scholarly journals Improved Functional Causal Likelihood-Based Causal Discovery Method for Diabetes Risk Factors

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiue Gao ◽  
Wenxue Xie ◽  
Zumin Wang ◽  
Bo Chen ◽  
Shengbin Zhou
Keyword(s):  
Risk Factors ◽  
Sample Size ◽  
Plasma Glucose ◽  
Glucose Concentration ◽  
Diabetes Risk ◽  
Plasma Glucose Concentration ◽  
Causal Discovery ◽  
Causal Relationships ◽  
Diabetes Risk Factors ◽  
Discovery Method

Diabetes mellitus is a disease that has reached epidemic proportions globally in recent years. Consequently, the prevention and treatment of diabetes have become key social challenges. Most of the research on diabetes risk factors has focused on correlation analysis with little investigation into the causality of these risk factors. However, understanding the causality is also essential to preventing the disease. In this study, a causal discovery method for diabetes risk factors was developed based on an improved functional causal likelihood (IFCL) model. Firstly, the issue of excessive redundant and false edges in functional causal likelihood structures was resolved through the construction of an IFCL model using an adjustment threshold value. On this basis, an IFCL-based causal discovery algorithm was designed, and a simulation experiment was performed with the developed algorithm. The experimental results revealed that the causal structure generated using a dataset with a sample size of 2000 provided more information than that produced using a dataset with a sample size of 768. In addition, the causal structures obtained with the developed algorithm had fewer redundant and false edges. The following six causal relationships were identified: insulin→plasma glucose concentration, plasma glucose concentration→body mass index (BMI), triceps skin fold thickness→BMI and age, diastolic blood pressure→BMI, and number of times pregnant→age. Furthermore, the reasonableness of these causal relationships was investigated. The algorithm developed in this study enables the discovery of causal relationships among various diabetes risk factors and can serve as a reference for future causality studies on diabetes risk factors.

scholarly journals Diabetes Risk Factors and Testing in a Family Medicine Clinic

2006 ◽  
Vol 163 (suppl_11) ◽  
pp. S185-S185
Author(s):  
F.J Dallo ◽  
S.C Weller ◽  
A.R Cass
Keyword(s):  
Risk Factors ◽  
Family Medicine ◽  
Diabetes Risk ◽  
Diabetes Risk Factors ◽  
Medicine Clinic

Youth prediabetes and type 2 diabetes: Risk factors and prevalence of dysglycaemia

2021 ◽  
Author(s):  
Mohamed Saleh ◽  
Joon Young Kim ◽  
Christine March ◽  
Nour Gebara ◽  
Silva Arslanian
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Diabetes Risk ◽  
Diabetes Risk Factors

scholarly journals Direct Chemical Measurement of the λ of the Lumped Constant of the [14C]Deoxyglucose Method in Rat Brain: Effects of Arterial Plasma Glucose Level on the Distribution Spaces of [14C]Deoxyglucose and Glucose and on λ

1989 ◽  
Vol 9 (3) ◽  
pp. 304-314 ◽  
Author(s):  
Kentaro Mori ◽  
Nancy Cruz ◽  
Gerald Dienel ◽  
Thomas Nelson ◽  
Louis Sokoloff
Keyword(s):  
Plasma Glucose ◽  
Glucose Concentration ◽  
Severe Hypoglycemia ◽  
Plasma Glucose Concentration ◽  
Operational Equation ◽  
Chemical Measurements ◽  
Lumped Constant ◽  
Dg Method ◽  
Arterial Plasma ◽  
Distribution Spaces

The lumped constant in the operational equation of the 2-[14C]deoxyglucose (DG) method contains the factor λ that represents the ratio of the steady-state tissue distribution spaces for [14C]DG and glucose. The lumped constant has been shown to vary with arterial plasma glucose concentration. Predictions based mainly on theoretical grounds have suggested that disproportionate changes in the distribution spaces for [14C]DG and glucose and in the value of λ are responsible for these variations in the lumped constant. The influence of arterial plasma glucose concentration on the distribution spaces for DG and glucose and on λ were, therefore, determined in the present studies by direct chemical measurements. The brain was maintained in steady states of delivery and metabolism of DG and glucose by programmed intravenous infusions of both hexoses designed to produce and maintain constant arterial concentrations. Hexose concentrations were assayed in acid extracts of arterial plasma and freeze-blown brain. Graded hyperglycemia up to 28 m M produced progressive decreases in the distribution spaces of both hexoses from their normoglycemic values (e.g., ∼ – 20% for glucose and – 50% for DG at 28 m M). In contrast, graded hypoglycemia progressively reduced the distribution space for glucose and increased the space for [14C]DG. The values for λ were comparatively stable in normoglycemic and hyperglycemic conditions but rose sharply (e.g., as much as 9–10-fold at 2 m M) in severe hypoglycemia.

scholarly journals Changes in the Brain-Derived Neurotrophic Factor Are Associated with Improvements in Diabetes Risk Factors after Exercise Training in Adolescents with Obesity: The HEARTY Randomized Controlled Trial

