Coffee Cup Research Review: What is it?

This will be an informal research review that will be under 500 words and take 3-5 minutes to read. It will usually involve some important statistics and brief study explanation followed up with a few take away points and a sassy picture of me drinking coffee (because why not).

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Approaching the Deload Week

You can only #beastmode your way through so many days, weeks, or months of training. What most people fail to realize is that a lot of posts made by the strong, jacked, and ripped people of instagram tend to only show their good side. It should be no surprise that many social media posts are going to show people in a positive light. Realize that high level athletes are not exempt from bad training days. This is where the topic of deloading comes in. So what exactly is a deload? A deload is essentially backing off from training in order to further recovery. It is often an overlooked aspect of training. It turns out some rest every now and then is pretty good for you. As mentioned previously, the deload is used simply as a break from training. It has both physical and psychological benefits. We need to recover because, simply put, exercise is stress. Allowing proper recovery c an decrease risk of injury and stimulate muscle growth. That’s right ladies and ...

Emerging Technologies and Methods of Assessing Heart Rate Variability to Determine Cardiovascular Disease Risk

Link to google drive doc with sources. Warning: This is a research paper and will take an estimated 10-15 minutes to read. In recent decades heart rate variability (HRV) has been applied in the clinical setting to treat and diagnose cardiovascular disease and other disorders. Extensive research into HRV can be traced to the early 1990s. HRV involves measuring the beat-to-beat variability by the heart to assess the function of the autonomic nervous system. HRV can therefore be used as a tool to assess the function of the parasympathetic nervous system or vagal tone as well. Many different mathematical equations or logarithms currently exist to measure and express HRV. The literature most commonly expresses HRV as the standard deviation of N-N intervals (SDNN) or as the square root of the mean of the sum of the squares of the successive differences between adjacent normal R-R intervals (RMSSD). Observing the variability from a low frequency gives insight into sympathetic modulatio...

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