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

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 ima...

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Main Authors: Amy M. Ashman, Clare E. Collins, Leanne J. Brown, Kym M. Rae, Megan E. Rollo
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Nutrients
Subjects:
Online Access:http://www.mdpi.com/2072-6643/9/1/73
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spelling doaj-921792f1a30545f1b36c736825dac3922020-11-25T01:31:59ZengMDPI AGNutrients2072-66432017-01-01917310.3390/nu9010073nu9010073Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant WomenAmy M. Ashman0Clare E. Collins1Leanne J. Brown2Kym M. Rae3Megan E. Rollo4School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, AustraliaSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, AustraliaDepartment of Rural Health, Faculty of Health and Medicine, University of Newcastle, 114-148 Johnston Street, Tamworth 2340, New South Wales, AustraliaGomeroi gaaynggal Centre, Faculty of Health and Medicine, University of Newcastle, 2/1 Hinkler Street, Tamworth 2340, New South Wales, AustraliaSchool of Health Sciences, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan 2308, New South Wales, AustraliaImage-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.http://www.mdpi.com/2072-6643/9/1/73nutrition assessmentpregnancymHealthimage-based dietary recordsIndigenous
collection DOAJ
language English
format Article
sources DOAJ
author Amy M. Ashman
Clare E. Collins
Leanne J. Brown
Kym M. Rae
Megan E. Rollo
spellingShingle Amy M. Ashman
Clare E. Collins
Leanne J. Brown
Kym M. Rae
Megan E. Rollo
Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
Nutrients
nutrition assessment
pregnancy
mHealth
image-based dietary records
Indigenous
author_facet Amy M. Ashman
Clare E. Collins
Leanne J. Brown
Kym M. Rae
Megan E. Rollo
author_sort Amy M. Ashman
title Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
title_short Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
title_full Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
title_fullStr Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
title_full_unstemmed Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women
title_sort validation of a smartphone image-based dietary assessment method for pregnant women
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2017-01-01
description 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.
topic nutrition assessment
pregnancy
mHealth
image-based dietary records
Indigenous
url http://www.mdpi.com/2072-6643/9/1/73
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