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恶性淋巴瘤影响因素病例对照研究 被引量:4

Matched case-control study on risk factors for malignant lymphoma
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摘要 目的探讨恶性淋巴瘤(ML)发生的危险因素。方法采用以医院病例为基础的1:2配比病例对照研究方法,对从江苏省南通市4家医院收集的72例经组织病理学确诊的恶性淋巴瘤(ML)患者及144例其他肿瘤和非肿瘤对照进行问卷调查。采用多分类结局Logistic回归分析模型拟合的方法,单因素和多因素分析ML的相关因素。结果住所周围环境污染(OR=2.747,90%CI=1.216~6.204)、经常接触有机溶剂(OR=4.310,90%CI=1.079~17.219)、经常接触化肥农药(OR=2.648,90%CI=1.188~5.903)、本人其他肿瘤史(OR=7.586,90%CI=1.202~47.890)、家族肿瘤史(OR=5.268,90%CI=2.054~13.515)等5个因素可能增加ML的危险性;而经常吃淡水鱼虾(OR=0.456,90%CI=0.246~0.842)可降低ML的危险性。结论恶性淋巴瘤影响因素较为复杂,环境污染、化学毒物接触及家族史是主要危险因素。 Objective To investigate potential risk factors for malignant lymphoma (ML). Methods A hospital- based 1:2 matched case - control study was carried out with 72 cases of ML pathologically diagnosed and 144 non - ML neoplasm and non - neoplasm controls in Nantong city, Jiangsu province. Data were collected by face - to - face interview with questionnaire. Data were analyzed through fitting a multidimensional Logistic regression models to select related variables by Stata version 7.0 software. Results Environmental pollution ( OR = 2. 747, 90 % CI = 1.216 - 6.204), exposure to organic solvents (OR = 4. 310, 90% CI = 1.079 - 17.219), exposure to fertilizer and pesticide ( OR = 2. 648, 90% CI = 1.188 - 5.903), medical history of cancer other than ML (OR = 7.586, 90% CI = 1.202-47. 890) and family history of cancer (OR = 5.268, 90% CI = 2.054-13. 515 ) were all associated with increased risk for ML. Frequent intake of freshwater fish and shrimp (OR =0.456,90%CI =0.246-0.842),however, could decrease the risk for ML. Conclusion Environmental pollution, exposure to organic solvent, exposure to fertilizer and pesticide, medical history of cancer other than ML and family history of cancer seemed to be associated with ML, while frequendy eating freshwater fish and shrimp could reduce the risk for ML.
出处 《中国公共卫生》 CAS CSCD 北大核心 2007年第8期920-922,共3页 Chinese Journal of Public Health
关键词 恶性淋巴瘤 危险因素 配比病例对照研究 多类结局Logistic回归模型 malignant lymphoma risk factor matched case - control study multidimensional Logistic regression model
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参考文献10

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