Nutrition Analytics
Performance Indicators (KPI)
This KPI tracks "Your Latest Weight," providing a current snapshot of your weight measurement. It reflects the most recent data point collected, offering immediate insight into your current weight status.
The "Fasting Average per Day" KPI calculates the daily average duration of fasting periods, providing a quantified measure of fasting practices over a specified timeframe. This metric offers insights into the consistency and intensity of fasting habits, reflecting how individuals manage their fasting routines on a day-to-day basis.
Measuring Autophagy as a KPI quantifies the cell's process of self-degradation and recycling. It's crucial in research for diseases like cancer and neurodegeneration. For our measurements, we consider 16 hours of fasting as the initial threshold for the onset of autophagy.
The "Delayed Response KPI" is especially crucial in areas such as food allergy testing, nutritional impact assessments, and the development of gastronomic products, where understanding the lag in bodily reactions to food intake is paramount. This KPI provides targeted insights into the timing and nature of delayed responses, offering valuable data for evaluating how the body reacts over time to specific foods or ingredients. By capturing these delayed effects, the KPI enhances the ability to diagnose allergies, understand nutritional benefits or detriments, and innovate food products tailored to mitigate adverse reactions or optimize health outcomes.
"These KPIs are designed to quantify the improvements in sleep quality observed 48 hours following the consumption of particular foods, with the requirement that the specific lunch and dinner pairing be documented at least twice in your dietary journal. By focusing on the correlation between dietary choices and subsequent sleep patterns, these metrics offer nuanced insights into how specific meals influence rest quality. This approach enables a targeted analysis of the long-term impacts of dietary habits on sleep, facilitating the identification of foods that contribute to enhanced sleep health.
These KPIs track the beneficial impact on weight recorded 48 hours after the intake of specific foods, necessitating that the lunch and dinner pairings are logged at least twice in your dietary journal. This methodical approach allows for a precise evaluation of how certain meals contribute to weight management over a short period. By systematically correlating dietary intake with weight changes, these metrics provide insightful data on the effectiveness of specific food combinations in achieving weight goals.
"These KPIs assess the enhancements in energy quality observed 48 hours after eating particular foods, requiring that the same lunch and dinner combinations are recorded at least twice in your dietary journal. This structured analysis helps isolate the direct effects of specific food pairings on energy levels, offering a clear insight into how diet influences energy sustainability and vitality.
This line graph visually represents the correlation between weight changes and autophagy, spotlighting the impact of various foods and practices on these factors over time. By illustrating the dynamic relationship between dietary choices and autophagy's effects on weight, this graph provides valuable insights into optimizing weight management through targeted interventions.
This pie chart visually presents a variety of foods known for their potential to contribute to weight loss in the day following consumption. The chart categorizes these foods based on their effectiveness and popularity, with a distinct separation between lunch and dinner options. This segmentation offers a clear and comprehensive view of foods that can play a role in promoting weight loss, providing individuals with insights into dietary choices that align with their weight management goals.
This table provides an inventory of foods recognized for their ability to support weight loss within one day of consumption. It furnishes in-depth information about the impact and frequency of consuming these foods. By listing these weight-loss-friendly foods, the table serves as a practical reference for individuals seeking to make informed dietary choices to achieve their weight management objectives.
This Sankey diagram visually represents the intricate connection between lunch and dinner choices, elucidating how diverse combinations influence weight loss within one day of consuming these meals. By mapping out the pathways of dietary selections, this diagram offers a comprehensive view of the factors contributing to weight management. It provides valuable insights for individuals keen on understanding the interplay between their lunch and dinner choices in achieving their weight loss goals.
This line graph visually illustrates the correlation between fasting durations and weight loss, portraying the evolving trend and impact over time. It serves as a tool for individuals to assess which fasting durations align with their weight loss goals and to monitor their progress.
This bubble chart visually represents the intricate relationship between different foods, their influence on positivity, and energy levels, providing insight into the dynamic interplay among these factors. To streamline readability, the chart abbreviates the names for lunch and dinner using the first letter of each; for instance, 'SB' represents 'Soup and Burger.' By mapping out these relationships, the chart facilitates a comprehensive understanding of how food choices impact both mood and vitality, aiding individuals in optimizing their dietary decisions for enhanced well-being.
​This bubble chart displays the impact of the top 5 foods on positivity and energy levels, highlighting the interplay among these factors.