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
SDB carries distinct cardiometabolic implications across German and South Korean populations, reflecting differences in adiposity related susceptibility and underlying disease burden, and AHI should be interpreted alongside population appropriate measures of adiposity and cardiometabolic risk.
M. Salanitro, A. Weihs, Seung Ku Lee et al.· Sleep Medicine· 0 citations
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.· Frontiers in Nutrition· 1 citation
ABSTRACT Background Recent studies have indicated that body composition may affect kidney function. The aim of this study was to examine the sex- and age-related association between body composition markers and the estimated glomerular filtration rate (eGFR). Methods Analyses were based on data from the population-base...
Marlene Agnes Günther, T. Ittermann, H. Völzke et al.· Clinical Kidney Journal· 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
This deep learning tool effectively resolved the bottleneck of manual segmentation, providing comprehensive orbital reference data for the German population and enabling future high-throughput epidemiological research into the associations between orbital anatomy, systemic health, and disease.
Navid Farassat, M. Reisert, S. Rospleszcz et al.· Scientific Reports· 0 citations
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