title: Validation of the NANA (Novel Assessment of Nutrition and Ageing) touch screen system for use at home by older adults.
abstract: Prospective measurement of nutrition, cognition, and physical activity in later life would facilitate early detection of detrimental change and early intervention but is hard to achieve in community settings. Technology can simplify the task and facilitate daily data collection. The Novel Assessment of Nutrition and Ageing (NANA) toolkit was developed to provide a holistic picture of an individual's function including diet, cognition and activity levels. This study aimed to validate the NANA toolkit for data collection in the community. Forty participants aged 65 years and over trialled the NANA toolkit in their homes for three 7-day periods at four-week intervals. Data collected using the NANA toolkit were compared with standard measures of diet (four-day food diary), cognitive ability (processing speed) and physical activity (self-report). Bland-Altman analysis of dietary intake (energy, carbohydrates, protein fat) found a good relationship with the food diary and cognitive processing speed and physical activity (hours) were significantly correlated with their standard counterparts. The NANA toolkit enables daily reporting of data that would otherwise be collected sporadically while reducing demands on participants; older adults can complete the daily reporting at home without a researcher being present; and it enables prospective investigation of several domains at once.
authors.affiliation: Ontario Shores Centre for Mental Health Sciences, Canada; University of Sheffield, UK. Electronic address: a.astell@sheffield.ac.uk.
authors.forename: A J
authors.initials: AJ
authors.lastname: Astell
authors.affiliation: University of Reading, UK.
authors.forename: F
authors.initials: F
authors.lastname: Hwang
authors.affiliation: University of Manchester, UK.
authors.forename: L J E
authors.initials: LJ
authors.lastname: Brown
authors.affiliation: University College Dublin, Ireland.
authors.forename: C
authors.initials: C
authors.lastname: Timon
authors.affiliation: University of Glasgow, UK.
authors.forename: L M
authors.initials: LM
authors.lastname: Maclean
authors.affiliation: University of Reading, UK.
authors.forename: T
authors.initials: T
authors.lastname: Smith
authors.affiliation: University of Bath, UK.
authors.forename: T
authors.initials: T
authors.lastname: Adlam
authors.affiliation: University of Bath, UK.
authors.forename: H
authors.initials: H
authors.lastname: Khadra
authors.affiliation: University of Sheffield, UK.
authors.forename: E A
authors.initials: EA
authors.lastname: Williams
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology / Q000523:psychology; D003071:Cognition; D003625:Data Collection / Q000379:methods / Q000706:statistics & numerical data; D015930:Diet Records; D005260:Female; D006801:Humans; D008297:Male; D009043:Motor Activity; D015596:Nutrition Assessment; D011446:Prospective Studies; D057566:Self Report; D012984:Software; D006113:United Kingdom; D014584:User-Computer Interface
keywords: Ageing; Cognition; Nutrition; Physical activity; Technology