title: Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women.
abstract: Image-based dietary records could lower participant burden associated with traditional prospective methods of dietary assessment. They have been used in children, adolescents and adults, but have not been evaluated in pregnant women. The current study evaluated relative validity of the DietBytes image-based dietary assessment method for assessing energy and nutrient intakes. Pregnant women collected image-based dietary records (via a smartphone application) of all food, drinks and supplements consumed over three non-consecutive days. Intakes from the image-based method were compared to intakes collected from three 24-h recalls, taken on random days; once per week, in the weeks following the image-based record. Data were analyzed using nutrient analysis software. Agreement between methods was ascertained using Pearson correlations and Bland-Altman plots. Twenty-five women (27 recruited, one withdrew, one incomplete), median age 29 years, 15 primiparas, eight Aboriginal Australians, completed image-based records for analysis. Significant correlations between the two methods were observed for energy, macronutrients and fiber (r= 0.58-0.84, allp< 0.05), and for micronutrients both including (r= 0.47-0.94, allp< 0.05) and excluding (r= 0.40-0.85, allp< 0.05) supplements in the analysis. Bland-Altman plots confirmed acceptable agreement with no systematic bias. The DietBytes method demonstrated acceptable relative validity for assessment of nutrient intakes of pregnant women.
authors.affiliation: School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. amy.ashman@uon.edu.au.|Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. amy.ashman@uon.edu.au.|Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, 2/1 Hinkler Street, Tamworth 2340, New South Wales, Australia. amy.ashman@uon.edu.au.
authors.forename: Amy M
authors.initials: AM
authors.lastname: Ashman
authors.affiliation: School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. clare.collins@newcastle.edu.au.|Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. clare.collins@newcastle.edu.au.
authors.forename: Clare E
authors.initials: CE
authors.lastname: Collins
authors.affiliation: Department of Rural Health, Faculty of Health and Medicine, University of Newcastle, 114-148 Johnston Street, Tamworth 2340, New South Wales, Australia. leanne.brown@newcastle.edu.au.
authors.forename: Leanne J
authors.initials: LJ
authors.lastname: Brown
authors.affiliation: Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, 2/1 Hinkler Street, Tamworth 2340, New South Wales, Australia. kym.rae@newcastle.edu.au.|Department of Rural Health, Faculty of Health and Medicine, University of Newcastle, 114-148 Johnston Street, Tamworth 2340, New South Wales, Australia. kym.rae@newcastle.edu.au.|Priority Research Centre in Reproduction, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. kym.rae@newcastle.edu.au.
authors.forename: Kym M
authors.initials: KM
authors.lastname: Rae
authors.affiliation: School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. megan.rollo@newcastle.edu.au.|Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia. megan.rollo@newcastle.edu.au.
authors.forename: Megan E
authors.initials: ME
authors.lastname: Rollo
mesh_terms: D000328:Adult; D001315:Australia; D015930:Diet Records; D004041:Dietary Fats / Q000008:administration & dosage; D004043:Dietary Fiber / Q000008:administration & dosage; D004044:Dietary Proteins / Q000008:administration & dosage; D019587:Dietary Supplements; D002149:Energy Intake; D005260:Female; D006801:Humans; D011939:Mental Recall; D018977:Micronutrients / Q000008:administration & dosage; D008875:Middle Aged; D015596:Nutrition Assessment; D011247:Pregnancy; D037841:Pregnant People; D011446:Prospective Studies; D015203:Reproducibility of Results; D000068997:Smartphone; D012959:Socioeconomic Factors; D012984:Software; D011795:Surveys and Questionnaires; D055815:Young Adult
chemical_list: D004041:Dietary Fats; D004043:Dietary Fiber; D004044:Dietary Proteins; D018977:Micronutrients
keywords: Indigenous; image-based dietary records; mHealth; nutrition assessment; pregnancy