The characteristics of pre-diabetic patients associated with body composition and cardiovascular disease risk factors in the Iranian population

Gholi, Zahra; Heidari‐Beni, Motahar; Feizi, Awat; Iraj, Bijan; Askari, Gholamreza

doi:10.4103/1735-1995.179888

Cited by 12 publications

(6 citation statements)

References 28 publications

(25 reference statements)

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“…In our study, we found significant increased levels of TC, TG, LDL-C, and VLDL-C in prediabetic subjects as compared to controls except for HDL-C, which was significantly decreased. This dyslipidemic pattern in prediabetes is very much similar to the findings of previous studies [ 7 , 8 , 24 ]. Insulin resistance may lead to the abnormality of lipid and lipoprotein in the hyperglycemic state.…”

Section: Discussionsupporting

confidence: 92%

Relationship between Atherogenic Indices and Carotid Intima-Media Thickness in Prediabetes: A Cross-Sectional Study from Central India

et al. 2018

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Prediabetes is the precursor stage of diabetes mellitus and is also considered to be a risk factor for the development of cardiovascular disease. Atherogenic indices have been used for assessment of risk for cardiovascular disease development. To date, there is no data on evaluating the relationship between atherogenic indices (cardiac risk ratio (CRR), atherogenic coefficient (AC), and atherogenic index of plasma (AIP)) and carotid intima-media thickness (CIMT) in prediabetes. Hence, we aimed to determine atherogenic indices (CRR, AC, and AIP) and CIMT in prediabetic subjects and then sought to evaluate the relationship between them. A total of 400 human subjects were included in the present study, out of which 200 were prediabetic subjects and 200 were normal healthy control subjects. For each subject, CRR, AC, and AIP were calculated from routine lipid parameters and carotid intima-media thickness was measured as well. Atherogenic indices, that is, CRR, AC, and AIP, were significantly increased in prediabetic subjects as compared to the controls (5.87 ± 0.87 vs. 4.23 ± 0.50, p < 0.001; 4.87 ± 0.87 vs. 3.23 ± 0.50, p < 0.001; and 0.29 ± 0.07 vs. 0.09 ± 0.09, p < 0.001, respectively). Moreover, a significant and positive correlation was observed between CIMT and AIP (r = 0.529, p < 0.01), CRR (r = 0.495, p < 0.01), and AC (r = 0.495, p < 0.01). Prediabetic subjects present abnormalities in atherogenic indices and CIMT, which indicate a greater propensity of prediabetes for the development of cardiovascular disease. Hence, atherogenic indices can be used in addition to routine lipid parameters for the better assessment of subclinical atherosclerosis in prediabetic subjects.

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Section: Discussionsupporting

confidence: 92%

Relationship between Atherogenic Indices and Carotid Intima-Media Thickness in Prediabetes: A Cross-Sectional Study from Central India

et al. 2018

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“…There is complex interaction between genetic, environmental, and abnormal behavioral factors[ 28 ] in FDRs of HT which can be targeted for prevention. A recent study[ 29 ] has shown that cardiovascular risk factors are significantly higher in prediabetic than normal FDRs of diabetics with age group same as our study. This and our results further hint to a potential of research in this direction for possible preventive measures such as lifestyle modifications.…”

Section: Discussionsupporting

confidence: 83%

Pulse wave analyzed cardiovascular parameters in young first degree relatives of hypertensives

