Evidence map›Paper›PMID 28526364›Full record

ArticleAmerican journal of preventive medicine2017

Surveillance of Youth Physical Activity and Sedentary Behavior With Wrist Accelerometry.

Youngwon Kim, Paul Hibbing, Pedro F Saint-Maurice, Laura D Ellingson, Erin Hennessy, Dana L Wolff-Hughes, Frank M Perna, Gregory J Welk

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Youngwon KimMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Kinesiology, Iowa State University, Ames, Iowa. Electronic address: youngwon.kim@mrc-epid.cam.ac.uk.
Paul HibbingDepartment of Kinesiology, Iowa State University, Ames, Iowa.
Pedro F Saint-MauriceDepartment of Kinesiology, Iowa State University, Ames, Iowa.
Laura D EllingsonDepartment of Kinesiology, Iowa State University, Ames, Iowa.
Erin HennessyClinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Dana L Wolff-HughesScience of Research and Technology Branch, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland.
Frank M PernaHealth Behaviors Research Branch, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland.
Gregory J WelkDepartment of Kinesiology, Iowa State University, Ames, Iowa.

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS HHSN261201200021CNCI NIH HHS HHSN261201200021INCI NIH HHS HHSN261201200028CNCI NIH HHS HHSN261201200028INCI NIH HHS HHSN261201200039CNCI NIH HHS HHSN261201200039INCI NIH HHS HHSN261201200081C
6 · The paper itself

Abstract

introductionAccurate tracking of physical activity (PA) and sedentary behavior (SB) is important to advance public health, but little is known about how to interpret wrist-worn accelerometer data. This study compares youth estimates of SB and moderate to vigorous PA (MVPA) obtained using raw and count-based processing methods.

methodsData were collected between April and October 2014 for the National Cancer Institute's Family Life, Activity, Sun, Health, and Eating Study: a cross-sectional Internet-based study of youth/family cancer prevention behaviors. A subsample of 628 adolescents (aged 12-17 years) wore the ActiGraph GT3X+ on the wrist for 7 days. In 2015-2016, SB and MVPA time were calculated from raw data using R-package GGIR and from activity counts data using published cutpoints (Crouter and Chandler). Estimates were compared across age, sex, and weight status to examine the impact of processing methods on behavioral outcomes.

resultsActiGraph data were available for 408 participants. Large differences in SB and MVPA time were observed between processing methods, but age and gender patterns were similar. Younger children (aged 12-14 years) had lower sedentary time and greater MVPA time (p-values <0.05) than older children (aged 15-17 years), consistent across methods. The proportion of youth with ≥60 minutes of MVPA/day was highest with the Crouter methods (~50%) and lowest with GGIR (~0%).

conclusionsConclusions about youth PA and SB are influenced by the wrist-worn accelerometer data processing method. Efforts to harmonize processing methods are needed to promote standardization and facilitate reporting of monitor-based PA data.

Indexed as

ExerciseSedentary BehaviorWristAccelerometryAdolescentAge FactorsChildCross-Sectional StudiesFemaleHealth BehaviorHumansMale

Identifiers

PMID28526364
PMCPMC5497761

What Socratic holds

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Registered trials

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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 Socratic graph.