Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study

Zheng, Shuang; Shi, Sheng; Ren, Xiaopeng; Han, Tao; Li, Yangxue; Chen, Yawen; Liu, Wei; Hou, Peter C.; Hu, Yongbin

doi:10.1186/s12967-016-1020-8

Cited by 114 publications

(91 citation statements)

References 42 publications

(36 reference statements)

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“…Our regression analysis showed that in our population VAT was the most important determinant of HOMA-IR in accordance with previous research [48]. Other important determinants (Table 3) of HOMA-IR identified in our population were triglycerides and waist circumference, in line with other data [49][50][51][52][53][54]. Other parameters that were predictive for IR in this study cohort include HDL, serum creatinine, female gender, urine protein level, serum chloride, age, systolic blood pressure and estradiol.…”

Section: Discussionsupporting

confidence: 91%

Predictors of Insulin Resistance in Obesity and Type 2 Diabetes Mellitus - The Role of Magnesium

Milbouw¹,

Verhaegen²,

Verrijken³

et al. 2017

J Metabolic Synd

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Objectives: Hypomagnesaemia and insulin resistance are two major clinical problems, with intertwining pathophysiology. We aimed to explore this association in obese patients and in non-insulin-treated patients with type 2 diabetes mellitus (T2DM).Methods: Subjects were recruited from the outpatient diabetes/obesity clinic of the Antwerp University Hospital. The population (N=2731) consists of 2 subject groups with different degrees of insulin resistance and insulin secretory potential: 1) overweight (Body Mass index (BMI) ≥ 25 kg/m² and <30 kg/m²) and obese (BMI ≥ 30 kg/m²) subjects, 2) adult T2DM patients. Hypomagnesaemia was defined as serum magnesium <1.7 mg/dl. Insulin resistance was estimated using the Homeostasis model assessment (HOMA-IR; cut-off point 2.82).Results: Hypomagnesaemia was present in 6.1% of the entire population. Patients with hypomagnesaemia had more visceral adipose tissue (VAT), and a higher HOMA-IR. They suffered more from the metabolic syndrome and T2DM. Patients with a HOMA-IR<2.82 were younger, had lower BMI and less VAT. They suffered less from hypomagnesaemia. Hypomagnesaemia was more prevalent in T2DM patients than in obese subjects without T2DM. Although serum magnesium and HOMA-IR were negatively correlated, logistic regression analysis showed that magnesium was not a significant predictor for HOMA-IR. Conclusions:Despite a significant negative correlation between magnesium and HOMA-IR, magnesium was not retained as a significant determinant of insulin resistance compared to the other predictors in our population of obese subjects and T2DM patients.

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Section: Discussionsupporting

confidence: 91%

Predictors of Insulin Resistance in Obesity and Type 2 Diabetes Mellitus - The Role of Magnesium

Milbouw¹,

Verhaegen²,

Verrijken³

et al. 2017

J Metabolic Synd

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“…Using an exploratory approach, e.g., lacking preformulated hypotheses, we identified several risk factors which were associated with poor glycemic control. Bivariate analysis demonstrated that poor glycemic control was associated 5 [27]. Indeed, it is our position that WHR appears to be a better marker of poor glycemic control compared to BMI in this cohort.…”

Section: Discussionmentioning

confidence: 60%

Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study

Achila

Ghebretinsae

Kidane

et al. 2020

Journal of Diabetes Research

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Objective. There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors. Methods. A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ2) test or Fischer’s exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions. Results. High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean±SD of 8.6%±1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c≥7% was higher in patients with abnormal WHR (AOR=3.01, 95% CI, 3.01 (1.15–7.92=0.024)) and in patients without hypertension (AOR=1.97, 95% CI (1.06–3.56), p=0.021). A unit reduction in eGFR was also associated with HbA1c≥7% (AOR=0.99, 95% CI (0.98–1=0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC≥200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL‐C≥100 mg/dL (risk factors: sex and hypertension), 56.3% had TG≥150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non‐HDL<130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference). Conclusions. The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.

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“…Our finding is endorsed by a study recently done which compared different obesity indices to predict incident hypertension, it included Visceral Adiposity Index (VAI), Hyper Tri Glyceridemic-Waist (HTGW) phenotype, A Body Shape Index (ABSI), Body Mass Index (BMI), Waist A number of mechanisms may be implicated in the pathophysiology of obesity-related hypertension which includes secretion of Leptin from adipocytes which stimulates the sympathetic nervous system, activation of renin angiotensin and aldosterone system, decrease in natriuretic peptide and in salt excretion, all of which contribute to hypertension. In addition, in several research studies "hypertriglyceridemic waist" is recommended as a clinically effective marker for identifying the risk of prediabetes and diabetes in first degree relatives of type 2 diabetic patients [13].…”

Section: Discussionmentioning

confidence: 99%

Visceral Adiposity: A Major Predictor in Diabetes and Hypertension

Kidwai¹,

Medical²

2018

OWL

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Aim:To determine and compare the relationship between visceral fat and anthropometric measurements in diabetic and non diabetic, hypertensive and non hypertensive Pakistani adults. Study design: Cross sectional analytic studyPlace and duration of study: Study setting is a tertiary care hospital located in the suburbs of Karachi Pakistan catering a population of low income strata, the study was conducted for a duration of 6 months from Oct 2015 till March 2016. Materials and Methods:A total of 229 adults aged 41.58±12.47 years were recruited with informed consent from the suburbs of Karachi. Male (n=81): female (n=148) ratio is 1:2. Blood Pressure (BP) and WC are measured using standard equipments. Body Mass Index (BMI) is categorized as normal: 18.5-22.9 overweight: 23-24.9 and obese ≥25. Waist Circumference (WC) is considered high if ≥80 cms in females and ≥90 cms in males which is in accordance with South Asian Modified National Cholesterol Education Program Adult Treatment Panel III criteria (SAM-NCEP) criteria. Total Body Fat (TBF), Total Visceral Fat percentage (TVF) and BMI were measured by OMRON BF508. SPSS version 16 is used for all calculations P value was taken as significant with a P<0.05Result: Means and standard deviations for all variables including age, body mass index, waist circumference, systolic and diastolic blood pressure, total body fat and total visceral fat were calculated. BMI, WC, Systolic BP and TVF proved significance with P<0.05. Linear regression analysis was used with total visceral fat percentage as dependent variable and BMI, age, systolic and diastolic blood pressure, waist circumference and total body fat as independent variables. All the variables except total body fat proved significance with systolic BP and WC being the highest determinant (P<0.05). Mean of TVF in males is found 9.53% and in females 9.26%, mean of TVF in diabetic cohort is 10.9% whereas in non diabetics 8.7%. Similarly, in hypertensive TVF is 10.7% and in non Hypertensive 8.6%. TBF has not shown any significance in hypertensive, diabetic and even in obese individuals (P value>.05).Conclusion: Significant correlation is found between TVF and systolic BP and WC in this study. Higher values of TVF is observed diabetic and hypertensive individuals. Contrary to the general concept males have shown an equally higher percentage of visceral fat than females in our cohort. Therefore, central obesity should be aggressively managed in order to lower the risk of diabetes and hypertension in both genders.

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Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study

Cited by 114 publications

References 42 publications

Predictors of Insulin Resistance in Obesity and Type 2 Diabetes Mellitus - The Role of Magnesium

Predictors of Insulin Resistance in Obesity and Type 2 Diabetes Mellitus - The Role of Magnesium

Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study

Visceral Adiposity: A Major Predictor in Diabetes and Hypertension

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