Evidence map›Paper›PMID 35192715›Full record

ArticleTranslational behavioral medicine2022

Active living-oriented zoning codes and cardiometabolic conditions across the lifespan.

Shannon N Zenk, Oksana Pugach, Jamie F Chriqui, Coady Wing, Dorrie Raymond, Elizabeth Tarlov, Bethany Sheridan, Kelly K Jones, Sandy J Slater

Open access · bronzeAbstract read
In one paragraph

Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 6 institutions in 1 country.

Shannon N ZenkNational Institute of Nursing Research, Bethesda, MD, USA.
Oksana PugachMethodology Research Core, Institute of Health Research and Policy, University of Illinois Chicago (UIC), Chicago, IL, USA.
Jamie F ChriquiMethodology Research Core, Institute of Health Research and Policy, University of Illinois Chicago (UIC), Chicago, IL, USA.
Coady WingSchool of Public and Environmental Affairs at Indiana University, Bloomington, IN, USA.
Dorrie Raymondathenahealth, Inc., Watertown, MA, USA.
Elizabeth TarlovDepartment of Health Population Nursing Science, College of Nursing, UIC, Chicago, IL, USA.
Bethany Sheridanathenahealth, Inc., Watertown, MA, USA.
Kelly K JonesDivision of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.ORCID 0000-0002-1552-7847
Sandy J SlaterDepartment of Pharmaceutical and Administrative Sciences, School of Pharmacy at Concordia University in Mequon, Mequon, WI, USA.
University of Illinois Chicago · USathenahealth · USConcordia University · USIndiana University Bloomington · USNational Institute of Nursing Research · USNational Institute on Minority Health and Health Disparities · US

Funding

Environmental Attributes and Weight Control: Study of Over 1.3 Million VeteransR01CA172726 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI TARLOV, ELIZABETH, ZENK, SHANNON N · 2013 to 2016
$2.3M
Impact of Zoning Code Reforms on the Built Environment and Physical Activity BehaR01CA158035 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CHRIQUI, JAMIE F · 2012 to 2014
$1.7M
NCI NIH HHS R01 CA158035NCI NIH HHS R01CA158035NCI NIH HHS R01 CA172726VA IIR 13-085
6 · The paper itself

Abstract

Environments that make it easier for people to incorporate physical activity into their daily life may help to reduce high rates of cardiometabolic conditions. Local zoning codes are a policy and planning tool to create more walkable and bikeable environments. This study evaluated relationships between active living-oriented zoning code environments and cardiometabolic conditions (body mass index, hyperlipidemia, hypertension). The study used county identifiers to link electronic health record and other administrative data for a sample of patients utilizing primary care services between 2012 and 2016 with county-aggregated zoning code data and built environment data. The analytic sample included 7,441,991 patients living in 292 counties in 44 states. Latent class analysis was used to summarize municipal- and unincorporated county-level data on seven zoning provisions (e.g., sidewalks, trails, street connectivity, mixed land use), resulting in classes that differed in strength of the zoning provisions. Based on the probability of class membership, counties were categorized as one of four classes. Linear and logistic regression models estimated cross-sectional associations with each cardiometabolic condition. Models were fit separately for youth (aged 5-19), adults (aged 20-59), and older adults (aged 60+). Little evidence was found that body mass index in youth, adults, or older adults or the odds of hyperlipidemia or hypertension in adults or older adults differed according to the strength of active living-oriented zoning. More research is needed to identify the health impacts of zoning codes and whether alterations to these codes would improve population health over the long term.

Indexed as

Cardiovascular DiseasesHypertensionMetabolic DiseasesAdolescentAgedCity PlanningCross-Sectional StudiesHumansLongevityActive livingHyperlipidemiaHypertensionObesityPolicyZoning

Identifiers

PMID35192715
PMCPMC9132202
OpenAlexW4213442763

What OpenQuestion holds

Textmetadata
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.