Background: Cardio-kidney-metabolic (CKM) diseases share risk factors, but their shared and distinct risk factors for disease progression remain unclear. We examined whether classical risk factors predict baseline CKM indicators and their longitudinal changes in a population-based German National Cohort (NAKO) sample....
S. G. Chiappe, K. Nimptsch, I. M. Velásquez et al.· medRxiv· 0 citations
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.· Environment International· 0 citations
In this large sample of predominantly healthy adults, a combination of lifestyles, foremost driven by not smoking, was weakly associated with lower HbA1c levels but not self-reported diabetes, and lifestyle factors may be relevant for glycemic control.
G. Maskarinec, Rebecca Klapp, U. Nöthlings et al.· Scientific Reports· 0 citations
Baseline mental health years before infection is the strongest pre-infection predictor of PCC among the infected, and the association held across the pre-specified sensitivity analyses.
C. Flint, C. Spreckelsen, C. Otto et al.· medRxiv· 0 citations
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.· Psychotherapy and Psychosoma...· 0 citations
Adversarial random forests (ARF) reliably generates high-quality synthetic data that replicate diverse epidemiological analyses while offering a competitive privacy–utility trade-off.
J. Kapar, K. Günther, L. Vallis et al.· International Journal of Epi...· 1 citation
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