ArticleBMC endocrine disorders2020
Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults.
Article in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Using easy-to-collect indices to develop and validate models for identifying metabolic syndrome and pre-metabolic syndrome.Frontiers in endocrinology · 2025Article
- miR-21, miR-221, miR-29 and miR-34 are distinguishable molecular features of a metabolically unhealthy phenotype in young adults.PloS one · 2024Article
- Association of menopausal status with body composition and anthropometric indices in Korean women.PloS one · 2024Article
- Hypertriglyceridemic-waist phenotype is strongly associated with cardiovascular risk factor clustering in Chinese adolescents.Scientific reports · 2022Article
- Early Life Exposure to Aflatoxin B1 in Rats: Alterations in Lipids, Hormones, and DNA Methylation among the Offspring.International journal of environmental research and public health · 2021Article
- Comparison of the triglyceride-waist circumference and the C-reactive protein-waist circumference indices in nascent metabolic syndrome.International journal of physiology, pathophysiology and pharmacology · 2021Article
- Identification of Hepatic Steatosis in Premenopausal and Postmenopausal Women Based on Phenotypes Combining Triglyceride Levels and Anthropometric Indices: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- The Association between Anthropometry Indices and Serum Concentrations of Gamma-Glutamyl Transferase, Alkaline Phosphatase, Alanine Aminotransferase, and Aspartate Aminotransferase.BioMed research international · 2021Article
- Screening for Metabolic Syndrome Using an Integrated Continuous Index Consisting of Waist Circumference and Triglyceride: A Preliminary Cross-sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
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2 authors at 1 institution in 1 country.
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Abstract
backgroundThe metabolic syndrome (MetS) has shown strong associations with the hypertriglyceridemic waist (HW) phenotype. The best anthropometric indicator of MetS remains controversial. Furthermore, no studies have investigated alternative indices that could replace waist circumference in the HW phenotype. The objectives of this study were to find the best indicator of MetS among anthropometric indices and to examine the predictive power of phenotypes consisting of triglyceride levels with anthropometric indices.
methodsA total of 12,025 subjects participated in this retrospective cross-sectional study. All subjects were recruited between November 2016 and August 2007 from hospitals in 28 urban and rural regions in South Korea. The data analyzed in this study were obtained from the Korean Health and Genome Epidemiology Study database and the Korea Institute of Oriental Medicine.
resultsThe proportion of patients with MetS ranged from 9 to 57% according to age and gender groups. Waist circumference (WC) was best indicator of MetS in men of all age groups. However, in women aged 40-49 years, the waist-to-height ratio (WHtR) was the best indicator of MetS. Rib circumference and chest circumference were the strongest indicators in women aged 50-59 years and 70-79 years, respectively. The combination of WC and triglyceride (TG) was the best indicator of MetS in men and women overall. However, interestingly, the best indicator was TG + WHtR in women aged 40-49 years and TG + forehead-to-waist ratio in women aged 70-79 years.
conclusionsThe best indicator of MetS in terms of individual anthropometric indices and the various phenotypes combining a single anthropometric index with TG may differ subtly according to age group in women, but not in men. Our findings provide insight into a simple and inexpensive method that could be used to identify MetS in initial health screening efforts in epidemiology and public health.
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