2018

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Background:First-degree relatives (FDRs) of hypertensive (HT) are predisposed to hypertension (HTN) which accelerates cardiovascular aging. Same can be studied noninvasively by pulse wave analysis (PWA), encompassing central hemodynamics such as central blood pressure (cBP), cardiac output, and stroke work (SW) and vascular stiffness parameters such as pulse wave velocity (PWV) and augmentation index at HR 75 (AIx@75). We studied PWA-derived cardiovascular parameters in FDRs of HT compared to controls.Materials and Methods:We conducted a case–control study in 119 FDRs of HT and 119 matched controls. Oscillometric PWA was performed by Mobil-o-Graph (IEM, Germany) and cardiovascular parameters were compared. P < 0.05 was considered statistically significant.Results:Groups were comparable with gender, age, height, weight, body mass index, and physical activity. FDRs of HT had significantly higher brachial and cBPs, SW (101.41 ± 25.44 vs. 88.31 ± 20.25, P = 0.001), rate pressure product-119.40 ± 25.34 vs. 108.34 ± 18.17, P < 0.0001), PWV (5.22 ± 0.46, P < 0.0001), and AIx@75 (31.48 ± 9.01 vs. 27.95 ± 9.4, P = 0.002) than control. Dependent study variables correlated with brachial blood pressure more in magnitude and significance level than age or anthropometric variables. PWA results of FDR with maternal inheritance did not differ significantly from those with paternal inheritance.Conclusion:PWA reveals early cardiovascular aging in young FDRs of HTs. It clues to future cardiovascular disease including HTN itself, need for primary prevention, and further study for consolidation of these results.

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“…This is in contrast to a previous study which stated that WC, while measuring T2DM risk depends on BMI and both should be included in risk assessment [ 41 ]. In addition to the findings from Gholi et al that WC and plasma TG levels were higher in subjects with PD [ 42 ], the significant association of TG with WC was also found to be effective to predict PD [ 15 ]. Though TG got preference over TG/HDL-C in the present study, a recent research evidence reported WC to be included in the final regression analysis with TG/HDL-C in newly diagnosed T2DM [ 43 ].…”

Section: Discussionmentioning

confidence: 98%

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

Nayak

Vidyasagar

et al. 2018

PLoS ONE

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ObjectivesTo compare different anthropometric indices, Body composition analysis and lipid profile markers in terms of their ability to predict prediabetes (PD).MethodsWe enrolled 83 subjects with PD and 84 normoglycemic subjects who were matched for age and gender. The diagnosis of prediabetes was done according to the American Diabetes Association (ADA) criteria. All subjects were aged between 30–55 years of age and visited the outpatient department of tertiary care hospital. Anthropometric and lipid profile measurements were obtained. Analysis of body composition was done using Bodystat 1500MDD Instrument. Backward logistic regression was performed for detecting the predictors of PD. A receiver operator characteristic curve (ROC) with area under curve (AUC) was utilized for the accuracy of the predictors of PD.ResultsComparison of anthropometric measurement and body composition analysis parameters between the two groups showed that Waist circumference (WC), Body mass index, Body Fat% were significantly higher whereas Extracellular water and Dry lean weight in percentage (ECW% and DLW%) were found to be lower in PD (p< 0.05). Higher triglyceride (TG) levels and lower high-density cholesterol (HDL-C) with high TG/HDL-C were seen in subjects with PD. Backward logistic regression analysis found the combination of Body Fat % with WC, TG, ECW% and DLW% as strong predictors of PD. In ROC analysis, ECW% (AUC = 0.703) was the most predictive measure, followed by WC (AUC = 0.702).ConclusionThis study demonstrated that estimation of Body Fat % combined with waist circumference, Extracellular water and Dry lean weight in percentage are valuable in screening and diagnosis of prediabetes. Plasma levels of TG in lipid profile measurements can also serve as an additional marker for prediction of prediabetes.

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The characteristics of pre-diabetic patients associated with body composition and cardiovascular disease risk factors in the Iranian population

Cited by 12 publications

References 28 publications

Relationship between Atherogenic Indices and Carotid Intima-Media Thickness in Prediabetes: A Cross-Sectional Study from Central India

Relationship between Atherogenic Indices and Carotid Intima-Media Thickness in Prediabetes: A Cross-Sectional Study from Central India

Pulse wave analyzed cardiovascular parameters in young first degree relatives of hypertensives

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

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