Evidence map›Paper›PMID 36701266›Full record

SynthesisPLoS medicine2023

Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.

Johan L Vinther, Tim Cadman, Demetris Avraam, Claus T Ekstrøm, Thorkild I A Sørensen, Ahmed Elhakeem, Ana C Santos, Angela Pinot de Moira, Barbara Heude, Carmen Iñiguez and 37 more

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Association of Gestational Age in a Full Range With Childhood Overweight and Obesity: A Systematic Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Expected and Desirable Preterm and Small Infant Growth Patterns.Advances in nutrition (Bethesda, Md.) · 2024
    Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

47 authors.

Johan L VintherSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-3769-4977
Tim CadmanPopulation Health Science, Bristol Medical School, Bristol, United Kingdom.ORCID 0000-0002-7682-5645
Demetris AvraamPopulation Health Sciences Institute, Newcastle University, Newcastle, United Kingdom.ORCID 0000-0001-8908-2441
Claus T EkstrømSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1191-373X
Thorkild I A SørensenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-4821-430X
Ahmed ElhakeemPopulation Health Science, Bristol Medical School, Bristol, United Kingdom.
Ana C SantosEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.ORCID 0000-0002-2992-5299
Angela Pinot de MoiraSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-3593-8472
Barbara HeudeUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France.ORCID 0000-0002-1565-1629
Carmen IñiguezDepartment of Statistics and Operational Research, Universitat de València, València, Spain.ORCID 0000-0002-5156-0732
Costanza PizziCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy.
Elinor SimonsSection of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada.ORCID 0000-0002-1620-2606
Ellis VoermanThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Eva CorpeleijnDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-2974-3305
Faryal ZariouhIned, Inserm, EFS, joint unit Elfe, Aubervilliers Cedex, France.
Gilian SantorelliBorn In Bradford, Bradford Institute for Health Research, Bradford, United Kingdom.
Hazel M InskipMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom.ORCID 0000-0001-8897-1749
Henrique BarrosEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Jennie CarsonTelethon Kids Institute, Perth, Australia.ORCID 0000-0001-5294-7536
Jennifer R HarrisCenter for Fertillity and Health, The Norwegian Institute of Public Health, Oslo, Norway.
Johanna L NaderDepartment of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-2045-1269
Justiina RonkainenCenter for Life-course Health research, University of Oulu, Oulu, Finland.ORCID 0000-0001-7375-8099
Katrine Strandberg-LarsenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-7061-3767
Loreto Santa-MarinaSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0003-1405-9751
Lucinda CalasUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France.ORCID 0000-0003-1144-4320
Luise CederkvistSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-7601-9723
Maja PopovicCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy.ORCID 0000-0003-4500-6572
Marie-Aline CharlesIned, Inserm, EFS, joint unit Elfe, Aubervilliers Cedex, France.ORCID 0000-0003-4025-4390
Marieke WeltenThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0003-4351-3757
Martine VrijheidSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0002-7090-1758
Meghan AzadSection of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada.ORCID 0000-0002-5942-4444
Padmaja SubbaraoTranslational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0003-0394-1933
Paul BurtonPopulation Health Sciences Institute, Newcastle University, Newcastle, United Kingdom.ORCID 0000-0001-5799-9634
Puishkumar J MandhaneDepartment of Pediatrics, University of Alberta, Edmonton, Canada.ORCID 0000-0003-3682-9120
Rae-Chi HuangTelethon Kids Institute, Perth, Australia.ORCID 0000-0002-8464-6639
Rebecca C WilsonInstitute of Population Health, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0003-2294-593X
Sido HaakmaUniversity of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands.ORCID 0000-0003-1278-9144
Sílvia Fernández-BarrésISGlobal, Barcelona, Spain.ORCID 0000-0002-9977-2291
Stuart TurveyDepartment of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, Canada.
Susana SantosThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0003-0613-3181
Suzanne C ToughDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0003-1599-1065
Sylvain SebertCenter for Life-course Health research, University of Oulu, Oulu, Finland.ORCID 0000-0001-6681-6983
Theo J MoraesTranslational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0001-9968-6601
Theodosia SalikaNIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.ORCID 0000-0001-6264-4512
Vincent W V JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0003-2939-0041
Deborah A LawlorPopulation Health Science, Bristol Medical School, Bristol, United Kingdom.ORCID 0000-0002-6793-2262
Anne-Marie Nybo AndersenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4296-8488

