ArticleLipids in health and disease2022
Association between hypertriglyceridemic-waist phenotype and non-alcoholic fatty liver disease: a general population-based study.
Article in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Metabolic drivers of MASLD and MASH: from hormonal imbalance to fibrosis.Diabetologia · 2026Review
- Dietary approaches to stop hypertension (DASH) in relation to hyper-triglyceridemic-waist (HTGW) phenotype in Iranian adults.Scientific reports · 2026Article
- The Placenta in Gestational Diabetes: An Integrated Review on Metabolic Pathways, Genetic, Epigenetic and Ultrasound Biomarkers for Clinical Perspectives.International journal of molecular sciences · 2026Review
- Association of Circulating Irisin with Insulin Resistance and Metabolic Risk Markers in Prediabetic and Newly Diagnosed Type 2 Diabetes Patients.International journal of molecular sciences · 2026Article
- Lipid profile and non-alcoholic fatty liver disease detected by ultrasonography: is systemic inflammation a necessary mediator?Annals of medicine · 2025Article
- Observational
- The Prevalence of Metabolic Syndrome and Hypertriglyceridemic Waist Based on Sociodemographic Variables and Healthy Habits in Healthcare Workers: A Retrospective Study.Life (Basel, Switzerland) · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHypertriglyceridemic-waist (HTGW) phenotype has been proposed as a practical tool for screening the risk of cardiovascular diseases and glycemic metabolic disease. This study sought to investigate the relationship between HTGW phenotype and non-alcoholic fatty liver disease (NAFLD).
methodsA total of 14,251 subjects who took part in health screening were enrolled in the study and NAFLD was diagnosed by abdominal ultrasound. According to triglyceride (TG) and waist circumference, the study population was divided into four phenotypes, in which HTGW phenotype was defined as TG ≥ 1.7 mmol/L and male waist circumference ≥ 90 cm or female waist circumference ≥ 80 cm. Multivariate logistic regression analysis was used to evaluate the relationship between HTGW phenotype and NAFLD.
resultsIn the current study, 2.43% of the subjects had HTGW phenotype, while the prevalence of NAFLD in subjects with HTGW phenotype was 77.81%. After full adjustment for covariates, compared with people with normal waist circumference and TG levels, the risk of NAFLD in people with normal TG levels but enlarged waist circumference increased by 39% [OR:1.39, 95%CI: 1.15, 1.68], in people with normal waist circumference but elevated TG levels increased by 96% [OR:1.96, 95%CI: 1.65, 2.33], and in subjects with HTGW phenotype increased by 160% [OR:2.60, 95%CI: 1.88, 3.58]. Additionally, further analysis suggested that there were significant interactions between age, height, BMI and NAFLD risk associated with TGW phenotypes. Receiver operating characteristic curves analysis suggested that the combination of TG and waist circumference further improved the diagnostic value for NAFLD.
conclusionsHTGW phenotype is associated with NAFLD risk in the general population, which may be a novel and accessible indicator for NAFLD screening.
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Registered trials
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