scholarly journals Postchallenge plasma glucose and glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1c level

Diabetes Care ◽  
2000 ◽  
Vol 23 (12) ◽  
pp. 1830-1834 ◽  
Author(s):  
T. S. Temelkova-Kurktschiev ◽  
C. Koehler ◽  
E. Henkel ◽  
W. Leonhardt ◽  
K. Fuecker ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Hba1c Level ◽  
Fasting Glucose

Abstract P063: The Association Between Physical Activity and Fasting and 2-Hour Glucose in US Adults: NHANES 2013-2014

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Joshua R Sparks ◽  
Xuewen F Wang
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Plasma Glucose ◽  
Fasting Glucose ◽  
Glucose Disposal ◽  
Moderate Intensity ◽  
Moderate Intensity Physical Activity ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Activity Questionnaire

Background: Glucose concentrations in a fasted and during a glucose challenged state rely on different mechanisms for regulation. In a fasted state, hepatic regulation of glucose is important; while in a glucose challenged state, muscle glucose disposal becomes more important. Evidence suggests that physical activity of moderate or higher intensities can increase muscle glucose disposal during an insulin-stimulated state, but has less effect on hepatic insulin sensitivity. The purpose of this study was to examine the associations between glucose concentrations (fasting and after an oral glucose ingestion) and minutes of physical activity at moderate- and vigorous-intensity in a large population. Methods: The sample included 2,807 adults (47.4% male and 52.6% female) aged 18-80 years who participated in the National Health and Nutritional Examination Surveys (NHANES) from 2013-2014 and who did not take any diabetic medications. Minutes being physically active at moderate- and vigorous-intensities during work, and recreationally, were collected using the Physical Activity Questionnaire, which was based on the Global Physical Activity Questionnaire. Moderate-intensity physical activity was defined as any activity that caused a small increase in breathing or heart rate, while vigorous-intensity physical activity was defined as large increases in breathing or heart rate. Both intensities had to be performed for a minimum of 10 continuous minutes. Plasma glucose concentrations at fasting and 2 hours after consumption of a drink containing 75g glucose (2-hour glucose) were determined. Pearson product correlations were performed for analysis. Results: The population had 141±133 (mean±SD) minutes of moderate-intensity physical activity during work and 63±56 minutes recreationally, as well as 174±156 minutes of vigorous-intensity physical activity during work and 77±56 minutes recreationally. Minutes of vigorous-intensity physical activity performed during work was associated with 2-hour plasma glucose concentrations (r=0.15; p=0.045); this association was not affected after adjusting for age, race, and sex (p=0.049), but was no longer significant after BMI was also adjusted (p=0.059). Recreational or total minutes of vigorous-intensity physical activity, and moderate-intensity physical activity was not associated with 2-hour glucose (p>0.20). Additionally, none of the physical activity minutes was associated with fasting glucose (p>0.27). Conclusion: Self-reported vigorous-intensity physical activity during work was positively associated with 2-hour glucose, but not fasting glucose. The results are surprising. Further studies with objective physical activity measures are needed to examine the associations with fasting and 2-hour glucose.

scholarly journals Metabolic Factors Associated with Benign Prostatic Hyperplasia

2006 ◽  
Vol 91 (7) ◽  
pp. 2562-2568 ◽  
Author(s):  
J. Kellogg Parsons ◽  
H. Ballentine Carter ◽  
Alan W. Partin ◽  
B. Gwen Windham ◽  
E. Jeffrey Metter ◽  
...  
Keyword(s):  
Benign Prostatic Hyperplasia ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Prostate Volume ◽  
Fasting Glucose ◽  
Public Health Problem ◽  
Prostatic Hyperplasia ◽  
Pelvic Magnetic Resonance Imaging ◽  
Fasting Plasma ◽  
Prostate Enlargement

