Assessing the Impact of AI-Driven Digital Nutrition Interventions and Behavioural Modifications on Reducing Non-Communicable Disease Risks: A Multi-Dimensional Analysis in FCT, Abuja, Nigeria

This study explored the impact of AI-driven e-nutrition interventions by analyzing data from a purposive sample of 20 participants in Abuja, Nigeria. It assessed their level of knowledge, usage, and perception regarding the use of technology instruments for dietary behaviour and NCD risk. Some of the areas explored included the awareness of e-commerce platforms, the associations between e-commerce usage and NCD’s, the barriers to use of e-commerce solutions, the contributions of technology to behaviour change and direction policy. Studies showed that though some of the participants employed technologies for calorie intake, nutrients, diseases, and related apps, issues like lack of awareness, high costs, poor interface designs, and limited availability hindered widescale adoption. With regard to practicality of these technologies, participants recognised the usefulness of such technologies to support better diet and reduce risks associated with NCDs but voiced concerns, including about effectiveness of these technologies. Further, fundamental challenges among them being restricted access to information, technical and financial difficulties, and low-income barriers were also noted. Some of the recommendations made were that self-care apps should be regulated by the government, easier to use, and culturally appropriate. The study reveals factors that include the effectiveness of digital nutrition interventions for the management of NCDs in Abuja while also exposing the areas of weakness in relation to access, design, and licencing. However, the tools developed need to remain effective and usable to all the stakeholders, which demands constant cooperation between developers, policymakers, healthcare providers and the food industry.