Diabetes, Heart and Cardiovascular Diseases News Chronicle.  Diabetes, Cardiovascular and Heart Diseases
 Article 249
    Published on September 19, 2017

 

Insufficient sleep hours increases the risk of type 2 diabetes, insulin resistance and body fat in children

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A study on 4,525 children from the United Kingdom, aged between nine and ten years, belonging to several different ethnic groups shows an association between the risk of type 2 diabetes (T2D), insulin resistance and higher blood sugar (glucose) levels in the future with an insufficient sleep (even one hour less sleep) in kids (children or teens).



Insufficient sleep increases the risk of type 2 diabetes, insulin resistance and body fats in children (kids or teens).

Researchers collected blood pressure, height, weight and bioimpedance analysis from the study participants. Bioimpedance analysis is a low cost and noninvasive approach for measuring the resistance of the body to electrical current and for the assessment of clinical condition. They collected blood samples from the participants and calculated the predisposition for the child to type 2 diabetes (T2D), insulin, lipids and HbA1c. Researchers calculated the sleep hours with a feedback from the kid. The study results show.


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  • Children are sleeping for 10.5 hours per night on an average.
  • No association between sleep duration and the risk of cardiovascular diseases, blood pressure and lipids.
  • An inverse relationship was observed between sleep duration and insulin resistance, body fat levels, insulin levels and blood sugar (glucose) levels.
  • Increased risk of insulin resistance and high blood sugar levels with just one hour of less sleep.
  • An increase of 30 minutes (mean) of sleep during weekdays causes a 0.5 percent decrease in insulin resistance and 0.1 kg/meter2 decrease in body mass index (BMI).

Authors say that this study provides an early strategy for the prevention of type 2 diabetes (T2D) in children (kids or teens). The Centers for Disease Control and Prevention (CDC) says that children aged between 9 and 12 years need between 9 and 12 hours of sleep every night.



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Lead author of the study was Professor Christopher G. Owen from St. George's, University of London. The study was published in September 2017 in the journal Pediatrics. Title of the article was "Sleep Duration and Risk of Type 2 Diabetes."



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Diabetic foot ulcers (DFU) could be predicted with the SmartMat from Podimetrics

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Diabetic foot ulcers (DFU) are common among patients with diabetes. About one-third of the patients with diabetes may be affected with foot ulcers at some point in time in their life. Now, a SmartMat and a Remote Temperature Monitoring System from Podimetrics, Somerville, Massachusetts, the United States can predict the risk of diabetic foot ulcers (DFU) and can help in lowering the risk of foot amputations.



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Diabetic foot ulcers (DFU) could be predicted with SmartMat from Podimetrics.

The mat (a heat mat) contains sensors to detect the spike in the temperature. Spike in temperature of the foot is a warning sign for a diabetic foot ulcer (DFU). The product can reduce medical costs and the risk of amputations (leg, foot or toe).

Standing on the SmartMat for about 20 seconds every day is sufficient for the product to detect the temperature spike and the inflammation associated with the foot ulcer. The monitoring service of the product can upload the data and alert the patient and physician. The patient and the physician can work together with the alert messages, take precautions and prevent the formation of an ulcer.


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A 34-week feasibility and efficacy study on 132 patients with type 2 diabetes (T2D) and diabetic foot ulcers (DFU) found that the SmartMat can identify and predict the onset of 97 percent of the diabetic foot ulcers (DFU).

Co-founder and CEO of Podimetrics are Jon Bloom, M.D, and the lead investigator is Robert Frykberg, M.D., Podiatric Medicine at Carl T Hayden VA Medical Center, Phoenix, United States. The study was published on May 2, 2017, in the Diabetes Care. Title of the article was "Feasibility and Efficacy of a Smart Mat Technology to Predict Development of Diabetic Plantar Ulcers."



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