Evidence map›Paper›PMID 36921951›Full record

ArticleBMJ open2023

Growth patterns in childhood and adolescence and adult body composition: a pooled analysis of birth cohort studies from five low and middle-income countries (COHORTS collaboration).

Natalia E Poveda, Linda S Adair, Reynaldo Martorell, Shivani A Patel, Manuel Ramirez-Zea, Santosh K Bhargava, Sonny A Bechayda, Delia B Carba, Maria F Kroker-Lobos, Bernardo Lessa Horta and 9 more

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Integrating infectious diseases into life course epidemiology.International journal of epidemiology · 2025
    Article
  5. Article
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.

Natalia E PovedaHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-6070-362X
Linda S AdairCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-3670-8073
Reynaldo MartorellHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-8862-7243
Shivani A PatelHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-0082-5857
Manuel Ramirez-ZeaINCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.ORCID 0000-0001-5107-9175
Santosh K BhargavaDepartment of Pediatrics, Safdarjang Hospital and Vardhman Mahavir Medical College, New Delhi, India.
Sonny A BechaydaOffice of Population Studies Foundation, University of San Carlos - Talamban Campus, Cebu City, The Philippines.ORCID 0000-0003-0076-5276
Delia B CarbaOffice of Population Studies Foundation, University of San Carlos - Talamban Campus, Cebu City, The Philippines.
Maria F Kroker-LobosINCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.
Bernardo Lessa HortaPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.ORCID 0000-0001-9843-412X
Natália Peixoto LimaPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.
Mónica MazariegosINCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.ORCID 0000-0002-2250-3683
Ana Maria Baptista MenezesPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.ORCID 0000-0002-2996-9427
Shane A NorrisSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa.ORCID 0000-0001-7124-3788
Lukhanyo H NyatiSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa.
Linda M RichterDSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-3654-3192
Harshpal SachdevSenior Consultant Pediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, India.ORCID 0000-0002-4956-9391
Fernando C WehrmeisterPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.ORCID 0000-0001-7137-1747
Aryeh D SteinHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA aryeh.stein@emory.edu.ORCID 0000-0003-1138-6458

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Social determinants of cardiovascular disease risk over the life courseD43TW011971 · FIC · DREXEL UNIVERSITY · PI Ana Victoria Diez Roux, Brisa N Sanchez · 2021 to 2026
$1.6M
British Heart Foundation UKPG/05/046FIC NIH HHS D43 TW011971NICHD NIH HHS P2C HD050924Wellcome TrustWellcome Trust 077210/Z/05/ZWellcome Trust 086974/Z/08/ZWellcome Trust 092097/Z/10/Z
6 · The paper itself

Abstract

objectiveWe examined associations among serial measures of linear growth and relative weight with adult body composition.

designSecondary data analysis of prospective birth cohort studies. SETTINGS: Six birth cohorts from Brazil, Guatemala, India, the Philippines and South Africa.

participants4173 individuals followed from birth to ages 22-46 years with complete and valid weight and height at birth, infancy, childhood and adolescence, and body composition in adult life. EXPOSURES: Birth weight and conditional size (standardised residuals of height representing linear growth and of relative weight representing weight increments independent of linear size) in infancy, childhood and adolescence. PRIMARY OUTCOME MEASURES: Body mass index, fat mass index (FMI), fat-free mass index (FFMI), fat mass/fat-free mass ratio (FM/FFM), and waist circumference in young and mid-adulthood.

resultsIn pooled analyses, a higher birth weight and relative weight gains in infancy, childhood and adolescence were positively associated with all adult outcomes. Relative weight gains in childhood and adolescence were the strongest predictors of adult body composition (β (95% CI) among men: FMI (childhood: 0.41 (0.26 to 0.55); adolescence: 0.39 (0.27 to 0.50)), FFMI (childhood: 0.50 (0.34 to 0.66); adolescence: 0.43 (0.32 to 0.55)), FM/FFM (childhood: 0.31 (0.16 to 0.47); adolescence: 0.31 (0.19 to 0.43))). Among women, similar patterns were observed, but, effect sizes in adolescence were slightly stronger than in childhood. Conditional height in infancy was positively associated with FMI (men: 0.08 (0.03 to 0.14); women: 0.11 (0.07 to 0.16)). Conditional height in childhood was positively but weakly associated with women's adiposity. Site-specific and sex-stratified analyses showed consistency in the direction of estimates, although there were differences in their magnitude.

conclusionsPrenatal and postnatal relative weight gains were positive predictors of larger body size and increased adiposity in adulthood. A faster linear growth in infancy was a significant but weak predictor of higher adult adiposity.

Indexed as

Birth CohortDeveloping CountriesAdolescentAdultBirth WeightBody CompositionBody Mass IndexCohort StudiesFemaleHumansInfant, NewbornMaleMiddle AgedObesityPregnancyProspective StudiesEPIDEMIOLOGYNUTRITION & DIETETICSPUBLIC HEALTH

Identifiers

PMID36921951
PMCPMC10030655

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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.