Advanced Search

CN 34-1304/RISSN 1674-3679

Volume 28 Issue 3
Mar.  2024
Turn off MathJax
Article Contents
WANG Suxian, JIANG Shuai, ZHAO Yaojun, DUAN Yanran, MU Zihan, WANG Jing, TANG Yanyu. The trend of injury mortality rates among Chinese residents from 2004 to 2021[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(3): 249-255. doi: 10.16462/j.cnki.zhjbkz.2024.03.001
Citation: WANG Suxian, JIANG Shuai, ZHAO Yaojun, DUAN Yanran, MU Zihan, WANG Jing, TANG Yanyu. The trend of injury mortality rates among Chinese residents from 2004 to 2021[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(3): 249-255. doi: 10.16462/j.cnki.zhjbkz.2024.03.001

The trend of injury mortality rates among Chinese residents from 2004 to 2021

doi: 10.16462/j.cnki.zhjbkz.2024.03.001
Funds:

Key Research and Development and Pomotion Special Project of Henan Province 232102310512

Soft Science Project of Henan Province Science and Technology Department 232400410116

Soft Science Project of Henan Province Medical Science and Technology Research Plan Project RKX202201003

More Information
  • Corresponding author: ZHAO Yaojun, E-mail: zhaoyaojun@zzu.edu.cn
  • Received Date: 2023-01-09
  • Rev Recd Date: 2023-07-10
  • Available Online: 2024-04-08
  • Publish Date: 2024-03-10
  •   Objective  It could provide evidence for the formulation of injury prevention and control strategies by analyzing the trend of the injury mortality rate of Chinese residents from 2004 to 2021.  Methods  The injury data on age, gender and urban-rural status were extracted from the 《National Cause of Death Surveillance Dataset》 from 2004 to 2021. The Joinpoint regression model was used to calculate the annual percent change (APC) and average annual percent change (AAPC).  Results  The injury standardized mortality rate of Chinese residents decreased from 2004 to 2021 (AAPC=-4.43%, P < 0.001). The AAPC was 1.12% for non-accidental falls (P < 0.001). In contrast, the remaining four injury types showed a decreasing trend, corresponding to the AAPC was -5.44%, -4.16%, -5.87% and -3.24% respectively (P < 0.001). From age perspective, drowning, road traffic accidents, and non-accidental falls were the main causes of injury in the 0- < 15 years, 15- < 65 years, and ≥65 years subgroups, respectively. Contrary, the ≥65 years age group showed an increasing trend for non-accidental falls (AAPC=1.82%, P=0.033). From different populations perspective, the injury standardized mortality rate of road traffic accidents was higher in males than females. And the injury standardized mortality rate in rural areas was higher than in urban areas each year, among them, males in rural were the highest group.  Conclusions  The injury mortality rate showed a decreasing trend from 2004 to 2021 for Chinese residents. For injury prevention and control, targeted intervention measures should be taken for males, the ≥65 years age and rural residents as a focus group.
  • loading
  • [1]
    俞梅华, 丁晶莹. 2014―2020年浙江省湖州市伤害死亡变化趋势及潜在寿命损失[J]. 疾病监测, 2022, 37(2): 257-261. DOI: 10.3784/jbjc.202107050383.

    Yu MH, Ding JY. Incidence trend and potential life loss of injury death in Huzhou, Zhejiang, 2014―2020[J]. Dis Surveill, 2022, 37(2): 257-261. DOI: 10.3784/jbjc.202107050383.
    [2]
    Duan LL, Ye PP, Juanita AH, et al. The burden of injury in China, 1990―2017: findings from the Global Burden of Disease Study 2017[J]. Lancet Public Health, 2019, 9(4): e449-e461. DOI: 10.1016/S2468-2667(19)30125-2.
    [3]
    中国疾病预防控制中心慢性非传染性疾病预防控制中心. 中国死因监测数据集2021[M]. 北京: 中国科学技术出版社, 2022: 32.

