• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Environmental research >Latent class analysis to model multiple chemical exposures among children
【24h】

Latent class analysis to model multiple chemical exposures among children

机译：潜在类别分析以模拟儿童中的多种化学物暴露

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background: Children are exposed to multiple potentially harmful chemicals simultaneously. Efforts to understand the patterns and consequences of these exposures have been hampered by statistical limitations in estimations of higher order interactions. Objectives: The current study uses latent class analysis, a form of person-centered modeling to identify un-observable subgroups within populations and examine relationships between latent classes and measures of immune function. Methods: Data from the National Health and Nutrition Examination Survey 2011-2012 were analyzed. A sample of 721 children aged 6-19 years were included who provided data on 47 chemicals of interest representing six chemical classes. Groups were identified using latent class analysis controlling for race/ethnicity, age, sex and poverty status. Results: Two alternative approaches to identifying latent classes each resulted in similar three class solutions, including one group of children characterized by low co-exposures across chemicals, a group with moderate co-exposure levels, and a group characterized by high co-occurring levels of polycyclic aromatic hydrocarbons, volatile organic compounds, phenols and phthalates. Under one of the approaches, latent classes were significantly associated with immune function as measured by lymphocyte and neutrophil counts. Conclusions: Latent class analysis offers a potential approach to measuring and understanding interactions among multiple co-occurring chemical stressors. However, additional work is needed to test the ability of latent classes to predict health variables.
机译：背景：儿童同时接触多种潜在有害的化学物质。由于对高级交互作用的估计中的统计限制，阻碍了人们理解这些暴露方式和后果的努力。目的：本研究使用潜伏类分析（一种以人为中心的建模形式），以识别人群中无法观察到的亚组，并检查潜伏类与免疫功能测量之间的关系。方法：分析2011-2012年美国国家健康和营养调查的数据。样本包括721名6-19岁的儿童，他们提供了代表6种化学类别的47种感兴趣化学物质的数据。使用控制种族/族裔，年龄，性别和贫困状况的潜在类别分析来识别人群。结果：识别潜在类别的两种替代方法各产生相似的三类解决方案，包括一组儿童中多种化学品共同暴露水平较低的一组儿童，一组中度共同暴露水平较高的儿童以及一组共同发生水平较高的人群多环芳烃，挥发性有机化合物，酚和邻苯二甲酸酯。在其中一种方法下，潜在类别与免疫功能显着相关，如淋巴细胞和中性粒细胞计数所测。结论：潜在类别分析提供了一种潜在的方法，用于测量和理解多个同时发生的化学应激源之间的相互作用。但是，还需要其他工作来测试潜在类预测健康变量的能力。

著录项

  • 来源
    《Environmental research》 |2018年第1期|115-120|共6页
  • 作者

    Michael Hendryx; Juhua Luo;

  • 作者单位

    Department of Environmental and Occupational Health, School of Public Health, Indiana University, 1025 E 7th St, Bloomington, IN 47405, United States;

    Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St, Bloomington, IN 47405, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Children; NHANES; Latent class analysis; Chemical exposures; Race and ethnicity;

    机译：儿童;HAN潜在类别分析;化学暴露;种族与民族;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号