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Nutrients 2017, 9(1), 73; doi:10.3390/nu9010073

Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women

1
School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia
2
Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia
3
Gomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, 2/1 Hinkler Street, Tamworth 2340, New South Wales, Australia
4
Department of Rural Health, Faculty of Health and Medicine, University of Newcastle, 114-148 Johnston Street, Tamworth 2340, New South Wales, Australia
5
Priority Research Centre in Reproduction, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia
*
Author to whom correspondence should be addressed.
Received: 27 November 2016 / Revised: 12 January 2017 / Accepted: 13 January 2017 / Published: 18 January 2017
(This article belongs to the Special Issue Technology Based Approaches to Dietary Intake Assessment)
View Full-Text   |   Download PDF [759 KB, uploaded 18 January 2017]   |  

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, all p < 0.05), and for micronutrients both including (r = 0.47–0.94, all p < 0.05) and excluding (r = 0.40–0.85, all p < 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. View Full-Text
Keywords: nutrition assessment; pregnancy; mHealth; image-based dietary records; Indigenous nutrition assessment; pregnancy; mHealth; image-based dietary records; Indigenous
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Ashman, A.M.; Collins, C.E.; Brown, L.J.; Rae, K.M.; Rollo, M.E. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women. Nutrients 2017, 9, 73.

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