nutrients Article Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women Amy M. Ashman 1,2,3, Clare E. Collins 1,2, Leanne J. Brown 4, Kym M. Rae 3,4,5 and Megan E. Rollo 1,2,* 1 School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia;
[email protected] (A.M.A.);
[email protected] (C.E.C.) 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;
[email protected] 4 Department of Rural Health, Faculty of Health and Medicine, University of Newcastle, 114-148 Johnston Street, Tamworth 2340, New South Wales, Australia;
[email protected] 5 Priority Research Centre in Reproduction, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, Australia * Correspondence:
[email protected]; Tel.: +61-02-4921-5649 Received: 27 November 2016; Accepted: 13 January 2017; Published: 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.