This study was performed to evaluate the effect of a six-week nutrition education intervention on the nutrition knowledge, attitude, practices, and nutrition status of school-age children (aged 6–12 years) in basic schools in Ghana. Short-term effects of nutrition education training sessions on teachers and caregivers were also assessed. Pre-post controlled design was used to evaluate the program. Intervention groups had significantly higher nutrition knowledge scores (8.8 ± 2.0 vs. 5.9 ± 2.1, P < 0.0001) compared to controls in the lower primary level. A higher proportion of children in the intervention group strongly agreed they enjoyed learning about food and nutrition issues compared to the control group (88% vs. 77%, P = 0.031). There was no significant difference in dietary diversity scores (4.8 ± 2.0 vs. 5.1 ± 1.4, P = 0.184) or in measured anthropometric indices (3.6% vs. 8.2%, P = 0.08). A marginally lower proportion of stunted schoolchildren was observed among the intervention group compared to the control group (3.6% vs. 8.2%, P = 0.080). Nutrition knowledge of teachers and caregivers significantly improved (12.5 ± 1.87 vs. 9.2 ± 2.1; P = 0.031) and (5.86 ± 0.73 to 6.24 ± 1.02, P = 0.009), respectively. Nutrition education intervention could have positive impacts on knowledge and attitudes of school children, and may be crucial in the development of healthy behaviors for improved nutrition status.

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Background There is a gap in data on dietary intake of adolescents in low- and middle-income countries. Traditional methods for dietary assessment are resource intensive and lack accuracy with regards 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 assess 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 12–18y in Vietnam, against weighed records (WR) standard, and compared FRANI performance to a multi-pass 24-hour recall (24HR). Methods Dietary intake was assessed using 3 methods: FRANI, WRs and 24HRs undertaken on three non-consecutive days. Equivalence of nutrient intakes was tested using mixed effect 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 FRANI app and WR was determined at the 10% bound for energy, protein and fat and four nutrients (iron, riboflavin, vitamin B6 and zinc), and at 15% and 20% bounds for carbohydrate, calcium, vitamin C, thiamin, niacin, and folate. Similar results were observed for differences between 24HR and WR with 20% equivalent bound for all nutrients except for vitamin A. The CCCs between FRANI and WR (0.60,0.81) were slightly lower CCCs between 24HR 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 24HR accurately estimate nutrient intake in adolescent females when compared to WR. Errors could be reduced with further improvements of AI-assisted food recognition and portion estimation.

Background: Dietary diversity is generally considered as a good indicator of nutrient adequacy and is influenced by various factors at the national, household, and individual levels. Objective: The present study sought to determine the relationships between household food insecurity, primary caregivers’ nutrition knowledge, and dietary diversity of school-aged children in Ghana. Methods: This forms part of a longitudinal study conducted in the Ayawaso West Municipal district in Accra (urban setting) and the Upper Manya Krobo district (rural setting) in Ghana. Data were collected from a total of 116 caregiver-child dyads using 24-h dietary recall and a short version of the US 12-month Household Food Security Survey Module. Nutrition knowledge and sociodemographic data were obtained using a structured questionnaire. Multivariable logistic regression was used to check for factors associated with children’s dietary diversity. Results: Majority of households reported food insecurity, with a higher percentage of insecure households located in the rural area (88.9% vs. 46.5%, P ≤ 0.0001), compared to the urban setting. Diet diversity among the study children was low, with a mean (standard deviation [SD]) of 5.8 (2.1) out of 14 food groups. Children living in food insecure households were three times more likely to have received low diverse diet compared to those from food secure households (adjusted odds ratio [OR] =3.3, 95% confidence interval [CI]: 1.4–8.0). Caregivers’ nutrition knowledge was, however, not related to children’s dietary diversity. Discussion and conclusion: Household food insecurity was a main predictor of dietary diversity among school-age children in this study. Thus, caregiver knowledge in nutrition may not be enough, particularly in the presence of food insecurity to guarantee adequate nutrition for school-aged children.

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/ĐĐĐ-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.