PDF(695 KB)
Analysis of death characteristics and years of life lost among the elderly population aged 60 and above in Ganzhou from 2020 to 2024
YUAN Xueqian, LIAO Yong, TAN Ying, ZHU Yaoqin, YAN Yuekang
Anhui Journal of Preventive Medicine ›› 2025, Vol. 31 ›› Issue (5) : 354-357.
PDF(695 KB)
PDF(695 KB)
Analysis of death characteristics and years of life lost among the elderly population aged 60 and above in Ganzhou from 2020 to 2024
Objective To investigate the death characteristics and causes of years of life lost (YLL) among the elderly population aged 60 and above in Ganzhou from 2020 to 2024,thus to provide scientific basis for health management of the elderly population.Methods Death surveillance data of permanent residents aged 60 and above in Ganzhou from 2020 to 2024 were collected.SPSS 26.0 was used for statistical analysis.Indicators such as potential years of life lost (PYLL),PYLL rate (PYLLR),and average YLL (AYLL) were utilized to evaluate the YLL due to various causes of death among the elderly population.Results From 2020 to 2024,the reported number of deaths among the elderly population aged 60 and above in Ganzhou accounted for 81.42% (235 688/289 481) of the total population deaths,with an average annual crude death rate of 32.75‰ (235 688/7 196 594),and a standardized death rate of 30.71‰.Deaths in the elderly population aged 75 and above accounted for 65.91% (155 347/235 688).The mortality rate of males (37.76‰) was higher than that of females (28.28‰) (χ2=5 093.795,P<0.001).The top 10 causes of death were heart diseases,cerebrovascular diseases,respiratory system diseases,malignant tumors,endocrine nutritional metabolic diseases,injuries,digestive system diseases,mental disorders,urogenital system diseases,and nervous system diseases,accounting for 94.19% (221 992/235 688) of all deaths in the elderly population.The PYLL caused by all causes of death in the elderly population was 514 943.00 person-years,with PYLLR of 71.55‰ and AYLL of 2.18 years/person.Malignant tumors ranked the highest in all indicators,which were 155 697.50 person-years,21.63‰,and 3.94 years/person,respectively.Conclusion The leading causes of death among the elderly population aged 60 and above in Ganzhou are heart diseases and cerebrovascular diseases,with malignant tumors contributing the most to YLL.Cardiovascular and cerebrovascular diseases,as well as malignant tumors,should be prioritized as key points in the prevention and management of elderly health.
Elderly / Death characteristics / Years of life lost analysis
| [1] |
吴斯旻. 民政部副部长:中国人口老龄化没有国际经验可借鉴但蕴藏独特发展机遇[N]. 第一财经日报,2025-03-25(A02).
|
| [2] |
赖卫国. 江西赣州:改善老龄健康服务实现全面健康支持[J]. 中国卫生, 2024(5):91-93.
|
| [3] |
赣州市统计局. 赣州市2024年国民经济和社会发展统计公报[N]. 赣南日报,2025-04-18(003).
|
| [4] |
俞顺章, 吕桦, 陆家良, 等. 过早死亡率(减寿率)的标化和计算[J]. 上海预防医学, 2018, 30(2):151-155.
|
| [5] |
古彩红, 林文渊, 杨润威. 梅州市2019—2022年户籍居民死因监测结果分析[J]. 安徽预防医学杂志, 2024, 30(6):503-506.
|
| [6] |
马丽, 王小丽. 2012—2019年上海市某社区60岁以上老年人口主要死因及减寿分析[J]. 公共卫生与预防医学, 2020, 31(4):81-84.
|
| [7] |
王晓云, 卢杰, 蒋小妍, 等. 2017—2021年泉州市老年人死亡特征分析[J]. 应用预防医学, 2023, 29(3):167-169.
|
| [8] |
杨婧, 李露, 张庆. 2018—2023年天水市老年人死亡水平及变化趋势分析[J]. 疾病预防控制通报, 2025, 40(2):67-69+85.
|
| [9] |
王宇. 老年人衰弱轨迹与全死因死亡率的纵向关联研究[D]. 青岛: 青岛大学, 2020.
|
| [10] |
周福凯, 谭伟, 刘丹, 等. 湖北省社区65岁及以上老年人痴呆患病率及其与多病共患的关联性[J]. 中华疾病控制杂志, 2023, 27(6):627-632.
|
| [11] |
李安乐, 赵根明, 江峰, 等. 上海市嘉定区社区居民常见慢性病多病共患现状及其影响因素[J]. 中国公共卫生, 2021, 37(12):1766-1769.
|
| [12] |
蔡波, 沈洪兵, 林玲, 等. 南通市人口老龄化与老年人死因分析和预测[J]. 中华疾病控制杂志, 2013, 17(5):388-391.
|
| [13] |
曹志, 程杨杨, 王媛, 等. 高发慢性病对老年人全因死亡影响的前瞻性研究[J]. 中国慢性病预防与控制, 2020, 28(1):20-23.
|
| [14] |
李济平, 汪金生, 翟金霞. 望江县2014—2017年60岁以上老年人死因分析[J]. 中国预防医学杂志, 2020, 21(7):774-777.
|
| [15] |
程倩瑶, 贺琴, 胡静垚, 等. 安徽省2009—2022年淮河流域5县(区)肺癌死亡变化趋势及潜在寿命损失分析[J]. 安徽预防医学杂志, 2024,30(6):446-450.
|
| [16] |
严月康, 曹洪敏, 杨荣荣, 等. 2015—2021年赣州市主要慢性病早死概率变化趋势及预测分析[J]. 中国农村卫生事业管理, 2023, 43(5):370-374+312.
|
| [17] |
付继玲, 孙亚明, 李洁, 等. 九江市2015—2023年主要慢性病早死概率变化趋势及预测分析[J]. 安徽预防医学杂志, 2024, 30(6):460-464.
|
利益冲突声明 所有作者声明无利益冲突
/
| 〈 |
|
〉 |
