Evidence map›Paper›PMID 33526041›Full record

SynthesisInternational journal of health geographics2021

Associations between the built environment and obesity: an umbrella review.

Thao Minh Lam, Ilonca Vaartjes, Diederick E Grobbee, Derek Karssenberg, Jeroen Lakerveld

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of health geographics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
–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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Associations Between the Built Environment and Adult Obesity and the Mediating Role of Physical Activity: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. The neighbourhood built environment and health-related fitness: a narrative systematic review.The international journal of behavioral nutrition and physical activity · 2022
    Pooled it
  6. Photovoice as a Methodology in Obesity Research: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
  7. Article
  8. Disparities of children's obesogenic environments in Louisiana.International journal of health geographics · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

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

5 authors.

Thao Minh LamJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht & Utrecht University, Utrecht, the Netherlands. t.m.lam@amsterdamumc.nl.ORCID 0000-0002-7240-726X
Ilonca VaartjesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht & Utrecht University, Utrecht, the Netherlands.
Diederick E GrobbeeJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht & Utrecht University, Utrecht, the Netherlands.
Derek KarssenbergDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands.
Jeroen LakerveldJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht & Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past two decades, the built environment emerged as a conceptually important determinant of obesity. As a result, an abundance of studies aiming to link environmental characteristics to weight-related outcomes have been published, and multiple reviews have attempted to summarise these studies under different scopes and domains. We set out to summarise the accumulated evidence across domains by conducting a review of systematic reviews on associations between any aspect of the built environment and overweight or obesity.

methodsSeven databases were searched for eligible publications from the year 2000 onwards. We included systematic literature reviews, meta-analyses and pooled analyses of observational studies in the form of cross-sectional, case-control, longitudinal cohort, ecological, descriptive, intervention studies and natural experiments. We assessed risk of bias and summarised results structured by built environmental themes such as food environment, physical activity environment, urban-rural disparity, socioeconomic status and air pollution.

resultsFrom 1850 initial hits, 32 systematic reviews were included, most of which reported equivocal evidence for associations. For food- and physical activity environments, associations were generally very small or absent, although some characteristics within these domains were consistently associated with weight status such as fast-food exposure, urbanisation, land use mix and urban sprawl. Risks of bias were predominantly high.

conclusionsThus far, while most studies have not been able to confirm the assumed influence of built environments on weight, there is evidence for some obesogenic environmental characteristics. Registration: This umbrella review was registered on PROSPERO under ID CRD42019135857.

Indexed as

Built EnvironmentObesityCross-Sectional StudiesEnvironment DesignHumansMeta-Analysis as TopicObservational Studies as TopicOverweightSystematic Reviews as TopicBuilt environmentFood environmentObesityObesogenic environmentOverweightPhysical activityUmbrella review

Identifiers

PMID33526041
PMCPMC7852132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.