Previous Project

"Combining individual and central site measurements of ultrafine particles: Complex statistical analyses of source-dependent health effects" (2010 - ongoing)

Study objectives:
This study aimed at developing and applying statistical methods for combining individual exposure data and central site measurements in the Augsburger Umweltstudie (EPA STAR 2).

Specific aims:
The project addressed the following three objectives:

  1. Developing and applying statistical methods for taking into account measurement errors in the Augsburger Umweltstudie, a panel study assessing the health effects of particulate air pollution.

  2. Conducting a validation study for assessing measurement errors in the framework of the Augsburger Umweltstudie.

  3. Developing and applying models on health effects associated with single emission sources, taking into account the uncertainty related to source apportionment modeling.

Study design:
Prospective cohort study, panel study.

Study population:
Residents of Augsburg.

Study area:
Augsburg, Germany

Study methods:

Exposure Assessment:  Personal particle exposure measurements, central site measurements, activity diaries
Health outcomes: Cardiac rhythm characterized by ECG measures
Statistical Methods: Measurement error models, mixed models.

Study period:

2010 - 2012

Current status:
Field work and analyses completed; paper drafting ongoing.


  • LMU München – Department für Statistik: Helmut Küchenhoff (PI), Vroni Fensterer (development of statistical models, statistical analysis)
  • Helmholtz Zentrum München - Institute of Epidemiology II: Annette Peters (Co-PI), Susanne Breitner (project coordination, statistical analysis), Alexandra Schneider (consultant), Jianwei Gu (exposure assessment)
  • University of Augsburg – WZU: Josef Cyrys (Co-PI), Mike Pitz (exposure assessment)


German Research Foundation (DFG), Germany (2010-2012)

Related publication:

  • Personal exposure to ultrafine particles: Two-level statistical modeling of background exposure and time-activity patterns during three seasons.
    Deffner V, Küchenhoff H, Maier V, Pitz M, Cyrys J, Breitner S, Schneider A, Gu J, Geruschkat U, Peters A.
    J Expo Sci Environ Epidemiol. 2016 Jan-Feb;26(1):17-25. doi: 10.1038/jes.2014.73. Epub 2014 Nov 19.

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