Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis
Sign Up to like & getrecommendations! Published in 2020 at "Obesity Reviews"
DOI: 10.1111/obr.13023
Abstract: Body roundness index (BRI) is a new anthropometric index developed to predict both body fat and the percentage of visceral adipose tissue. Our aim was to investigate whether BRI is superior to traditional anthropometric indices… read more here.
Keywords: body roundness; index; roundness index; predicting metabolic ... See more keywords
An anthropometry-based nomogram for predicting metabolic syndrome in the working population
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Cardiovascular Nursing"
DOI: 10.1177/1474515119879801
Abstract: Background: Early detection of metabolic syndrome is highly desirable for the prevention and treatment of various diseases. Therefore, this study aimed to develop and validate an anthropometry-based nomogram for predicting metabolic syndrome in a working… read more here.
Keywords: based nomogram; anthropometry based; nomogram predicting; predicting metabolic ... See more keywords
Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study
Sign Up to like & getrecommendations! Published in 2018 at "BMC Endocrine Disorders"
DOI: 10.1186/s12902-018-0281-z
Abstract: BackgroundTo compare the accuracy of different obesity indexes, including waist circumference (WC), weight-to-height ratio (WHtR), body mass index (BMI), and lipid accumulation product (LAP), in predicting metabolic syndrome (MetS) and to estimate the optimal cutoffs… read more here.
Keywords: index; rural chinese; optimal cutoffs; predicting metabolic ... See more keywords
Predicting metabolic modules in incomplete bacterial genomes with MetaPathPredict
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DOI: 10.7554/elife.85749
Abstract: The reconstruction of complete microbial metabolic pathways using ‘omics data from environmental samples remains challenging. Computational pipelines for pathway reconstruction that utilize machine learning methods to predict the presence or absence of KEGG modules in… read more here.
Keywords: presence; kegg modules; predict presence; modules incomplete ... See more keywords