女性系统性硬皮病发病影响因素的病例对照研究

王玉杰; 黄晓磊; 段禹; 杨国俊; 陶金辉; 陈珊宇; 徐建华; 李向培; 吴国翠; 王静; 叶冬青

doi:10.16462/j.cnki.zhjbkz.2016.06.010

女性系统性硬皮病发病影响因素的病例对照研究

doi: 10.16462/j.cnki.zhjbkz.2016.06.010

1. 安徽医科大学公共卫生学院流行病与卫生统计学系, 安徽合肥 230032;
2. 安徽医科大学附属省立医院风湿免疫科, 安徽合肥 230001;
3. 安徽医科大学第一附属医院风湿免疫科, 安徽合肥 230022

基金项目:

国家自然科学基金（81271759）；安徽省自然科学基金（1308085MH169）；安徽省教育厅自然科学研究项目（KJ2012A165）；安徽医科大学2012级临床医学“5+3”早期接触科研训练项目（2015-ZQKY-69）

详细信息

作者简介:
王玉杰(1991-),女,河南商丘人,在读硕士研究生。主要研究方向:慢病病因的流行病学研究、疾病统计。

中图分类号: R593.25;R181
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出版历程
- 收稿日期: 2016-01-26
- 修回日期: 2016-04-13

A case-control study on influencing factors for the risk of systemic sclerosis among women

1. Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China;
2. Department of Rheumatology and Immunology, Anhui Medical University, Anhui Provincial Hospital, Hefei 230001, China;
3. Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui Medical University, Hefei 230032, China

摘要

摘要: 目的探讨月经生育因素、日常生活方式和环境因素与女性系统性硬皮病（systemic sclerosis，SSc）患病的关联。方法 2012年8月～2015年12月，收集来自于安徽医科大学附属医院的100例女性SSc患者和来自于合肥市社区的400例女性对照的相关信息，用单因素和多因素非条件Logistic回归分析影响SSc患病的因素。结果单因素Logistic回归分析发现11个因素与SSc的患病有关。多因素Logistic回归分析显示，肥胖（OR=0.464，95% CI：0.229～0.939）为SSc的保护因素，而农民（OR=4.458，95% CI：2.379～8.352）、教师/会计/文员（OR=9.740，95% CI：3.153～30.909）、制鞋/服装/纺织工人（OR=16.150，95% CI：4.933～52.873）、偏瘦（OR=3.733，95% CI：1.440～9.636）、服用避孕药（OR=3.994，95% CI：1.291～12.361）、流产（OR=4.679，95% CI：2.365～9.258）、其他接触的人吸烟（OR=5.059，95%CI：2.582~9.913）、噪声暴露（OR=2.184，95% CI：1.018～4.685）、有机溶剂暴露（OR=4.432，95% CI：1.158～16.965）、药物过敏史（OR=3.564，95% CI：1.425～8.916）为SSc患病的危险因素。结论多个环境因素与SSc的患病有关，应针对性加强SSc的预防和患者康复工作。
- 硬皮病,系统性 /
- 危险因素 /
- Logistic模型
Abstract: Objective To explore the impact of menstrual and obstetrical factors, daily lifestyle and environmental factors on systemic sclerosis (SSc) among women. Methods 100 female SSc patients from affiliated hospitals of Anhui Medical University and 400 female controls from communities of Hefei city were recruited from August 2012 to December 2015.Univariate and multiple Logistic regression analyses were used to examine the associations of environmental factorswith SSc risk. Results There were 11 factors associated with SSc when univariate unconditional Logistic regression was used. Multiple Logistic aggression analysis revealed that obesity (OR=0.464, 95% CI:0.229-0.939) was protective factor for SSc, and farmers (OR=4.458, 95% CI:2.379-8.352), teachers/accountant/clerk (OR=9.740, 95% CI:3.153-30.909), cobbler/textile worker/garment worker(OR=16.150, 95% CI:4.933-52.873), thinner (OR=3.733,95% CI:1.440-9.636), taking birth control pills (OR=3.994,95% CI:1.291-12.361), abortion (OR=4.679,95% CI:2.365-9.258), other contact people smoking (OR=5.059,95% CI:2.582-9.913), noise exposure (OR=2.184,95% CI: 1.018-4.685), organic solvents exposure (OR=4.432,95% CI:1.158-16.965) and history of drug allergy (OR=3.564,95% CI:1.425-8.916) were risk factors for SSc.Conclusions Many environmental factors were related to SSc. Preventive measures for SSc and rehabilitation measures for patients should be reinforced.
- Systemic sclerosis /
- Risk factors /
- Logistic regression

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