Evidence map›Paper›PMID 39828653›Full record

ArticleObesity (Silver Spring, Md.)2025

Interplay between genetic risk and built neighborhood conditions as predictor of BMI across the transition into adulthood.

Marthe de Roo, Catharina A Hartman, Alfred Wagtendonk, Hans W Hoek, Jeroen Lakerveld, Tina Kretschmer

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Marthe de RooFaculty of Behavioral and Social Sciences, Department of Pedagogy and Educational Sciences, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0003-2769-5896
Catharina A HartmanInterdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Alfred WagtendonkDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Hans W HoekParnassia Psychiatric Institute, The Hague, the Netherlands.
Jeroen LakerveldDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Tina KretschmerFaculty of Behavioral and Social Sciences, Department of Pedagogy and Educational Sciences, University of Groningen, Groningen, the Netherlands.

Funding

AccareBiobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL) CP 32Dutch Ministry of Justice (WODC)European Research Council 101087395European Research Council ERC-2017-STG-757364European Research Council ERC-CoG-2015-681466European Science Foundation EuroSTRESS project FP-006Gratama StichtingJan Dekker StichtingNetherlands Organisation for Health Research and Development (ZonMw) 100-001-004Netherlands Organisation for Health Research and Development (ZonMw) 261-98-710Netherlands Organisation for Health Research and Development (ZonMw) 636340002Netherlands Organisation for Health Research and Development (ZonMw) 91118017Netherlands Organization for Scientific Research 016.130.002Netherlands Organization for Scientific Research 024.001.003Netherlands Organization for Scientific Research 175.010.2003.005Netherlands Organization for Scientific Research 453-16-007/2735Netherlands Organization for Scientific Research 481-08-013Netherlands Organization for Scientific Research 481-11-001Netherlands Organization for Scientific Research GB-MaGW 452-04-314Netherlands Organization for Scientific Research GB-MaGW 452-06-004Netherlands Organization for Scientific Research GB-MaGW 480-01-006Netherlands Organization for Scientific Research GB-MaGW 480-07-001Netherlands Organization for Scientific Research GB-MW 940-38-011Netherlands Organization for Scientific Research Vi.C.191.021
6 · The paper itself

Abstract

objectiveWe examined BMI development across changes in the built environment during the transition from adolescence to young adulthood and explored the moderating role of genetic risk.

methodsWe used longitudinal data from individuals aged 16 to 25 years in the TRacking Adolescents' Individual Lives Survey (TRAILS) that we linked to built environment data for 2006, 2010, and 2016 from the Geoscience and Health Cohort Consortium (GECCO). We fitted a latent growth model of BMI and examined associations of changes in fast-food restaurant density and walkability with changes in BMI (n = 2735), as well as interactions of changes in fast-food restaurant density and walkability with genetic risk (n = 1676).

resultsChanges in fast-food restaurant density (e.g., Δ2010-2006: β = -0.04, 95% CI: -0.11 to 0.03) and walkability (e.g., Δ2010-2006: β = -0.05, 95% CI: -0.14 to 0.05) were not associated with BMI changes. Additionally, genetic risk did not moderate these associations.

conclusionsWe found limited evidence that moving to neighborhoods with higher fast-food restaurant density or less walkability was associated with BMI changes or that genetic risk moderated these associations. Our findings suggest that associations between the built environment and BMI changes during the transition into young adulthood are likely small.

Indexed as

Body Mass IndexBuilt EnvironmentGenetic Predisposition to DiseaseNeighborhood CharacteristicsAdolescentAdultFast FoodsFemaleGene-Environment InteractionHumansLongitudinal StudiesMaleResidence CharacteristicsRestaurantsRisk FactorsWalking

Identifiers

PMID39828653
PMCPMC11774011

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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.