Evidence map›Paper›PMID 30023459›Full record

ArticleContemporary clinical trials communications2018

Maternal body weight and diet management system.

Chung-Wei Chang, Yu-Yun Hsu, Su-E Kuo, Ting-Wei Hou

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Chung-Wei ChangDepartment of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
Yu-Yun HsuDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Su-E KuoDepartment of Nutritional Services, National Cheng Kung University Hospital, Tainan, Taiwan.
Ting-Wei HouDepartment of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
National Cheng Kung University · TWNational Cheng Kung University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody weight control is a significant issue to pregnant women. Overweight or underweight not only affects the normal growth of the fetus but also results in health impacts for pregnant women. Currently, some mobile applications which have released to stress how to achieve the purpose of weight control are not suitable for pregnant women. To design an appropriate mobile application of body weight control for pregnant women, a multidiscipline team collaborated.

objectiveThis study proposed a mobile application approach to assist women to maintain an ideal weight control during their pregnancy. In addition, the usefulness of the application was evaluated among pregnancy women.

methodsFirstly, the guidance of weight and diet management for pregnant women were obtained from textbooks and professional healthcare providers including nurses and nutritionists. Secondly, the researcher considered aspects of Human-Computer Interaction and theories of information technology behavior to design the mobile application. Finally, 52 pregnant women were recruited to test the prototype, which is a mobile application available on different devices with browsers.

conclusionsCompared with other similar types of body weight and diet management mobile applications, the proposed application offers several characteristics to increase pregnant women's willingness to use it.

Indexed as

Gestational weight gainInternetMaternal information systemsMaternal weightMobile devicesMulti-platform

Identifiers

PMID30023459
PMCPMC6024153
OpenAlexW2806827427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.