Bridging the evidence-to-action gap: enhancing alignment of national nutrition strategies in Cambodia, Laos, and Vietnam with global and regional recommendations.

Nutrition policies are critical frameworks for tackling the triple burden of malnutrition, including undernutrition (i.e., stunting and wasting), overweight, and hidden hunger (i.e., micronutrient deficiencies). We examined (1) the alignment of recent National Nutrition Strategies and Action Plans (NNS) in Cambodia, Laos, and Vietnam with recent global and regional recommendations and standards with a focus on maternal, infant, and young child nutrition and (2) changes compared to the previous NNS. We extracted information regarding the context, objectives, interventions, indicators, strategies, and coordination mechanisms from the most recent NNSs in Cambodia (2019-2023), Laos (2021-2025), and Vietnam (2021-2030). Recent NNSs aimed to reduce malnutrition among priority populations and described program development, monitoring, and evaluation plans for the following interventions: breastfeeding promotion, improved complementary feeding, dietary diversity, safe water, food security, nutritional/health campaigns, strategies for vulnerable groups, and strengthening of policies related to food and nutrition. Direct interventions to improve women's general nutrition (outside of pregnancy) and adolescent nutrition were not the focus of any NNSs. Although some indicators (e.g., wasting and exclusive breastfeeding) were covered in all recent NNSs, other indicators (e.g., low birth weight and childhood overweight and obesity) were inconsistently incorporated. In comparison to the previous NNS, the following interventions were discontinued in three countries: dietary counseling, maintaining physical activity, monitoring weight gain during pregnancy, maternal micronutrient supplementation, and nutrition and HIV. Despite similarities in structure and content, the recent NNSs of Cambodia, Laos, and Vietnam do not consistently align with global and regional recommendations. Variations in the types of interventions and indicators included may reflect a shift in priorities, attention, or resources. In conclusion, the NNSs of Cambodia, Laos, and Vietnam exhibit both structural and content similarities; however, certain interventions and indicators vary across countries and differ from global and regional recommendations. Enhancing alignment while prioritizing country-specific needs, optimizing coordination, ensuring policy efficacy, and updating nutrition strategy data for cross-country comparisons and knowledge exchange is critical to ensure progress on reducing malnutrition in the region.

Relative validity of a mobile AI-technology-assisted dietary assessment in adolescent females in Vietnam.

BACKGROUND: There is a gap in data on dietary intake of adolescents in low- and middle-income countries (LMICs). Traditional methods for dietary assessment are resource intensive and lack accuracy with regard to portion-size estimation. Technology-assisted dietary assessment tools have been proposed but few have been validated for feasibility of use in LMICs. OBJECTIVES: We assessed the relative validity of FRANI (Food Recognition Assistance and Nudging Insights), a mobile artificial intelligence (AI) application for dietary assessment in adolescent females (n = 36) aged 12-18 y in Vietnam, against a weighed records (WR) standard and compared FRANI performance with a multi-pass 24-h recall (24HR). METHODS: Dietary intake was assessed using 3 methods: FRANI, WR, and 24HRs undertaken on 3 nonconsecutive days. Equivalence of nutrient intakes was tested using mixed-effects models adjusting for repeated measures, using 10%, 15%, and 20% bounds. The concordance correlation coefficient (CCC) was used to assess the agreement between methods. Sources of errors were identified for memory and portion-size estimation bias. RESULTS: Equivalence between the FRANI app and WR was determined at the 10% bound for energy, protein, and fat and 4 nutrients (iron, riboflavin, vitamin B-6, and zinc), and at 15% and 20% bounds for carbohydrate, calcium, vitamin C, thiamin, niacin, and folate. Similar results were observed for differences between 24HRs and WR with a 20% equivalent bound for all nutrients except for vitamin A. The CCCs between FRANI and WR (0.60, 0.81) were slightly lower between 24HRs and WR (0.70, 0.89) for energy and most nutrients. Memory error (food omissions or intrusions) was ∼21%, with no clear pattern apparent on portion-size estimation bias for foods. CONCLUSIONS: AI-assisted dietary assessment and 24HRs accurately estimate nutrient intake in adolescent females when compared with WR. Errors could be reduced with further improvements in AI-assisted food recognition and portion estimation.

Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test.

Unhealthy diets are a critical global concern while dietary measure methods are time consuming and expensive. There is limited evidence that phone-based interventions can improve nutrition data collection and dietary quality, especially for adolescents in developing countries. We developed an artificial-intelligence-based phone application called Food Recognition Assistance and Nudging Insights (FRANI) to address these problems. FRANI can recognize foods in images, track food consumption, display statistics and use gamified nudges to give positive feedback on healthy food choice. This study protocol describes the design of new pilot studies aimed at measuring the feasibility (acceptability, adherence, and usability) of FRANI and its effects on the quality of food choice of adolescents in Ghana and Vietnam. In each country, 36 adolescents (12-18 years) will be randomly allocated into two groups: The intervention group with the full version of FRANI and the control group with the functionality limited to image recognition and dietary assessment. Participants in both groups will have their food choices tracked for four weeks. The control groups will then switch to the full version of FRANI and both groups will be tracked for a further 2 weeks to assess acceptability, adherence, and usability. Analysis of outcomes will be by intent to treat and differences in outcomes between intervention and control group will use Poisson and odds ratio regression models, accounting for repeated measures at individual levels. If deemed feasible, acceptable and usable, FRANI will address gaps in the literature and advance the nutrition field by potentially improving the quality of food choices of adolescent girls in developing countries. This pilot study will also provide insights on the design of a large randomized controlled trial. The functioning and dissemination of FRANI can be an important step towards highly scalable nutrition data collection and healthier food choices for a population at risk of malnutrition. The study protocol and the methods and materials were approved by the Institutional Review Board (IRB) of the IFPRI on April 29th, 2020 (registration number #00007490), the Thai Nguyen National Hospital on April 14th, 2020 (protocol code 274/DDD-BVTWTN) and the University of Ghana on August 10th, 2020 (Federalwide Assurance FWA 00001824; NMIMR-IRB CPN 078-19/20). The study protocol was registered in the International Standard Randomized Controlled Trial Number (ISRCTN 10681553; https://doi.org/10.1186/ISRCTN10681553) on November 12, 2021.