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N. Obi

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Review Open access Aug 2026

Usual dietary intake estimation in the German National Cohort (NAKO)

Introduction Accurate measurement of dietary intake remains challenging in large-scale nutritional studies. This study aimed to develop and evaluate both a practical dietary assessment strategy and a computationally efficient statistical method for estimating usual dietary intake in the German National Cohort (NAKO Ges...

N. Wawro, Sylvia Gastell, R. Mikolajczyk et al. · 1 citation
Open access Sep 2026

Analysis of ultra short-chain PFAS in urine: method development by LC-MS/MS and first human biomonitoring results from the German National Cohort (NAKO).

Ultra short-chain perfluoroalkyl substances (USC PFAS) with C1-C3 chain lengths are increasingly important. Globally, trifluoroacetic acid (TFA) makes up the largest proportion of PFAS in the environment, however, knowledge about human internal exposure to these substances is scarce. We present a new, fast and robust h...

S. Selke, Martin Koenig, N. Obi et al. · 0 citations
Review Open access Sep 2026

Environmental exposures and mental health: longitudinal results from the German National Cohort (NAKO).

BACKGROUND Environmental exposures such as air pollution, population density, and climate-related stressors may influence mental health, yet large-scale longitudinal evidence is limited. This study examined associations of environmental exposures with depressive and anxiety symptoms, and stress in the German National C...

Yan-Ding Wang, Susanne Breitner-Busch, K. Wolf et al. · 0 citations
Open access Aug 2026

Examining the Contribution of Childhood Maltreatment to the Sex Gap in Depression: Insights from the German National Cohort (NAKO).

Childhood maltreatment accounts for a substantial proportion of depression in both sexes, with stronger overall associations in females, and sex-specific prevention may help reduce depression prevalence.

Maja P. Völker, A. L. Kresken, J. Foo et al. · 0 citations
Open access Aug 2025

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests

Abstract Background Synthetic data hold substantial potential to address practical challenges in epidemiology due to restricted data access and privacy concerns. However, many current methods suffer from limited quality, high computational demands, and complexity for non-experts. Furthermore, common evaluation strategi...

J. Kapar, K. Günther, L. Vallis et al. · 1 citation

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