Evidence map›Paper›PMID 24732717›Full record

ArticlePreventive medicine2014

Urban sprawl and body mass index among displaced Hurricane Katrina survivors.

Mariana Arcaya, Peter James, Jean E Rhodes, Mary C Waters, S V Subramanian

Abstract read
In one paragraph

Article in Preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
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  8. Review
  9. Article
  10. Review
  11. Influence of Post-disaster Evacuation on Incidence of Metabolic Syndrome.Journal of atherosclerosis and thrombosis · 2017
    Article
  12. Article
  13. Article
  14. Neighborhood Self-Selection: The Role of Pre-Move Health Factors on the Built and Socioeconomic Environment.International journal of environmental research and public health · 2015
    Article
  15. Article
  16. Role of health in predicting moves to poor neighborhoods among Hurricane Katrina survivors.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
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.

Mariana ArcayaCenter for Population and Development Studies, Harvard School of Public Health, Cambridge, MA, USA. Electronic address: marcaya@hsph.harvard.edu.
Peter JamesDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA. Electronic address: pjames@hsph.harvard.edu.
Jean E RhodesDepartment of Psychology, University of Massachusetts, Boston, Boston, MA, USA. Electronic address: Jean.Rhodes@umb.edu.
Mary C WatersDepartment of Sociology, Harvard University, Cambridge, MA, USA. Electronic address: mcw@wjh.harvard.edu.
S V SubramanianDepartment of Society, Human Development and Health, Harvard School of Public Health, Boston, MA, USA. Electronic address: svsubram@hsph.harvard.edu.

Funding

Adversity and Resilience after Hurricane KatrinaR01HD057599 · NICHD · PRINCETON UNIVERSITY · PI WATERS, MARY C · 2008 to 2012
$2.9M
The Relationship Between College Education &HealthR01HD046162 · NICHD · PRINCETON UNIVERSITY · PI PAXSON, CHRISTINA H · 2004 to 2007
$1.4M
NICHD NIH HHS R01 HD046162NICHD NIH HHS R01HD046162NICHD NIH HHS R01 HD057599NICHD NIH HHS R01HD057599
6 · The paper itself

Abstract

objectiveExisting research suggests that walkable environments are protective against weight gain, while sprawling neighborhoods may pose health risks. Using prospective data on displaced Hurricane Katrina survivors, we provide the first natural experimental data on sprawl and body mass index (BMI).

methodsThe analysis uses prospectively collected pre- (2003-2005) and post-hurricane (2006-2007) data from the Resilience in Survivors of Katrina (RISK) project on 280 displaced Hurricane Katrina survivors who had little control over their neighborhood placement immediately after the disaster. The county sprawl index, a standardized measure of built environment, was used to predict BMI at follow-up, adjusted for baseline BMI and sprawl; hurricane-related trauma; and demographic and economic characteristics.

resultsRespondents from 8 New Orleans-area counties were dispersed to 76 counties post-Katrina. Sprawl increased by an average of 1.5 standard deviations (30 points) on the county sprawl index. Each one point increase in sprawl was associated with approximately .05kg/m(2) higher BMI in unadjusted models (95%CI: .01-.08), and the relationship was not attenuated after covariate adjustment.

conclusionsWe find a robust association between residence in a sprawling county and higher BMI unlikely to be caused by self-selection into neighborhoods, suggesting that the built environment may foster changes in weight.

Indexed as

Body Mass IndexCyclonic StormsDisastersRefugeesResidence CharacteristicsSurvivorsWeight GainAdultEnvironment DesignFemaleHumansMaleMultilevel AnalysisNew OrleansProspective StudiesUrban HealthBody mass indexDisastersMultilevel analysisResidence characteristicsUnited States

Identifiers

PMID24732717
PMCPMC4101042

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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.