Evidence mapPaperPMID 41934584Full record

Trial reportMaternal and child health journal2026

Preventing Excessive Gestational Weight Gain During Consecutive Pregnancies: Findings from an mHealth Intervention.

Anna Roesler, Femke Geusens, Hanne Van Uytsel, Marlien Varnfield, Roland Devlieger, Annick Bogaerts

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Maternal and child health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

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

6 authors.

Anna RoeslerThe Australian e-Health Research Centre, CSIRO, Herston, QLD, 4006, Australia. anna.roesler@deakin.edu.au.ORCID http://orcid.org/0000-0001-9446-4700
Femke GeusensDepartment of Development and Regeneration, Cluster Woman and Child, REALIFE Research Group, KU Leuven, Leuven, Belgium.
Hanne Van UytselDepartment of Development and Regeneration, Cluster Woman and Child, REALIFE Research Group, KU Leuven, Leuven, Belgium.
Marlien VarnfieldThe Australian e-Health Research Centre, CSIRO, Herston, QLD, 4006, Australia.
Roland DevliegerDepartment of Development and Regeneration, Cluster Woman and Child, REALIFE Research Group, KU Leuven, Leuven, Belgium.
Annick BogaertsDepartment of Development and Regeneration, Cluster Woman and Child, REALIFE Research Group, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExcessive gestational weight gain (EGWG) poses significant health risks, including increased pregnancy complications, obesity, and metabolic disorders. Addressing EGWG is critical for women with a history of EGWG, as recurrence is common in consecutive pregnancies. This study presents findings from a subanalysis of the intervention arm of the INTER-ACT multi-center randomied controlled trial (RCT), which evaluated the impact of a combined mobile health (mHealth) and face-to-face lifestyle coaching intervention on EGWG recurrence during consecutive pregnancies.

methodsThis subanalysis focuses on the intervention arm of the INTER-ACT RCT, conducted in six hospitals in Flanders, Belgium. The intervention consisted of two phases: the interpregnancy period (six weeks to six months postpartum) and the consecutive pregnancy (before 15 weeks post-conception to birth). Participants (n = 172) with a history of EGWG received health coaching and used an app to self-monitor weight, steps, and mental health. A multiple regression model assessed the effects of self-monitoring and coaching attendance on EGWG during the consecutive pregnancy in the intervention arm.

resultsApp engagement decreased from 78% during the interpregnancy period to 37% during the consecutive pregnancy. Self-monitoring behaviors (logging weight, steps, and mental health) or coaching attendance did not independently predict EGWG. A prior history of EGWG was the strongest predictor of EGWG recurrence, followed by older maternal age.

conclusionWhile mHealth interventions can promote self-monitoring, sustaining engagement across pregnancies remains challenging. Future strategies should focus on improving long-term adherence to mHealth tools to enhance GWG outcomes and maternal health, especially for women motivated to engage with these technologies. These findings, derived from the intervention arm of the INTER-ACT RCT, suggest that further research is needed to assess the broader applicability of these results.

Indexed as

Gestational Weight GainPregnancy ComplicationsAdultBelgiumDigital HealthFemaleHumansMentoringObesityPregnancyTelemedicineEGWGGestational weight gainmHealth interventionPregnancy

Identifiers

PMID41934584
PMCPMC13135537

What Socratic holds

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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 Socratic graph.