There are many scientific studies on PubMed exploring the many variables impacting physical activity levels in context of the national health issue of obesity as a risk factor leading to chronic illnesses such as diabetes mellitus, cardiovascular disease, and cerebrovascular disease. There are two notable studies that will be referenced for its high relevance to and support of the design of our national health project with a preventive medicine focus.
Effects of financial incentives on motivating physical activity among older adults: results from a discrete choice experiment
(2014, Duke, led by Dr. Finklestein)
Framing Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults
(2016, University of Pennsylvania, Patel et al.)
In summary, a study from Duke suggests that financial incentives lead to increased physical activity level (2014). Interestingly, an MD/MBA professor at Wharton and UPenn hospital also pointed out in the past year that a financial loss component is a greater motivator for increased physical activity level (2016).
It is most likely that our work is so multidisciplinary that some people may not fully appreciate the pioneering nature of our health project built on a preventive medicine digital health platform for sustainability, scalability, and measurability. It has always been this case and in time, it will get to a point where the societal need is clear.
There is a societal lack of attention on sustained, long-term exercise to maximize the reduction of chronic illnesses. Nutrition is the other component completing the behavioral element of susceptibility to obesity-driven diseases. Once behavioral factor is maxed out in effectiveness and efficiency of the individual, the remaining component is molecular and environmental factors. Human genetic engineering within the decade would work at the molecular level in coordination with behavioral.
Despite the importance of the genetic component, it is not the all end single factor as behavioral will supersede the genetic constitution assuming the highest level of prevention and probability of susceptibility to diabetes, cardiovascular disease, and cerebrovascular disease. For instance, an individual with surplus consumption in calories will initiate metabolic pathways to store the excess calories and with storage in adipose tissue, insulin receptor per surface area square cm will decrease and will decrease sensitivity of the insulin hormone. While the first step in genetic engineering is the identification and target of susceptible alleles for said chronic disease, genetic manipulation to coordinate complex biomolecular activities seem to be far out.
One of the major reasons for the lack of a societal need to focus on chronic illnesses in respect to all the clinical trends is that it’s highly, extremely, difficult to navigate through the legal codes, understand the financial tax implications, figure out the right entity model whether nonprofit or otherwise or a combination for aligned incentives, coordinate a technology engineering team, add in the designers to the mix for health participant usability, communicate the value proposition to the health participants, convey the clear benefits of joining our efforts aligned with his or her unique compelling story for candidacy upon graduation, and lastly, an operator with a tech programming, public health, and medical background to put together the puzzle pieces.