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2005—2020年长三角地区戊肝发病趋势及年龄—时期—队列:基于中国公共卫生科学数据库分析

Trends in hepatitis E incidence and age-period-cohort analysis in the Yangtze River Delta region from 2005 to 2020: an analysis based on the China Public Health Science Data Center

  • 摘要:
    目的  分析2005—2020年长三角地区戊型肝炎(戊肝)发病情况的年龄—时期—队列特征,为防控措施的制定提供支撑。
    方法  从中国公共卫生科学数据中心获取2005—2020年长三角四省(直辖市)15岁及以上人群的戊肝发病数据。采用Joinpoint回归模型分析发病趋势,以贝叶斯年龄—时期—队列效应模型分析戊肝发病的年龄效应、时期效应和队列效应。
    结果  2005—2020年长三角地区共报告112 348例15岁及以上的戊肝病例,平均标化发病率为3.393/10万。Joinpoint回归模型分析显示,2005—2020年长三角地区戊肝标化发病率呈先上升(2005—2011年,APC=6.419%,P<0.05)、后波动下降趋势,其中安徽省、江苏省、浙江省发病趋势与总体一致,上海市则相对平稳波动。贝叶斯年龄—时期—队列模型分析显示,年龄效应中长三角地区不同省/市戊肝发病率在15~74岁年龄组趋势一致,均呈现上升趋势;70~74岁年龄组之后,安徽省、上海市戊肝发病率随年龄增加而上升、江苏省下降、浙江省相对平稳。时期效应中除上海市,2005—2011年江苏省(0.74升至1.21)、浙江省(0.84升至1.07)、安徽省(0.61升至1.44)发病风险趋势一致,均呈现上升趋势,2011—2020则呈下降趋势,分别降至0.79、0.83和0.69;上海市在2005—2013年、2014—2017年和2018—2020年的RR值变化趋势为先下降(1.22降至0.76)、再上升(升至1.32)、再下降(降至0.89)。队列效应中长三角地区戊肝总体发病风险在出生队列1918—1960年呈现上升趋势(总体RR值从0.35上升为1.66);在1960年之后,江苏省(RR值从1.51降为0.17)下降最为明显。
    结论  长三角地区不同省/市戊肝发病趋势存在一定差异,整体呈波动变化趋势,但仍然需加强70~74岁年龄组以上老年人的健康教育及监测检测。

     

    Abstract:
    Objective To analyze the age-period-cohort characteristics of hepatitis E incidence in the Yangtze River Delta region from 2005 to 2020, thereby providing support for the formulation of prevention and control measures.
    Methods Data on the incidence of hepatitis E among individuals aged 15 and above in the Yangtze River Delta region, covering four provinces/municipality from 2005 to 2020, were obtained from the China Public Health Science Data Center. The Joinpoint regression model was employed to analyze the trend of hepatitis E incidence. The Bayesian age-period-cohort effect model was employed to analyze the age effect, period effect, and cohort effect of hepatitis E incidence.
    Results From 2005 to 2020, a total of 112 348 cases of hepatitis E aged 15 and above were reported in the Yangtze River Delta region, with an average age-standardized incidence rate of 3.393 cases per 100 000 individuals. The Joinpoint regression model analysis showed that the age-standardized incidence rate of hepatitis E in the Yangtze River Delta region from 2005 to 2020 initially rose (from 2005 to 2011, with an average annual percent change of 6.419%, P < 0.05) and then declined with fluctuations. The incidence trends in Anhui province, Jiangsu province, and Zhejiang province were consistent with the overall trend, while that in Shanghai remained steady with fluctuations. Bayesian age-period-cohort model analysis showed that in terms of age effect, the hepatitis E incidence rates in different provinces/municipality of the Yangtze River Delta region exhibited a consistent upward trend among people aged 15–74 years. With the increase in age after 70–74 years old, the incidence rate continued to rise in Anhui province and Shanghai, decreased in Jiangsu province, and remained steady in Zhejiang province. The trend of disease risk from 2005 to 2011 was consistent in Jiangsu province (rising from 0.74 to 1.21), Zhejiang province (rising from 0.84 to 1.07), and Anhui province (rising from 0.61 to 1.44), all showing an upward trend, while from 2011 to 2020, the trend declined, dropping to 0.79, 0.83, and 0.69, respectively. In Shanghai, the RR values from 2005 to 2013, 2014 to 2017, and 2018 to 2020 showed a decline (from 1.22 to 0.76), an increase (rising to 1.32), and then a decline again (down to 0.89). In terms of cohort effect, the overall risk of hepatitis E in the Yangtze River Delta region showed an increasing trend in the birth cohorts from 1918 to 1960 (overall RR value rising from 0.35 to 1.66). After 1960, Jiangsu province experienced the most significant decrease (RR value dropped from 1.51 to 0.17).
    Conclusion The hepatitis E incidence shows different trends among different provinces/municipality in the Yangtze River Delta region, generally exhibiting a fluctuating trend. Nevertheless, it remains necessary to strengthen health education and monitoring efforts for the elderly population aged 70–74 and above.

     

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