Evidence map›Paper›PMID 28069560›Full record

Trial reportJournal of medical Internet research2017

Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial.

Meredith Leigh Graham, Myla S Strawderman, Margaret Demment, Christine Marie Olson

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01331564 (Electronically-Mediated Weight Interventions for Pregnant and Postpartum Women), which is not on this map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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.

NCT01331564 phase3completednot on this map

Electronically-Mediated Weight Interventions for Pregnant and Postpartum Women

TypeinterventionalSponsorUniversity of RochesterRan2011 to 2014Enrolled1,641ConditionsGestational Weight Gain, Postpartum Weight RetentionArmselectronic intervention during pregnancy and postpartum, electronic intervention during pregnancy, Control
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Meredith Leigh GrahamDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0001-8989-1417
Myla S StrawdermanDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0002-6016-968X
Margaret DemmentDepartment of Obstetrics and Gynecology, University of Rochester, Rochester, NY, United States.ORCID 0000-0003-2377-4343
Christine Marie OlsonDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.ORCID 0000-0003-1276-6276

Funding

Electronically-Mediated Weight Interventions for Pregnant and Postpartum WomenU01HL096760 · NHLBI · CORNELL UNIVERSITY · PI FERNANDEZ, ISABEL DIANA, OLSON, CHRISTINE MARIE · 2009 to 2013
$4.5M
NHLBI NIH HHS U01 HL096760
6 · The paper itself

Abstract

backgroundExcessive gestational weight gain (GWG) contributes to the development of obesity in mother and child. Internet-based interventions have the potential for delivering innovative and interactive options for prevention of excessive GWG to large numbers of people.

objectiveThe objective of this study was to create a novel measure of Internet-based intervention usage patterns and examine whether usage of an Internet-based intervention is associated with reduced risk of excessive GWG.

methodsThe website featured blogs, local resources, articles, frequently asked questions (FAQs), and events that were available to women in both the intervention and control arm. Weekly reminders to use the website and to highlight new content were emailed to participants in both arms. Only intervention arm participants had access to the weight gain tracker and diet and physical activity goal-setting tools. A total of 1335 (898 intervention and 437 control) relatively diverse and healthy pregnant women were randomly assigned to the intervention arm or control arm. Usage patterns were examined for both intervention and control arm participants using latent class analysis. Regression analyses were used to estimate the association between usage patterns and three GWG outcomes: excessive total GWG, excessive GWG rate, and GWG.

resultsFive usage patterns best characterized the usage of the intervention by intervention arm participants. Three usage patterns best characterized control arm participants' usage. Control arm usage patterns were not associated with excessive GWG, whereas intervention arm usage patterns were associated with excessive GWG.

conclusionsThe control and intervention arm usage pattern characterization is a unique methodological contribution to process evaluations for self-directed Internet-based interventions. In the intervention arm some usage patterns were associated with GWG outcomes. CLINICALTRIAL: ClinicalTrials.gov; Clinical Trials Number: NCT01331564; https://clinicaltrials.gov/ct2/show/NCT01331564 (Archived by WebCite at http://www.webcitation/6nI9LuX9w).

Indexed as

InternetTelemedicineAdultExerciseFemaleGestational CarriersHumansObesityPregnancyPregnancy ComplicationsRiskWeight GainInternetobesitypregnancyweight gain

Identifiers

PMID28069560
PMCPMC5259588

What OpenQuestion holds

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Registered trials

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.