Purpose of Ease
Ease is a wellness app designed to help users understand how nutrition, habits, and lifestyle choices affect their daily well-being. Ease provides insights based on AI analysis of meal composition and glucose trends from the user’s Apple Health account, with the goal of encouraging healthier everyday behaviors.
Ease is not a medical device or diagnostic app. We do not provide medical advice or guidance for individuals with specific medical conditions (such as diabetes), or for the management or treatment of any disease. For any medical concerns or dietary changes, please consult a qualified healthcare professional.
Our app is based on publicly available, evidence-based nutrition and health guidelines from reputable organizations listed below. Ease is not affiliated with or endorsed by any of these sources.
Glucose Patterns & Post-Meal Responses
Ease displays glucose readings sourced from the user’s Apple Health account to help visualize natural variations throughout the day. Patterns such as glucose spikes, recoveries, and stability periods are shown using definitions that are consistent with publicly available educational and health resources.
Ease does not interpret or evaluate these readings; it simply presents the glucose data recorded in the user’s Apple Health account.
The following public health and research sources inform the glucose terminology and educational context used in the app:
Centers for Disease Control and Prevention (CDC): Managing Blood Sugar
American Diabetes Association (ADA): Understanding Blood Glucose Levels
Harvard T.H. Chan School of Public Health: Carbohydrates and Blood Sugar
Jenkins DJA, et al. Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr. 1981;34(3):362–366. https://pubmed.ncbi.nlm.nih.gov/6259925/
Wolever TMS, et al. The glycemic index: methodology and clinical implications. Am J Clin Nutr. 2004;80(1):99–111. https://pubmed.ncbi.nlm.nih.gov/1951155/ .
Meal Scoring & Macronutrient Balance
Ease’s meal feedback (e.g., carb quality, fat quality, protein adequacy, fiber intake) is guided by established dietary frameworks and public recommendations for balanced eating:
U.S. Department of Health and Human Services (HHS) & U.S. Department of Agriculture (USDA): Dietary Guidelines for Americans, 2020–2025
World Health Organization (WHO): Healthy Diet Fact Sheet
Harvard T.H. Chan School of Public Health: Healthy Eating Plate
National Health Service (NHS, UK): Eatwell Guide
Post-Meal Activity & Habit Nudges
Suggestions such as light walking after meals or incorporating daily movement are based on well-established public health research showing benefits for metabolic and cardiovascular wellness:
Centers for Disease Control and Prevention (CDC): Physical Activity Basics
World Health Organization (WHO): Physical Activity Factsheet
Harvard Health Publishing: 5 Surprising Benefits of Walking
Reynolds AN, Mann JI, Williams S, Venn BJ. Advice to walk after meals is more effective for lowering postprandial glycaemia in type 2 diabetes mellitus than advice that does not specify timing: a randomised crossover study. Diabetologia. 2016 Dec;59(12):2572-2578. doi: 10.1007/s00125-016-4085-2. Epub 2016 Oct 17. PMID: 27747394. https://pubmed.ncbi.nlm.nih.gov/27747394
Meal Scoring & Nutrition Evaluation
Ease’s meal scoring system is designed to help users understand the general nutritional balance of their meals and their impact on daily wellness goals. It does not diagnose, prescribe, or assess medical risk.
Meal scores are generated automatically by AI using standardized nutritional frameworks and publicly available dietary guidelines.
Ease’s meal analysis process includes three steps:
1. Ingredient Identification
The app identifies meal components (e.g., chicken, rice, vegetables) based on the user’s photo and/or notes. Estimated quantities are derived from standard serving sizes and food database averages based on these public sources of information:
U.S. Department of Agriculture (USDA): FoodData Central
FAO/INFOODS: Food Composition Database
2. Macronutrient & Quality Assessment
Each ingredient is classified by carbohydrate, fat, and protein content to estimate overall macronutrient balance, nutrient density, and caloric profile. Evaluation metrics include:
Macronutrient Ratio – compared against public recommendations for balanced eating
Carbohydrates: 40–50% of total energy
Protein: 25–35%
Fat: 20–30%
Sources:
USDA Dietary Guidelines for Americans, 2020–2025
World Health Organization (WHO): Healthy Diet Factsheet
Carbohydrate Quality – informed by glycemic index and fiber content based on these public sources of information
Harvard T.H. Chan School of Public Health: Carbohydrates and Blood Sugar
International GI Database (University of Sydney): Glycemic Index Database
Fat Quality – based on the proportion of unsaturated to saturated fats based on these public sources of information
Harvard Nutrition Source: Types of Fat
American Heart Association: Healthy Fats Guide
Protein Quality – assessed by source variety and completeness based on these public sources of information:
Harvard Health: How Much Protein Do You Need Every Day?
