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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2017-01-01
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Online Access: | http://www.mdpi.com/2072-6643/9/1/73 |
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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 |
work_keys_str_mv |
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