Evidence map›Paper›PMID 38623343›Full record

ArticleHealth promotion perspectives2024

The impact of self-monitoring physical and mental health via an mHealth application on postpartum weight retention: Data from the INTER-ACT RCT.

Femke Geusens, Hanne Van Uytsel, Lieveke Ameye, Roland Devlieger, Yves Jacquemyn, Caroline Van Holsbeke, Annick Bogaerts

Open access · diamondAbstract read
In one paragraph

Article in Health promotion perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 4 institutions in 4 countries.

Femke GeusensDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-3600-2249
Hanne Van UytselREALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-2495-7187
Lieveke AmeyeREALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0001-5153-1766
Roland DevliegerREALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0001-7837-4684
Yves JacquemynDepartment of Obstetrics and Gynecology, Antwerp University Hospital UZA, Edegem, Belgium.ORCID https://orcid.org/0000-0003-3172-5672
Caroline Van HolsbekeDepartment of Obstetrics and Gynecology, Ziekenhuis Oost-Limburg ZOL, Genk, Belgium.ORCID https://orcid.org/0000-0002-9128-1367
Annick BogaertsREALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-2718-4682
Advanced Neural Dynamics (United States) · USUniversity of Antwerp · BEUppsala University · SEZiekenhuis Oost-Limburg · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postpartum weight retention (PPWR) has many health risks. Digital self-monitoring of weight can potentially make postpartum weight management easier. We aim to test to what extent the self-monitoring of weight, steps and mental health through an mHealth application increases postpartum weight loss and reduces the odds of substantial PPWR (≥5 kg). Methods: Participants were mothers in the intervention arm of the INTER-ACT multicenter randomized controlled trial (RCT), an inter-pregnancy lifestyle intervention among mothers with excessive gestational weight gain. Participants (n=288) had access to an mHealth application to log their weight, steps and mental health between 6 weeks and 6 months postpartum. A linear multiple regression model and a logistic regression model were run to test to what extent self-monitoring via the app increases postpartum weight loss and reduces the risk of substantial PPWR. Results: Women who logged their weight more often lost more weight (B=0.03, β=0.26, CI Conclusion: Mothers with excessive gestational weight gain can benefit from app-based lifestyle interventions to reduce PPWR by self-monitoring their weight. More attention to mental health in PPWR interventions is needed.

Indexed as

Gestational weight gainInternet-based interventionObesity maternalPsychosocial interventionTelemedicine

Identifiers

PMID38623343
PMCPMC11016147
OpenAlexW4392918057

What Socratic 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 Socratic graph.