Evidence map›Paper›PMID 31063572›Full record

SynthesisJAMA2019

Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes.

LifeCycle Project-Maternal Obesity and Childhood Outcomes Study Group, Ellis Voerman, Susana Santos, Hazel Inskip, Pilar Amiano, Henrique Barros, Marie-Aline Charles, Leda Chatzi, George P Chrousos, Eva Corpeleijn and 57 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in JAMA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 352 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
352citing papers in PubMed, 4 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

352 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Gestational weight gain according to treatment in gestational diabetes: a systematic review and meta-analysis.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
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  12. Maternal mid-upper arm circumference to predict small for gestational age: Findings in a Zambian cohort.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
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292 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

67 authors.

LifeCycle Project-Maternal Obesity and Childhood Outcomes Study Group
Ellis VoermanGeneration R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Susana SantosGeneration R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Hazel InskipMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, England.
Pilar AmianoPublic Health Division of Gipuzkoa, San Sebastián, Spain.
Henrique BarrosEPI Unit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Marie-Aline CharlesINSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, ORCHAD Team, Villejuif, France.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
George P ChrousosFirst Department of Pediatrics, National and Kapodistrian University of Athens, Medical School, Aghia Sophia Children's Hospital, Athens, Greece.
Eva CorpeleijnUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
Sarah CrozierMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, England.
Myriam DoyonCentre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Quebec, Canada.
Merete EggesbøDepartment of Exposure and Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway.
Maria Pia FantiniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Sara FarchiDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Francesco ForastiereDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Vagelis GeorgiuDepartment of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
Davide GoriDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Wojciech HankeDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland.
Irva Hertz-PicciottoDepartment of Public Health Sciences, School of Medicine, University of California, Davis.
Barbara HeudeINSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, ORCHAD Team, Villejuif, France.
Marie-France HivertCentre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Quebec, Canada.
Daniel HryhorczukCenter for Global Health, College of Medicine, University of Illinois, Chicago.
Carmen IñiguezCIBER Epidemiología y Salud Pública, Madrid, Spain.
Anne M KarvonenDepartment of Health Security, National Institute for Health and Welfare, Kuopio, Finland.
Leanne K KüpersUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
Hanna LagströmDepartment of Public Health, University of Turku, Turku, Finland.
Debbie A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol, England.
Irina LehmannDepartment of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.
Per MagnusDivision of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.
Renata MajewskaDepartment of Epidemiology, Jagiellonian University Medical College, Krakow, Poland.
Johanna MäkeläTurku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland.
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
Monique MommersDepartment of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.
Camilla S MorgenNational Institute of Public Health, University of Southern Denmark, Copenhagen.
George MoschonisDepartment of Dietetics, Nutrition, and Sport, La Trobe University, Melbourne, Australia.
Ellen A NohrResearch Unit for Gynaecology and Obstetrics, Institute for Clinical Research, University of Southern Denmark, Odense.
Anne-Marie Nybo AndersenDepartment of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.
Emily OkenDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Agnieszka PacDepartment of Epidemiology, Jagiellonian University Medical College, Krakow, Poland.
Eleni PapadopoulouDepartment of Environmental Exposures and Epidemiology, Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
Juha PekkanenDepartment of Health Security, National Institute for Health and Welfare, Kuopio, Finland.
Costanza PizziDepartment of Medical Sciences, University of Turin, Turin, Italy.
Kinga PolanskaDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland.
Daniela PortaDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Lorenzo RichiardiDepartment of Medical Sciences, University of Turin, Turin, Italy.
Sheryl L Rifas-ShimanDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Nel RoeleveldDepartment for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
Luca RonfaniInstitute for Maternal and Child Health-IRCCS Burlo Garofolo, Trieste, Italy.
Ana C SantosEPI Unit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Marie StandlInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Hein StigumDepartment of Noncommunicable Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Camilla StoltenbergNorwegian Institute of Public Health, Oslo, Norway.
Elisabeth ThieringInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Carel ThijsDepartment of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.
Maties TorrentIb-Salut, Area de Salut de Menorca, Palma, Spain.
Tomas TrnovecDepartment of Environmental Medicine, Slovak Medical University, Bratislava, Slovakia.
Marleen M H J van GelderDepartment for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
Lenie van RossemJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Andrea von BergResearch Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany.
Martine VrijheidCIBER Epidemiología y Salud Pública, Madrid, Spain.
Alet WijgaNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Oleksandr ZvinchukDepartment of Medical and Social Problems of Family Health, Institute of Pediatrics, Obstetrics and Gynecology, Kyiv, Ukraine.
Thorkild I A SørensenDepartment of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.
Keith GodfreyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, England.
Vincent W V JaddoeGeneration R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Romy GaillardGeneration R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Jonathan London · 2015 to 2026
$26.0M
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 methodsUG3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI KLEINMAN, KENNETH P., OKEN, EMILY · 2016 to 2017
$4.1M
Early Childhood Development and PCB Exposures in Slovak*R01CA096525 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI HERTZ-PICCIOTTO, IRVA · 2001 to 2005
$2.3M
Metabolomic and Epigenomic Mechanisms in Developmental Overnutrition.R01DK103246 · NIDDK · UNIVERSITY OF BRISTOL · PI LAWLOR, DEBORAH ANNE · 2014 to 2018
$2.2M
Women's Health and the Environment over the Entire Lifespan (WHEEL)K12ES019852 · NIEHS · UNIVERSITY OF ROCHESTER · PI CORY-SLECHTA, DEBORAH A · 2010 to 2014
$1.8M
PCBs and Otodevelopment in Eastern SlovakiaR03TW007152 · FIC · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA · 2006 to 2008
$100k
British Heart Foundation RG/15/17/31749FIC NIH HHS R03 TW007152Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12011/4Medical Research Council MC_UU_12013/5NCI NIH HHS R01 CA096525NICHD NIH HHS R01 HD034568NIDDK NIH HHS R01 DK103246NIEHS NIH HHS K12 ES019852NIEHS NIH HHS P30 ES023513NIH HHS UG3 OD023286NINDS NIH HHS U01 NS047537Wellcome Trust
6 · The paper itself

