4/8/2024 0 Comments Macro meal planner appsTDEE is determined by four key factors of expending energy: Basal Metabolic Rate (BMR), Thermic Effect of Food (TEF), Non-Exercise Activity Thermogenesis (NEAT), and Thermic Effect of Activity (TEA). First, the TDEE must be calculated to determine the number of calories expend and the amount needed to eat in a daily basis. The meal planner of the proposed web-based application, Plan-Cook-Eat, is grounded on the macronutrient distribution of calories. This progressive web application is a small part of a more intelligent system that uses forward chaining algorithm named "Virtual Dietitian – A Knowledge-Based System". In pursuit to develop a meal recommender system grounded on nutrition knowledge, this study proposed the "Plan-Cook-Eat", a progressive web application that generates meal plans compliant to the necessary macronutrient distribution of daily calories based on individuals' Total Daily Energy Expenditure (TDEE). It is likewise possible that these systems are too reliant on user preference and not on nutrition guidelines like Food-Based Dietary Guidelines. As known on nutrition science, there are existing recommender systems on the healthy domain but Trattner & Elsweiler concluded that these systems still remain preliminary largely due to the nonappearance of integrated nutrition knowledge (e.g., the inclusion of Pinggang Pinoy of FNRI-DOST when generating a meal plan, see Figure 1). Common examples are the use of content-based, collaborative, or hybrid system. In the design and development of a food recommender system, there are several techniques to employ depending on the goals and system features needed in order to make efficient meal suggestions. The use of online recommender systems is evidently useful in complex environments to overcome information overload problem by assisting users on the decision-making process and serving as a modality to change user behavior. An example of such intervention is via the use of food recommender systems to encourage healthier nutritional choices. Problems that are known to hinder the attainment of adequate nutrition are lack of nutrition knowledge, poor appetite control, bad food choices and too reliant on family members' food preferences, which later result to inadequate nutrition.īecause of these nutrition challenges that pose threat to human life, public health interventions are being proposed in order to come up with a solution on how to counteract these problems. Albeit the relationship between nutrition and health has been established by the nutrition science field, a prevalent problem still perseveres when it comes to the willingness to ensure a good nutritional status. Conducted by Food and Nutrition Research Institute of the Department of Science and Technology (FNRI-DOST), the study revealed that Chronic Energy Deficiency and Anemia were uppermost among unemployed Filipinos, and high total cholesterol levels were peak among officials, amongst other disorders. The derivation of such proposition stemmed from the societal health-related issue of inadequate nutrition which emerged from the latest National Nutrition Survey. Among the strategic thrusts proposed in PPAN is the assurance of adequate nutrient intake to address nutrition-related diseases (e.g., diabetes, hypertension, and some forms of cancer) and disorders (e.g., malnutrition and obesity). The Philippine Plan of Action for Nutrition 2017-2022 is among the essential components of Philippine Development Plan in collocation to 10-point Economic Agenda of Duterte Administration. Keywords: Nutrition Science, Meal Planner, Macronutrients, Mobile Application Development, Dietetics, Nutrition Suggestions and interpretations were made regarding the technical improvements that could be done to enhance the app as a complete virtual nutrition assistant. Study participants confirmed and concluded the potential of Plan-Cook-Eat web app as a personal meal planner to ensure the consumption of needed macronutrients. Six Registered Nutritionists–Dietitians served as a panel of human expert validators and 24 regular users served as app testers for evaluation using mixed-methods approach. Drawing from a parallel-iterative design methodology, this paper proposed the development of a web-based meal planner app called ‘Plan-Cook-Eat' that can generate tailored diet plans according to individual's needs. While the field of dietetics and nutrition has been bombarded with food recommender systems over the years, little research has been performed on meal planner applications grounded on macronutrients compliance. One essential factor of a balanced diet to prevent morbidity and mortality, and promote a good nutritional status is the consumption of nutrient-dense foods with an appropriate macronutrients dispersal (carbohydrates, protein, fat) and the right amount of calories based on personal energy expenditure.
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