Evidence map›Paper›PMID 28271024›Full record

ArticlePreventive medicine reports2017

Development and implementation of a local government survey to measure community supports for healthy eating and active living.

Latetia V Moore, Susan A Carlson, Stephen Onufrak, Dianna D Carroll, Deborah Galuska

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Latetia V MooreDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Susan A CarlsonDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Stephen OnufrakDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Dianna D CarrollDivision of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States; Commissioned Corps, U.S. Public Health Service, Atlanta, GA, United States.
Deborah GaluskaDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Centers for Disease Control and Prevention · USNational Center for Chronic Disease Prevention and Health Promotion · USUnited States Public Health Service Commissioned Officers Association · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to make healthy choices is influenced by where one lives, works, shops, and plays. Locally enacted policies and standards can influence these surroundings but little is known about the prevalence of such policies and standards that support healthier behaviors. In this paper, we describe the development of a survey questionnaire designed to capture local level policy supports for healthy eating and active living and findings and lessons learned from a 2012 pilot in two states, Minnesota and California, including respondent burden, survey sampling and administration methods, and survey item feasibility issues. A 38-item, web-based, self-administered survey and sampling frame were developed to assess the prevalence of 22 types of healthy eating and active living policies in a representative sample of local governments in the two states. The majority of respondents indicated the survey required minimal effort to complete with half taking < 20 min to complete the survey. A non-response follow-up plan including emails and phone calls was required to achieve a 68% response rate (versus a 37% response rate for email only reminders). Local governments with larger residential populations reported having healthy eating and active living policies and standards more often than smaller governments. Policies that support active living were more common than those that support healthy eating and varied within the two states. The methods we developed are a feasible data collection tool for estimating the prevalence of municipal healthy eating and active living policies and standards at the state and national level.

Indexed as

City planningDietEnvironmentExerciseGovernmentPopulation surveillancePublic policy

Identifiers

PMID28271024
PMCPMC5329065
OpenAlexW2587959316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.