Evidence map›Paper›PMID 27070635›Full record

ArticleInternational journal of environmental research and public health2016

Urban Park Development and Pediatric Obesity Rates: A Quasi-Experiment Using Electronic Health Record Data.

TaShauna U Goldsby, Brandon J George, Valerie A Yeager, Bisakha P Sen, Alva Ferdinand, Devon M T Sims, Bryn Manzella, Asheley Cockrell Skinner, David B Allison, Nir Menachemi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The built environment as determinant of childhood obesity: A systematic literature review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

TaShauna U GoldsbyOffice of Energetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA. tgoldsby@uab.edu.
Brandon J GeorgeOffice of Energetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA. brgeorge@uab.edu.
Valerie A YeagerDepartment of Global Health Management and Policy, Tulane University, New Orleans, LA 70112, USA. vayeager@tulane.edu.
Bisakha P SenDepartment of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, AL 35294, USA. bsen@uab.edu.
Alva FerdinandDepartment of Health Policy and Management, Texas A&M Health Science Center, College Station, TX 77843, USA. ferdinand@tamhsc.edu.
Devon M T SimsScientific Technologies Corporation, Scottsdale, AZ 85258, USA. devon_sims@stchome.com.
Bryn ManzellaJefferson County Department of Health, Birmingham, AL 35233, USA. bryn.manzella@jcdh.org.
Asheley Cockrell SkinnerDivision of General Internal Medicine, The Duke Clinical Research Institute, Duke University, Durham, NC 27705, USA. asheley.skinner@duke.edu.
David B AllisonOffice of Energetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA. dallison@uab.edu.
Nir MenachemiDepartment Health Policy and Management, Indiana University, Indianapolis, IN 46202, USA. nirmena@iu.edu.

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB Obesity Training ProgramT32DK062710 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill, Brooks C Wingo · 2004 to 2026
$5.5M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
Beyond textbook, yet simple, statistical tools for reproducible animal researchR25GM116167 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2015 to 2016
$149k
NHLBI NIH HHS R25 HL124208NHLBI NIH HHS R25HL124208NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30DK056336NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R25 DK099080NIDDK NIH HHS R25DK099080NIDDK NIH HHS T32 DK062710NIDDK NIH HHS T32DK062710-01A1NIGMS NIH HHS R25 GM116167NIGMS NIH HHS R25GM116167
6 · The paper itself

Abstract

introductionChildhood obesity affects ~20% of children in the United States. Environmental influences, such as parks, are linked with increased physical activity (PA).

objectiveTo examine whether changes in Body Mass Index (BMI) z-score were associated with construction of a new park.

methodsA quasi-experimental design was used to determine whether living in proximity of a park was associated with a reduction in BMI z-score. Children were selected from health clinics within an 11 mile radius of the park. A repeated-measure ANOVA was employed for analysis of the relationship between exposure (new park) and BMI z-score.

resultsParticipants were 1443 (median age 10.3 range (2-17.9 years), BMI: z-score 0.84 ± 1.09) African American (77.4%) adolescents. Change in BMI z-score was not statistically different for children living at different distances from the park after controlling for age, gender, race, ethnicity, or payer type (p = 0.4482). We did observe a small 0.03 increase in BMI z-score from pre- to post-park (p = 0.0007). There was a significant positive association between child's baseline age and BMI z-score (p < 0.001).

conclusionsThis study found proximity to a park was not associated with reductions in BMI z-score. Additional efforts to understand the complex relationship between park proximity, access, and PA are warranted.

Indexed as

Parks, RecreationalAdolescentAlabamaBody Mass IndexChildChild, PreschoolElectronic Health RecordsEnvironmentFemaleHumansMalePediatric ObesityRacial GroupsUrban Renewalbuilt environmentchildhood obesityelectronic health recordsquasi-experiment

Identifiers

PMID27070635
PMCPMC4847073

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.