scispace - formally typeset
O

O. Korth

Researcher at University of Kiel

Publications -  8
Citations -  1491

O. Korth is an academic researcher from University of Kiel. The author has contributed to research in topics: Metabolic syndrome & Resting energy expenditure. The author has an hindex of 7, co-authored 8 publications receiving 1357 citations.

Papers
More filters
Journal ArticleDOI

Body fluid volume determination via body composition spectroscopy in health and disease

TL;DR: Two new equations for determination of ECW and ICW based on Hanai mixture theory but corrected for body mass index are presented, suggesting BCS may be an appropriate method for body fluid volume determination over a wide range of body compositions in different states of health and disease.
Journal ArticleDOI

A whole-body model to distinguish excess fluid from the hydration of major body tissues

TL;DR: A model to determine fixed hydration constants of primary body tissues enabling ExF to be calculated from whole-body measurements of weight, intracellular water (ICWWB), and extracellularWater (ECWWB) is developed.
Journal ArticleDOI

Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors.

TL;DR: At the population level, measurement of body FM has no advantage over BMI and WC in the prediction of obesity-related metabolic risk, and measures of central adiposity (WC, WC/ht) tended to show closer associations with risk factors than measures of general adiposity, suggesting an equivalent value of methods.
Journal ArticleDOI

Influence of methods used in body composition analysis on the prediction of resting energy expenditure

TL;DR: Differences in slopes and intercepts of the regression lines between REE and FFM depended on the methods used for body composition analysis, which imply a population- and/or investigator specificity of algorithms for REE prediction.
Journal ArticleDOI

Common familial influences on clustering of metabolic syndrome traits with central obesity and insulin resistance: the Kiel obesity prevention study.

TL;DR: A common genetic background contributes to the clustering of different MSX component traits and central obesity or insulin resistance, and MSX phenotype was found to be highly variable, comprising 16 subtypes of component trait combinations.