Evidence map›Paper›PMID 29884603›Full record

ArticleJMIR research protocols2018

Individually Tailored, Adaptive Intervention to Manage Gestational Weight Gain: Protocol for a Randomized Controlled Trial in Women With Overweight and Obesity.

Danielle Symons Downs, Jennifer S Savage, Daniel E Rivera, Joshua M Smyth, Barbara J Rolls, Emily E Hohman, Katherine M McNitt, Allen R Kunselman, Christy Stetter, Abigail M Pauley and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03945266 (Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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.

NCT03945266 nacompletednot on this map

Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention

TypeinterventionalSponsorPenn State UniversityRan2014 to 2018Enrolled31ConditionsOverweight and Obesity, Physical Activity, Weight Change, Body, Eating BehaviorArmsIntervention group, Control group
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  14. Feasibility and user acceptability of BreezingSmart health (Amsterdam, Netherlands) · 2023
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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

12 authors at 2 institutions in 1 country.

Danielle Symons DownsExercise Psychology Laboratory, Department of Kinesiology, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0003-1294-9742
Jennifer S SavageCenter for Childhood Obesity Research, Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0002-2912-8687
Daniel E RiveraControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, United States.ORCID http://orcid.org/0000-0002-3141-0577
Joshua M SmythDepartment of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0002-0904-5390
Barbara J RollsDepartment of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0003-2374-1517
Emily E HohmanCenter for Childhood Obesity Research, Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0001-7286-077X
Katherine M McNittCenter for Childhood Obesity Research, Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0002-2526-8818
Allen R KunselmanDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA, United States.ORCID http://orcid.org/0000-0001-8485-2953
Christy StetterDepartment of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA, United States.ORCID http://orcid.org/0000-0002-1619-0529
Abigail M PauleyExercise Psychology Laboratory, Department of Kinesiology, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0003-0644-0181
Krista S LeonardExercise Psychology Laboratory, Department of Kinesiology, College of Health and Human Development, The Pennsylvania State University, University Park, PA, United States.ORCID http://orcid.org/0000-0003-2225-7846
Penghong GuoControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, United States.ORCID http://orcid.org/0000-0003-1558-1453
Pennsylvania State University · USArizona State University · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Control Systems Engineering for Optimizing a Prenatal Weight Gain InterventionR01HL119245 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI DOWNS, DANIELLE SYMONS · 2013 to 2017
$1.8M
Using Dynamical Systems Modeling to Understand the Effects of an Individually Tailored Prenatal Weight Gain Intervention on Fetal Growth and Postnatal Obesity RiskR56HL126799 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI WILLIAMS, JENNIFER SAVAGE · 2015 to 2015
$505k
NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014NHLBI NIH HHS R01 HL119245NHLBI NIH HHS R56 HL126799
6 · The paper itself

Abstract

backgroundHigh gestational weight gain is a major public health concern as it independently predicts adverse maternal and infant outcomes. Past interventions have had only limited success in effectively managing pregnancy weight gain, especially among women with overweight and obesity. Well-designed interventions are needed that take an individualized approach and target unique barriers to promote healthy weight gain.

objectiveThe primary aim of the study is to describe the study protocol for Healthy Mom Zone, an individually tailored, adaptive intervention for managing weight in pregnant women with overweight and obesity.

methodsThe Healthy Mom Zone Intervention, based on theories of planned behavior and self-regulation and a model of energy balance, includes components (eg, education, self-monitoring, physical activity/healthy eating behaviors) that are adapted over the intervention (ie, increase in intensity) to better regulate weight gain. Decision rules inform when to adapt the intervention. In this randomized controlled trial, women are randomized to the intervention or standard care control group. The intervention is delivered from approximately 8-36 weeks gestation and includes step-ups in dosages (ie, Step-up 1 = education + physical activity + healthy eating active learning [cooking/recipes]; Step-up 2 = Step-up 1 + portion size, physical activity; Step-up 3 = Step-up 1 + 2 + grocery store feedback, physical activity); 5 maximum adaptations. Study measures are obtained at pre- and postintervention as well as daily (eg, weight), weekly (eg, energy intake/expenditure), and monthly (eg, psychological) over the study period. Analyses will include linear mixed-effects models, generalized estimating equations, and dynamical modeling to understand between-group and within-individual effects of the intervention on weight gain.

resultsRecruitment of 31 pregnant women with overweight and obesity has occurred from January 2016 through July 2017. Baseline data have been collected for all participants. To date, 24 participants have completed the intervention and postintervention follow-up assessments, 3 are currently in progress, 1 dropped out, and 3 women had early miscarriages and are no longer active in the study. Of the 24 participants, 13 women have completed the intervention to date, of which 1 (8%, 1/13) received only the baseline intervention, 3 (23%, 3/13) received baseline + step-up 1, 6 (46%, 6/13) received baseline + step-up 1 + step-up 2, and 3 (23%, 3/13) received baseline + step-up 1 + step-up 2 +step-up 3. Data analysis is still ongoing through spring 2018.

conclusionsThis is one of the first intervention studies to use an individually tailored, adaptive design to manage weight gain in pregnancy. Results from this study will be useful in designing a larger randomized trial to examine efficacy of this intervention and developing strategies for clinical application. REGISTERED REPORT IDENTIFIER: RR1-10.2196/9220.

Indexed as

adaptive interventionbody weight maintenanceexercisegestational weight gainintervention studymHealthnutrition scienceobesityoverweightpregnant womenrandomized controlled trial

Identifiers

PMID29884603
PMCPMC6015270
OpenAlexW2807558544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.