Calk can estimate sugar and carbohydrate from recorded food. It cannot see your blood-glucose response.
The report keeps several questions separate: how much sugar appeared, how much was added, which foods supplied it, how often sweet snacks appeared, and whether a meal carried a high estimated glycemic load.
Throughout this page a meal means one eating occasion: the dishes recorded within 45 minutes of each other, not each separate line in the diary.
Total Sugar Pattern#
What Calk calculates. Calk totals all sugar in the diary and identifies the largest repeated source. It also checks whether a high total comes mainly from foods with intrinsic sugar, such as fruit or unsweetened dairy, or from foods with added sugar.
Total sugar alone is not a verdict. A piece of fruit and a soft drink both contain sugar, but they do not have the same fiber, water, micronutrients or eating context.
What you can do. Start with the named source. If it is fruit or plain dairy, the total may need context rather than reduction. If it is a sweetened drink, dessert or sauce that appears repeatedly, decide whether the portion or frequency matches what you intended.
Added Sugar#
What Calk calculates. Added sugar is sugar introduced during manufacture or preparation. Calk estimates its share of recorded energy, counts days above the internal reference and identifies the main source when the data supports one.
WHO recommends keeping free sugars below 10% of total energy and suggests further reduction below 5% for additional health benefits. “Free sugars” is broader than “added sugar”: it also includes sugar in honey, syrups and fruit juice World 2020.
What you can do. Check repeated drinks, sweetened yogurt, breakfast products, sauces and desserts. Sugar-sweetened beverages are a useful first place to look because they can add substantial energy without replacing much solid food Malik 2019.
Natural and Added Sources#
Calk compares the total-sugar pattern with the added-sugar pattern. This prevents a high fruit intake from being described in the same way as a high intake from sweetened products.
The split depends on the food data available for each ingredient. It describes the sources in the diary.
Sweet Snack Frequency#
What Calk calculates. Calk counts the days on which foods classified as sweet snacks appeared and their share of recorded energy. What matters here is occasional versus repeated.
What you can do. If one sweet snack appears on many days, make its place deliberate: a chosen portion after a meal, a smaller package, or a different snack on some days. Keep the food if the arrangement works.
Snack Quality#
What Calk calculates. For small eating occasions — 50 to 300 kcal in total and under 15% of that day’s energy — Calk checks whether they provide meaningful protein or fiber relative to their energy. The diary does not record which of them was meant as a snack, so size decides what gets counted. This is a narrow composition test.
What you can do. If a snack is meant to solve hunger, choose one with protein or fiber: yogurt, fruit with nuts, vegetables with hummus, an egg, or a bean-based snack. If it is meant to be dessert, let it be dessert.
Meal Carbohydrate Balance#
What Calk calculates. Calk finds meals in which carbohydrate supplies most of the energy, then checks whether the meal also contains meaningful amounts of both protein and fiber.
What you can do. Keep the carbohydrate and complete the meal: add beans to rice, eggs to toast, tofu to noodles, or vegetables and protein to pasta. The aim is a complete meal.
Estimated Glycemic Load#
What Calk calculates. When enough carbohydrate in a meal has glycemic-index data, Calk estimates glycemic load from carbohydrate amount and the available index values. It highlights meals with a high load, notes how often they come back, and checks whether they include protein. Total fiber is deliberately not part of that check: what blunts the glucose rise is the viscous, soluble fraction, and the food data does not separate it.
Glycemic load is a population-based food estimate. Individual responses vary, and the calculation does not include every effect of cooking, ripeness, meal order or personal metabolism. Prospective research associates higher dietary glycemic load with higher type 2 diabetes risk, but it cannot predict one person’s response to one meal Livesey 2019.
What you can do. Use the result to inspect a repeated meal. A smaller portion of the refined carbohydrate, a higher-fiber version, or added protein and vegetables are concrete tests. If you need personal glucose information, that calls for clinical guidance and measurement.