Evidence map›Paper›PMID 30497996›Full record

ArticleJMIR mHealth and uHealth2018

The Association Between the Use of Antenatal Care Smartphone Apps in Pregnant Women and Antenatal Depression: Cross-Sectional Study.

Yushi Mo, Wenjie Gong, Joyce Wang, Xiaoqi Sheng, Dong R Xu

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

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  16. mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature.International journal of environmental research and public health · 2020
    Article
  17. Article
  18. Apps for Depression: Are They Ready to Work?Current psychiatry reports · 2020
    Review
  19. 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

5 authors at 3 institutions in 1 country.

Yushi MoXiangYa School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0000-0002-2961-7771
Wenjie GongXiangYa School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0000-0002-7943-4041
Joyce WangXiangYa School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0000-0001-7100-7312
Xiaoqi ShengHunan Provincial Maternal and Child Health Hospital, Changsha, China.ORCID http://orcid.org/0000-0002-7639-4021
Dong R XuSun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0001-7438-632X
Central South University · CNHunan Provincial Maternal and Child Health Hospital · CNSun Yat-sen University · CN

Funding

eCapacity Development and Growth in the ASPIRE Network_eC.ASPIRER25TW010012 · FIC · UNIVERSITY OF ROCHESTER · PI CAINE, ERIC D. · 2015 to 2017
$380k
FIC NIH HHS R25 TW010012
6 · The paper itself

Abstract

backgroundAntenatal care smartphone apps are increasingly used by pregnant women, but studies on their use and impact are scarce.

objectiveThis study investigates the use of antenatal care apps in pregnant women and explores the association between the use of these apps and antenatal depression.

methodsThis study used a convenient sample of pregnant women recruited from Hunan Provincial Maternal and Child Health Hospital in November 2015. The participants were surveyed for their demographic characteristics, use of antenatal care apps, and antenatal depression. Factors that influenced antenatal pregnancy were analyzed using logistic regression.

resultsOf the 1304 pregnant women, 71.31% (930/1304) used antenatal care apps. Higher usage of apps was associated with urban residency, nonmigrant status, first pregnancy, planned pregnancy, having no previous children, and opportunity to communicate with peer pregnant women. The cutoff score of the Edinburgh Postnatal Depression Scale was 10, and 46.11% (601/1304) of the pregnant women had depression. Logistic regression showed that depression was associated with the availability of disease-screening functions in the apps (odds ratio (OR) 1.78, 95% CI 1.03-3.06) and spending 30 minutes or more using the app (OR 2.05, 95% CI 1.19-3.52). Using apps with social media features was a protective factor for antenatal depression (OR 0.33, 95% CI 0.12-0.89).

conclusionsThe prevalence of the use of prenatal care apps in pregnant women is high. The functions and time spent on these apps are associated with the incidence of antenatal depression.

Indexed as

antenatal careantenatal depressionappmobile phone

Identifiers

PMID30497996
PMCPMC6293246
OpenAlexW2889549728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.