Abstract Context: Benign prostatic hyperplasia poses a significant public health problem, but its etiology remains unclear. Obesity and associated abnormalities in glucose homeostasis may play a role in benign prostatic hyperplasia development by influencing prostate growth. Objective: The objective of this study was to determine whether obesity, fasting plasma glucose concentration, and diabetes are associated with radiologically determined prostate enlargement, an objective measure of benign prostatic hyperplasia. Design: This study was a cross-sectional analysis with robust variance estimates to account for multiple measures over time in the same individuals. Setting: This prospective cohort study was composed of community volunteers. Patients: Patients studied were 422 adult men enrolled in The Baltimore Longitudinal Study of Aging. Main Outcome Measurements: Total prostate volume as determined by pelvic magnetic resonance imaging was measured. Results: Among 422 participants, 91 (21.6%) had prostate enlargement (defined as total prostate volume ≥ 40 cc) at first visit. Compared with men of normal weight [body mass index (BMI) < 25 kg/m2], the age-adjusted odds ratio (OR) for prostate enlargement for overweight men (BMI, 25–29.9 kg/m2) was 1.41 (95% CI, 0.84–2.37), for obese men (BMI, 30–34 kg/m2) was 1.27 (95% CI, 0.68–2.39), and for severely obese men (BMI ≥ 35 kg/m2) was 3.52 (95% CI, 1.45–8.56) (P = 0.01). Men with elevated fasting glucose (>110 mg/dl) were more likely to have an enlarged prostate than men with normal fasting glucose (≤110 mg/dl) (OR, 2.98; 95% CI, 1.70–5.23), as were men with a diagnosis of diabetes (OR, 2.25; 95% CI, 1.23–4.11). Conclusions: Obesity, elevated fasting plasma glucose, and diabetes are risk factors for benign prostatic hyperplasia.

scholarly journals Genetic basis underlying connection between hyperglycemia and dyslipidemia in Apoe-deficient mice

2015 ◽  
Author(s):  
Qian Wang ◽  
Andrew Grainger ◽  
Ani Manichaikul ◽  
Emily Farber ◽  
Suna Onengut-Gumuscu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
Western Diet ◽  
Chromosome 9 ◽  
Lipid Levels ◽  
Glucose Levels ◽  
Cholesterol Levels

Individuals with dyslipidemia often develop type 2 diabetes, and diabetic patients often have dyslipidemia. It remains to be determined whether there are genetic connections between the 2 disorders. A female F2 cohort, generated from BALB/cJ (BALB) and SM/J (SM) Apoe-deficient (Apoe−/−) strains, was fed a Western diet for 12 weeks. Fasting plasma glucose and lipid levels were measured before and after Western diet feeding. 144 genetic markers across the entire genome were used for analysis. One significant QTL on chromosome 9, named Bglu17 [26.4 cM, logarithm of odds ratio (LOD): 5.4], and 3 suggestive QTLs were identified for fasting glucose levels. The suggestive QTL near the proximal end of chromosome 9 (2.4 cM, LOD: 3.12) was detected when mice were fed chow or Western diet and named Bglu16. Bglu17 coincided with a significant QTL for HDL and a suggestive QTL for non-HDL cholesterol levels. Plasma glucose levels were inversely correlated with HDL but positively correlated with non-HDL cholesterol levels in F2 mice fed either diet. A significant correlation between fasting glucose and triglyceride levels was observed on the Western but not chow diet. Haplotype analysis revealed that ???lipid genes??? Sik3 and Apoc3 were probable candidates for Bglu17. We have identified multiple QTLs for fasting glucose and lipid levels. The colocalization of QTLs for both phenotypes and the sharing of potential causal genes suggest that dyslipidemia and type 2 diabetes are genetically connected.

scholarly journals Clinical significance of lipohypertrophy without visual and palpable changes detected by ultrasonography of subcutaneous fat

2019 ◽  
Vol 91 (4) ◽  
pp. 62-66 ◽  
Author(s):  
N I Volkova ◽  
I Yu Davidenko
Keyword(s):  
Body Mass Index ◽  
Clinical Significance ◽  
Hba1c Level ◽  
Fasting Glucose ◽  
Subcutaneous Fat ◽  
Postprandial Glucose ◽  
Diabetic Patients ◽  
Clinically Significant ◽  
The Moment ◽  
Basal Bolus

