Evidence map›Paper›PMID 41444398›Full record

ArticleInternational journal of obesity (2005)2026

Genetic and environmental effects on weight gain from young adulthood to old age and its association with body mass index in early young adulthood: an individual-based pooled analysis of 16 twin cohorts.

Alvaro Obeso, Gabin Drouard, Aline Jelenkovic, Juan R Ordoñana, Juan F Sánchez-Romera, Lucía Colodro-Conde, Miina Ollikainen, Sari Aaltonen, Robin P Corley, Brooke M Huibregtse and 37 more

Abstract readTwin Study
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In one paragraph

Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

47 authors.

Alvaro ObesoHelsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland. alvaro.obeso@helsinki.fi.ORCID 0009-0009-1739-0408
Gabin DrouardInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3227-8483
Aline JelenkovicDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Juan R OrdoñanaDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.ORCID 0000-0001-7779-6017
Juan F Sánchez-RomeraDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.ORCID 0000-0002-5405-6216
Lucía Colodro-CondeDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.ORCID 0000-0002-9004-364X
Miina OllikainenInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3661-7400
Sari AaltonenInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2873-4263
Robin P CorleyInstitute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.
Brooke M HuibregtseUniversity of Colorado, Department of Psychology and Neuroscience, Boulder, CO, USA.ORCID 0000-0003-0977-7249
Emanuela MeddaCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Corrado FagnaniCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Virgilia ToccaceliCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Margaret GatzCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-1071-9970
David A ButlerHealth and Medicine Division, The National Academies of Sciences, Engineering and Medicine, Washington, DC, USA.
Meike BartelsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-9667-7555
Lannie LigthartDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Eco Jc de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-6022-2666
Kaare ChristensenInstitute of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
Axel SkyttheInstitute of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark.
Kirsten O KyvikResearch Unit of Clinical Genetics, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark.
Sarah E MedlandQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Scott D GordonQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Finn E RasmussenDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7915-7809
Per TyneliusDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Carol E FranzDepartment of Psychiatry, University of California, San Diego, CA, USA.ORCID 0000-0002-8987-1755
William S KremenDepartment of Psychiatry, University of California, San Diego, CA, USA.ORCID 0000-0002-8629-5609
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Timothy SpectorDepartment of Twin Research and Genetic epidemiology, King's College, London, UK.
Massimo ManginoDepartment of Twin Research and Genetic epidemiology, King's College, London, UK.ORCID 0000-0002-2167-7470
Genevieve LachanceDepartment of Twin Research and Genetic epidemiology, King's College, London, UK.
Patrik Ke MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7315-7899
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Anna K Dahl AslanSchool of Health Sciences, University of Skövde, Skövde, Sweden.
Glen E DuncanWashington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA.ORCID 0000-0001-6909-1869
Dedra BuchwaldWashington State Twin Registry, University of Washington, Seattle, WA, USA.
Hyojin PyunDepartment of Epidemiology, Seoul National University School of Public Health, Seoul, Korea.
Jooyeon LeeInstitute of Health & Environmental, Seoul National University, Seoul, Korea.
Soo Ji LeeInstitute of Health & Environmental, Seoul National University, Seoul, Korea.ORCID 0000-0002-6609-6039
Joohon SungDepartment of Epidemiology, Seoul National University School of Public Health, Seoul, Korea.
Susanne BruinsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-6808-7075
René PoolDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Anders ErikssoncGEM, Institute of Genomics, University of Tartu, Tartu, Estonia.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Dorret I BoomsmaAmsterdam Public Health Research Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7099-7972
Jaakko KaprioInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455
Karri SilventoinenHelsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-1759-3079

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
Twin StudyP60DA011015 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HEWITT, JOHN K. · 1997 to 2013
$22.5M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
Building a Unique National Community Based Twin RepositoryRC2HL103416 · NHLBI · UNIVERSITY OF WASHINGTON · PI BUCHWALD, DEDRA S · 2009 to 2010
$7.7M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
The Greatest Generation: The NAS-NRC WWII Twin Registry as a Scientific ResourceR21AG039572 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET · 2011 to 2012
$388k
NHLBI NIH HHS RC2 HL103416NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838NIA NIH HHS R21 AG039572NIDA NIH HHS P60 DA011015NIH HHS HD10333NIH HHS P01 AG08761
6 · The paper itself

Abstract

introductionGenetic and environmental factors contribute to weight gain, but how these effects change over adulthood is largely unknown. We examined how genetic factors influence BMI changes from young adulthood to old age and how this change relates to BMI in early adulthood. DATA AND

methodsData from 16 longitudinal twin cohorts, including 111,370 adults (56% women) and 55,657 complete twin pairs (42% monozygotic), were pooled. The data were divided into three stages (young adulthood-early middle age, late middle age, and old age). BMI changes were calculated via linear mixed effects and delta slope methods. Genetic and environmental contributions to these changes and their correlations with BMI in early young adulthood were estimated through structural equation modeling.

resultsThe average BMI increase per year was 0.18 kg/m² in men and 0.15 kg/m² in women during young adulthood-early middle age (18-50 years), decreasing to ≤0.07 kg/m² at older ages. Genetic effects contributed to variance of BMI changes during young adulthood-early middle age (men a² = 0.29; women a² = 0.26) and less so in late middle age (51-64 years) (men a² = 0.05; women a² = 0.16) and old age ( > 65 years) (men a² = 0.13; women a² = 0.18). Most variation was explained by non-shared environmental effects (e² = 0.71-0.95 in men and e²= 0.74-0.84 in women). In men, greater BMI during early young adulthood (18-30 years) was associated with lower BMI changes later in life (r = -0.22 to -0.13), and the association was driven by genetic (r

conclusionGenotype influences BMI changes across adulthood, with its effect varying by age and sex. Environmental effects are the main drivers of adult BMI changes, highlighting the role of modifiable factors in long-term weight regulation.

Indexed as

AgingBody Mass IndexGene-Environment InteractionObesityWeight GainAdolescentAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedTwins, MonozygoticYoung Adult

Identifiers

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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.