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Syphilis, gonorrhoea, and drug abuse among pregnant women in Jefferson County, Alabama, US, 1980-94: monitoring trends through systematically collected health services data

机译:美国阿拉巴马州杰斐逊县孕妇的梅毒,淋病和药物滥用,1980-94年:通过系统收集的卫生服务数据监测趋势

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摘要

OBJECTIVE: To assess the association between self reported drug abuse and syphilis and gonorrhoea among pregnant women, Jefferson County, Alabama, United States, 1980-94. STUDY DESIGN: We analysed a prenatal care database and assessed the association of self reported drug use with seropositive syphilis and gonorrhoea using prevalence rates, multiple logistic regression models, and the Pearson correlation coefficient (r) for trends. RESULTS: Overall, 5.5% of the women acknowledged drug abuse, 1.4% had seropositive syphilis, and 4.8% had gonorrhoea. In a multivariate analysis, drug abuse was associated with syphilis (odds ratio 2.9, 95% confidence interval 1.6, 5.3) but not with gonorrhoea. Trends in the annual prevalence of drug abuse closely paralleled trends in the annual prevalence of syphilis, including simultaneous peaks in 1992 (drug abuse, 9.1%; syphilis, 3.2%). There was no such parallel trend between drug abuse and gonorrhoea. Annual prevalence of drug abuse correlated with the prevalence of syphilis (r = 0.89, p = 0.001) more than with the prevalence of gonorrhoea (r = 0.45, p = 0.201). CONCLUSION: Among pregnant women, an increase in drug abuse was closely associated with an epidemic of syphilis, but not of gonorrhoea. Systematically collected prenatal care data can usefully supplement surveillance of diseases and behavioural risk factors associated with them. 





机译:目的:评估1980-94年美国阿拉巴马州杰斐逊县孕妇自我报告的药物滥用与梅毒和淋病之间的关系。研究设计:我们分析了产前护理数据库,并使用患病率,多元logistic回归模型和趋势的皮尔逊相关系数(r)评估了自我报告的药物使用与血清阳性梅毒和淋病之间的关联。结果:总体而言,有5.5%的女性承认药物滥用,有1.4%的患者患有血清阳性梅毒,有4.8%的患者患有淋病。在多变量分析中,药物滥用与梅毒有关(优势比为2.9,95%置信区间为1.6、5.3),但与淋病无关。每年药物滥用的流行趋势与梅毒的年度流行趋势非常相似,包括1992年同时达到峰值(药物滥用,9.1%;梅毒,3.2%)。吸毒和淋病之间没有类似的趋势。年度吸毒流行率与梅毒患病率相关(r = 0.89,p = 0.001),而与淋病患病率相关(r = 0.45,p = 0.201)。结论:在孕妇中,药物滥用的增加与梅毒的流行密切相关,但与淋病无关。系统收集的产前护理数据可以有效地补充对疾病和与其相关的行为危险因素的监测。

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