Evidence map›Paper›PMID 29960766›Full record

ArticleThe Journal of pediatrics2018

Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones.

Izzuddin M Aris, Sheryl L Rifas-Shiman, Ling-Jun Li, Ken Kleinman, Brent A Coull, Diane R Gold, Marie-France Hivert, Michael S Kramer, Emily Oken

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.6field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  6. Early adiposity rebound: predictors and outcomes.Italian journal of pediatrics · 2024
    Review
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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

9 authors at 5 institutions in 3 countries.

Izzuddin M ArisDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore. Electronic address: izzuddin_aris@harvardpilgrim.org.
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA.
Ling-Jun LiDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Division of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore, Singapore; Obstetrics and Gynecology, Academic Clinician Programme, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.
Ken KleinmanDepartment of Biostatistics, School of Public Health and Human Sciences, University of Massachusetts Amherst, Amherst, MA.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Diane R GoldChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Environmental Medicine, Harvard T.H. Chan School of Public Health, Boston, MA.
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Diabetes Unit, Massachusetts General Hospital, Boston, MA.
Michael S KramerDepartment of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Québec, Canada.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Harvard University · USAgency for Science, Technology and Research · SGBrigham and Women's Hospital · USNational University of Singapore · SGUniversity of Massachusetts Amherst · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
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
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUH3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2018 to 2022
$11.7M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUG3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI KLEINMAN, KENNETH P., OKEN, EMILY · 2016 to 2017
$4.1M
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD034568NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK092924NIEHS NIH HHS P30 ES000002NIH HHS UG3 OD023286NIH HHS UH3 OD023286
6 · The paper itself

Abstract

objectiveTo assess associations of pre-, perinatal, and parental factors with age and magnitude at body mass index (BMI) peak and rebound. STUDY

designAmong 1681 children with BMI data from birth to mid-childhood in Project Viva, we fitted individual BMI trajectories using mixed-effect models with natural cubic spline functions and estimated age and magnitude at peak in infancy and rebound in early childhood. We used stepwise multivariable regression to identify predictors of peak and rebound in the 1354 (63.6%) children with estimable trajectory milestones.

resultsThe mean (SD) of age at BMI peak was 8.4 (2.7) months and at rebound was 59.8 (19.6) months, and the mean (SD) of magnitude at peak was 18.0 (1.4) kg/m

conclusionsWe have identified modifiable prenatal and parental predictors of BMI peak in infancy and rebound in childhood. Early-life interventions that address these factors may be effective in changing BMI peak and rebound and potentially preventing later obesity.

Indexed as

Body Mass IndexChild DevelopmentPediatric ObesityAdultChild, PreschoolCohort StudiesEducational StatusFemaleGestational Weight GainGlucose IntoleranceHumansHyperglycemiaInfantLongitudinal StudiesMaleMassachusettsbody mass index peakbody mass index reboundlifecourse epidemiologypredictors

Identifiers

PMID29960766
PMCPMC6153023
OpenAlexW2810289419

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.