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There are exciting advancements being made in the scientific areas of wellness and longevity such that now there are numerous interventions and lifestyle changes that people can make that will extend their lifespans and healthspans (number of healthy years they have). The challenge that people face is that a plethora of resources are available to guide them, and these typically recommend optimal or "best practice" solutions that are the same for all people within the same demographic and lifestyle category. This becomes problematic because not only are different people different and may respond differently to changes in their lifestyles, people also differ in the degree to which they are willing to make changes in their lifestyles. The present paper discusses the need to present people with the ability to implement satisficing as well as optimal strategies in improving their health and expected lifespans and the tools necessary to see the potential changes in outcomes/benefits that result from these satisficing options. A software program, My Youthspan, that provides users with optimal recommendations on improving lifespan and healthspan, but also allows them to conduct sensitivity analysis to determine the benefits associated with customized plans they create is discussed.

In previous papers, we have described My Youthspan, a software program that takes the latest scientific research in wellness and longevity and uses data science and machine learning to make personalized recommendations for people to live longer and be healthier. My Youthspan is targeted towards adults 40 and older, many of whom have legitimate concerns about the risk of contracting serious age-related diseases. Currently, we are developing a similar product for young adults, aged 18-40. While most young adults do not face serious diseases such as cancer or cardiovascular disease, the United States Centers for Disease Control reports that 54% of young adults have one or more chronic health conditions. While these chronic health conditions, such as obesity or high blood pressure, generally are not immediately life-threatening, they tend to be risk factors for more serious conditions later on such as stroke or heart disease. The goal of the present paper is to describe a methodology for quantifying these risk factors and then showing how they can be used in evaluating how lifestyle changes may reduce the risk in young adults of later contracting major age-related disease.