    The National Center for Chronic and Noncommunicable Diseases Control and Prevention. The National Cause-of-Death Surveillance data set for China in 2020[M]. Beijing: China Science and Technology Press, 2022: 32.
    [4]
    潘伟, 纪彤, 王昆燕, 等. 2012―2021年山东省烟台市居民伤害死因特征及趋势分析[J]. 疾病监测, 2023, 38(3): 315-320. DOI: 10.3784/jbjc.202211150502.

    Pan W, Ji T, Wang KY, et al Characteristics and trend of injury mortality in residents in Yantai, Shandong, 2012-2021[J]. Dis Surveill, 2023, 38(3): 315-320. DOI: 10.3784/jbjc.202211150502.
    [5]
    Meng RL, Xu XJ, Xu YJ, et al. Epidemiological characteristics of injury mortality in Guangdong Province, China, 2015[J]. BMC Public Health, 2019, 19(1): 142. DOI: 10.1186/s12889-019-6437-6.
    [6]
    Yao M, Wu G, Zhao Z, et al. Unintentional injury mortality among children under age five in urban and rural areas in the Sichuan province of west China, 2009―2017[J]. Sci Rep, 2019, 9(1): 2963. DOI: 10.1038/s41598-019-38936-6.
    [7]
    Xing XY, Wang P, Xu Z, et al. Mortality and disease burden of injuries from 2008 to 2017 in Anhui Province, China[J]. Biomed Res Int, 2020: 7303897. DOI: 10.1155/2020/7303897.
    [8]
    张梦鸽, 李传苍, 孟晶婧, 等. 中国居民2008―2020年故意伤害死亡趋势分析及预测[J]. 中国公共卫生, 2023, 39(5): 627-632. DOI: 10.11847/zgggws1139482.

    Zhang MG, Li CC, Meng JJ, et al. Intentional injury mortality among Chinese residents: 2008―2020[J]. Chin J Public Health, 2023, 39(5): 627-632. DOI: 10.11847/zgggws1139482.
    [9]
    赵原原, 龚洁, 严亚琼, 等. 2011―2017年武汉市居民伤害死亡率及变化趋势分析[J]. 中国慢性病预防与控制, 2019, 27(8): 593-596. DOI: 10.16386/j.cjpccd.issn.1004-6194.2019.08.008.

    Zhao YY, Gong J, Yan YQ, et al. Analysis on the trend of injury mortality of the residents in Wuhan during 2011-2017[J]. Chin J Prev Control Chron Dis, 2019, 27(8): 593-596. DOI: 10.16386/j.cjpccd.issn.1004-6194.2019.08.008.
    [10]
    丁贤彬, 焦艳, 杨弦弦, 等. 2012―2018年重庆市交通伤害疾病负担趋势分析[J]. 中国慢性病预防与控制, 2020, 28(5): 326-328, 333. DOI: 10.16386/j.cjpccd.issn.1004-6194.2020.05.002.

    Ding XB, Jiao Y, Yang XX, et al. Analysis on disease burden trend of traffic injury from 2012 to 2018 in Chongqing[J]. Chin J Prev Control Chron Dis, 2020, 28(5): 326-328, 333. DOI: 10.16386/j.cjpccd.issn.1004-6194.2020.05.002.
    [11]
    林泽婷, 吕来文, 黄晓晴, 等. 1990—2017年中国伤害负担: 2017年全球疾病负担研究结果(摘译)[J]. 伤害医学(电子版), 2020, 9(2): 52-59. DOI: 10.3868/j.issn.2095-1566.2020.02.010.

    Lin ZT, Lv LW, Huang XQ, et al. The burden of injury in China, 1990―2017: findings from the global burden of disease study 2017[J]. Injury Med(Electr Ed), 2020, 9(2): 52-59. DOI: 10.3868/j.issn.2095-1566.2020.02.010.
    [12]
    Sorenson SB. Gender disparities in injury mortality: consistent, persistent, and larger than you'd think[J]. Am J Public Health, 2011, 101(1): S353-S358. DOI: 10.2105/AJPH.2010.300029.
    [13]
    邱琳, 飒日娜, 王维华, 等. 2015―2017年陕西省居民伤害死亡现状与潜在损失分析[J]. 中华疾病控制杂志, 2019, 23(4): 452-458. DOI: 10.16462/j.cnki.zhjbkz.2019.04.017.

