苏恒宇, 杜李梅, 武迪, 陈宣世, 张乃凡, 苏仲军, 谢惠芳. 2022年四川某地区健康人群白破抗体水平及聚集性分析[J]. 疾病监测. DOI: 10.3784/jbjc.202401240045
引用本文: 苏恒宇, 杜李梅, 武迪, 陈宣世, 张乃凡, 苏仲军, 谢惠芳. 2022年四川某地区健康人群白破抗体水平及聚集性分析[J]. 疾病监测. DOI: 10.3784/jbjc.202401240045
Su Hengyu, Du Limei, Wu Di, Chen Xuanshi, Zhang Naifan, Su Zhongjun, Xie Huifang. Analysis on diphtheria and tetanus antibody levels and related distributions in healthy population in an area in Sichuan, 2022[J]. Disease Surveillance. DOI: 10.3784/jbjc.202401240045
Citation: Su Hengyu, Du Limei, Wu Di, Chen Xuanshi, Zhang Naifan, Su Zhongjun, Xie Huifang. Analysis on diphtheria and tetanus antibody levels and related distributions in healthy population in an area in Sichuan, 2022[J]. Disease Surveillance. DOI: 10.3784/jbjc.202401240045

2022年四川某地区健康人群白破抗体水平及聚集性分析

Analysis on diphtheria and tetanus antibody levels and related distributions in healthy population in an area in Sichuan, 2022

  • 摘要:
    目的  探讨2022年四川省某地区健康人群白喉、破伤风抗体水平、影响因素及空间分布。
    方法  采用多阶段抽样法根据该地区地理位置选取11个监测点,再将健康人群分为10个年龄组,共抽取440名监测对象。 采用多因素 logistic 回归及空间自相关分析白破抗体水平的影响因素和空间聚集性。
    结果  白喉、破伤风IgG抗体阳性率分别为72.05%和56.36%,几何平均抗体浓度(GMC)分别为0.56 IU/mL和0.47 IU/mL。 白喉、破伤风各年龄组的IgG抗体阳性率在43.18%(50~59岁)~ 90.91%(<1岁)之间(χ2=63.768,P <0.001)、13.64%(>60岁)~ 93.18%(<1岁)之间(χ2 =190.134,P<0.001)。 空间分析模型全局自相关显示白喉抗体阳性率有显著性意义,局部自相关结果显示白喉抗体阳性率、白喉GMC水平与破伤风GMC水平在空间上形成了3个高–低聚集区、一个低–低聚集区和一个低–高聚集区。 多因素 logistic 回归模型显示,男性、有免疫史与<40岁组对白喉IgG抗体水平的影响为保护因素。 有免疫史、<40岁组是破伤风 IgG 抗体水平的保护因素。
    结论  该地区健康人群白破抗体水平偏低,建议制定或出台针对青少年、成年人与乡镇地区免疫力较弱人群开展额外的白破疫苗、破伤风疫苗的免疫策略,提高全人群白破抗体水平。

     

    Abstract:
    Objective To understand the diphtheria and tetanus antibody levels, influencing factors and related spatial distributions in healthy population in an area Sichuan province in 2022.
    Methods Using the multi-stage sampling method, a total of 11 surveillance points were selected according to the geographical location of the area, and a total of 440 local residents were selected from 10 age groups in health population. Multivariate logistic regression and spatial autocorrelation were used to analyze the influencing factors and spatial distribution of antibody level.
    Results The IgG positive rate was 72.05% for diphtheria and 56.36% for tetanus, and the geometric mean antibody concentration(GMC) was 0.56 IU/mL for diphtheria and 0.47 IU/mL for tetanus. The IgG positive rate ranged from 43.18% (50–59 years) to 90.91% (<1 year) for diphtheria (χ2=63.768, P<0.001) and from 13.64% (>60 years) to 93.18% (<1 year) for tetanus (χ2=190.134, P<0.001). The spatial analysis model showed that the IgG positive rate of diphtheria was significant, and local autocorrelation results showed that diphtheria antibody positive rate, GMC level and tetanus GMC level had three high-low clustering areas, one low-low clustering area and one low-high clustering area. Multivariate Logistic regression models showed that the effects of being man, being immunized, and age <40 years were protective factors for diphtheria antibody level. Being immunized, age <40 years were protective factors for tetanus antibody level.
    Conclusion The diphtheria and tetanus antibody levels in healthy population in this area were low. It is suggested to conduct additional immunization of diphtheria-tetanus (DT)vaccine and tetanus vaccine in adolescents, adults and township population to improve the DTP antibody level in whole population.

     

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