Evidence map›Paper›PMID 34878735›Full record

ArticleJournal for specialists in pediatric nursing : JSPN2022

Dispersion of daily physical activity behaviors in school-age children: A novel approach to measure patterns of physical activity.

Melissa M Klamm, Angela A Duck, Michael A Welsch, Yonghua Yan, Elisa R Torres, Breanna Wade, Mary W Stewart, Jill Clayton, Lei Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal for specialists in pediatric nursing : JSPN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

9 authors.

Melissa M KlammSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.ORCID 0000-0002-2736-0896
Angela A DuckSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.ORCID 0000-0002-5967-7505
Michael A WelschDepartment of Population Health Science, the John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Yonghua YanDepartment of Mathematics and Statistical Sciences, Jackson State University, Jackson, Mississippi, USA.
Elisa R TorresSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Breanna WadeDepartment of Population Health Science, the John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Mary W StewartSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Jill ClaytonSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Lei ZhangSchool of Nursing, University of Mississippi Medical Center, Jackson, Mississippi, USA.

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2M
Hypertension and Cardiorenal Research Training ProgramT32HL105324 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI Joey P. Granger · 2010 to 2026
$7.8M
NCI NIH HHS P30 CA013148NHLBI NIH HHS T32 HL105324NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

purposeThe objectives of this paper are (1) to examine patterns of physical activity (PA) and sedentary behavior; (2) to describe development of a method to quantify movement dispersion; and (3) to determine the relationship between variables of movement (i.e., volume, intensity, and dispersion), volume of sedentary behavior, and estimated cardiorespiratory capacity in school-aged children. DESIGN AND

methodsA secondary analysis of an existing data set with raw accelerometer data identified PA patterns of movement dispersion in school-aged children. Bar graphs visually depicted each participant's daily vector magnitude counts. The research team developed a dispersion variable-movement dispersion-and formula to provide a new quantification of daily PA patterns. Total movement dispersion represents both intensity and distribution of movement, whereas pure movement dispersion refers to the distribution of movement during the wear time, independent of intensity. Kendall's tau examined the relationship between several variables: body mass index percentile, average minutes of sedentary behavior, average minutes of light PA, average minutes of moderate-vigorous PA (MVPA), derived VO

resultsThree participants' activity graphs were presented as examples: (1) active, (2) inactive, and (3) mixed. The more active participant had the highest values for pure and total movement dispersion. The inactive participant had much lower pure and total movement dispersion values compared to the active participant. The mixed participant had high average minutes of MVPA yet lower pure and total movement dispersion values. Total movement dispersion had a significant correlation with average minutes of light PA (r = .406, p = .016) and average minutes of MVPA (r = .686, p < .001). Pure movement dispersion was significantly correlated with average minutes of light PA (r = .448, p = .008) and average minutes of MVPA (r = .599, p < .001). Average minutes of sedentary behavior (SB) were not significantly correlated with total (r = .041, p = .806) or pure movement dispersion (r = .165, p = .326). PRACTICE IMPLICATIONS: Movement dispersion may provide another tool to advance knowledge of PA, potentially leading to improved health outcomes. Raw accelerometer data, such as that gathered at the elementary school in this study, offer opportunities to identify school-aged children at risk for obesity, SB, and lack of PA.

Indexed as

AccelerometrySedentary BehaviorBody Mass IndexChildExerciseHumansSchoolsaccelerometerschildrendistributionhealth promotionpatternsphysical activity

Identifiers

PMID34878735
PMCPMC9615512

What OpenQuestion 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 OpenQuestion graph.