FAO/WHO: Joint WHO/FAO/UNU Expert Consultation. Protein and amino acid requirements in human nutrition. World Health Organ Tech Rep Ser. 2007;(935):1-265, back cover. PMID: 18330140. https://pubmed.ncbi.nlm.nih.gov/18330140/
3. Glucose Display & Meal Impact Overview
Glucose data are read directly from the user’s Apple Health account, reflecting measurements collected by their Continuous Glucose Monitoring (CGM) device. Ease does not interpret these readings — it simply displays them and provides educational context based on standard definitions of glucose patterns (e.g., “spike,” “recovery”) based on these public sources of information:
Centers for Disease Control and Prevention (CDC): Managing Blood Sugar
American Diabetes Association (ADA): Understanding Blood Glucose Levels
Harvard Nutrition Source: Carbohydrates and Blood Sugar
Meal Score Calculation
Each meal in Ease receives a composite score (0–100) that summarizes its overall nutritional balance and post-meal response. This is a wellness-oriented metric designed to help users observe patterns — not a medical diagnostic tool.
The score combines two components:
1. Macronutrient Quality Score
Based on the balance of carbohydrates, fats, and proteins in the meal, as well as estimated nutrient density and fiber content. This scoring follows widely recognized dietary frameworks for optimal macronutrient distribution and food quality:
U.S. Department of Health and Human Services & U.S. Department of Agriculture: Dietary Guidelines for Americans, 2020–2025
World Health Organization (WHO): Healthy Diet Factsheet
Harvard T.H. Chan School of Public Health: Healthy Eating Plate
Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002 Feb;13(1):3-9. Doi: 10.1097/00041433-200202000-00002. PMID: 11790957. https://pubmed.ncbi.nlm.nih.gov/11790957/
Drewnowski A. Concept of a nutritious food: toward a nutrient density score. Am J Clin Nutr. 2005 Oct;82(4):721-32. doi: 10.1093/ajcn/82.4.721. PMID: 16210699. https://pubmed.ncbi.nlm.nih.gov/16210699/
2. Glucose Response Score
Represents the factual display of post-meal glucose change as recorded in the user’s Apple Health account. The glucose data originate from Continuous Glucose Monitoring (CGM) readings that the user has permitted Apple Health to share with Ease.
Ease does not interpret or alter the readings; it presents them visually using commonly accepted definitions of glucose variability and stability, outlined in these public sources of information:
American Diabetes Association (ADA): Understanding Blood Glucose Levels
Scientific Reference: Jenkins DJA, et al. Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr. 1981;34(3):362–366. https://pubmed.ncbi.nlm.nih.gov/6259925/
Wolever TMS, et al. The glycemic index: methodology and clinical implications. Am J Clin Nutr. 2004;80(1):99–111. https://pubmed.ncbi.nlm.nih.gov/1951155/
3. Calculation Method
The Meal Score is computed as the arithmetic mean of the Macronutrient Quality Score and the Glucose Response Score, rounded to the nearest whole number. This provides a single, easy-to-understand summary of how balanced a meal is and how it correlates with the user’s glucose readings.
The purpose of this metric is to encourage habit awareness and self-reflection — not to provide medical or diagnostic guidance.
Nutrient Highlights (as shown in meal insights)
Carbohydrates & Fiber:
Carbohydrates and Blood Sugar – Harvard T.H. Chan School of Public Health
Fiber – Harvard T.H. Chan School of Public Health
Whole Grains – MyPlate.gov
Protein:
Protein Foods – MyPlate.gov
Protein and Heart Health – American Heart Association
How Much Protein Do You Need – Harvard Health
Fats:
Types of Fat – Harvard T.H. Chan School of Public Health
Dietary Fat and Disease – Harvard T.H. Chan School of Public Health
Fats 101 – American Heart Association
Sugar & Sodium:
Added Sugars – Harvard T.H. Chan School of Public Health
How Much Sugar Is Too Much – American Heart Association
Salt and Sodium – Harvard T.H. Chan School of Public Health
Methodology & Data Handling
All glucose data displayed in Ease originates from the user’s Apple Health account. The readings are first collected by the user’s Continuous Glucose Monitoring (CGM) device (for example, Abbott Lingo or Dexcom Stelo) and then securely stored by Apple Health, which acts as the intermediary data source.
With the user’s explicit consent, Ease accesses this existing Apple Health data through Apple’s authorized HealthKit interface. The app does not connect to or read directly from any medical device, perform any measurement, or modify the underlying data in any way.
Ease does not perform any measurement, use iPhone sensors, or alter any readings.
AI-generated insights are derived from the user’s glucose patterns and meal data, following the guidelines and research sources listed above.
Disclaimer
Ease’s wellness and nutrition insights are AI-generated using publicly available dietary guidelines. They are for informational purposes only and not a substitute for professional medical advice.