Aim. To estimate clinical significance of lipohypertrophy (LH) without visual and palpable changes, detected by ultrasonography of subcutaneous fat. Materials and methods. This study included 140 diabetic patients who received insulin in basal-bolus regimen. Ultrasonography of subcutaneous fat was performed for LH diagnostics in these diabetic patients. Than clinical significance of LH without visual and palpable changes was estimated. HbA1c level, fasting and postprandial glucose, episodes of hypoglycemia, body mass index (BMI) and scheme of insulinotherapy were evaluated at the moment of LH, after 3 and 6 months in all patients. Results and discussion. After changing injection sites, good results were demonstrated by measuring glucose and HbA1c level. Thus fasting glucose decreased from 9.03±1.98 mmol/l to 7.11±0.95 mmol/l (p=0.023). Postprandial glucose reduced from 10.27±2.72 mmol/l to 9.34±1.21 mmol/l (p=0.011). HbA1c level reduced from 9.27±1.75% to 7.43±1.02% (p=0.002). Also BMI decreased from 33.75±3.49 kg/m2 to 30.5±2.96 kg/m2 (p=0.018). Conclusion. LH without visual and palpable changes could worsen compensation of glycemic control and leads to hypoglycemia and chronic Somogyi rebound. So, LH without visual and palpable is as important and clinically significant as classic LH.

scholarly journals Perkembangan Diabetes Melitus Tipe 2 dari Prediabetes di Bogor, Jawa Barat

2018 ◽  
pp. 59-69 ◽  
Author(s):  
Eva Sulistiowati ◽  
Marice Sihombing
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Plasma Glucose ◽  
Central Obesity ◽  
Fasting Glucose ◽  
Diabetes Melitus

Abstrak Prediabetes merupakan kondisi gula darah puasa 100-125mg/dL (Impaired Fasting Glucose/IFG) atau kadar gula darah 2 jam setelah pembebanan 75 g glukosa 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes meningkatkan risiko terjadinya Diabetes Mellitus tipe 2 (DM tipe 2). Tujuan analisis ini untuk mengetahui terjadinya DM Tipe 2 pada responden dengan prediabetes dalam follow-up 2 tahun. Prospektif studi dalam 2 tahun pada 3344 responden Studi Kohor Faktor Risiko PTM non-DM tipe 2. Data yang dikumpulkan meliputi wawancara, pemeriksaan fisik (BB, TB, lingkar perut, tekanan darah), dan laboratorium (GDP, GDPP, Kolesterol total, HDL, LDL, Trigliserida). Kadar glukosa darah untuk DM Tipe 2 dan prediabetes mengacu pada kriteria ADA 2011. Analisis deskriptif tentang karakteristik, life tabel perkembangan DM Tipe 2 dari prediabetes. Prediabetes yang terjadi sebesar 24,6% (IFG 2,3%; IGT 19,2% dan mix IFG/IGT 2,8%) dan 13,4% mengalami DM tipe 2 dalam kurun waktu 2 tahun. Progresivitas terjadinya DM dari IFG, IGT dan mix TGTmasing-masing 6,21; 6,12 dan 14,6 per 100 orang per tahun. Faktor risiko yang mempengaruhi terjadinya DM tipe 2 antara lain: umur (40-54 tahun RR=1,97; CI 95%:1,02-3,82), 55-65 tahun (RR=2,74; CI 95%: 1,34-5,58), obesitas sentral (RR=4,42; CI 95%: 2,36-8,29), hipertensi (RR= 1,99; CI 95%: 1,29-3,06) dan hipertrigliserida (RR=1,83; CI 95%: 1,18-2,83). Proporsi prediabetes dan terjadinya DM tipe 2 di Bogor Tengah dalam pengamatan 2 tahun, meningkat dengan bertambahnya umur dan dipengaruhi oleh obesitas sentral, hipertensi, hipertrigliserida. Pengendalian faktor risiko dan pemeriksaan gula darah secara rutin dapat mencegah terjadinya DM tipe 2. Perlu ditunjang dengan posbindu PTM aktif di masyarakat, lingkungan kerja maupun sekolah. Kata kunci: Prediabetes, Diabetes Melitus tipe 2 (DM tipe 2), Bogor Tengah Abstract Prediabetes is a condition that fasting plasma glucose 100-125 mg/dL (Impaired Fasting Glucose/IFG) or blood glucose 2 hours after loading 75 g glucose 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes increases the risk of type 2 Diabetes Mellitus (T2DM). This analysis is to determine the progression rate to T2DM in prediabetes respondents during 2 years follow up. This is an two years prospective study in 3344 respondents Cohort Study of Risk Factors NCD without T2DM. The data collected included interviews, physical examination (body weight, height, abdominal circumference, blood pressure), and laboratory (fasting plasma glucose/FPG, plasma glucose 2 hours after loading 75 g glucose, total cholesterol, HDL, LDL, triglycerides). Blood glucose levels for DM and prediabetes refers to ADA criteria 2011. Data analisized by descriptive about characteristics, life table of T2DM development from prediabetes. Prediabetes occurred at 24.6% (IFG 2.3%, IGT 19.2% and mix IFG / IGT 2.8%) and 13.4% experienced type 2 diabetes within 2 years. The progression of DM from IFG, IGT and mix TGT is 6.21; 6.12 and 14,6 per 100 person per year respectively. The risk factors of T2DM are age (40-54 years old (RR=1,97; CI 95%:1,02-3,82), 55-65 years old (RR=2,74; CI 95%:1,34-5,58), central obesity (RR=4,42; CI 95%:2,36-8,29), hypertension (RR=1,99; CI 95%:1,29-3,06) and hypertriglyceride (RR=1,83; CI 95%:1,18-2,83). The proportion of prediabetes and progression T2DM in Central Bogor at 2 years follow up is quite high, increasing with age and influenced by central obesity, hypertension and hypertriglyceride. Controlling risk factors and checking blood glucose regularly can prevent T2DM. Need to be supported by posbindu PTM active in the community, work environment and school. Keywords: Prediabetes, type 2 Diabetes Mellitus (T2DM), Central Bogor

