Evidence map›Paper›PMID 37089268›Full record

ArticlemHealth2023

Development and feasibility of a web-based gestational weight gain intervention for women with pre-pregnancy overweight or obesity.

Molly E Waring, Tiffany A Moore Simas, Grace E Heersping, Lauren R Rudin, Kavitha Balakrishnan, Abigail R Burdick, Sherry L Pagoto

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Molly E WaringDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Tiffany A Moore SimasDepartment of Population & Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Grace E HeerspingDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Lauren R RudinDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Kavitha BalakrishnanDepartment of Population & Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Abigail R BurdickDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Sherry L PagotoDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
University of Connecticut · USUniversity of Massachusetts Chan Medical School · US

Funding

UNIVERSITY OF MASSACHUSETTS CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031982 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$6.8M
TRACE-COREU01HL105268 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2010 to 2013
$5.8M
Implementation Research Training Program in Cancer Prevention and ControlR25CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K, LEMON, STEPHENIE C. · 2014 to 2018
$1.9M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR000160 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2014
$1.7M
Mentoring in mHealth and Social Networking Interventions for CVD Risk ReductionK24HL124366 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI PAGOTO, SHERRY L. · 2015 to 2024
$1.1M
NCATS NIH HHS KL2 TR000160NCI NIH HHS R25 CA172009NCRR NIH HHS UL1 RR031982NHLBI NIH HHS K24 HL124366NHLBI NIH HHS U01 HL105268
6 · The paper itself

Abstract

Background: Excessive gestational weight gain is associated with negative maternal and infant health outcomes. Digital health approaches may help overcome barriers to participating in lifestyle interventions requiring in-person visits. The purpose of this study was to develop and examine the feasibility of a web-based gestational weight gain intervention. Methods: Intervention development included feedback and input from pregnant women. We conducted a 12-week one-arm pilot study during which participants engaged in an online discussion board with coaches and other pregnant women, tracked their weight gain with an interactive graph, and accessed a list of online resources for pregnancy health. Feasibility outcomes were recruitment, retention, engagement and sustained participation, intervention acceptability, and website usability. Gestational weight gain was an exploratory outcome. Results: Participants (n=12) were on average 16.8 [standard deviation (SD): 2.0] weeks gestation with average pre-pregnancy body mass index of 30.5 (SD: 4.8) kg/m Conclusions: Additional development work is needed before moving to efficacy testing. Most notably, usability issues with the investigator-developed website and participant preference suggest a switch to a commercial social media platform.

Indexed as

gestational weight gain (GWG)lifestyle interventionpilot studyPregnancywebsite

Identifiers

PMID37089268
PMCPMC10119439
OpenAlexW4321484603

What OpenQuestion 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 OpenQuestion graph.