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Jeremy J. Walsh ◽  
Amedeo D’Angiulli ◽  
Jameason D. Cameron ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
...  
Keyword(s):  
Risk Factors ◽  
Exercise Training ◽  
Neurotrophic Factor ◽  
Fasting Glucose ◽  
Brain Derived Neurotrophic Factor ◽  
Diabetes Risk ◽  
Model Assessment ◽  
Neurocognitive Deficits ◽  
Diabetes Risk Factors ◽  
The Brain

Obesity in youth increases the risk of type 2 diabetes (T2D), and both are risk factors for neurocognitive deficits. Exercise attenuates the risk of obesity and T2D while improving cognitive function. In adults, these benefits are associated with the actions of the brain-derived neurotrophic factor (BDNF), a protein critical in modulating neuroplasticity, glucose regulation, fat oxidation, and appetite regulation in adults. However, little research exists in youth. This study examined the associations between changes in diabetes risk factors and changes in BDNF levels after 6 months of exercise training in adolescents with obesity. The sample consisted of 202 postpubertal adolescents with obesity (70% females) aged 14–18 years who were randomized to 6 months of aerobic and/or resistance training or nonexercise control. All participants received a healthy eating plan designed to induce a 250/kcal deficit per day. Resting serum BDNF levels and diabetes risk factors, such as fasting glucose, insulin, homeostasis model assessment (HOMA-B—beta cell insulin secretory capacity) and (HOMA-IS—insulin sensitivity), and hemoglobin A1c (HbA1c), were measured after an overnight fast at baseline and 6 months. There were no significant intergroup differences on changes in BDNF or diabetes risk factors. In the exercise group, increases in BDNF were associated with reductions in fasting glucose (β = −6.57, SE = 3.37, p=0.05) and increases in HOMA-B (β = 0.093, SE = 0.03, p=0.004) after controlling for confounders. No associations were found between changes in diabetes risk factors and BDNF in controls. In conclusion, exercise-induced reductions in some diabetes risk factors were associated with increases in BDNF in adolescents with obesity, suggesting that exercise training may be an effective strategy to promote metabolic health and increases in BDNF, a protein favoring neuroplasticity. This trial is registered with ClinicalTrials.gov NCT00195858, September 12, 2005 (funded by the Canadian Institutes of Health Research).

scholarly journals Comparative Study of Fasting Plasma Glucose Concentration and Glucose Challenge Test for Screening Gestational Diabetes Mellitus

2014 ◽  
Vol 6 (2) ◽  
pp. 75-78
Author(s):  
Sujaya Sham ◽  
B Poornima R Bhat ◽  
Aruna Kamath
Keyword(s):  
Diabetes Mellitus ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Glucose Concentration ◽  
Challenge Test ◽  
Plasma Glucose Concentration ◽  
Fasting Plasma ◽  
Glucose Challenge Test ◽  
Glucose Challenge ◽  
Fasting Plasma Glucose Concentration

ABSTRACT Background To compare the sensitivity and specificity of fasting plasma glucose (FPG) with that of standard glucose challenge test (GCT). Materials and methods Eighty-nine eligible pregnant women underwent GCT between 24th and 28th gestational week, followed by a diagnostic 3 hours 100 gm oral glucose tolerance test within 1 week. Out patient clinic in Father Muller Medical College Hospital, Mangalore. Data was analyzed for significance by chi-square test. Results Fasting plasma glucose concentration at a threshold value of 90 mg/dl and GCT at recommended standard threshold of 140 mg/dl yielded sensitivities of 66.7% and 100% respectively and specificities of 87.3% and 46.5% respectively. Reducing the threshold value of FPG to 80 mg/dl increased the sensitivity of test to 91.7% with specificity of 54.9% which was comparable to standard GCT, in our study. Conclusion Measuring FPG concentration using a cut-off of. 80 mg/dl is an easier, tolerable and more cost effective procedure than GCT for detecting more severe cases of GDM, i.e. the diabetes mellitus group. In resource poor settings with population belonging to average risk or high risk category, FPG at a cut-off of 90 mg/dl can be used to screen GDM. How to cite this article Sham S, Bhat BPR, Kamath A. Comparative Study of Fasting Plasma Glucose Concentration and Glucose Challenge Test for Screening Gestational Diabetes Mellitus. J South Asian Feder Obst Gynae 2014;6(2):75-78.

A single bolus infusion of C-reactive protein increases gluconeogenesis and plasma glucose concentration in humans

Metabolism ◽  
2007 ◽  
Vol 56 (11) ◽  
pp. 1576-1582 ◽  
Author(s):  
Rakesh S. Birjmohun ◽  
Radjesh J. Bisoendial ◽  
Sander I. van Leuven ◽  
Mariette Ackermans ◽  
Aelko Zwinderman ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Glucose Concentration ◽  
Plasma Glucose Concentration ◽  
C Reactive Protein ◽  
Bolus Infusion ◽  
Single Bolus ◽  
Reactive Protein
Sign in / Sign up

Export Citation Format

Share Document