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Environmental research v.160, 2018년, pp.115 - 120   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Latent class analysis to model multiple chemical exposures among children

Hendryx, Michael (Department of Environmental and Occupational Health, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405, United States ) ; Luo, Juhua (Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405, United States ) ;
  • 초록  

    Abstract 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 unobservable 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. Highlights Latent class analysis identified subgroups of children with unique chemical exposure profiles. Three subgroups were identified. One subgroup comprised children with high multiple co-exposures. Latent classes were sometimes associated with lymphocyte and neutrophil counts.


  • 주제어

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

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