Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides.

BMC complementary and alternative medicine - 10 Feb 2016

Lee Bum Ju, Nam Jiho, Kim Jong Yeol

Abstract excerpt

BACKGROUND: The hypertriglyceridemic waist (HW) phenotype has been shown to be strongly associated with metabolic abnormalities; however, to date, no study has reported the prediction of metabolic abnormalities using the HW phenotype along with waist circumference (WC) and the triglyceride (TG) level or various phenotypes consisting of an individual anthropometric index combined with the TG level. The objectives...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over
Share to Body Weights and Measures

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cholesterol

Share to Metabolic Diseases

Share to Republic of Korea

Share to Triglycerides

Share to Waist Circumference

Share to Waist-Hip Ratio

Source

Open in PubMed Open full text

Identifiers

PMID: 26861162
DOI: 10.1186/s12906-016-1024-1
PMCID: PMC4748450

Genes

DBP

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides.PMID 26861162Read ↗

Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults.Semantic proximity Read ↗

Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.Semantic proximity Read ↗

The hypertriglyceridemic-waist phenotype as a valuable and integrative mirror of metabolic syndrome traits.Semantic proximity Read ↗

Association of hypertriglyceridemic waist phenotype with metabolic syndrome traits and its diagnostic potential to predict metabolic syndrome in adults with excess body weight: A community-based cross-sectional study.Semantic proximity Read ↗

Clustering of metabolic abnormalities in adolescents with the hypertriglyceridemic waist phenotype.Semantic proximity Read ↗

The hypertriglyceridemic waist phenotype and metabolic syndrome by differing criteria in type 2 diabetic patients and their relation to lipids and blood glucose control.Semantic proximity Read ↗

The “hyper-triglyceridemic waist phenotype” is a reliable marker for prediction of accumulation of abdominal visceral fat in Chinese adultsSemantic proximity Read ↗

Hypertriglyceridemic waist phenotype, hypertriglyceridemic waist-to-height ratio phenotype and abnormal glucose metabolism in adolescents.Semantic proximity Read ↗

The hypertriglyceridemic waist phenotype is associated with fatty liver and glycometabolic profiles in overweight and obese adults: a cross-sectional study.Semantic proximity Read ↗

The hypertriglyceridemic waist, waist-to-height ratio, and cardiometabolic risk.Semantic proximity Read ↗

The hypertriglyceridemic waist phenotype versus the National Cholesterol Education Program-Adult Treatment Panel III and International Diabetes Federation clinical criteria to identify high-risk men with an altered cardiometabolic risk profile.Semantic proximity Read ↗

Utility of hypertriglyceridemic waist phenotype for predicting incident type 2 diabetes: The Isfahan Diabetes Prevention Study.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.