    Qiu L, Sa RN, Wang WH, et al. Status of injury death and potential losses analysis in Shaanxi Province, 2015-2017[J]. Chin J Dis Control Prev, 2019, 23(4): 452-458. DOI: 10.16462/j.cnki.zhjbkz.2019.04.017.
    [14]
    邹亚明, 郝元涛. 我国伤害所致死亡损失生命年和经济负担分析[J]. 中华疾病控制杂志, 2016, 20(5): 495-499. DOI: 10.16462/j.cnki.zhjbkz.2016.05.016.

    Zou YM, Hao YT. Analysis on years of life lost and economic burden caused by injury in China[J]. Chin J Dis Control Prev. 2016, 20(5): 495-499. DOI: 10.16462/j.cnki.zhjbkz.2016.05.016.
    [15]
    Staton C, Vissoci J, Gong E, et al. Correction: road traffic injury prevention initiatives: a systematic review and meta summary of effectiveness in low and middle income countries[J]. PLoS One, 2016, 11(2): e0150150. DOI: 10.1371/journa.pone.0144971.
    [16]
    龚雪蕾, 方菁, 谭晓萍, 等. 中国31个省市道路交通事故现状分析及实现SDGs死伤减半目标趋势预测[J]. 中华疾病控制杂志, 2020, 24(1): 4-8, 36. DOI: 10.16462/j.cnki.zhjbkz.2020.01.002.

    Gong XL, Fang J, Tan XP, et al. Analysis of the current situation of road traffic accidents in the 31 provinces/municipalities of China and the projection for achieving the SDGs target of halving the numbers of death and injury[J]. Chin J Dis Control Prev, 2020, 24(1): 4-8, 36. DOI: 10.16462/j.cnki.zhjbkz.2020.01.002.
    [17]
    张爽, 张辉, 王卓, 等. 天津市2000―2019年道路交通伤害死亡趋势分析[J]. 中华流行病学杂志, 2021, 42(11): 2018-2023. DOI: 10.16462/j.cnki.zhjbkz.2019.05.002.

    Zhang S, Zhang H, Wang Z, et al. Analysis on mortality trends of road traffic injury in Tianjin, 2000―2019[J]. Chin J Epidemiol, 2021, 42(11): 2018-2023. DOI: 10.16462/j.cnki.zhjbkz.2019.05.002.
    [18]
    Jiang B, Liang S, Peng ZR, et al. Transport and public health in China: the road to a healthy future[J]. Lancet, 2017, 390(10104): 1781-1791. DOI: 10.1016/s0140-6736(17)31958-x.
    [19]
    刘丹丹, 周乾宇, 刘慧敏, 等. 中国居民2004―2018年意外跌落死亡趋势分析[J]. 中国公共卫生, 2022, 38(4): 467-471. DOI: 10.11847/zgggws1133908.

    Liu DD, Zhou QY, Liu HM, et al. Changing trend in mortality of accidental falls among Chinese residents, 2004-2018: a surveillance data analysis[J]. Chin J Public Health, 2022, 38(4): 467-471. DOI: 10.11847/zgggws1133908.
    [20]
    World Health Organization. Step safely: strategies for preventing and managing falls across the life-course[R]. Geneva: WHO, 2021.
    [21]
    中华人民共和国国家统计局. 2021年第七次全国人口普查主要数据公报(第1号)[EB/OL]. (2021-05-11)[2022-10-20]. https://www.gov.cn/guoqing/2021-05/13/content_5606149.htm?eqid=cf0e88a0000470bc0000000364645f30.
    [22]
    齐士格, 王志会, 王丽敏, 等. 2013年中国老年居民跌倒伤害流行状况分析[J]. 中华流行病学杂志, 2018, 39(4): 439-442. DOI: 10.3760/cma.j.issn.0254-6450.2018.04.010.

    Qi SG, Wang ZH, Wang LM, et al. Current status of falls and related injuries among Chinese elderly in 2013[J]. Chin J Epidemiol, 2018, 39(4): 439-442. DOI: 10.3760/cma.j.issn.0254-6450.2018.04.010.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(2)

    Article Metrics

    Article views (253) PDF downloads(96) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return