Evidence map›Paper›PMID 31149770›Full record

ArticleObesity (Silver Spring, Md.)2019

Do Women Know Their Prepregnancy Weight?

Diana M Thomas, Emily Oken, Sheryl L Rifas-Shiman, Martha Téllez-Rojo, Allan Just, Katherine Svensson, Andrea L Deierlein, Paula C Chandler-Laney, Richard C Miller, Christopher McNamara and 4 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Morning Blood Pressure and Adverse Pregnancy Outcomes in High-Risk Pregnancies.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Associations between early-life exposure to PMEnvironmental epidemiology (Philadelphia, Pa.) · 2023
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

14 authors.

Diana M ThomasDepartment of Mathematical Sciences, United States Military Academy, West Point, New York, USA.ORCID 0000-0003-2641-9304
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Martha Téllez-RojoProgram Evaluation and Biostatistics, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.
Allan JustEnvironmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Katherine SvenssonEnvironmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Andrea L DeierleinSchool of Public Health, New York University, New York, New York, USA.
Paula C Chandler-LaneyDepartment of Nutrition, University of Alabama, Birmingham, Alabama, USA.
Richard C MillerDepartment of Obstetrics and Gynecology, Saint Barnabas Medical Center, Livingston, New Jersey, USA.
Christopher McNamaraMedical Student Research Institute, Saint George's University, Grenada.
Suzanne PhelanDepartment of Kinesiology, California Polytechnic State University, San Luis Obispo, California, USA.ORCID 0000-0003-2260-0499
Shaw YoshitaniDepartment of Mathematical Sciences, United States Military Academy, West Point, New York, USA.
Nancy F ButteUSDA/Agricultural Research Service, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-8892-5195
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.ORCID 0000-0002-7267-7374

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Prevention of Postpartum Weight RetentionR01DK071667 · NIDDK · MIRIAM HOSPITAL · PI WING, RENA R · 2006 to 2009
$1.5M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
Effects of BPA and Phthalates on Adiposity and Metabolic Risk Factors in WomenR00ES023474 · NIEHS · NEW YORK UNIVERSITY · PI DEIERLEIN, ANDREA L · 2015 to 2017
$733k
NICHD NIH HHS R01 HD034568NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK071667NIDDK NIH HHS R25 DK099080NIEHS NIH HHS R00 ES023474NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectivePrepregnancy weight may not always be known to women. A model was developed to estimate prepregnancy weight from measured pregnancy weight.

methodsThe model was developed and validated using participants from two studies (Project Viva, n = 301, model development; and Fit for Delivery [FFD], n = 401, model validation). Data from the third study (Programming Research in Obesity, Growth, Environment and Social Stressors [PROGRESS]), which included women from Mexico City, were used to demonstrate the utility of the newly developed model to objectively quantify prepregnancy weight.

resultsThe model developed from the Project Viva study validated well with low bias (R

conclusionsThe developed model provides an alternative to determine prepregnancy weight in populations receiving routine health care that may not have accurate knowledge of prepregnancy weight. The software can identify misreporting and classification into incorrect gestational weight gain categories.

Indexed as

AdultFemaleGestational Weight GainHumansPregnancyPregnancy Complications

Identifiers

PMID31149770
PMCPMC6834084

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.