What are the most effective methods for visualising and communicating dietary surveillance data to influence stakeholders, including policymakers, industry, and the public?
Background
FSS is committed to building a comprehensive evidence base to understand dietary patterns and inform public health nutrition policy. Central to this is the innovative tool Intake24 to collect and analyse dietary intake data. This enables FSS to assess progress against the Scottish Dietary Goals (SDG), identify at-risk population groups, and track changes over time. FSS is establishing a robust dietary surveillance programme that consolidates all monitoring activities, identifies evidence gaps, and supports new research. These efforts are underpinned by a commitment to digital innovation, including the use of dashboards and infographics to make data more accessible and impactful for policy makers and public engagement. In addition, the surveillance programme will consider options for improved reporting on under-represented groups and markers of environmental sustainability.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Related UKRI funded projects
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Data-driven integration of emerging technologies to generate a Standardised and Objective Dietary Intake Assessment Tool
Nutrition surveys aim to understand how usual diets impact health. The problem with this is that we don't have an accurate tool to assess diet. We rely on people telling us what they have eaten in the last day or month. ...
Funded by: MRC
Lead research organisation: Aberystwyth University
Why might this be relevant?
Partially relevant as it focuses on developing a tool for dietary assessment, but not specifically on visualizing and communicating data.
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MICA: Partnership for Improvement and Innovation in Dietary Assessment Technology (PIIDAT)
Studies of diet and disease relationships are difficult to carry out and often generate conflicting results. Problems occur because measuring diet in large populations is challenging. Measurement error happens in dietary...
Funded by: MRC
Lead research organisation: University of Leeds
Why might this be relevant?
Partially relevant as it focuses on improving dietary assessment technology, but not specifically on visualizing and communicating dietary surveillance data.
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Adaptation of Intake24 to assess dietary pattern and its association with chronic diseases in Malawi
Poor diet poses the largest risk factor for non-communicable diseases (NCDs) compared with sedentary lifestyle, alcohol and tobacco combined. An estimated 40% of deaths in Malawi are attributable to NCDs and understandin...
Funded by: MRC
Lead research organisation: University of Malawi
Why might this be relevant?
The project aims to adapt Intake24 for dietary surveillance in Malawi, providing data to inform public health policies and improve overall health, aligning with the question's focus on visualizing and communicating dietary surveillance data to influence stakeholders.