Analysis on death causes of residents in Fuping County of Weinan City in Shaanxi Province from 2017-2021

Abstract

Abstract: Objective To analyze the cause of death monitoring data among residents in Fuping County of Weinan City in Shaanxi Province from 2017-2021,understand the rank order of causes of death and mortality of various diseases,and provide basis for formulating disease prevention and control strategy. Methods The death data were obtained from the cause of death monitoring data of the annual population death registration management system in Fuping County of Weinan City in Shaanxi Province in 2017-2021. The demographic data were collected from the Fuping County population information management system. The international classification of diseases-10（ICD-10） was used for coding. The mortality rate,standardized mortality,potential years of life lost（PYLL）,potential rate of life lost（PYLLR）,average years of life lost（AYLL）,composition ratio and the order of the causes of death of the surveillance data of the resident population were analyzed by Microsoft Excel and SPSS 25.0. Results From 2017 to 2021,the mortality rates of residents in Fuping County of Weinan City in Shaanxi Province was 583.15/100 000,617.49/100 000,617.64/100 000,661.14/100 000 and 761.77/100 000,respectively. The mortality rate decreased first and then increases with age. The standardized mortality rate of men was higher than that of women. The top three causes of death of residents were circulatory system diseases,malignant tumors,injury and poisoning in descending order. The top three causes of death accounted for 81.95%-85.24% of the total causes of death. The leading cause of death was mainly injury and poisoning in <45 years old group,tumor in 45-<60 years old group,and circulatory diseases in ≥60 years old（senile） group. The top three causes of death of PYLL were tumor,circulatory system disease,injury and poisoning,accounting for 79.68%-83.20% of total causes of death of PYLL. Conclusion The circulatory system diseases,malignant tumors,injury and poisoning are the main causes of death and life loss of residents in Fuping County of Weinan City in Shaanxi Province,and it is necessary to pay special attention and take effective prevention and control measures.

Key words: Death cause surveillance, Mortality, Death cause rank, Main cause of death, Potential years of life lost

CLC Number:

R195

HUANG Jin-rui, SHI Li-qi, JU Xiao-mei, SU Mu-lan, YANG Ya-fang, ZHANG Zhuan-hong. Analysis on death causes of residents in Fuping County of Weinan City in Shaanxi Province from 2017-2021. [J]OCCUPATION AND HEALTH, 2023, 39(7): 914-918.

References

[1] 贾翠.2013—2017年天津市滨海新区居民死因分析[D].天津:天津医科大学,2019.
[2] 李智,张山山,全星,等.云南省不同时期预期寿命及影响因素分析[J].中国卫生统计,2018,35(2):279-282.
[3] 国家统计局.中华人民共和国2021年国民经济和社会发展统计公报([1])[N].人民日报,2022-03-01(010).
[4] 王春芳,武建民,刘龙,等.2016年渭南市居民死因监测[J].职业与健康,2018,34(11):1499-1501.
[5] 孙明.2014—2018年吉林市永吉县户籍人口死因监测分析[D].吉林:吉林大学,2020.
[6] 饶裕莲.南昌市湾里区2014—2017年居民死因监测与疾病负担分析[D].南昌:南昌大学,2019.
[7] 蒲焱,张健,罗怡.贵阳市2015年居民死因及潜在减寿年数分析[J].中国公共卫生管理,2019,35(1):82-85.
[8] 健康中国行动推进委员会.健康中国行动(2019—2030年):总体要求、重大行动及主要指标[J].中国循环杂志,2019,34(9):846-858.
[9] 杨雯,温瑞,刘悦,等.2019年开封市居民死因监测分析[J].河南预防医学杂志,2021,32(2):156-160.
[10] 王维华,邱琳,飒日娜,等.2015—2018年陕西省常住居民死因监测数据分析[J].中国慢性病预防与控制,2021,29(3):229-232.
[11] 孙艳.2012—2017年宜兴市居民死因分析及慢性病对期望寿命的影响[D].南京:东南大学,2019.
[12] 杨琼英,董航,陈远源,等.2012—2018年广州市老年人群死因分析[J].预防医学,2021,33(1):58-60.
[13] 张澍文,王辉艳,石红红,等.2019年甘南藏族自治州居民死亡原因及潜在减寿年数分析[J].疾病预防控制通报,2020,35(6):1-4.
[14] 毋丹丹,侯斌,赵国栋.2011—2016年西安市居民主要死因分析[J].中国慢性病预防与控制,2018,26(8):637-640.
[15] 刘洋,赵博.2017—2019年营口市站前区居民死因分析[J].航空航天医学杂志,2021,32(1):87-88.
[16] 黎瞳,蒙怡.2014—2019年重庆市沙坪坝区死因谱变化趋势分析[J].预防医学情报杂志,2021,37(8):1069-1074.
[17] 刘辉,马爱灵.2006—2019年天津市河北区伤害发生趋势分析[J].伤害医学(电子版),2021,10(1):10-16.
[18] 常平西,禄韶华,史庭筠,等.2017年兰州市七里河区居民全死因流行特征及疾病负担分析[J].甘肃医药,2020,39(2):138-140.
[19] 王成申,王卓,刘伟.2018年河南省南阳市居民全死因流行病学特征[J].河南预防医学杂志,2021,32(4):322-324.
[20] 丛革新.2018年天津市河北区居民死因分析[J].河南预防医学杂志,2020,31(8):614-615.
[21] 陈亦晨,曲晓滨,孙良红,等.2002—2019年上海市浦东新区居民肝癌死亡特征及减寿率分析[J].中国全科医学,2021,24(12):1517-1522.
[22] LIAO R,HU L,LIAO Q,et al.Analysis of death causes of residents in poverty-stricken Areas in 2020:Take Liangshan Yi Autonomous Prefecture in China as an example[J].BMC Public Health,2022,22(1):1-13.
[23] XING X Y,WANG P,XU Z,et al.Mortality and disease burden of injuries from 2008 to 2017 in Anhui Province,China[J].Biomed Res Int,2020,2020:7303897.
[24] 毋丹丹,赵国栋,张松杰.西安市15岁以下儿童2016—2019年主要死因及减寿评估[J].中国学校卫生,2020,41(9):1424-1426.
[25] 谭强,焦艳,张瑞源,等.2011—2016年重庆市18~44岁青年主要死因分析和减寿评估[J].中华疾病控制杂志,2019,23(8):987-991.