Evidence map›Paper›PMID 26079657›Full record

ArticleJournal of public health management and practice : JPHMP

Priorities of Municipal Policy Makers in Relation to Physical Activity and the Built Environment: A Latent Class Analysis.

Monica L Wang, Karin Valentine Goins, Milena Anatchkova, Ross C Brownson, Kelly Evenson, Jay Maddock, Kristian E Clausen, Stephenie C Lemon

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

8 authors.

Monica L WangDepartment of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts (Dr Wang and Ms Clausen); Department of Quantitative Health Sciences (Dr Anatchkova), Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester (Ms Goins and Dr Lemon); Division of Public Health Sciences and Siteman Cancer Center, School of Medicine, Washington University in St Louis (Dr Brownson); Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill (Dr Evenson); and Office of the Dean, Texas A&M School of Public Health (Dr Maddock).
Karin Valentine Goins
Milena Anatchkova
Ross C Brownson
Kelly Evenson
Jay Maddock
Kristian E Clausen
Stephenie C Lemon

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
HPDPRC SIP 13-66U48DP001903 · DP · SAINT LOUIS UNIVERSITY · PI BAKER, ELIZABETH A · 2009 to 2013
$7.3M
UMMS PREVENTION RESEARCH CENTER FOR OBESITY AND RELATED CONDITIONS-CATEGORY 2U48DP001933 · DP · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C. · 2009 to 2013
$2.4M
Mentored Training for Dissemination and Implemention Research in CancerR25CA171994 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2013 to 2017
$1.5M
NCCDPHP CDC HHS U48 DP001903NCCDPHP CDC HHS U48/DP001903NCCDPHP CDC HHS U48 DP001933NCI NIH HHS R25 CA171994NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

objectiveTo examine policy makers' public policy priorities related to physical activity and the built environment, identify classes of policy makers based on priorities using latent class analysis, and assess factors associated with class membership.

designCross-sectional survey data from municipal officials in 94 cities and towns across 6 US states were analyzed.

participantsParticipants (N = 423) were elected or appointed municipal officials spanning public health, planning, transportation/public works, community and economic development, parks and recreation, and city management.

main outcome measuresParticipants rated the importance of 11 policy areas (public health, physical activity, obesity, economic development, livability, climate change, air quality, natural resource conservation, traffic congestion, traffic safety, and needs of vulnerable populations) in their daily job responsibilities. Latent class analysis was used to determine response patterns and identify distinct classes based on officials' priorities. Logistic regression models assessed participant characteristics associated with class membership.

resultsFour classes of officials based on policy priorities emerged: (1) economic development and livability; (2) economic development and traffic concerns; (3) public health; and (4) general (all policy areas rated as highly important). Compared with class 4, officials in classes 1 and 3 were more likely to have a graduate degree, officials in class 2 were less likely to be in a public health job/department, and officials in class 3 were more likely to be in a public health job/department.

conclusionsFindings can guide public health professionals in framing discussions with policy makers to maximize physical activity potential of public policy initiatives, particularly economic development.

Indexed as

Environment DesignExerciseLocal GovernmentPublic PolicyAdministrative PersonnelCross-Sectional StudiesEconomic DevelopmentFemaleHumansMalePublic HealthResidence Characteristics

Identifiers

PMID26079657
PMCPMC4677062

What OpenQuestion holds

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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.