苏丹婷, 赵栋, 韩丹, 黄李春, 何梦洁, 方跃强, 章荣华. 浙江省居民贫血率的Meta分析[J]. 疾病监测, 2020, 35(10): 961-964. DOI: 10.3784/j.issn.1003-9961.2020.10.019
引用本文: 苏丹婷, 赵栋, 韩丹, 黄李春, 何梦洁, 方跃强, 章荣华. 浙江省居民贫血率的Meta分析[J]. 疾病监测, 2020, 35(10): 961-964. DOI: 10.3784/j.issn.1003-9961.2020.10.019
Danting Su, Dong Zhao, Dan Han, Lichun Huang, Mengjie He, Yueqiang Fang, Ronghua Zhang. Meta-analysis on prevalence of anemia in Zhejiang[J]. Disease Surveillance, 2020, 35(10): 961-964. DOI: 10.3784/j.issn.1003-9961.2020.10.019
Citation: Danting Su, Dong Zhao, Dan Han, Lichun Huang, Mengjie He, Yueqiang Fang, Ronghua Zhang. Meta-analysis on prevalence of anemia in Zhejiang[J]. Disease Surveillance, 2020, 35(10): 961-964. DOI: 10.3784/j.issn.1003-9961.2020.10.019

浙江省居民贫血率的Meta分析

Meta-analysis on prevalence of anemia in Zhejiang

  • 摘要:
    目的利用常规监测数据,采用Meta分析方法评价浙江省居民贫血发生情况。
    方法利用2016 — 2017年浙江省22个县(市、区)来自妇幼保健系统、6~17岁儿童及青少年学生健康状况监测体检数据、18~59岁成年人和≥60岁老年人健康体检,及部分电子病历数据,采用Stata软件计算浙江省各类人群贫血的Meta合并发生率,并作敏感性分析。
    结果监测数据覆盖了监测县(市、区)8.00%的目标人群。≥6月龄婴幼儿贫血率为7.62% (95% CI:6.16%~9.07%),6~17岁组贫血率为11.41% (95% CI:6.22%~16.60%),18~59岁组贫血率为11.19% (95% CI: 7.99%~14.40%),≥60岁组贫血率为19.49% (95% CI:14.17%~24.81%)。 敏感性分析发现剔除样本量最小的1~2个地区结果后,≥6月龄婴幼儿贫血率为7.76%(95% CI:6.23%~9.29%),6~17岁组贫血率为11.35%(95% CI:5.29%~17.41%),18~59岁组贫血率为11.53%(95% CI:7.97%~15.08%),≥60岁组贫血率为18.50%(95% CI:12.65%~24.35%),与剔除前贫血率接近。
    结论Meta分析为基层公共卫生机构利用常规监测和报表的数据,定期评估人群贫血状况提供了方便、科学的途径。 贫血在浙江省各年龄亚组人群仍为轻度公共卫生问题,但在老年人群已接近中度公共卫生问题。 学龄儿童青少年的贫血监测覆盖面仍需扩大。

     

    Abstract:
    ObjectiveTo understand the prevalence of anemia in Zhejiang province and provide evidences for the regular evaluation of anemia prevalence.
    MethodsA Meta-analysis was conducted by using the health surveillance or examination data in children and adolescents aged 6–17 years collected from maternal and child health care system and the health examination data and some electronic health records in adults aged 18–59 years and the elderly aged ≥60 years in 22 counties or districts in Zhejiang. Software Stata was used to calculate the prevalence rate of anemia in different age groups. Sensitive analysis was also conducted.
    ResultsOverall, 8.00% of target population was covered in this study. The prevalence rate of anemia was 12.53% (95% CI: : 9.27%–15.79%) in Zhejiang. The prevalence were 7.62% (95% CI: 6.16%–9.07%), 11.41% (95% CI: 6.22%–16.60%), 11.19% (95% CI: 7.99%–14.40%), 19.49% (95% CI: 14.17%–24.81%) respectively in age groups ≥6 months, 6–17 years, 18–59 years and ≥60 years. The sensitive analysis indicated that after removal of data of 1–2 districts with smallest sample size prevalence the prevalence rates of anemia were 7.76% in age group ≥6 months (95% CI: 6.23%–9.29%), 11.35% in age group 6–17 years (95% CI: 5.29%–17.41%), 11.53% in age group 18–59 years (95% CI: 7.97%–15.08%) and 18.50% in age group ≥60 years (95% CI: 12.65%–24.35%), similar to the results before the removal.
    ConclusionMete-analysis can be used in the regular evaluation of anemia prevalence in population by using routine surveillance and report data in primary public health institutions. Anemia remains a mild public health problem in different populations in Zhejiang, but in the elderly population it has almost become a moderate public health problem. It is still necessary to expand the surveillance coverage of anemia in school aged children and adolescents.

     

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