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The Most Common Hassle For Type 1 Diabetes Patients

The Most Common Hassle For Type 1 Diabetes Patients

The Most Common Hassle For Type 1 Diabetes Patients


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The Most Common Hassle For Type 1 Diabetes Patients
Barrier means more work including monitoring more often and making more adjustments.
Changing the perception of hassle is most likely the most common barrier we can deal with for type 1 patients who do not choose to wear pumps and CGMs.
Findings from a survey of more than 1,500 participants in the T1D Exchange were published online November 29 in Diabetes Care by Molly L. Tanenbaum, PhD, of the department of pediatrics, Stanford University School of Medicine, Palo Alto, California, and colleagues.
In the survey, which includes data for more than 28,000 type 1 diabetes patients at 75 specialty clinics around the United States, about two-thirds were wearing insulin pumps, but in 20132014 only about 9% were using CGMs.
Cost is the most common reason for those who dont have insurance. This was the most often-cited reasons for not wearing insulin pumps or CGMs.
But the studys main focus was on potentially modifiable barriers for which interventions could be developed to improve uptake. Of those, hassle and cosmetic concerns about wearing a device on the body all the time topped the list, and these reasons were most often cited by younger patients.
Having a discussion with your patients about the use of these technologies can help clear the air and provide possible financial assistance.
Since the data shows quite a variety of different barriers and reasons people may have for not using devices, some of which are modifiable, those Continue reading

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Baths ward-off diabetes, but showers are more hygienic! | Daily Mail Online

Baths ward-off diabetes, but showers are more hygienic! | Daily Mail Online


Research suggests it might even help athletes and improve fitness levels.Scientists at Bangor University have discovered that a hot bath can even stimulate the immune system.
Professor Neil Walsh, an exercise scientist at the university, explains: This may be helpful for heavy exercisers, as hard exercise temporarily decreases immune function.
Here are the health facts you need to weigh up when deciding whether you should bath or shower
Last year, experts at Loughborough University discovered that sitting for an hour in a hot bath (40c/104f) lowered blood sugar levels more effectively than spending the same amount of time cycling. This could, in turn, lower the risk of type 2 diabetes.
There are two reasons why baths might affect blood sugar levels, says Dr Steve Faulkner, an exercise physiologist and the studys author, now based at Nottingham Trent University.
First, heat increases blood flow around the body as the body tries to cool itself down, and this increased blood flow is thought to increase the amount of blood sugar taken up by the muscles, which thereby reduces the amount in the blood.
Health boost: Experts recently conducted a study which claimed taking baths could lower the risk of type 2 diabetes, which is increasingly-common
We also suspect substances called heat shock proteins play a role, says Dr Faulkner. As the name suggests, these are produced by cells in response to heat, and they play a role in blood sugar regulation.
Its unlikely that heat shock proteins will be produced to the same extent if you opt for a shower.
You are fully submerged in Continue reading

Machine Learning forDiabetes

Machine Learning forDiabetes


The above plot shows the training and test set accuracy on the y-axis against the setting of n_neighbors on the x-axis. Considering if we choose one single nearest neighbor, the prediction on the training set is perfect. But when more neighbors are considered, the training accuracy drops, indicating that using the single nearest neighbor leads to a model that is too complex. The best performance is somewhere around 9 neighbors.
The plot suggests that we should choose n_neighbors=9. Here we are:
knn = KNeighborsClassifier(n_neighbors=9)
print('Accuracy of K-NN classifier on training set: {:.2f}'.format(knn.score(X_train, y_train)))
print('Accuracy of K-NN classifier on test set: {:.2f}'.format(knn.score(X_test, y_test)))
Accuracy of K-NN classifier on training set: 0.79
Accuracy of K-NN classifier on test set: 0.78
Logistic Regression is one of the most common classification algorithms.
from sklearn.linear_model import LogisticRegression
print("Training set score: {:.3f}".format(logreg.score(X_train, y_train)))
print("Test set score: {:.3f}".format(logreg.score(X_test, y_test)))
The default value of C=1 provides with 78% accuracy on the training and 77% accuracy on the test set.
logreg001 = LogisticRegression(C=0.01).fit(X_train, y_train)
print("Training set accuracy: {:.3f}".format(logreg001.score(X_train, y_train)))
print("Test set accuracy: {:.3f}".format(logreg001.score(X_test, y_test)))
Using C=0.01 results in lower accuracy on both the training and the test sets.
logreg100 = LogisticRegression(C=100).fit(X_train, y_train)
print("Training set accuracy Continue reading

What to Know About Metformin

What to Know About Metformin


Metformin is considered a first-line drug for people who have Type 2 diabetes . While there are a growing number of classes of drugs to help treat Type 2 diabetes, most clinical guidelines suggest that metformin be prescribed first. Why? Metformin is safe, effective, and inexpensive. In addition, metformin may provide other health benefits besides helping to lower blood sugar. But metformin remains somewhat shrouded in mystery and controversy. Not everyone understands how it works, and many people claim that its dangerous and should be avoided like the plague (we can thank the Internet for perpetuating some of these unfounded facts). While metformin isnt for everyone, theres a lot about this drug thats helpful and important to know.
Metformin has been around for a long time.
Metformin contains a substance called guanidine, which can lower blood sugars. Guanidine is found in an herb called goats rue (also known as French lilac), and this herb has been used to treat diabetes since the early 1900s. The FDA approved metformin in 1995, although its been used in the UK since 1958.
Metformin can be used to treat prediabetes .
About 84 million people in the U.S. have prediabetes. Most of them dont know they have it. And without intervention, about 70% of them will go on to develop Type 2 diabetes. The Diabetes Prevention Program (DPP) , a landmark clinical trial, showed that lifestyle changes (weight loss, healthy eating, physical activity) can lower the risk of getting Type 2 diabetes by close to 60%. It also showed that taking metformin can lower the risk by 31%. Data from Continue reading

Relation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies

Relation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies


Relation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies
Christine S. Tsilas , HBSc, Russell J. de Souza , ScD RD, Sonia Blanco Mejia , MD MSc, Arash Mirrahimi , MSc, Adrian I. Cozma , MSc, Viranda H. Jayalath , MSc, Vanessa Ha , MSc, Reem Tawfik , HBSc, Marco Di Buono , PhD, Alexandra L. Jenkins , PhD, Lawrence A. Leiter , MD, Thomas M.S. Wolever , MD PhD, Joseph Beyene , PhD, Tauseef Khan , MBBS PhD, Cyril W.C. Kendall , PhD, David J.A. Jenkins , MD PhD, and John L. Sievenpiper , MD PhD
Toronto 3D Knowledge Synthesis and Clinical Trials Unit (Tsilas, de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Tawfik, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sievenpiper), Clinical Nutrition and Risk Factor Modification Centre, St. Michaels Hospital, Toronto, Ont.; Division of Food and Nutritional Sciences (Tsilas), Brescia University College at Western University, London, Ont.; Department of Nutritional Sciences (de Souza, Blanco Mejia, Mirrahimi, Cozma, Jayalath, Ha, Di Buono, A. Jenkins, Leiter, Wolever, Khan, Kendall, D. Jenkins, Sieven-piper), Faculty of Medicine, University of Toronto, Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (de Souza, Ha, Beyene), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; School of Medicine (Mirrahimi), Faculty of Health Sciences, Queens University, Kingston, Ont.; MD Program (Cozma, Jayalath), Faculty of Medicine University of Toronto, Toronto, Ont.; Department of Medicine (Leiter, Wolever, D. Jenkins, Continue reading

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