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Cause ranking and trends of injury-related deaths among residents in Shaanxi province from 2015 to 2023
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Rong LIU, Lin QIU, Rina SA, Kaiming GUO, Yanping WANG
Chinese Journal of Public Health | 2025, 41(12) : 1517 - 1522
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Chinese Journal of Public Health | 2025, 41(12): 1517-1522
• Survey and Report •
Cause ranking and trends of injury-related deaths among residents in Shaanxi province from 2015 to 2023
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Rong LIU, Lin QIU, Rina SA, Kaiming GUO, Yanping WANG
Affiliations
  • Institute of Chronic Non-communicable Disease Control and Prevention, Shaanxi Provincial Center for Disease Control and Prevention, Xi’an 710054, China
Published: 2025-12-10 doi: 10.11847/zgggws1146994
Outline
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Objective

To analyze the cause ranking and trends of injury-related deaths among residents in Shaanxi province from 2015 to 2023, providing a reference for formulating injury prevention and control strategies.

Methods

The injury-related death data were sourced from the Population Death Information Registration Management System of Shaanxi Province from January 1, 2015 to December 31, 2023. The Joinpoint regression model was adopted to analyze the trends in mortality rates of all injuries and the top four death causes, and the average annual percentage change (AAPC) was calculated.

Results

From 2015 to 2023, the top four causes of injury-related deaths among residents in Shaanxi province were road traffic injuries, falls, suicide, and poisoning. During this period, the mortality rates from overall injuries, road traffic injuries, and suicide showed a downward trend (all P < 0.05), while the mortality rate from falls presented an upward trend (AAPC = 3.32%, P = 0.014). Among male residents, the mortality rates from overall injuries and road traffic injuries showed a downward trend (both P < 0.05). Among female residents, the mortality rate from suicide showed a downward trend (P < 0.05), whereas that from falls showed an upward trend (AAPC = 6.34%, P = 0.001). The mortality rates from overall injuries and road traffic injuries among the residents aged < 15 years and 15–44 years showed a downward trend (all P < 0.01), and that from suicide among residents aged < 15 years showed an upward trend (AAPC = 14.76%, P = 0.039). The mortality rates from road traffic injuries and suicide among residents aged 45–64 years and those from suicide and poisoning among residents ≥ 65 years showed a downward trend (all P < 0.01). Among urban residents, the mortality rates from overall injuries and road traffic injuries showed a downward trend (both P < 0.01). Among rural residents, the mortality rates from road traffic injuries and suicide showed a downward trend (both P < 0.01), while that from falls showed an upward trend (AAPC = 5.35%, P = 0.001).

Conclusions

From 2015 to 2023, the mortality rates from overall injuries, road traffic injuries, and suicide among residents in Shaanxi showed a downward trend, while that from falls showed an upward trend. The mortality rate trends varied across different injury types among residents of different genders, ages, and residential areas.

injury  /  death cause ranking  /  death trend  /  Joinpoint regression model analysis  /  Shaanxi province
刘蓉, 邱琳, 飒日娜, 郭凯明, 王艳平. 2015—2023年陕西省居民伤害死因顺位及死亡趋势分析. 中国公共卫生, 2025 , 41 (12) : 1517 -1522 . DOI: 10.11847/zgggws1146994
Rong LIU, Lin QIU, Rina SA, Kaiming GUO, Yanping WANG. Cause ranking and trends of injury-related deaths among residents in Shaanxi province from 2015 to 2023[J]. Chinese Journal of Public Health, 2025 , 41 (12) : 1517 -1522 . DOI: 10.11847/zgggws1146994
Year 2025 volume 41 Issue 12
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Article Info
doi: 10.11847/zgggws1146994
  • Receive Date:2025-01-23
  • Online Date:2026-10-25
  • Published:2025-12-10
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History
  • Received:2025-01-23
  • Revised:2025-06-10
  • Accepted:2025-08-01
Affiliations
    Institute of Chronic Non-communicable Disease Control and Prevention, Shaanxi Provincial Center for Disease Control and Prevention, Xi’an 710054, China

Corresponding:

WANG Yanping, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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