Evidence map›Paper›PMID 35711572›Full record

ArticleCurrent developments in nutrition2022

Eating for 2: A Systematic Review of Dutch App Stores for Apps Promoting a Healthy Diet during Pregnancy.

Janine P M Faessen, Desiree A Lucassen, Marion E C Buso, Guido Camps, Edith J M Feskens, Elske M Brouwer-Brolsma

Open access · goldAbstract read
In one paragraph

Article in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  8. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia.International journal of environmental research and public health · 2023
    Article
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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 2 institutions in 1 country.

Janine P M FaessenDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-0685-6462
Desiree A LucassenDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Marion E C BusoDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Guido CampsDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-3136-8671
Edith J M FeskensDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Elske M Brouwer-BrolsmaDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Wageningen University & Research · NLEindhoven University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A healthy diet during pregnancy has been associated with beneficial child and maternal health outcomes but is challenging to achieve. Recent technological advances offer new opportunities to support pregnant women in their food choices-for instance, via apps. This is already reflected by a wide availability of pregnancy-related apps, but health care professionals feel unsure about their potential. Therefore, the Dutch Google Play Store and Apple App Store were reviewed to identify existing apps on diet and pregnancy. App quality was assessed using the

Indexed as

appsbehavior change techniquesdietary assistancediet during pregnancymHealthmobile applicationspericonceptional dietpregnancyquality assessment

Identifiers

PMID35711572
PMCPMC9197571
OpenAlexW4226303993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.