摘要
目的探讨广州市恙虫病发病的危险因素,为恙虫病防控提供依据。方法采用1∶1匹配的病例对照研究,以年龄和性别为匹配条件,分别选取202个病例和202例对照,运用统一设计的调查问卷,使用SPSS20.0进行单因素和多因素Logistic回归分析。结果单因素分析显示:外出或旅游史、高户外活动频次、住房类型和住宅附近有草地、菜地或沟塘在病例组和对照组间差异均有统计学意义(均有P<0.05)。多因素Logistic回归分析显示:外出或旅游史、高户外活动频次、住宅附近有草地、菜地或沟塘在病例组和对照组间差异均有统计学意义(均有P<0.05),其OR(95%CI)值分别是10.124(95%CI:2.220~46.163)、2.348(95%CI:1.431~3.853)和1.801(95%CI:1.180~2.748)。结论外出或旅游、高户外活动频次和住宅附近有草地、菜地或沟塘是广州市恙虫病发病的危险因素。
Objective To explore the risk factors of scrub typhus in Guangzhou City, and to provide the basis for making preventive and controlling measures of scrub typhus. Methods Case-control study was used with the ratio of 1 to 1. A total of 202 patients were selected as cases and 202 heahhy residents matched for age and gender were recruited as controls. Face-to-face interview was conducted with unified design survey questionnaire and the exposure history of suspi- cious risk factors was collected. Data was analyzed by single factor described statistics and muhivariable Logistic regression in SPSS 20. 0. Results The results of single factor described statistics showed that there were significant differences in the history of outdoor activity or travel, the high frequency of outdoor activity, house tying and living in the house near grass- land, vegetable field or ditch between case group and control group( all P 〈0.05 ). Muhivariable logistic regression analy- sis showed that the history of outdoor activity or travel, the high frequency of outdoor activity and living iri the house near grassland, vegetable field or ditch were risk factors (all P 〈 0. 05 ) , with the odd ratio and 95% confidence interval of 10. 124(95% CI: 2. 220-46. 163), 2. 348 (95% CI: 1. 431-3. 853) and 1. 801 (95% CI:1. 180 -2. 748) respectively. Conclusions The history of outdoor activity or travel, the high frequency of outdoor activity and living in the house near grassland, vegetable field or ditch are risk factors of scrub typhus in Guangzhou City.
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2017年第2期171-174,共4页
Chinese Journal of Disease Control & Prevention
基金
广东省自然科学基金(2015A030313813)
广东省科技计划项目(2013B0218000280)
广州市科技计划项目(201607010130)