Funding

British Heart Foundation AA/18/7/34219British Heart Foundation CH/F/20/90003British Heart Foundation CS/16/4/32482Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_PC_21038Medical Research Council MC_UU_00011/6Medical Research Council MR/N024397/1Medical Research Council MR/S003959/1Medical Research Council MR/S003959/2
6 · The paper itself

Abstract

backgroundPreterm birth is the leading cause of perinatal morbidity and mortality and is associated with adverse developmental and long-term health outcomes, including several cardiometabolic risk factors and outcomes. However, evidence about the association of preterm birth with later body size derives mainly from studies using birth weight as a proxy of prematurity rather than an actual length of gestation. We investigated the association of gestational age (GA) at birth with body size from infancy through adolescence. METHODS AND

findingsWe conducted a two-stage individual participant data (IPD) meta-analysis using data from 253,810 mother-child dyads from 16 general population-based cohort studies in Europe (Denmark, Finland, France, Italy, Norway, Portugal, Spain, the Netherlands, United Kingdom), North America (Canada), and Australasia (Australia) to estimate the association of GA with body mass index (BMI) and overweight (including obesity) adjusted for the following maternal characteristics as potential confounders: education, height, prepregnancy BMI, ethnic background, parity, smoking during pregnancy, age at child's birth, gestational diabetes and hypertension, and preeclampsia. Pregnancy and birth cohort studies from the LifeCycle and the EUCAN-Connect projects were invited and were eligible for inclusion if they had information on GA and minimum one measurement of BMI between infancy and adolescence. Using a federated analytical tool (DataSHIELD), we fitted linear and logistic regression models in each cohort separately with a complete-case approach and combined the regression estimates and standard errors through random-effects study-level meta-analysis providing an overall effect estimate at early infancy (>0.0 to 0.5 years), late infancy (>0.5 to 2.0 years), early childhood (>2.0 to 5.0 years), mid-childhood (>5.0 to 9.0 years), late childhood (>9.0 to 14.0 years), and adolescence (>14.0 to 19.0 years). GA was positively associated with BMI in the first decade of life, with the greatest increase in mean BMI z-score during early infancy (0.02, 95% confidence interval (CI): 0.00; 0.05, p < 0.05) per week of increase in GA, while in adolescence, preterm individuals reached similar levels of BMI (0.00, 95% CI: -0.01; 0.01, p 0.9) as term counterparts. The association between GA and overweight revealed a similar pattern of association with an increase in odds ratio (OR) of overweight from late infancy through mid-childhood (OR 1.01 to 1.02) per week increase in GA. By adolescence, however, GA was slightly negatively associated with the risk of overweight (OR 0.98 [95% CI: 0.97; 1.00], p 0.1) per week of increase in GA. Although based on only four cohorts (n = 32,089) that reached the age of adolescence, data suggest that individuals born very preterm may be at increased odds of overweight (OR 1.46 [95% CI: 1.03; 2.08], p < 0.05) compared with term counterparts. Findings were consistent across cohorts and sensitivity analyses despite considerable heterogeneity in cohort characteristics. However, residual confounding may be a limitation in this study, while findings may be less generalisable to settings in low- and middle-income countries.

conclusionsThis study based on data from infancy through adolescence from 16 cohort studies found that GA may be important for body size in infancy, but the strength of association attenuates consistently with age. By adolescence, preterm individuals have on average a similar mean BMI to peers born at term.

Indexed as

OverweightPremature BirthAdolescentBirth WeightBody Mass IndexChildChild, PreschoolCohort StudiesFemaleGestational AgeHumansInfantInfant, NewbornPregnancyRisk Factors

Identifiers

PMID36701266
PMCPMC9879424

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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.