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Analysis shows wearable data could help identify mental health conditions in diabetic populations | MobiHealthNews

Kumar said that individuals with mental health illnesses (MHI) are also at a higher risk for developing diabetes than those without. This is because MHI is associated with unhealthy eating habits, less physical activity and a potential increase in weight.  The analysis, which was complied by using data from general Achievement use, found that diabetes patients that self-reported symptoms of MHI walk on average 1,469 steps less per day than those without MHI symptoms. The mean daily steps taken by diabetes patients with no MHI symptoms was 7,032, compared to patients with MHI symptoms who walked 5,663 steps a day.  Participants with MHI symptoms had a lower frequency of days with high activity levels and more frequent days with lower activity levels than their counterparts without MHI symptoms. There was little difference in sleep between the two groups; patients with MHI symptoms slept an average of 6.48 hours and those with MHI symptoms slept an average of 6.72 hours.  The analysis looked at survey results from 1,330 participants with diabetes. Three hundred and thirty-six or 25.3 percent reported having some MHI in the last year. Of that 77 percent reported having anxiety symptoms and 23.7 percent reported having some form of depression.

Is soda bad for your brain? (And is diet soda worse?): Both sugary, diet drinks correlated with accelerated brain aging -- ScienceDaily

Now, new research suggests that excess sugar -- especially the fructose in sugary drinks -- might damage your brain. Researchers using data from the Framingham Heart Study (FHS) found that people who drink sugary beverages frequently are more likely to have poorer memory, smaller overall brain volume, and a significantly smaller hippocampus -- an area of the brain important for learning and memory. But before you chuck your sweet tea and reach for a diet soda, there's more: a follow-up study found that people who drank diet soda daily were almost three times as likely to develop stroke and dementia when compared to those who did not.

FitBit's new sleep tracker is pretty darn cool

imagine what we’ll learn as warehouses worth of enhanced sleep data like get integrated into drug trials, therapy, physical exams, coaching, research and even education.

Bipolar disorder: New method predicts who will respond to lithium therapy -- ScienceDaily

Wondering whether the differences could be predictive, the team trained a computer program to recognize the variations between the profiles of responders and nonresponders using the firing patterns of 450 total neurons over six independent training rounds. In each round, they started fresh with the neurons of five of the patients to train the system. They then tested the system with the neurons of the sixth patient, whose lithium status was known to the team but not to the program. They repeated the process five more times, which allowed them to build essentially six independent models. Each model was trained on the data from five out of the six patients, leaving a different patient out of the training data each time, and then letting the model classify this remaining patient as a responder or nonresponder. Using the firing patterns of just five of any patient's neurons, the system identified the person as a responder or nonresponder with 92 percent accuracy.

A Test That Finds the Perfect Drug? - The Atlantic

Brain Resource, meanwhile, gives depression patients an online test that gauges memory, self-regulation, and emotion. Their responses are then compared against a database that contains the results of 1,000 individuals who took the same test. The thinking is that patients who score similarly will be helped by similar drugs. Currently, Brain Resource evaluates a patient’s likely response to three common depression drugs, which are sold under the brand names Lexapro, Zoloft, and Effexor. The online test takes 40 minutes, and according to Brain Resource’s founders, the results are available within two minutes. (The test is currently awaiting FDA approval.)

Computational Neuroscience Approach to Biomarkers and Treatments for Mental Disorders. - PubMed - NCBI

For many disorders, the reported accuracies have reached 90% or more. However, we note that rigorous tests on independent cohorts are critically required to translate this research into clinical applications. Finally, we discuss the utility of the disorder-specific features found by the data-driven approach to psychiatric therapies, including neurofeedback. Such developments will allow simultaneous diagnosis and treatment of mental disorders using neuroimaging, thereby establishing "theranostics" for the first time in clinical psychiatry.