Evidence map›Paper›PMID 24832413›Full record

ArticleAmerican journal of public health2014

A novel system dynamics model of female obesity and fertility.

Nasim S Sabounchi, Peter S Hovmand, Nathaniel D Osgood, Roland F Dyck, Emily S Jungheim

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 5% 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.

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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. A System Dynamics Simulation Applied to Healthcare: A Systematic Review.International journal of environmental research and public health · 2020
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  18. Semi-physical Identification and State Estimation of Energy Intake for Interventions to Manage Gestational Weight Gain.Proceedings of the ... American Control Conference. American Control Conference · 2016
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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

5 authors at 1 institution in 1 country.

Nasim S SabounchiNasim S. Sabounchi and Peter S. Hovmand are with the Social System Design Lab, George Warren Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Nathaniel D. Osgood is with the Department of Computer Science, University of Saskatchewan, Saskatoon. Roland F. Dyck is with the Department of Medicine, College of Medicine, University of Saskatchewan. Emily S. Jungheim is with the Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Peter S Hovmand
Nathaniel D Osgood
Roland F Dyck
Emily S Jungheim
University of Saskatchewan · CA

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
Women's Reproductive Health Research Career Development Program at W.U., St LouisK12HD063086 · NICHD · WASHINGTON UNIVERSITY · PI MACONES, GEORGE A · 2009 to 2013
$2.6M
NCI NIH HHS U54 CA155496NICHD NIH HHS K12 HD063086NIDDK NIH HHS P30 DK092950NLM NIH HHS HHSN276201200027C
6 · The paper itself

Abstract

objectivesOur objective was to create a system dynamics model specific to weight gain and obesity in women of reproductive age that could inform future health policies and have the potential for use in preconception interventions targeting obese women.

methodsWe used our system dynamics model of obesity in women to test various strategies for family building, including ovulation induction versus weight loss to improve ovulation. Outcomes included relative fecundability, postpartum body mass index, and mortality.

resultsOur system dynamics model demonstrated that obese women who become pregnant exhibit increasing obesity levels over time with elevated morbidity and mortality. Alternatively, obese women who lose weight prior to pregnancy have improved reproductive outcomes but may risk an age-related decline in fertility, which can affect overall family size.

conclusionsOur model highlights important public health issues regarding obesity in women of reproductive age. The model may be useful in preconception counseling of obese women who are attempting to balance the competing risks associated with age-related declines in fertility and clinically meaningful weight loss.

Indexed as

Models, TheoreticalAdultBody Mass IndexDietExerciseFemaleFertilityFertility Agents, FemaleHumansObesityPregnancyPregnancy OutcomeRisk FactorsWeight GainWeight LossWomen's HealthFertility Agents, Female

Identifiers

PMID24832413
PMCPMC4056216
OpenAlexW2165013108

What OpenQuestion holds

Textmetadata
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.