Evidence map›Paper›PMID 34453098›Full record

ArticleInternational journal of obesity (2005)2021

Differential associations of the built environment on weight gain by sex and race/ethnicity but not age.

James H Buszkiewicz, Jennifer F Bobb, Flavia Kapos, Philip M Hurvitz, David Arterburn, Anne Vernez Moudon, Andrea Cook, Stephen J Mooney, Maricela Cruz, Shilpi Gupta and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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

15 authors at 2 institutions in 1 country.

James H BuszkiewiczCenter for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA. buszkiew@uw.edu.ORCID http://orcid.org/0000-0002-7919-7103
Jennifer F BobbKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Flavia KaposDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Philip M HurvitzUrban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, WA, USA.
David ArterburnKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Anne Vernez MoudonUrban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8485-4799
Andrea CookKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Stephen J MooneyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Maricela CruzKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Shilpi GuptaCenter for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA.
Paula LozanoKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Dori E RosenbergKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Mary Kay TheisKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Jane AnauKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Adam DrewnowskiCenter for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA.
Kaiser Permanente Washington Health Research Institute · USUniversity of Washington · US

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
Food Environment, Diet Quality and Disparities in ObesityR01DK076608 · NIDDK · UNIVERSITY OF WASHINGTON · PI DREWNOWSKI, ADAM · 2008 to 2019
$6.3M
Moving to Health: How changing built environments impact weight and glycemic controlR01DK114196 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ARTERBURN, DAVID ERIC, DREWNOWSKI, ADAM · 2017 to 2021
$2.7M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsR00LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2019 to 2021
$687k
NICHD NIH HHS P2C HD042828NIDDK NIH HHS R01 DK076608NIDDK NIH HHS R01 DK114196NLM NIH HHS R00 LM012868
6 · The paper itself

Abstract

objectiveTo explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.

methodsWeight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.

resultsDenser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction <0.001). These findings were consistent for other BE measures.

conclusionThe relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.

Indexed as

Sex FactorsAdolescentAdultBuilt EnvironmentCohort StudiesFemaleHumansMaleMiddle AgedRacial GroupsResidence CharacteristicsRetrospective StudiesWeight Gain

Identifiers

PMID34453098
PMCPMC8608695
OpenAlexW3196054548

What OpenQuestion holds

Textmetadata
LicenceTDM
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.