We propose a parametric model for describing chronic disease mortality from cohort data and illustrate its use for Type 2 diabetes. The model uses ideas from accelerated life testing in reliability theory and conceptualizes the occurrence of a chronic disease as putting the observational unit to an enhanced stress level, which is supposed to shorten its lifetime. It further addresses the issue of semi-competing risk, that is, the asymmetry of death and diagnosis of disease, where the disease can be diagnosed before death, but not after.
View Article and Find Full Text PDFObjective: Health effects of different physical activity domains (ie, during leisure time, work and transport) are generally considered positive. Using data, we assessed independent associations of occupational and leisure-time physical activity (OPA and LTPA) with all-cause mortality.
Design: Two-stage individual participant data meta-analysis.
Background: Heart rate variability (HRV), an important marker of autonomic nervous system activity, is usually determined from electrocardiogram (ECG) recordings corrected for extrasystoles and artifacts. Especially in large population-based studies, computer-based algorithms are used to determine RR intervals. The Modular ECG Analysis System MEANS is a widely used tool, especially in large studies.
View Article and Find Full Text PDFBackground: Since physical activity is an important determinant of physical and mental health, lower levels of physical activity among mothers reported in previous research are concerning. The aim of this study was to examine whether physical activity levels differ among mothers depending on the age of the youngest child.
Methods: Cross-sectional data from the German National Cohort study, comprising 3959 mothers aged 22-72 years with offspring aged 0-54 years (grouped into 0-5, 6-11, 12-17, 18-29 and > 30 years) was used.