health briefs
In a two-part study published in the Journal of Sleep Research, scientists surveyed 1,732 individuals and found that 69 percent use the snooze feature on their morning alarm, and of those people, 60 percent usually or always fall asleep between alarms. Snoozing is more common among younger people and night owls. For those using this feature, drowsiness and shorter sleep is more common. The study also sought to determine the effects of snoozing on 31 habitual snoozers. The first morning, the participants repeatedly hit the button to gain 30 extra minutes, and on the second morning, the participants got up on the first alarm. The researchers reported that 30 minutes of snoozing either improved or did not affect performance on cognitive tests administered directly upon rising, as compared to an abrupt awakening. There were no clear effects from snoozing on cortisol awakening response, morning sleepiness, mood or overnight sleep.
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Red Light Therapy to Reduce Glucose Levels APeopleImages.com - Yuri A/shutterstock.com
Hitting the Snooze Button
The U.S. Centers for Disease Control estimates that 37.3 million Americans, or 11.3 percent of the population, have diabetes, which means the body does not produce enough insulin, causing too much blood glucose (sugar) to stay in the bloodstream. Over time, diabetes can cause serious health problems, such as heart disease, vision loss and kidney disease. Researchers from the University of London conducted a study of the effects of red light therapy on blood sugar levels. In the study, 15 participants received 670 nanometers of red light onto approximately 800 square centimeters of their exposed back for 15 minutes. The 15-person control group had the same equipment placed on their back, but the light was not turned on. The result was a significant reduction in blood sugar levels in the group exposed to red light following a glucose intake by the participants. Over a two-hour period following the therapy, maximum glucose spiking was reduced by 5.1 percent. Red light exposure can be used to reduce blood glucose spikes following meals as a safe, non-invasive treatment for diabetes management at home.
Diagnosing Alzheimer’s Using Artificial Intelligence
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According to the Alzheimer’s Association, more than 6 million Americans and their families are living with Alzheimer’s disease. To determine if a person has the disease and rule out other possible causes of cognitive disfunction, doctors use several methods and tools, such as memory and problem-solving tests, biomarker tests and brain scans. Companies and scientists are engaged in harnessing the power of artificial intelligence (AI) to improve diagnosis. Here are three examples. RetiSpec, a Toronto-based medical imaging company, claims to have developed an AI algorithm for its eye scanner that can detect signs of Alzheimer’s 20 years before symptoms develop, as well as Parkinson’s, vascular dementia and amyotrophic lateral sclerosis (ALS). California-based NeuroVision Imaging uses its AI-enhanced retinal imaging system to look for the buildup of certain proteins or blood vessels with a twisted shape, which are both associated with Alzheimer’s disease. Rui Chang, Ph.D., a researcher at the University of Arizona College of Medicine, built an AI model to identify genetic triggers linked to Alzheimer’s, which would otherwise potentially take a decade to identify. His model will be tested in a clinical trial led by PATH Biotech, an AI-powered medical solutions company founded by Chang. 6
Bucks & Montgomery County, PA Edition
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