title: Evaluation of a Mobile Phone Image-Based Dietary Assessment Method in Adults with Type 2 Diabetes.
abstract: Image-based dietary records have limited evidence evaluating their performance and use among adults with a chronic disease. This study evaluated the performance of a 3-day mobile phone image-based dietary record, the Nutricam Dietary Assessment Method (NuDAM), in adults with type 2 diabetes mellitus (T2DM). Criterion validity was determined by comparing energy intake (EI) with total energy expenditure (TEE) measured by the doubly-labelled water technique. Relative validity was established by comparison to a weighed food record (WFR). Inter-rater reliability was assessed by comparing estimates of intake from three dietitians. Ten adults (6 males, age: 61.2 ± 6.9 years old, BMI: 31.0 ± 4.5 kg/m(2)) participated. Compared to TEE, mean EI (MJ/day) was significantly under-reported using both methods, with a mean ratio of EI:TEE 0.76 ± 0.20 for the NuDAM and 0.76 ± 0.17 for the WFR. Correlations between the NuDAM and WFR were mostly moderate for energy (r = 0.57), carbohydrate (g/day) (r = 0.63, p < 0.05), protein (g/day) (r = 0.78, p < 0.01) and alcohol (g/day) (rs = 0.85, p < 0.01), with a weaker relationship for fat (g/day) (r = 0.24). Agreement between dietitians for nutrient intake for the 3-day NuDAM (Intra-class Correlation Coefficient (ICC) = 0.77-0.99) was lower when compared with the 3-day WFR (ICC = 0.82-0.99). These findings demonstrate the performance and feasibility of the NuDAM to assess energy and macronutrient intake in a small sample. Some modifications to the NuDAM could improve efficiency and an evaluation in a larger group of adults with T2DM is required.
authors.affiliation: Priority Research Centre in Physical Activity and Nutrition and School of Health Sciences, University of Newcastle, Callaghan, New South Wales 2308, Australia. megan.rollo@newcastle.edu.au.
authors.forename: Megan E
authors.initials: ME
authors.lastname: Rollo
authors.affiliation: School of Exercise and Nutrition Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland 4059, Australia. s.ash@qut.edu.au.
authors.forename: Susan
authors.initials: S
authors.lastname: Ash
authors.affiliation: School of Exercise and Health Sciences, Edith Cowan University, Joondalup, Western Australia 6027, Australia. p.lyons-wall@ecu.edu.au.
authors.forename: Philippa
authors.initials: P
authors.lastname: Lyons-Wall
authors.affiliation: Department of Diabetes and Endocrinology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia. Anthony.Russell2@health.qld.gov.au.|School of Medicine, University of Queensland, Woolloongabba, Queensland 4102, Australia. Anthony.Russell2@health.qld.gov.au.
authors.forename: Anthony W
authors.initials: AW
authors.lastname: Russell
mesh_terms: D000368:Aged; D015992:Body Mass Index; D040421:Cell Phone; D003924:Diabetes Mellitus, Type 2 / Q000378:metabolism*; D015930:Diet Records; D004041:Dietary Fats / Q000008:administration & dosage; D004044:Dietary Proteins / Q000008:administration & dosage; D002149:Energy Intake; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015596:Nutrition Assessment; D010865:Pilot Projects; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires
chemical_list: D004041:Dietary Fats; D004044:Dietary Proteins
keywords: diabetes; doubly labelled water; image-based dietary records; nutrition assessment