Increases in Waist Circumference and Weight As Predictors of Type 2 Diabetes in Individuals With Impaired Fasting Glucose: Influence of Baseline BMI

Gautier, A; Roussel, Ronan; Ducluzeau, Pierre Henri; Lange, C.; Vol, Sylviane; Balkau, Beverley; Bonnet, Fabrice

doi:10.2337/dc10-0368

Cited by 54 publications

(54 citation statements)

References 14 publications

(16 reference statements)

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“…Recently, WC has been recognized as a risk factor of diabetes incidence in IFG level. An interaction was observed between BMI category and the effect of WC increase on diabetes progression, with a larger impact in participants with BMIs b 25 kg/m 2 than in those with BMIs ≥25 kg/m 2 [17]. Our subjects had BMIs b25 kg/m 2 .…”

Section: Discussionmentioning

confidence: 85%

Association between flavonoid intake and diabetes risk among the Koreans

Yeon

Bae

Kim

et al. 2015

Clinica Chimica Acta

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Section: Discussionmentioning

confidence: 85%

Association between flavonoid intake and diabetes risk among the Koreans

Yeon

Bae

Kim

et al. 2015

Clinica Chimica Acta

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“…Greater BMI and WC predispose to insulin resistance and diabetes and diabetes increases risk of cognitive impairment. 27,28 Another possible explanation is disruption of the blood-brain barrier by HIV since HIV proteins 29 alter the tight junctions of the blood-brain barrier, potentially increasing brain exposure to higher levels of glucose or other damaging molecules. While we found that CSF glucose levels were higher in diabetic than nondiabetic patients, the difference was not dramatic and seems unlikely to account for the dysfunction.…”

Section: Resultsmentioning

confidence: 99%

Role of obesity, metabolic variables, and diabetes in HIV-associated neurocognitive disorder

et al. 2012

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Objective: To evaluate relationships between HIV-associated neurocognitive disorder and metabolic variables in a subgroup of HIVϩ participants examined in a prospective, observational, multicenter cohort study. Methods:In a cross-sectional substudy of the CNS HIV Anti-Retroviral Therapy Effects Research (CHARTER) cohort, 130 HIVϩ participants provided fasting blood samples. Neurocognitive impairment (NCI) was defined by performance on neuropsychological tests adjusting for age, education, gender, and race/ethnicity. Global ratings and global deficit scores were determined. Demographics, biomarkers of HIV disease, metabolic variables, combination antiretroviral therapy (CART) history, other drug exposures, and self-reported diabetes were examined in multivariate models predicting NCI. Separate models were used for body mass index (BMI) alone (n ϭ 90) and BMI and waist circumference (WC) together (n ϭ 55).Results: NCI (global impairment rating Ն5) was diagnosed in 40%. In univariate analyses, age, longer duration of HIV infection, obesity, and WC, but not BMI, were associated with NCI. Self-reported diabetes was associated with NCI in the substudy and in those Ͼ55 in the entire CHARTER cohort. Multivariate logistic regression analyses demonstrated that central obesity (as measured by WC) increased the risk of NCI and that greater body mass may be protective if the deleterious effect of central obesity is accounted for. Conclusions:As in HIV-uninfected persons, central obesity, but not more generalized increases in body mass (BMI), was associated with a higher prevalence of NCI in HIVϩ persons. Diabetes appeared to be associated with NCI only in older patients. Avoidance of antiretroviral drugs that induce central obesity might protect from or help to reverse neurocognitive impairment in HIVinfected persons. Neurology ® 2012;78:485-492 GLOSSARY AIC ϭ Akaike Information Criterion; ARV ϭ antiretroviral; BMI ϭ body mass index; CART ϭ combination antiretroviral therapy; Ch ϭ choline; CHARTER ϭ CNS HIV Anti-Retroviral Therapy Effects Research; DM ϭ diabetes mellitus; GDS ϭ global deficit scores; HAND ϭ HIV-associated neurocognitive disorder; HDL ϭ high-density lipoprotein; HOMA-IR ϭ homeostasis model assessment of insulin resistance; LDL ϭ low-density lipoprotein; MetS ϭ metabolic syndrome; NAA ϭ N-acetylaspartate; NCI ϭ neurocognitive impairment; OR ϭ odds ratio; WC ϭ waist circumference; WHR ϭ waist to hip ratio; WMH ϭ white matter hyperintensity.

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“…In the present study, BMI < 23 is taken as nonobese and BMI ‡ 23-24.99 as overweight and > 25 as obese. Asian Indians also have higher tendency towards central obesity; therefore, WC and WHR are considered better indicators of progression to T2D in these ethnic groups, (Mohan et al, 2003;Gautier et al, 2010;Kamath et al, 2011;Liao et al, 2011). WC cut offs used in the present study are > 85 for males and > 80 for females; and for WHR the cut offs are > 0.89 for males and > 0.81 for females (Snehalatha et al, 2003).…”

Section: Resultsmentioning

confidence: 99%

Association of −2518A>G Promoter Polymorphism in the Monocyte Chemoattractant Protein-1 (MCP-1) Gene with Type 2 Diabetes and Coronary Artery Disease

Kaur

Matharoo

Arora³

et al. 2013

Genetic Testing and Molecular Biomarkers

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Aims: Inflammatory markers play an important role in the development of diseases related to metabolic syndrome, such as type 2 diabetes (T2D) and coronary artery disease (CAD). The present study evaluates the association of -2518A > G polymorphism in the monocyte chemoattractant protein-1 (MCP-1) gene with T2D and CAD. Results: The frequency of the G allele is greater in CAD cases (35%) as compared to T2D (24.6%) and controls (31%), while the frequency of the A allele is higher in T2D cases (75.4%) as compared to CAD cases (65%) and controls (69%). The analysis has revealed that in comparison to T2D cases, the G allele increases the risk of CAD by 1.9-fold ( p = 0.008; odds ratio [OR] = 1.9, 1.18-3.06 at 95% confidence interval [CI]) but in comparison to controls the G-allele provided protection against T2D ( p = 0.011; OR = 0.55, 0.35-0.87 at 95% CI), both under the dominant model (AG + GG vs. AA). Conclusion: Results of the present study suggests that G-allele of MCP-1 -2518A > G polymorphism is associated with reduced risk of T2D and increased risk of CAD in the population of Punjab. The results indicate that there is a difference in the association of risk alleles with phenotypes of metabolic syndrome. Body mass index and waist circumference are important risk factors for T2D in the population of Punjab.

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Increases in Waist Circumference and Weight As Predictors of Type 2 Diabetes in Individuals With Impaired Fasting Glucose: Influence of Baseline BMI

Cited by 54 publications

References 14 publications

Association between flavonoid intake and diabetes risk among the Koreans

Association between flavonoid intake and diabetes risk among the Koreans

Role of obesity, metabolic variables, and diabetes in HIV-associated neurocognitive disorder

Association of −2518A>G Promoter Polymorphism in the Monocyte Chemoattractant Protein-1 (MCP-1) Gene with Type 2 Diabetes and Coronary Artery Disease

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