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The relationship between hypertriglyceridemic-waist phenotype and vitamin D status in type 2 diabetes.

ABSTRACT: Background: The aim of the study was to explore the relationship between hypertriglyceridemic-waist (HTW) phenotype and vitamin D status in type 2 diabetes. Methods: A cross-sectional study was conducted in subjects with type 2 diabetes. This study enrolled 338 type 2 diabetic (190 males and 148 females). The HTW phenotype was defined as serum triglyceride concentrations ?1.7 mmol/L and waist circumference ?90 cm (male) and 85 cm (female). Multiple logistic regression models were used for modeling relationships between HTW phenotype and vitamin D status. Results: The prevalence of HTW phenotype was 36.4%. The prevalence of HTW phenotype was 10.5%, 27.2%, and 41.6% in type 2 diabetes with vitamin D sufficiency, vitamin D insufficiency, and vitamin D deficiency, respectively. In multiple logistic regression analysis, subjects with vitamin D deficiency were more likely to have HTW phenotype (OR=6.222, 95%CI: 1.307-29.620, P=0.022) compared with subjects with vitamin D sufficiency. Conclusions: There was a significant correlation between HTW phenotype and vitamin D status in type 2 diabetes.

SUBMITTER: Ma CM

PROVIDER: S-EPMC6497916 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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The relationship between hypertriglyceridemic-waist phenotype and vitamin D status in type 2 diabetes.

Ma Chun-Ming CM Yin Fu-Zai FZ

Diabetes, metabolic syndrome and obesity : targets and therapy 20190423

<b>Background:</b> The aim of the study was to explore the relationship between hypertriglyceridemic-waist (HTW) phenotype and vitamin D status in type 2 diabetes. <b>Methods:</b> A cross-sectional study was conducted in subjects with type 2 diabetes. This study enrolled 338 type 2 diabetic (190 males and 148 females). The HTW phenotype was defined as serum triglyceride concentrations ≥1.7 mmol/L and waist circumference ≥90 cm (male) and 85 cm (female). Multiple logistic regression models were u ...[more]

PMID: 31118717

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Project description:Rates of non-communicable diseases (NCDs), such as obesity, diabetes, cardiovascular events and cancer, continue to rise worldwide, which require objective instruments for preventive and management actions. Diverse anthropometric and biochemical markers have been used to qualitatively evaluate degrees of disease, metabolic traits and evolution of nutritional status. The aim of this study was to integrate and assess the interactions between an anthropometric measurement, such as waist circumference (WC), and biochemical data, such as the triglyceride glucose index (TyG), in order to individually characterize metabolic syndrome (MetS) features considering the hypertriglyceridemic waist phenotype as a marker. An ancillary cross-sectional study was conducted using anthropometric measurements, such as weight, height, waist and hip circumferences, as well as fasting biochemical data of 314 participants. Different indices based on WC (WC, WC*TG and WC*TyG) were estimated to compute MetS components and accompanying comorbidities. ROC curves were fitted to define the strength of the analyses and the validity of the relationships. Associations were confirmed between anthropometric, biochemical and combined indices with some chronic disease manifestations, including hyperglycemia, hypertension and dyslipidemia. Both WC*TG and WC*TyG indices showed similar performance in diagnosing MetS (area under the ROC curve = 0.81). Interestingly, when participants were categorized according to a reference value of the WC*TyG index (842.7 cm*mg/dl), our results evidenced that subjects classified over this limit presented statistically higher prevalence of MetS and accompanying individual components with clinical relevance for interventions. These results revealed that WC*TyG mirrors the hypertriglyceridemic phenotype, which suggests may serve as a good indicator to define the metabolic syndrome phenotype and a suitable, sensitive, and simple proxy to complement others. A reference point was proposed with a good clinical performance and maximized sensitivity and specificity values.

Dataset Information

The relationship between hypertriglyceridemic-waist phenotype and vitamin D status in type 2 diabetes.

Publications

The relationship between hypertriglyceridemic-waist phenotype and vitamin D status in type 2 diabetes.

Similar Datasets

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