The Sugar Challenge Study is a real-world, longitudinal study aimed at understanding the impact of lifestyle (i.e. food choices, physical activity and sleep patterns), genetics and personalized lifestyle recommendations on blood glucose levels, blood pressure, immune system status, stress hormone levels and microbiome composition. The purpose of this 10-day observational study was to primarily elucidate the impact of food choices, physical activity, and sleep patterns on an individual's blood glucose. In addition, we probed if continuous and personalized feedback to participants would improve glycemic control acutely through better decision making. Multiple investigations may be performed over an indefinite period of time to improve the understanding of these interconnected relationships. For example, we will perform studies to understand an individual's blood glucose response to an oral glucose load or mixed meal. We will also perform studies to determine the phenotype (clinical, metabolic, or immunologic) associated with a particular genotype. The data collected will be analyzed using proprietary machine learning methods.
This is a longitudinal study involving use of the January App which collects multiple data streams and employs machine learning techniques to offer personalized lifestyle recommendations and structured food and activity challenges.