2004―2021年我国居民主要伤害死亡率变化趋势

王素贤; 蒋帅; 赵要军; 段彦然; 穆子涵; 王晶; 汤艳雨

doi:10.16462/j.cnki.zhjbkz.2024.03.001

2004―2021年我国居民主要伤害死亡率变化趋势

doi: 10.16462/j.cnki.zhjbkz.2024.03.001

王素贤¹,
蒋帅^{2, 4},
赵要军^{1, 3, ,},
段彦然⁴,
穆子涵¹,
王晶¹,
汤艳雨¹

1.
郑州大学公共卫生学院社会医学与卫生事业管理学教研室, 郑州 450001
2.
郑州大学第一附属医院运营管理部, 郑州 450052
3.
郑州大学华中阜外医院运营管理部, 郑州 451460
4.
河南省医院管理研究院, 郑州 450052

基金项目:

河南省重点研发与推广专项(科技攻关)项目 232102310512

河南省科技厅软科学研究项目 232400410116

河南省医学科技攻关计划软科学重点项目 RKX202201003

详细信息

通讯作者:
赵要军，E-mail: zhaoyaojun@zzu.edu.cn

中图分类号: R195
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出版历程
- 收稿日期: 2023-01-09
- 修回日期: 2023-07-10
- 网络出版日期: 2024-04-08
- 刊出日期: 2024-03-10

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

1.
Faculty of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
2.
Operation Management Department, The First Affiliation Hospital of Zhengzhou University, Zhengzhou 450052, China
3.
Operation Management Department, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, China
4.
Institute for Hospital Management of Henan Province, Zhengzhou 450052, China

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

摘要

摘要: 目的分析2004―2021年我国居民主要伤害死亡率变化趋势，为制定人群伤害防控策略提供参考依据。方法从2004―2021年《中国死因监测数据集》中提取年龄、性别和城乡伤害类别等数据，采用Joinpoint回归模型计算年度变化百分比(annual percent change, APC)和平均年度变化百分比(average annual percent change, AAPC)。结果 2004―2021年，伤害标化死亡率总体呈下降趋势(AAPC=-4.43%, P < 0.001)。非故意跌落标化死亡率呈上升趋势(AAPC=1.12%, P < 0.001)，其余4个伤害类型呈下降趋势(AAPC分别为-5.44%、-4.16%、-5.87%和-3.24%, 均P < 0.001)。从年龄组看，0~＜15岁、15~＜65岁和≥65岁年龄组首位伤害死因分别是溺水、道路交通事故和非故意跌落；≥65岁非故意跌落死亡率呈上升趋势(AAPC=1.82%, P=0.033)。从人群类型看，男性道路交通事故标化死亡率高于女性；农村伤害标化死亡率每年均高于城市，且农村男性是死亡率最高的群体。结论 2004―2021年我国居民伤害死亡率总体呈下降趋势，男性、≥65岁老年人和农村人群是伤害死亡率防控的重点人群。
- 伤害 /
- 死亡率 /
- 趋势分析 /
- Joinpoint回归
Abstract: 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.
- Injury /
- Mortality /
- Trend analysis /
- Joinpoint regression

HTML全文

图 1 2004―2021年中国主要伤害标化死亡率变化趋势

APC: 年度变化百分比；AAPC: 平均年度变化百分比；AADR: 标化死亡率。
a < 0.05。

Figure 1. Trends of standardized mortality rate of major injuries in China, 2004-2021

APC: annual percent change; AAPC: average annual percent change; AADR: age-adjusted death rate.
a < 0.05.

下载: 全尺寸图片幻灯片

图 2 2004―2021年中国不同性别标化死亡率变化趋势

APC: 年度变化百分比；AAPC: 平均年度变化百分比；AADR: 标化死亡率。
a < 0.05。

Figure 2. Trends of genders standardized mortality rates in China, 2004-2021

APC: annual percent change; AAPC: average annual percent change; AADR: age-adjusted death rate.
a < 0.05.

下载: 全尺寸图片幻灯片

图 3 2004―2021年中国不同人群伤害标化死亡率的变化趋势

AADR: 标化死亡率。

Figure 3. Trends of standardized mortality rates among different populations in China, 2004-2021

AADR: age-adjusted death rate.

下载: 全尺寸图片幻灯片

表 1 2004―2021年中国居民各年龄段主要伤害死亡率顺位表

Table 1. Rank of major injury mortality rate of Chinese residents by age group, 2004-2021

伤害类别Injury type	0~＜15岁years		15~＜45岁years		45~＜65岁years		≥65岁years
伤害类别Injury type	死亡率/10^-5 Mortality/10^-5	顺位 Rank	死亡率/10^-5 Mortality/10^-5	顺位 Rank	死亡率/10^-5 Mortality/10^-5	顺位 Rank	死亡率/10^-5 Mortality/10^-5	顺位 Rank
道路交通事故Road traffic accidents	3.78	2	13.30	1	22.41	1	34.85	2
非故意跌落Non-accidental falls	1.26	3	2.77	3	8.17	2	59.48	1
溺水Drowning	5.76	1	2.17	4	2.77	5	8.96	4
自杀及后遗症Suicide and sequelae	0.39	5	4.16	2	7.19	3	27.19	3
非故意中毒Non-accidental poisoning	0.59	4	2.05	5	3.80	4	7.51	5

下载: 导出CSV

表 2 2004―2021年中国不同年龄段主要伤害死亡率变化趋势

Table 2. Trends of major injury mortality rates among different age groups in China, 2004-2021

年龄组/岁 Age group/years	合计 Total		道路交通事故 Road traffic accidents		非故意跌落 Non-accidental falls		溺水 Drowning		自杀及后遗症 Suicide and sequelae		非故意中毒 Non-accidental poisoning
年龄组/岁 Age group/years	AAPC/%	P值 value	AAPC/%	P值 value	AAPC/%	P值 value	AAPC/%	P值 value	AAPC/%	P值 value	AAPC/%	P值 value
0~＜15	-4.75	< 0.001	-4.54	< 0.001	-0.70	0.102	-7.04	< 0.001	-0.49	0.697	-4.86	< 0.001
15~＜45	-5.38	< 0.001	-6.75	< 0.001	-1.38	0.003	-2.15	0.043	-5.07	< 0.001	-3.13	< 0.001
45~＜65	-2.64	< 0.001	-3.07	< 0.001	0.94	0.128	-1.30	0.007	-5.57	< 0.001	-2.48	< 0.001
≥65	-1.57	0.108	-0.74	0.003	1.82	0.033	-1.67	< 0.001	-6.46	< 0.001	-3.02	0.001
注：AAPC，平均年度变化百分比。 Note: AAPC，average annual percent change.

下载: 导出CSV

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