Project

Digital Nutrition Assessment Tool

01/09/2022–31/08/2023

Funded by Economic and Social Research Council.

Developing a food photo app for use by older people themselves and also for health and social care to check on the nutritional status gained from meals in older people with a range of care needs including dementia, diabetes, malnutrition, frailty etc.

Total award value £49,386.00

People (4)

Dr Jenni Connelly

Senior Lecturer, Sport

Professor Anna Whittaker

Professor of Behavioural Medicine, Sport

Dr Nidia Rodriguez-Sanchez

Senior Lecturer, Sport

Professor Kevin Swingler

Professor, Computing Science

Outputs (2)

Article

The role of Technology and machine learning to monitor diet in older adults; learning lessons to develop a new prototype

Connelly J & Whittaker AC (2026) The role of Technology and machine learning to monitor diet in older adults; learning lessons to develop a new prototype. Proceedings of the Nutrition Society. https://doi.org/10.1017/s0029665125102097

Article

Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool

Connelly J, Swingler K, Rodriguez-Sanchez N & Whittaker AC (2025) Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool. JMIR Aging, 8, Art. No.: e64661. https://doi.org/10.2196/64661

Digital Nutrition Assessment Tool

People (4)

Outputs (2)

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