Evidence map›Paper›PMID 32661291›Full record

ArticleInternational journal of obesity (2005)2021

Associations of movement behaviors and body mass index: comparison between a report-based and monitor-based method using Compositional Data Analysis.

Youngwon Kim, Ryan D Burns, Duck-Chul Lee, Gregory J Welk

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Characteristics of Combined Movement Behavior Interventions in Children and Adolescents: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  3. Twenty-Four-Hour Compositional Data Analysis in Healthcare: Clinical Potential and Future Directions.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metabolic Syndrome and Functional Fitness Abilities.Journal of clinical medicine · 2021
    Article
  15. Segmented School Physical Activity and Weight Status in Children: Application of Compositional Data Analysis.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. Movement Behaviors and Perceived Loneliness and Sadness within Alaskan Adolescents.International journal of environmental research and public health · 2020
    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

4 authors at 3 institutions in 3 countries.

Youngwon KimSchool of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Pokfulam, Hong Kong. youngwon.kim@hku.hk.ORCID http://orcid.org/0000-0002-7846-7191
Ryan D BurnsDepartment of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, UT, 84112, USA.
Duck-Chul LeeDepartment of Kinesiology, Iowa State University, Ames, IA, 50011-4008, USA.
Gregory J WelkDepartment of Kinesiology, Iowa State University, Ames, IA, 50011-4008, USA.
Iowa State University · USHKU-Pasteur Research Pole · HKUniversity of Utah · US

Funding

A Measurement Error Approach to Estimating Usual Daily Physical Activity DistribuR01HL091024 · NHLBI · IOWA STATE UNIVERSITY · PI WELK, GREG J · 2008 to 2011
$2.8M
NHLBI NIH HHS R01 HL091024
6 · The paper itself

Abstract

BACKGROUND/

objectivesEvidence on the associations between lifestyle movement behaviors and obesity has been established without taking into account the time-constrained nature of categorized, time-based lifestyle behaviors. We examined the associations of sleep, sedentary behavior (SED), light-intensity physical activity (LPA), and moderate-to-vigorous PA (MVPA) with body mass index (BMI) using Compositional Data Analysis (CoDA), and compared the associations between a report-based method (24-h Physical Activity Recall; 24PAR) and a monitor-based method (SenseWear Armband; SWA). SUBJECTS/

methodsReplicate data from a representative sample of 1247 adults from the Physical Activity Measurement Survey (PAMS) were used in the study. Participants completed activity monitoring on two randomly selected days, each of which required wearing a SWA for a full day, and then completing a telephone-administered 24PAR the following day. Relationships among behavioral compositional parts and BMI were analyzed using CoDA via multiple linear regression models with both 24PAR and SWA data.

resultsUsing 24PAR, time spent in sleep (γ = -3.58, p = 0.011), SED (γ = 3.70, p = 0.002), and MVPA (γ = -0.53, p = 0.018) was associated with BMI. Using SWA, time spent in sleep (γ = -5.10, p < 0.001), SED (γ = 8.93, p < 0.001), LPA (γ = -3.12, p < 0.001), and MVPA (γ = -1.43, p < 0.001) was associated with BMI. The SWA models explained more variance in BMI (R

conclusionsFavorable levels of relative time spent in lifestyle movement behaviors were, in general, associated with decreased BMI. The observed associations were stronger using the monitor-based SWA method compared with the report-based 24PAR method.

Indexed as

Body Mass IndexAdultCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedObesitySleep

Identifiers

PMID32661291
PMCPMC7752757
OpenAlexW3041680522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.