Evidence map›Paper›PMID 27417566›Full record

ArticleScientific reports2016

Weight Gain in Infancy and Overweight or Obesity in Childhood across the Gestational Spectrum: a Prospective Birth Cohort Study.

Guoying Wang, Sara Johnson, Yiwei Gong, Sarah Polk, Sara Divall, Sally Radovick, Margaret Moon, David Paige, Xiumei Hong, Deanna Caruso and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Prenatal oxidative stress and rapid infant weight gain.International journal of obesity (2005) · 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

19 authors.

Guoying WangDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Sara JohnsonDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Yiwei GongUniversity of Illinois at Urbana-Champaign, Champaign, USA.
Sarah PolkDivision of General Pediatrics &Adolescent Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA.
Sara DivallDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA.
Sally RadovickDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA.
Margaret MoonDivision of General Pediatrics &Adolescent Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA.
David PaigeDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Xiumei HongDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Deanna CarusoDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Zhu ChenDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Eric MallowDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Sheila O WalkerDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Guangyun MaoSchool of Environmental Science &Public Health, Wenzhou Medical University Center on Clinical &Epidemiological Eye Research, the Affiliated Eye Hospital of Wenzhou Medical University Wenzhou, China.
Colleen PearsonDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, USA.
Mei-Cheng WangDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Barry ZuckermanDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, USA.
Tina L ChengDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Xiaobin WangDepartment of Population, Family and Reproductive Health, Center on Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.

Funding

Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
Post Genome-Wide Association Study of Food AllergyU01AI090727 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2010 to 2014
$2.3M
Molecular Epidemiology of Preterm BirthR21ES011666 · NIEHS · CHILDREN'S MEMORIAL HOSPITAL (CHICAGO) · PI WANG, XIAOBIN · 2002 to 2004
$562k
Epigenome Association Study of Food AllergyR21AI088609 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2010 to 2011
$409k
Epigenome-wide Association Study of Preterm BirthR21HD066471 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2010 to 2011
$354k
NIAID NIH HHS R21 AI088609NIAID NIH HHS U01 AI090727NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD086013NICHD NIH HHS R21 HD066471NIEHS NIH HHS R21 ES011666
6 · The paper itself

Abstract

This study aimed to investigate the optimal degree of weight gain across the gestational spectrum in 1971 children enrolled at birth and followed up to age 7 years. Weight gain in infancy was categorized into four groups based on weight gain z-scores: slow (<-0.67), on track (-0.67 to 0.67), rapid (0.67 to 1.28), and extremely rapid (>1.28). Underweight and overweight or obesity (OWO) were defined as a body mass index ≤5(th) and ≥85(th) percentile, respectively, for age and gender. In our population, OWO was far more common than underweight (39.7% vs. 3.6%). Weight gain tracked strongly from age 4 to 24 months, and was positively associated with OWO and an unfavorable pattern of metabolic biomarkers, although the degree of weight gain for the risk was different across gestational categories. Extremely rapid weight gain led to a particularly high risk of OWO among children born early term and late preterm: odds ratio: 3.3 (95% confidence interval: 1.9 to 5.5) and 3.7 (1.8 to 7.5), respectively, as compared to those with on track weight gain. Our findings suggest that monitoring and ensuring optimal weight gain across the entire gestational spectrum beginning from birth represents a first step towards primary prevention of childhood obesity.

Indexed as

Birth WeightBody Mass IndexChildFemaleHumansInfantInfant, NewbornMaleOverweightPediatric ObesityPregnancyRisk FactorsThinnessWeight Gain

Identifiers

PMID27417566
PMCPMC4945912

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Registered trials

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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.