Evidence map›Paper›PMID 35271183›Full record

ArticleSensors (Basel, Switzerland)2022

Simulation of 3D Body Shapes for Pregnant and Postpartum Women.

Chanjira Sinthanayothin, Piyanut Xuto, Wisarut Bholsithi, Duangrat Gansawat, Nonlapas Wongwaen, Nantaporn Ratisoontorn, Parut Bunporn, Supiya Charoensiriwath

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Chanjira SinthanayothinNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0001-8066-1594
Piyanut XutoFaculty of Nursing, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-1338-0789
Wisarut BholsithiNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.
Duangrat GansawatNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0001-5574-5171
Nonlapas WongwaenNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.
Nantaporn RatisoontornNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0002-4273-4657
Parut BunpornNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.
Supiya CharoensiriwathNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani 12120, Thailand.ORCID 0000-0002-0616-129X

Funding

National Science and Technology Development Agency (NSTDA) n/k
6 · The paper itself

Abstract

Several studies have reported that pre-pregnant women's body mass index (BMI) affects women's weight gain with complications during pregnancy and the postpartum weight retention. It is important to control the BMI before, during and after pregnancy. Our objectives are to develop a technique that can compute and visualize 3D body shapes of women during pregnancy and postpartum in various gestational ages, BMI, and postpartum durations. Body changes data from 98 pregnant and 83 postpartum women were collected, tracked for six months, and analyzed to create 3D model shapes. This study allows users to simulate their 3D body shapes in real-time and online, based on weight, height, and gestational age, using multiple linear regression and morphing techniques. To evaluate the results, precision tests were performed on simulated 3D pregnant and postpartum women's shapes. Additionally, a satisfaction test on the application was conducted on new 149 mothers. The accuracy of the simulation was tested on 75 pregnant and 74 postpartum volunteers in terms of relationships between statistical calculation, simulated 3D models and actual tape measurement of chest, waist, hip, and inseam. Our results can predict accurately the body proportions of pregnant and postpartum women.

Indexed as

Postpartum PeriodSomatotypesBody Mass IndexFemaleGestational AgeHumansPregnancyWeight Gain3D body shapesanthropometrybody weights and measurespostpartum periodpregnancy period

Identifiers

PMID35271183
PMCPMC8914684

What OpenQuestion holds

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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.