scholarly journals Comparison of Waist-to-height Ratio, Hypertriglyceridemic Waist Phenotype, Triglycerides to HDL-C Ratio and Fasting Plasma Glucose With the Matsuda Index for the Prediction of Insulin Resistance/hyperinsulinemia

2020 ◽  
Author(s):  
Katharina Lechner ◽  
Benjamin Lechner ◽  
Alexander Crispin ◽  
Peter Schwarz ◽  
Helene Von Bibra
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Plasma Glucose ◽  
Fasting Glucose ◽  
Entire Group ◽  
Height Ratio ◽  
Hypertriglyceridemic Waist ◽  
Matsuda Index ◽  
Waist To Height Ratio ◽  
Hypertriglyceridemic Waist Phenotype

Abstract BackgroundCurrent screening algorithms for type 2 diabetes (T2D) rely on fasting plasma glucose (FPG) and/or HbA1c. This fails to identify a sizeable subgroup of individuals in early stages of metabolic derangement who are at high risk for developing diabetes or cardiovascular disease. The Matsuda index, a combination of parameters derived from a fasting and postprandial insulin assay, is an early biomarker for metabolic dysfunction (i.e. insulin resistance/compensatory hyperinsulinemia). We compared four widely available anthropometric and biochemical markers indicative of this condition (waist-to-height ratio (WHtR), hypertriglyceridemic waist phenotype (HTW), triglycerides to HDL-C ratio (TG/HDL-C) and FPG) to the Matsuda index.MethodsThis cross-sectional analysis included 2231 individuals with normal fasting glucose (NFG, n=1333), impaired fasting glucose (IFG, n = 599) and T2D (n=299) from an outpatient diabetes clinic in Germany and thus extended a prior analysis from our group done on the first two subgroups. We analyzed correlations of the Matsuda index with WHtR, HTW, TG/HDL-C and FPG and their predictive accuracies by correlation and logistic regression analyses and receiver operating characteristics.ResultsIn the entire group and in NFG, IFG and T2D, the best associations were observed between the Matsuda index and the WHtR (r=-0,458), followed by HTW phenotype (r=-0,438). As for prediction accuracy, WHtR was superior to HTW, TG/HDL-C and FPG in the entire group (area under the curve 0,801) and NFG, IFG and T2D. A multivariable risk score for the prediction of insulin resistance was tested and demonstrated an area under the ROC curve of 0.765 for WHtR and its interaction with sex as predictor controlled by age and sex. The predictive power increased to 0.845 when FPG and TG/HDL-C were included.ConclusionsUsing as a comparator the Matsuda index, WHtR, compared to HTW, TG/HDL-C and FPG, showed the best predictive value for detecting metabolic dysregulation. We conclude that WHtR, a widely available anthropometric index, could refine phenotypic screening for insulin resistance/hyperinsulinemia. This may ameliorate early identification of individuals who are candidates for appropriate therapeutic interventions aimed at addressing the twin epidemic of metabolic and cardiovascular disease in settings where more extended testing such as insulin assays are not feasible.

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