Data-driven development and validation of a nutrient-based score to measure nutritional balance of meals in the Philippines.

Abstract

Background: The goal of the present study was to design an easily computable score, based on nutrient composition data instead of food groups, to evaluate the nutritional quality and balance of meals, adapted to the nutritional recommendations for Filipino adults.

Method: The score was defined as a weighted average of 9 nutrient scores. Protein, total fat, saturated fat, free sugars were scored as % of energy; calcium, fiber, sodium, vitamin C, magnesium were scored based on the local dietary reference intakes. The scoring algorithm was an adaption of a score previously developed by the authors based on US data. In the present study, the score was applied to 69,923 meals reported by 31,218 adult Filipinos aged 20 to 59 in the 2018 edition of the Philippine Expanded National Nutrition Survey to evaluate its validity and compare against exemplary meals designed as part of 24 h diet plans that meet local dietary guidelines.

Results: Meals from these exemplary menu plans, developed by local nutrition experts, scored on average 72.2 ± 13.9 (mean ± standard deviation) while those of survey participants scored 46.1 ± 12.9. Meal scores were significantly associated with the density of positive micronutrients (e.g., Vit A, Vit C) and favourable food groups (e.g. fruits, whole grains) not directly included in the algorithm.

Conclusion: The score, between 0 and 100, is a valid tool to assess the nutritional quality of meals consumed by the PH population, accounting for both shortfall and excess nutrients, adjusted for the energy content of the meal. If applied to consumer-facing applications, it could potentially help users to understand which meals are nutritionally balanced.