Evidence map›Paper›PMID 42358242›Full record

ArticleExposome2025

Determinants of body mass index during early life: findings from an exposome-wide association study with follow-up replication and Mendelian randomization analyses.

Jie V Zhao, Ana Goncalves Soares, Demetris Avraam, Tim Cadman, Marie Aline Charles, Barbara Heude, Vincent Jaddoe, Yannis Manios, George Moschonis, Anne-Marie Nybo Andersen and 9 more

Abstract read
In one paragraph

Article in Exposome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie V ZhaoSchool of Public Health, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-1564-0057
Ana Goncalves SoaresMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Demetris AvraamSection of Epidemiology, Department of Public Health, University of Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-8908-2441
Tim CadmanISGlobal, Barcelona, Spain.ORCID https://orcid.org/0000-0002-7682-5645
Marie Aline CharlesJoint Unit Elfe, Ined, Inserm, EFS, Aubervilliers, France.
Barbara HeudeUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France.
Vincent JaddoeDepartment of Pediatrics, Erasmus Medical Center, University Medical Center, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA Rotterdam, The Netherland.
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece.
George MoschonisDepartment of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
Anne-Marie Nybo AndersenSection of Epidemiology, Department of Public Health, University of Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-4296-8488
Lorenzo RichiardiCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Reference Centre for Epidemiology and Cancer Prevention Piemonte, Turin, Italy.
Justiina RonkainenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Sylvain SebertResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Morris SwertzGenetics Department (GCC-Genomic Coordination Centre), University Medical Centre Groningen, Groningen, The Netherlands.
Evangelia TzoroviliDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece.
Martine VrijheidISGlobal, Barcelona, Spain.
Wen Lun YuanUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France.
Deborah A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Ahmed ElhakeemMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0001-7637-6360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies of factors influencing body mass index (BMI) mostly focus on hypothesized/established factors. We aimed to explore potential factors influencing BMI across childhood and adolescence using a hypothesis-free exposome-wide association study (ExWAS), with external replication and Mendelian randomization (MR). Methods: The ExWAS was done in the Avon Longitudinal Study of Parents and Children (ALSPAC) using univariable regressions to estimate prospective associations of 2,523 exposures with BMI in infancy (up to 12 months, Results: The ExWAS identified 8, 16, 66 and 82 exposures prospectively associated with BMI in infancy, early-childhood, middle-childhood, and adolescence, respectively. Of these, 8, 11, 42, and 26 remained associated following confounder adjustment. Replicated associations included maternal BMI, smoking and fat intake; only maternal smoking was supported by MR. Associations of more TV viewing time with higher BMI at one or more ages was supported by MR showing more time spent watching TV in early-childhood leads to higher BMI in middle-childhood. It was not possible to explore replication or MR for confounder-adjusted associations of offspring emotion, sociability, and peer problems with subsequent BMI. Conclusions: Our ExWAS suggests more TV viewing time in early-childhood increases BMI in mid-childhood. Novel potential effects of social, emotional and peer exposures in childhood need replication and assessment of causality.

Indexed as

ALSPACbody mass indexearly lifeexposome-wide association studyMendelian randomizationreplication

Identifiers

PMID42358242
PMCPMC7619207

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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.