c4112022-12-22T03:43:03ZengBMCArchives of Public Health2049-32582022-11-018011910.1186/s13690-022-00988-yTrend analysis and prediction of injury death in Xi’an city, China, 2005-2020Xiao-Yu Zhang0Lin-Lin Ma1Ning Chen2Dan-Dan Wu3Yu-Xiang Yan4Department of Chronic Disease Management, Xi’an Center for Disease Control and PreventionDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical UniversityDepartment of Chronic Disease Management, Xi’an Center for Disease Control and PreventionDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical UniversityAbstract 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.https://doi.org/10.1186/s13690-022-00988-yInjuryMortalityRankDistributionTrendPrediction |
| spellingShingle | Xiao-Yu Zhang Lin-Lin Ma Ning Chen Dan-Dan Wu Yu-Xiang Yan Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 Archives of Public Health Injury Mortality Rank Distribution Trend Prediction |
| title | Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 |
| title_full | Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 |
| title_fullStr | Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 |
| title_full_unstemmed | Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 |
| title_short | Trend analysis and prediction of injury death in Xi’an city, China, 2005-2020 |
| title_sort | trend analysis and prediction of injury death in xi an city china 2005 2020 |
| topic | Injury Mortality Rank Distribution Trend Prediction |
| url | https://doi.org/10.1186/s13690-022-00988-y |
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