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住宅潮湿和霉菌与呼吸道感染和支气管炎的关联:一项荟萃分析。

Association of residential dampness and mold with respiratory tract infections and bronchitis: a meta-analysis.

机构信息

Indoor Environment Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, USA.

出版信息

Environ Health. 2010 Nov 15;9:72. doi: 10.1186/1476-069X-9-72.

Abstract

BACKGROUND

Dampness and mold have been shown in qualitative reviews to be associated with a variety of adverse respiratory health effects, including respiratory tract infections. Several published meta-analyses have provided quantitative summaries for some of these associations, but not for respiratory infections. Demonstrating a causal relationship between dampness-related agents, which are preventable exposures, and respiratory tract infections would suggest important new public health strategies. We report the results of quantitative meta-analyses of published studies that examined the association of dampness or mold in homes with respiratory infections and bronchitis.

METHODS

For primary studies meeting eligibility criteria, we transformed reported odds ratios (ORs) and confidence intervals (CIs) to the log scale. Both fixed and random effects models were applied to the log ORs and their variances. Most studies contained multiple estimated ORs. Models accounted for the correlation between multiple results within the studies analyzed. One set of analyses was performed with all eligible studies, and another set restricted to studies that controlled for age, gender, smoking, and socioeconomic status. Subgroups of studies were assessed to explore heterogeneity. Funnel plots were used to assess publication bias.

RESULTS

The resulting summary estimates of ORs from random effects models based on all studies ranged from 1.38 to 1.50, with 95% CIs excluding the null in all cases. Use of different analysis models and restricting analyses based on control of multiple confounding variables changed findings only slightly. ORs (95% CIs) from random effects models using studies adjusting for major confounding variables were, for bronchitis, 1.45 (1.32-1.59); for respiratory infections, 1.44 (1.31-1.59); for respiratory infections excluding nonspecific upper respiratory infections, 1.50 (1.32-1.70), and for respiratory infections in children or infants, 1.48 (1.33-1.65). Little effect of publication bias was evident. Estimated attributable risk proportions ranged from 8% to 20%.

CONCLUSIONS

Residential dampness and mold are associated with substantial and statistically significant increases in both respiratory infections and bronchitis. If these associations were confirmed as causal, effective control of dampness and mold in buildings would prevent a substantial proportion of respiratory infections.

摘要

背景

定性研究表明,潮湿和霉菌与多种不良呼吸道健康影响有关,包括呼吸道感染。几项已发表的荟萃分析为其中一些关联提供了定量总结,但没有涉及呼吸道感染。证明与潮湿相关的可预防暴露因素之间存在因果关系,将为新的重要公共卫生策略提供依据。我们报告了定量荟萃分析的结果,这些分析检查了家庭中的潮湿或霉菌与呼吸道感染和支气管炎之间的关联。

方法

对于符合入选标准的主要研究,我们将报告的比值比(OR)和置信区间(CI)转换为对数标度。应用固定效应模型和随机效应模型对对数 OR 及其方差进行分析。大多数研究包含多个估计的 OR。模型考虑了分析中研究内多个结果之间的相关性。一组分析包括所有符合条件的研究,另一组分析仅限于控制年龄、性别、吸烟和社会经济地位的研究。评估亚组研究以探索异质性。漏斗图用于评估发表偏倚。

结果

基于所有研究的随机效应模型汇总估计的 OR 范围为 1.38 至 1.50,在所有情况下,95%CI 均排除了零值。使用不同的分析模型和根据多个混杂变量的控制限制分析仅略微改变了发现。基于调整主要混杂变量的研究使用随机效应模型的 OR(95%CI)为,支气管炎为 1.45(1.32-1.59);呼吸道感染为 1.44(1.31-1.59);呼吸道感染不包括非特异性上呼吸道感染为 1.50(1.32-1.70),儿童或婴儿呼吸道感染为 1.48(1.33-1.65)。发表偏倚的影响很小。估计的归因风险比例范围为 8%至 20%。

结论

住宅潮湿和霉菌与呼吸道感染和支气管炎的显著且具有统计学意义的增加有关。如果这些关联被证实具有因果关系,那么有效控制建筑物中的潮湿和霉菌将预防相当一部分呼吸道感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec3/3000394/535a15162a63/1476-069X-9-72-1.jpg

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