Evidence map›Paper›PMID 30416248›Full record

ArticleGeoJournal2018

Do sedentary behavior and physical activity spatially cluster? Analysis of a population-based sample of Boston adolescents.

Kosuke Tamura, Dustin T Duncan, Jessica Athens, Marc Scott, Michael Rienti, Jared Aldstadt, Laurie M Brotman, Brian Elbel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoJournal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Kosuke TamuraDepartment of Population Health, School of Medicine, New York University, New York, NY.
Dustin T DuncanDepartment of Population Health, School of Medicine, New York University, New York, NY.
Jessica AthensDepartment of Population Health, School of Medicine, New York University, New York, NY.
Marc ScottCollege of Global Public Health, New York University, New York, NY.
Michael RientiDepartment of Geography, University at Buffalo, State University of New York, Buffalo, NY.
Jared AldstadtDepartment of Geography, University at Buffalo, State University of New York, Buffalo, NY.
Laurie M BrotmanDepartment of Population Health, School of Medicine, New York University, New York, NY.
Brian ElbelDepartment of Population Health, School of Medicine, New York University, New York, NY.

Funding

Impact of the Food Environment on Child Body Mass Index - Resubmission - 1R01DK097347 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN · 2013 to 2016
$2.7M
NIDDK NIH HHS R01 DK097347
6 · The paper itself

Abstract

Sedentary behavior and lack of physical activity are key modifiable behavioral risk factors for chronic health problems, such as obesity and diabetes. Little is known about how sedentary behavior and physical activity among adolescents spatially cluster. The objective was to detect spatial clustering of sedentary behavior and physical activity among Boston adolescents. Data were used from the 2008 Boston Youth Survey Geospatial Dataset, a sample of public high school students who responded to a sedentary behavior and physical activity questionnaire. Four binary variables were created: 1) TV watching (>2 hours/day), 2) video games (>2 hours/day), 3) total screen time (>2 hours/day); and 4) 20 minutes/day of physical activity (≥5 days/week). A spatial scan statistic was utilized to detect clustering of sedentary behavior and physical activity. One statistically significant cluster of TV watching emerged among Boston adolescents in the unadjusted model. Students inside the cluster were more than twice as likely to report > 2 hours/day of TV watching compared to respondents outside the cluster. No significant clusters of sedentary behavior and physical activity emerged. Findings suggest that TV watching is spatially clustered among Boston adolescents. Such findings may serve to inform public health policymakers by identifying specific locations in Boston that could provide opportunities for policy intervention. Future research should examine what is linked to the clusters, such as neighborhood environments and network effects.

Indexed as

exercisegeographical patternsspatial scan statisticsTV viewingurban cityyouth

Identifiers

PMID30416248
PMCPMC6219465

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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.