Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China

As an important part of antenatal care for pregnant women in China, dietary assessment plays a positive role in maternal and fetal health. Shortcomings in the associated methodologies require improvement. Our purpose was to develop a novel WeChat Applet for image-based dietary assessment (WAIDA) and...

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Main Authors: Ye Ding, Xiaolong Lu, Zhencheng Xie, Tingting Jiang, Chenglin Song, Zhixu Wang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/13/9/3158
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author Ye Ding
Xiaolong Lu
Zhencheng Xie
Tingting Jiang
Chenglin Song
Zhixu Wang
author_facet Ye Ding
Xiaolong Lu
Zhencheng Xie
Tingting Jiang
Chenglin Song
Zhixu Wang
author_sort Ye Ding
collection DOAJ
description As an important part of antenatal care for pregnant women in China, dietary assessment plays a positive role in maternal and fetal health. Shortcomings in the associated methodologies require improvement. Our purpose was to develop a novel WeChat Applet for image-based dietary assessment (WAIDA) and evaluate its relative validity among pregnant women in China. Data on 251 lunch meals of pregnant women in their second trimester were analyzed. The differences in food weight, energy, and nutrient estimates by the dietary recall or WAIDA method with the weighing method were compared using paired t-tests. Pearson correlation coefficients were used to analyze the correlation between food weight, energy, and nutrient intake obtained from the recall or WAIDA method and those obtained from the weighing method. The Bland–Altman analysis was used to examine the agreement between the recall or WAIDA method and the weighing method for energy and nutrients. Compared with the weighing method, the variation range of food weight, energy and nutrients estimated by the WAIDA method was smaller and more stable than that estimated by the recall method. Compared with the recall method, the correlations suggested a better relationship between the energy and nutrient intakes from the weighing method and those estimated by the WAIDA method (0.752–0.970 vs. 0.480–0.887), which were similar to those of food weight (0.332–0.973 vs. −0.019–0.794). The Bland-Altman analysis showed that the mean differences of the energy and nutrients estimated from the recall method were further away from zero relative to the weighing method compared to the WAIDA method and with numerically wider 95% confidence intervals. The spans between the upper and lower 95% limit of agreement (LOAs) of the energy and nutrients obtained by the WAIDA method were narrower than those obtained by the recall method, and the majority of the data points obtained by the WAIDA method lay between the LOAs, closer to the middle horizontal line. Compared with the recall method, the WAIDA method is consistent with the weighing method, close to the real value of dietary data, and expected to be suitable for dietary assessment in antenatal care.
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spelling doaj.art-8ebff36db44440c59e085f81843093042023-11-22T14:38:19ZengMDPI AGNutrients2072-66432021-09-01139315810.3390/nu13093158Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in ChinaYe Ding0Xiaolong Lu1Zhencheng Xie2Tingting Jiang3Chenglin Song4Zhixu Wang5Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, ChinaAs an important part of antenatal care for pregnant women in China, dietary assessment plays a positive role in maternal and fetal health. Shortcomings in the associated methodologies require improvement. Our purpose was to develop a novel WeChat Applet for image-based dietary assessment (WAIDA) and evaluate its relative validity among pregnant women in China. Data on 251 lunch meals of pregnant women in their second trimester were analyzed. The differences in food weight, energy, and nutrient estimates by the dietary recall or WAIDA method with the weighing method were compared using paired t-tests. Pearson correlation coefficients were used to analyze the correlation between food weight, energy, and nutrient intake obtained from the recall or WAIDA method and those obtained from the weighing method. The Bland–Altman analysis was used to examine the agreement between the recall or WAIDA method and the weighing method for energy and nutrients. Compared with the weighing method, the variation range of food weight, energy and nutrients estimated by the WAIDA method was smaller and more stable than that estimated by the recall method. Compared with the recall method, the correlations suggested a better relationship between the energy and nutrient intakes from the weighing method and those estimated by the WAIDA method (0.752–0.970 vs. 0.480–0.887), which were similar to those of food weight (0.332–0.973 vs. −0.019–0.794). The Bland-Altman analysis showed that the mean differences of the energy and nutrients estimated from the recall method were further away from zero relative to the weighing method compared to the WAIDA method and with numerically wider 95% confidence intervals. The spans between the upper and lower 95% limit of agreement (LOAs) of the energy and nutrients obtained by the WAIDA method were narrower than those obtained by the recall method, and the majority of the data points obtained by the WAIDA method lay between the LOAs, closer to the middle horizontal line. Compared with the recall method, the WAIDA method is consistent with the weighing method, close to the real value of dietary data, and expected to be suitable for dietary assessment in antenatal care.https://www.mdpi.com/2072-6643/13/9/3158Chinese pregnant womenimage-based dietary assessmentWeChat Appletrelative validitydietary recall
spellingShingle Ye Ding
Xiaolong Lu
Zhencheng Xie
Tingting Jiang
Chenglin Song
Zhixu Wang
Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
Nutrients
Chinese pregnant women
image-based dietary assessment
WeChat Applet
relative validity
dietary recall
title Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
title_full Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
title_fullStr Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
title_full_unstemmed Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
title_short Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China
title_sort evaluation of a novel wechat applet for image based dietary assessment among pregnant women in china
topic Chinese pregnant women
image-based dietary assessment
WeChat Applet
relative validity
dietary recall
url https://www.mdpi.com/2072-6643/13/9/3158
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