Evidence map›Paper›PMID 26384932›Full record

ArticleAmerican journal of preventive medicine2015

Statistical Design Features of the Healthy Communities Study.

Warren J Strauss, Christopher J Sroka, Edward A Frongillo, S Sonia Arteaga, Catherine M Loria, Eric S Leifer, Colin O Wu, Heather Patrick, Howard A Fishbein, Lisa V John

Open access · hybridAbstract read
In one paragraph

Article in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 39 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

10 authors at 4 institutions in 1 country.

Warren J StraussBattelle Health and Analytics, Columbus, Ohio. Electronic address: strauss@battelle.org.
Christopher J SrokaBattelle Health and Analytics, Columbus, Ohio.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.
S Sonia ArteagaDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Catherine M LoriaDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Eric S LeiferDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Colin O WuDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Heather PatrickDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Howard A FishbeinBattelle Health and Analytics, Arlington, Virginia.
Lisa V JohnBattelle Health and Analytics, St. Louis, Missouri.
Battelle · USNational Heart Lung and Blood Institute · USNational Cancer Institute · USUniversity of South Carolina · US

Funding

NHLBI NIH HHS HHSN268201000041C
6 · The paper itself

Abstract

The Healthy Communities Study is designed to assess relationships between characteristics of community programs and policies targeting childhood obesity and children's BMI, diet, and physical activity. The study involved a complex data collection protocol implemented over a 2-year period (2013-2015) across a diverse sample of 130 communities, defined as public high school catchment areas. The protocol involved baseline assessment within each community that included in-person or telephone interviews regarding community programs and policies and in-home collection of BMI, nutritional, and physical activity outcomes from a sample of up to 81 children enrolled in kindergarten through eighth grade in public schools. The protocol also involved medical record reviews to establish a longitudinal trajectory of BMI for an estimated 70% of participating children. Staged sampling was used to collect less detailed measures of physical activity and nutrition across the entire sample of children, with a subset assessed using more costly, burdensome, and detailed measures. Data from the Healthy Community Study will be analyzed using both cross-sectional and longitudinal models that account for the complex design and correct for measurement error and bias using a likelihood-based Markov-chain Monte Carlo methodology. This methods paper provides insights into the complex design features of the Healthy Communities Study and may serve as an example for future large-scale studies that assess the relationship between community-based programs and policies and health outcomes of community residents.

Indexed as

Health PromotionResidence CharacteristicsStatistics as TopicHumansPediatric ObesityResearch Design

Identifiers

PMID26384932
PMCPMC4575768
OpenAlexW1893675651

What OpenQuestion holds

Textmetadata
LicenceTDM
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.