
幼儿园儿童肺炎链球菌携带的聚集性及影响因素分析
Clustering and influencing factors of Streptococcus pneumoniae carriage among kindergarten children
目的 探讨幼儿园儿童肺炎链球菌携带的聚集性及影响因素,为肺炎链球菌性疾病的预防提供科学依据。方法 采用多阶段分层整群抽样的方法,对柳州市1 702名幼儿园儿童进行双侧鼻前庭拭子采样,对其家长进行问卷调查,数据分析采用卡方检验和随机效应logistic回归模型。结果 幼儿园儿童鼻部肺炎链球菌携带率为13.16%(224/1 702)。聚集性分析显示:肺炎链球菌携带在班级水平的随机效应具有统计学意义(Z=2.07,P=0.038),组内相关系数为5.9%。随机效应logistic回归分析表明,5~7岁儿童的肺炎链球菌携带风险低于2~< 5岁儿童(OR=0.55,95% CI:0.40~0.76,P=0.001);同住人口数≥5的儿童的肺炎链球菌携带风险高于同住人口数 < 5的儿童(OR=1.34,95% CI:1.01~1.79,P=0.043)。结论 肺炎链球菌携带存在班级水平的聚集性;年龄和同住人口数是儿童肺炎链球菌携带的重要影响因素。
Objective To study the clustering and influencing factors of Streptococcus pneumoniae carriage among kindergarten children, and to provide a scientific basis for the prevention of pneumococcal diseases. Methods The multi-stage stratified cluster sampling method was used to collect nasal swabs via the nasal vestibule at both sides from 1 702 kindergarten children in Liuzhou, China. A questionnaire survey was performed on their parents. The chi-square test and the random effects logistic regression analysis were used to analyze data. Results The carriage rate of Streptococcus pneumoniae was 13.16% (224/1 702) among kindergarten children. The clustering analysis showed that the class-level random effect of Streptococcus pneumoniae carriage was statistically significant (Z=2.07, P=0.038), with an intraclass correlation coefficient of 5.9%. The random effects logistic regression analysis showed that the children aged 5-7 years had a lower risk of Streptococcus pneumoniae carriage than those aged 2-< 5 years (OR=0.55, 95%CI:0.40-0.76, P=0.001), and the children with ≥ 5 family members living together had a higher risk of Streptococcus pneumoniae carriage than those with < 5 family members (OR=1.34, 95%CI:1.01-1.79, P=0.043). Conclusions Streptococcus pneumoniae carriage shows a class-level clustering effect, and age and the number of cohabitants are important influencing factors for Streptococcus pneumoniae carriage in children.
Streptococcus pneumoniae / Clustering / Random effects model / Child
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国家自然科学基金(81973069);广东省基础与应用基础研究基金(2019A1515010915);柳州市科技局科技项目(2018BJ10502);广西卫健委项目(Z20180022)。