Evidence mapPaperPMID 41136661Full record

ArticleCommunications medicine2025

Participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain: a systematic review and meta-analysis.

Jessica A Grieger, Wubet Worku Takele, Kimberly K Vesco, Leanne M Redman, Wesley Hannah, Maxine P Bonham, Mingling Chen, Sian C Chivers, Andrea J Fawcett, Nahal Habibi and 10 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

20 authors.

Jessica A Grieger *Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0003-1515-948X
Wubet Worku Takele *Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia.
Kimberly K VescoKaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA.
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, LA, USA.
Wesley HannahMadras Diabetes Research Foundation, Gopalapuram, Chennai, India.ORCID http://orcid.org/0000-0003-4163-247X
Maxine P BonhamDepartment of Nutrition and Dietetics, Monash University, Melbourne, VIC, Australia.
Mingling ChenMonash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-7992-1838
Sian C ChiversDepartment of Women and Children's Health, King's College London, London, UK.ORCID http://orcid.org/0000-0002-4060-2714
Andrea J FawcettAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-2247-3429
Nahal HabibiAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Kai LiuAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Eskedar Getie MekonnenGlobal Health Institute, University of Antwerp, Antwerp, Belgium.
Maleesa PathiranaAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Alejandra QuinterosAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0009-0007-4976-4932
Rachael TaylorSchool of Health Sciences, University of Newcastle, Callaghan, NSW, Australia.
Gebresilasea G UkkeKaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA.ORCID http://orcid.org/0000-0003-0932-1276
Shao J ZhouSchool of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia.
ADA/EASD PMDI
Jami JosefsonAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-0339-0166
Siew LimKaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA. siew.lim1@monash.edu.ORCID http://orcid.org/0000-0002-5333-6451

Funding

Aberrant DNA Methylation Underlying Prenatal Exposures and Increased Newborn and Childhood AdiposityR01DK118403 · NIDDK · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Jami L Josefson · 2022 to 2023
$790k
NIDDK NIH HHS R01 DK118403NIDDK NIH HHS R01 DK124806
6 · The paper itself

Abstract

backgroundPrecision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their effectiveness. In this study, we examined the role of participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain (GWG).

methodsWe searched Medline, Embase, and PubMed, from inception up to March 2025, to identify randomized and non-randomized controlled trials of lifestyle interventions (diet, physical activity, or combined) commencing before or during pregnancy. Participant characteristics, including age, race/ethnicity, body mass index (BMI), employment status, fasting low- and high-density lipoprotein cholesterol (HDL-C) were assessed. Mean differences (MD) in GWG were pooled using the random-effect model. Meta-regression and subgroup analysis were conducted by participant characteristics (e.g., BMI).

resultsA total of 86 studies with 28,270 participants were included in this systematic review and meta-analysis. All lifestyle intervention types significantly reduced GWG. Combined lifestyle interventions initiated at first (MD -0.68; 95% confidence interval [CI]: -1.28, -0.07) and early second (13-17 weeks) trimester (MD -0.83; 95% CI: -1.46, -0.20) provide better effectiveness in optimizing GWG. Diet-only interventions significantly reduced GWG only in participants with normal BMI (MD -1.33 kg; CI: -1.75, -1.91) compared to the other BMI categories. Combined diet and physical activity interventions reduce excessive GWG in women with higher baseline HDL-C (β -0.04; 95% CI -0.06, -0.01).

conclusionsLifestyle interventions reduced excessive GWG, with possible differential effects by intervention initiation time, BMI, and HDL-C. Future studies should consider physiological as well as social characteristics, in line with a holistic framework for precision medicine.

Identifiers

PMID41136661
PMCPMC12552448

What Socratic 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 Socratic graph.