Evidence map›Paper›PMID 28573669›Full record

Trial reportObesity (Silver Spring, Md.)2017

Association between consistent weight gain tracking and gestational weight gain: Secondary analysis of a randomized trial.

Christine M Olson, Myla S Strawderman, Meredith L Graham

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03834194 (Effect of Incentives for Self-weighing, Weight Management Goals and Physical Activity Goals on Gaining Weight Healthily During Pregnancy), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT03834194 nacompletednot on this mapstarted 2019, after this paper: background citation

Effect of Incentives for Self-weighing, Weight Management Goals and Physical Activity Goals on Gaining Weight Healthily During Pregnancy

TypeinterventionalSponsorUniversity of TennesseeRan2019 to 2020Enrolled40ConditionsGestational Weight GainArmsLottery + Monthly Weight, Lottery + Overall Weight + Exercise, Lottery + Overall Weight, Loss + Overall Weight, Loss + Overall Weight + Exercise
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Do Women Know Their Prepregnancy Weight?Obesity (Silver Spring, Md.) · 2019
    Article
  10. Observational
  11. Article
  12. Article
  13. 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

3 authors.

Christine M OlsonDivision of Nutritional Sciences, Cornell University, Ithaca, New York, USA.
Myla S StrawdermanDivision of Nutritional Sciences, Cornell University, Ithaca, New York, USA.
Meredith L GrahamDivision of Nutritional Sciences, Cornell University, Ithaca, New York, USA.

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

objectiveThe effective components of interventions for reducing excessive gestational weight gain (GWG) remain to be identified. This study investigated the sociodemographic, physical, psychosocial, and environmental correlates of online GWG tracking and its independent association with GWG outcomes.

methodsEight hundred ninety-eight women in the intervention arms of a randomized trial assessing the effectiveness of an integrated online and mobile phone behavioral intervention to decrease the prevalence of excessive GWG were included in this secondary analysis. Data were analyzed using χ

resultsOnly 16.5% of low-income (Medicaid-eligible) women consistently tracked GWG, as did 34.2% of not-low-income women. More highly educated, older, and white women were more likely to be consistent GWG trackers. Among not-low-income women, consistent GWG tracking was associated with 2.35 kg less GWG (95% CI: -3.23 to -1.46 kg; P < 0.0001) and a reduced risk of excessive GWG (RR 0.73; 95% CI: 0.59 to 0.89; P = 0.002).

conclusionsElectronic tracking of GWG is an effective component of electronic and mobile health interventions aiming to decrease the prevalence of excessive GWG in not-low-income women. Income group-specific motivators are needed to increase the prevalence of GWG tracking.

Indexed as

Health BehaviorPregnancyWeight GainAdolescentAdultBody Mass IndexCross-Sectional StudiesElectronic MailFemaleHumansMedicaidObesityPrevalenceRisk FactorsSmartphoneSocioeconomic Factors

Identifiers

PMID28573669
PMCPMC5504884

What OpenQuestion holds

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LicenceTDM
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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.