Risk factors for measles among adults in Tianjin, China: Who should be controls in a case-control study?

Risk factors for measles among adults in Tianjin, China: Who should be controls in a case-control study?
复制标题

DOI:
10.1371/journal.pone.0185465
复制
发表时间:
2017-09-26
期刊:
影响因子:
3.7
通讯作者:
Wang, Xiexiu
Wang, Xiexiu
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wagner, Abram L.;Boulton, Matthew L.;Wang, Xiexiu

文献摘要

被引文献

相似文献

背景:在以往疫苗可预防疾病的病例对照研究中,对照组包括对疾病免疫的人。本研究调查了中国天津20至49岁成年人麻疹感染的危险因素,并比较了麻疹IgG抗体阴性对照和所有对照(IgG阴性和IgG阳性)的结果。方法选取2011 - 2015年天津市某疾病登记处的麻疹病例和社区登记处的对照病例。通过最佳子集选择程序,我们比较了在使用igg阴性对照或所有对照时在不同模型尺寸下选择的变量。我们在两个独立的logistic回归模型中输入麻疹的危险因素:一个是麻疹igg阴性对照,另一个是所有对照。结果共纳入麻疹病例384例,社区对照1596例(igg阴性194例)。去医院是一个重要的风险因素。对于专科医院,igg阴性对照的比值比(OR)为4.53(95%可信区间(CI): 1.28, 16.03),所有对照的比值比(OR)为5.27 (95% CI: 2.73, 10.18)。根据对照组,年龄或在天津的时间长短等变量的选择有所不同。居住在天津的个人
BackgroundControl groups in previous case-control studies of vaccine-preventable diseases have included people immune to disease. This study examines risk factors for measles acquisition among adults 20 to 49 years of age in Tianjin, China, and compares findings using measles IgG antibody-negative controls to all controls, both IgG-negative and IgGpositive.MethodsMeasles cases were sampled from a disease registry, and controls were enrolled from community registries in Tianjin, China, 2011 - 2015. Through a best subsets selection procedure, we compared which variables were selected at different model sizes when using IgG-negative controls or all controls. We entered risk factors for measles in two separate logistic regression models: one with measles IgG-negative controls and the other with all controls.ResultsThe study included 384 measles cases and 1,596 community controls (194 IgG-negative). Visiting a hospital was an important risk factor. For specialty hospitals, the odds ratio (OR) was 4.53 (95% confidence interval (CI): 1.28, 16.03) using IgG-negative controls, and OR = 5.27 (95% CI: 2.73, 10.18) using all controls. Variables, such as age or length of time in Tianjin, were differentially selected depending on the control group. Individuals living in Tianjin