Evidence map›Paper›PMID 33954853›Full record

Trial reportJournal of behavioral medicine2021

Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity.

Danielle Symons Downs, Jennifer S Savage, Daniel E Rivera, Abigail M Pauley, Krista S Leonard, Emily E Hohman, Penghong Guo, Katherine M McNitt, Christy Stetter, Allen Kunselman

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of behavioral medicine, 2021. 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 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
5.8field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control.IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

10 authors at 2 institutions in 1 country.

Danielle Symons DownsExercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, 16802, USA. dsd11@psu.edu.
Jennifer S SavageDepartment of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, USA.
Daniel E RiveraSchool for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Abigail M PauleyExercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, 16802, USA.
Krista S LeonardExercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, 16802, USA.
Emily E HohmanDepartment of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, USA.
Penghong GuoSchool for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Katherine M McNittDepartment of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, USA.
Christy StetterDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Allen KunselmanDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
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
NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR000127 and TR002014NCATS NIH HHS UL1 TR002014NHLBI NIH HHS 1 R01 HL119245-01NHLBI NIH HHS R01 HL119245
6 · The paper itself

Abstract

Interventions have modest impact on reducing excessive gestational weight gain (GWG) in pregnant women with overweight/obesity. This two-arm feasibility randomized control trial tested delivery of and compliance with an intervention using adapted dosages to regulate GWG, and examined pre-post change in GWG and secondary outcomes (physical activity: PA, energy intake: EI, theories of planned behavior/self-regulation constructs) compared to a usual care group. Pregnant women with overweight/obesity (N = 31) were randomized to a usual care control group or usual care + intervention group from 8 to 2 weeks gestation and completed the intervention through 36 weeks gestation. Intervention women received weekly evidence-based education/counseling (e.g., GWG, PA, EI) delivered by a registered dietitian in a 60-min face-to-face session. GWG was monitored weekly; women within weight goals continued with education while women exceeding goals received more intensive dosages (e.g., additional hands-on EI/PA sessions). All participants used mHealth tools to complete daily measures of weight (Wi-Fi scale) and PA (activity monitor), weekly evaluation of diet quality (MyFitnessPal app), and weekly/monthly online surveys of motivational determinants/self-regulation. Daily EI was estimated with a validated back-calculation method as a function of maternal weight, PA, and resting metabolic rate. Sixty-five percent of eligible women were randomized; study completion was 87%; 10% partially completed the study and drop-out was 3%. Compliance with using the mHealth tools for intensive data collection ranged from 77 to 97%; intervention women attended > 90% education/counseling sessions, and 68-93% dosage step-up sessions. The intervention group (6.9 kg) had 21% lower GWG than controls (8.8 kg) although this difference was not significant. Exploratory analyses also showed the intervention group had significantly lower EI kcals at post-intervention than controls. A theoretical, adaptive intervention with varied dosages to regulate GWG is feasible to deliver to pregnant women with overweight/obesity.

Indexed as

Pregnancy ComplicationsPregnant PeopleEnergy IntakeExerciseFeasibility StudiesFemaleHumansObesityOverweightPregnancyWeight GainEnergy intakeGestational weight gain managementMHealthPhysical activityPlanned behaviorSelf-regulation

Identifiers

PMID33954853
PMCPMC9764232
OpenAlexW3157249336

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.