Clinical Trial

Personal Lifestyle Medicine Center

Study Description

Personal Lifestyle Engine (PLX) - Personal Lifestyle Medicine Center (PLMC)

It has been suggested that the best medicine should include four principles (4P) - Medicine should be personalized, predictive, preventative and participatory. Technology has provided the tools to collect data in ways not previously possible. Individuals can now collect information on their genome (including their genetic predisposition to tolerate medications and to respond to healthy lifestyle programs) that will modify their lifestyle and therapeutic choices. Beyond spot checks of vital signs and weight, individuals can now collect information on body composition, continuous monitoring of heart rate, blood pressure, and even blood sugar. Data on food consumption at a caloric, macronutrient and even micronutrient level can be collected. Standard medical histories and detailed physical examination findings and laboratory biomarkers can be correlated with this data. Collections of individual patient data will need to be managed through computer programs and smart phone applications that provide direct feedback about the influence of lifestyle on health, wellness and biomarkers. To this end, Metagenics is designing and is launching a smart phone application, Personal Lifestyle Engine (PLX), for individual use by patients and their healthcare providers. The statistical analysis of these data is the primary objective of this study.


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No pharmaceutical medication involved No pharmaceutical medication involved
Patients and healthy individuals accepted Patients and healthy individuals accepted

Methods have not been listed for this study. If you require more information about the methods of this study, please inquire with the researcher.

Additional Information

Official Study Title

Personal Lifestyle Engine (PLX) is an Employee Wellness Platform and App Used at the Personal Lifestyle Medicine Center (PLMC). This Study Examines Correlations Between Lifestyle Factors, Genomic Data, Physical Exam Finding and Biomarkers

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