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00925njm 22002777a 4500 dc Alonso-Bernáldez, Marta author Palou, Andreu author Zamanillo Campos, Rocío author Palou, Andreu author Palou, Mariona author Serra, Francisca author 2023-03-09 Although nutrient profiling systems can empower consumers towards healthier food choices, there is still a need to assess diet quality to obtain an overall perspective. The purpose of this study was to develop a diet profiling algorithm (DPA) to evaluate nutritional diet quality, which gives a final score from 1 to 3 with an associated color (green-yellow-orange). It ranks the total carbohydrate/total fiber ratio, and energy from saturated fats and sodium as potentially negative inputs, while fiber and protein are assumed as positive items. Then, the total fat/total carbohydrate ratio is calculated to evaluate the macronutrient distribution, as well as a food group analysis. To test the DPA performance, diets of a lactating women cohort were analyzed, and a correlation analysis between DPA and breast milk leptin levels was performed. Diets classified as low quality showed a higher intake of negative inputs, along with higher energy and fat intakes. This was reflected in body mass index (BMI) and food groups, indicating that women with the worst scores tended to choose tastier and less satiating foods. In conclusion, the DPA was developed and tested in a sample population. This tool can be easily implemented in digital nutrition platforms, contributing to real-time dietary follow-up of patients and progress monitoring, leading to further dietary adjustment. Alonso-Bernáldez M, Palou-March A, Zamanillo-Campos R, Palou A, Palou M, Serra F. A Diet Profiling Algorithm (DPA) to Rank Diet Quality Suitable to Implement in Digital Tools´A Test Study in a Cohort of Lactating Women. Nutrients. 2023 Mar 9;15(6):1337. 10.3390/nu15061337 2072-6643 Nutrients https://hdl.handle.net/20.500.13003/18934 36986066 L2022314550 2-s2.0-85152265914 https://hdl.handle.net/20.500.12105/23571 968365900001 A Diet Profiling Algorithm (DPA) to Rank Diet Quality Suitable to Implement in Digital Tools-A Test Study in a Cohort of Lactating Women