Abstract

Importance: Both low and high gestational weight gain have been associated with adverse maternal and infant outcomes, but optimal gestational weight gain remains uncertain and not well defined for all prepregnancy weight ranges. Objectives: To examine the association of ranges of gestational weight gain with risk of adverse maternal and infant outcomes and estimate optimal gestational weight gain ranges across prepregnancy body mass index categories. Design, Setting, and Participants: Individual participant-level meta-analysis using data from 196 670 participants within 25 cohort studies from Europe and North America (main study sample). Optimal gestational weight gain ranges were estimated for each prepregnancy body mass index (BMI) category by selecting the range of gestational weight gain that was associated with lower risk for any adverse outcome. Individual participant-level data from 3505 participants within 4 separate hospital-based cohorts were used as a validation sample. Data were collected between 1989 and 2015. The final date of follow-up was December 2015. Exposures: Gestational weight gain. Main Outcomes and Measures: The main outcome termed any adverse outcome was defined as the presence of 1 or more of the following outcomes: preeclampsia, gestational hypertension, gestational diabetes, cesarean delivery, preterm birth, and small or large size for gestational age at birth. Results: Of the 196 670 women (median age, 30.0 years [quartile 1 and 3, 27.0 and 33.0 years] and 40 937 were white) included in the main sample, 7809 (4.0%) were categorized at baseline as underweight (BMI <18.5); 133 788 (68.0%), normal weight (BMI, 18.5-24.9); 38 828 (19.7%), overweight (BMI, 25.0-29.9); 11 992 (6.1%), obesity grade 1 (BMI, 30.0-34.9); 3284 (1.7%), obesity grade 2 (BMI, 35.0-39.9); and 969 (0.5%), obesity grade 3 (BMI, ≥40.0). Overall, any adverse outcome occurred in 37.2% (n = 73 161) of women, ranging from 34.7% (2706 of 7809) among women categorized as underweight to 61.1% (592 of 969) among women categorized as obesity grade 3. Optimal gestational weight gain ranges were 14.0 kg to less than 16.0 kg for women categorized as underweight; 10.0 kg to less than 18.0 kg for normal weight; 2.0 kg to less than 16.0 kg for overweight; 2.0 kg to less than 6.0 kg for obesity grade 1; weight loss or gain of 0 kg to less than 4.0 kg for obesity grade 2; and weight gain of 0 kg to less than 6.0 kg for obesity grade 3. These gestational weight gain ranges were associated with low to moderate discrimination between those with and those without adverse outcomes (range for area under the receiver operating characteristic curve, 0.55-0.76). Results for discriminative performance in the validation sample were similar to the corresponding results in the main study sample (range for area under the receiver operating characteristic curve, 0.51-0.79). Conclusions and Relevance: In this meta-analysis of pooled individual participant data from 25 cohort studies, the risk for adverse maternal and infant outcomes varied by gestational weight gain and across the range of prepregnancy weights. The estimates of optimal gestational weight gain may inform prenatal counseling; however, the optimal gestational weight gain ranges had limited predictive value for the outcomes assessed.

Indexed as

Body Mass IndexGestational Weight GainPregnancy ComplicationsPregnancy OutcomeAdultBirth WeightCesarean SectionDiabetes, GestationalFemaleHumansHypertension, Pregnancy-InducedInfant, NewbornObesityPregnancyPremature Birth

Identifiers

PMID31063572
PMCPMC6506886

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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.