Evidence map›Paper›PMID 34579035›Full record

Observational studyNutrients2021

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

Ye Ding, Xiaolong Lu, Zhencheng Xie, Tingting Jiang, Chenglin Song, Zhixu Wang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
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  4. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ye DingDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-7732-3073
Xiaolong LuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhencheng XieDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Tingting JiangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Chenglin SongDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhixu WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-1633-6313
Nanjing Medical University · CN

Funding

A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions Public Health and Preventive Medicinethe National Program on Basic Research Project of China 2019FY101001
6 · The paper itself

Abstract

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.

Indexed as

Mobile ApplicationsNutrition AssessmentSmartphoneAdultChinaDietDiet RecordsEatingFemaleHumansPregnancyPregnant PeoplePrenatal Nutritional Physiological PhenomenaReproducibility of ResultsChinese pregnant womendietary recallimage-based dietary assessmentrelative validityWeChat Applet

Identifiers

PMID34579035
PMCPMC8470395
OpenAlexW3200354136

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.