Evidence map›Paper›PMID 35191497›Full record

ArticleTranslational behavioral medicine2022

Feedback on Instagram posts for a gestational weight gain intervention.

Molly E Waring, Sherry L Pagoto, Tiffany A Moore Simas, Grace Heersping, Lauren R Rudin, Kaylei Arcangel

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Molly E WaringDepartment of Allied Health Sciences and UConn Center for mHealth and Social Media, University of Connecticut, Storrs, CT, USA.ORCID 0000-0002-9884-9824
Sherry L PagotoDepartment of Allied Health Sciences and UConn Center for mHealth and Social Media, University of Connecticut, Storrs, CT, USA.ORCID 0000-0002-2462-8797
Tiffany A Moore SimasDepartments of Obstetrics and Gynecology, Pediatrics, Psychiatry, and Population and Quantitative Health Sciences, University of Massachusetts Medical School/UMass Memorial Health Care, Worcester, MA, USA.ORCID 0000-0002-8356-6418
Grace HeerspingDepartment of Allied Health Sciences and UConn Center for mHealth and Social Media, University of Connecticut, Storrs, CT, USA.
Lauren R RudinDepartment of Allied Health Sciences and UConn Center for mHealth and Social Media, University of Connecticut, Storrs, CT, USA.ORCID 0000-0002-8367-5956
Kaylei ArcangelDepartment of Allied Health Sciences and UConn Center for mHealth and Social Media, University of Connecticut, Storrs, CT, USA.ORCID 0000-0002-4763-9309

Funding

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
NHLBI NIH HHS K24 HL124366NIH HHS K24HL124366
6 · The paper itself

Abstract

Lifestyle interventions can facilitate healthy gestational weight gain but attending in-person meetings can be challenging. High rates of use and the popularity of pregnancy content suggests Instagram as a possible platform for delivering gestational weight gain interventions. We assessed the logistics and acceptability of creating a private Instagram group and to obtain feedback on intervention posts. We conducted a 2-week study with pregnant women with pre-pregnancy overweight or obesity who use Instagram daily. Participants created a private Instagram account and followed other participants and a moderator who shared twice-daily posts about physical activity and healthy eating during pregnancy. Participants provided feedback through a follow-up survey and focus group/interviews. Engagement data was abstracted from Instagram. Participants (N = 11) were on average 26.3 (SD: 7.4) weeks gestation and 54% had obesity pre-pregnancy. All participants followed the moderator's account, 73% followed all other participants, participants engaged with 100% of study posts, 82% felt comfortable sharing in the group, and 73% would participate in a similar group if pregnant in the future. While participants felt the posts were visually attractive and included helpful information, they wanted more personalized content and felt reluctant to post photos they felt were not "Instagram worthy." Moderators should foster an environment in which participants feel comfortable posting unedited, authentic photos of their lives, perhaps by sharing personal photos that are relatable and represent their own imperfect lives. Results will inform further development and testing of an Instagram-delivered gestational weight gain intervention.

Indexed as

Gestational Weight GainFeedbackFemaleHumansLife StyleObesityOverweightPregnancyHealthy eatingInstagramIntervention developmentPhysical activityPregnancy

Identifiers

PMID35191497
PMCPMC9150071

What OpenQuestion holds

Textmetadata
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Registered trials

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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 OpenQuestion graph.