Mortality and probability of premature death due to four chronic diseases in Taizhou City
WU Danhong1, WANG Weixia2, WANG Liangyou3, QIAO Dongju3, HUANG Yilu3, ZHANG Yan3
1. Department of Chronic Disease Control and Prevention, Wenling Center for Disease Control and Prevention, Wenling, Zhejiang 317500, China; 2. Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310000, China; 3. Taizhou Center for Disease Control and Prevention, Taizhou, Zhejiang 318000, China
Abstract:Objective To understand the mortality and probability of premature death due to malignant tumors, cardio-cerebrovascular diseases, diabetes and chronic respiratory diseases in Taizhou City, Zhejiang Province, so as to provide the basis for the improvement of chronic diseases prevention and control strategies. Methods The death data of the four chronic diseases among local residents in Taizhou City from 2019 to 2022 were collected through Taizhou Chronic Disease Information Management System, and the crude mortality, standardized mortality (standardized by the data of the seventh national population census in 2020) and probability of premature death were calculated. The trends in mortality and probability of premature death were analyzed using annual percent change (APC). The attainment of probability of premature death due to the four chronic diseases were evaluated using the target values and predicted values in 2025 and 2030. Results There were 119 899 deaths from the four chronic diseases in Taizhou City from 2019 to 2022, with the crude mortality of 494.48/105 and the standardized mortality of 410.68/105, which was no significant changing trend (APC=4.680% and -2.795%, both P>0.05). The probability of premature death decreased from 10.39% to 8.69% (APC=-6.027%, P<0.05). The crude mortality and standardized mortality in males were higher than those in females (562.13/105 vs. 424.08/105; 461.67/105 vs. 353.81/105; both P<0.05). The crude mortality and standardized mortality in rural areas were higher than those in urban areas (499.65/105 vs. 480.52/105; 429.20/105 vs. 365.68/105; both P<0.05). The probability of premature death in women and rural residents showed downward trends (APC=-8.210% and -7.558%, both P<0.05) from 2019 to 2022. The standardized mortality and probability of premature death due to malignant tumors showed downward trends (APC=-6.090% and -8.019%, both P<0.05). The crude mortality of diabetes showed an upward trend (APC=18.654%, P<0.05). The predicted values for probability of premature death due to due to the four chronic diseases in 2025 and 2030 were 7.27% and 5.40%, respectively, and were lower than the target values of 10.02% and 8.77%. Conclusions From 2019 to 2022, there was no significant trends in the mortality of four chronic diseases in Taizhou City, with rural men being the key population for prevention and control. The probability of premature death showed a downward trend, and it was expected to achieve the target in 2025 and 2030.
吴丹红, 王伟霞, 王良友, 乔冬菊, 黄依璐, 张嫣. 台州市4类慢性病死亡及早死概率分析[J]. 预防医学, 2024, 36(5): 428-431,436.
WU Danhong, WANG Weixia, WANG Liangyou, QIAO Dongju, HUANG Yilu, ZHANG Yan. Mortality and probability of premature death due to four chronic diseases in Taizhou City. Preventive Medicine, 2024, 36(5): 428-431,436.
[1] World Health Organization.World Health Statistics 2023:monitoring health for the SDGs,sustainable development goals[R].Geneva:WHO,2023. [2] World Health Organization.Global status report on noncommunicable diseases 2014[R].Geneva:WHO,2014. [3] 中华人民共和国中央人民政府.“健康中国2030”规划纲要[EB/OL].[2024-03-14].http://www.gov.cn/zhengce/2016-10/25/content_5124174.htm. [4] 中华人民共和国中央人民政府.中国防治慢性病中长期规划(2017—2025年)[EB/OL].[2024-03-14].https://www.gov.cn/zhengce/content/2017-02/14/content_5167886.htm. [5] 聂东梅,李一鹏,黄妍.2012—2021年江门市4类慢性病早死概率分析[J].预防医学,2023,35(7):602-606. [6] 何宝华,周晓红,席胜军,等.2005—2020年下城区30~69岁居民4种慢性病早死概率分析[J].预防医学,2022,34(11):1172-1177. [7] 由那,梁小娴,阮慧红.2013—2020年广州市番禺区主要慢性病早死概率变化趋势分析[J].职业与健康,2023,39(3):355-358,363. [8] 中国疾病预防控制中心慢性非传染性疾病预防控制中心,国家卫生健康委统计信息中心.中国死因监测数据集2021[M].北京:中国科学技术出版社,2022. [9] 杨君崎,李江峰,樊丽辉,等.温州市4类重大慢性病早死概率及去死因期望寿命分析[J].预防医学,2021,33(2):178-180. [10] 孙聪,张玉,陈岚,等.2014—2020年上海市松江区居民4类主要慢性病早死概率分析[J].中国初级卫生保健,2022,36(5):35-37. [11] 陈亦晨,陈华,周弋,等.2002—2020年上海市浦东新区居民主要慢性病早死概率研究[J].中国全科医学,2022,25(9):1098-1104. [12] 刘杰,颜玮,刘明,等.江西省2014—2018年死因监测地区主要慢性病早死概率分析[J].中国卫生统计,2020,37(2):253-255. [13] 韦慧艳.2016年广西居民死亡特征及主要慢性病疾病负担分析[D].南宁:广西医科大学,2018. [14] 黄荣超,卢秀梅,覃凌峰,等.广西壮族自治区百色市慢性非传染性疾病及其危险因素现况调查[J].应用预防医学,2017,23(4):271-275,279. [15] WU Y H,XIONG Y,WANG P,et al.Risk factors of cardiovascular and cerebrovascular diseases in young and middle-aged adults:a meta-analysis[J].Medicine(Baltimore),2022,101(48):1-17. [16] 乔冬菊,王良友,娄雪萍,等.2011—2018年浙江省台州市主要慢性病死亡水平及早死概率分析[J].上海预防医学,2022,34(12):1207-1213. [17] 陈亦晨,陈华,孙良红,等.2010—2020年上海市浦东新区居民糖尿病死亡及早死概率空间流行病学特征分析[J].中国全科医学,2022,25(6):729-734. [18] 蒋园园,王冬飞,林君英,等.2015—2021年萧山区4类慢性病死亡及早死概率分析[J].预防医学,2024,36(2):147-151.