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Impervious Density and Borrelia burgdorferi s.l. Seropositivity within the German National Cohort (NAKO)

Oct 13, 2025, 6:57 PM
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Area C

Area C

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Speaker

Philine Betker (Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany.)

Description

Introduction
The environment influences tick density and activity. We investigated the effect of varying buffers around the residential address on the association between impervious density and Borrelia burgdorferi s.l. seropositivity in NAKO (German National Cohort) participants.
Methods
We included 14,195 participants from four NAKO study centers. Impervious density was dichotomized indicating the presence (<0.3) or the absence (≥0.3) of greenspace at home addresses during baseline examination (2014 – 2019). Utilizing an enzyme‐linked immunosorbent assay (ELISA) B. burgdorferi s.l. antibodies (IgG) were measured in blood samples. Previous analyses showed associations for age, sex and migration background. We performed adjusted hierarchical models with the study centers as random intercept.
Results
We detected an OR of 1.85 (95%-CI 1.39 – 2.48) for a 100 m buffer of less imperviousness compared to higher impervious density, of 1.59 (1.23 – 2.05) for a 250 m buffer, of 1.52 (1.22 – 1.90) for a 500 m buffer, of 1.26 (1.03 – 1.55) for a 1000 m buffer and of 1.01 (0.81 – 1.25) for a 5000 m buffer. When stratifying for the degree of urbanization the association between imperviousness and IgG-seropositivity was significant for the urban subgroup and the 100 m buffer only (OR 1.60, 95%-CI 1.05 – 2.44).
Conclusion
Our findings of possibly adverse effects of less imperviousness (in a 100 m buffer) contrast with the potentially beneficial effects of green spaces, e.g. on mental health.

Keywords

Borrelia burgdorferi, vectors, impervious density, NAKO, seroprevalence

Registration ID OHS25-90
Professional Status of the Speaker PhD Student
Junior Scientist Status Yes, I am a Junior Scientist.

Authors

Philine Betker (Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany.) Ms Dörthe Meyerdierks (Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany; Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstraße 7, 38124 Braunschweig, Germany; Ph.D. Programme "Epidemiology", Braunschweig-Hannover, Germany.)

Co-authors

Dr Kathrin Wolf (Institute of Epidemiology, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Neuherberg, Germany) Prof. André Karch (Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany) Prof. Annette Peters (Institute of Epidemiology, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany) Prof. Tobias Pischon (Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Biobank Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Charité - Universitätsmedizin Berlin, Berlin, Germany) Dr Carolina J. Klett-Tammen (Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany) Dr Stefanie Castell (Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany)

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