Evidence map›Paper›PMID 37580374›Full record

ArticleInternational journal of obesity (2005)2023

Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).

Paul R Hibbing, Jordan A Carlson, Chelsea Steel, Mikael Anne Greenwood-Hickman, Supun Nakandala, Marta M Jankowska, John Bellettiere, Jingjing Zou, Andrea Z LaCroix, Arun Kumar and 2 more

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Paul R HibbingDepartment of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA. phibbing@uic.edu.ORCID 0000-0002-1469-5160
Jordan A CarlsonCenter for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA.
Chelsea SteelCenter for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA.
Mikael Anne Greenwood-HickmanKaiser Permanente Washington Health, Research Institute, Seattle, WA, USA.
Supun NakandalaDatabricks Inc, San Francisco, CA, USA.
Marta M JankowskaBeckman Research Institute, Population Sciences, City of Hope, Duarte, CA, USA.
John BellettiereHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Jingjing ZouHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Andrea Z LaCroixHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Arun KumarDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
Peter T KatzmarzykPennington Biomedical Research Center, Baton Rouge, LA, USA.ORCID 0000-0002-9280-6022
Loki NatarajanHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.

Funding

Novel computational techniques to detect the relationship between sitting patterns and metabolic syndrome in existing cohort studies.R01DK114945 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NATARAJAN, LOKI · 2018 to 2021
$2.6M
NIDDK NIH HHS R01 DK114945
6 · The paper itself

Abstract

BACKGROUND/

objectivesSedentary behavior (SB) has both movement and postural components, but most SB research has only assessed low movement, especially in children. The purpose of this study was to compare estimates and health associations of SB when derived from a standard accelerometer cut-point, a novel sitting detection technique (CNN Hip Accelerometer Posture for Children; CHAP-Child), and both combined.

methodsData were from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Participants were 6103 children (mean ± SD age 10.4 ± 0.56 years) from 12 countries who wore an ActiGraph GT3X+ accelerometer on the right hip for approximately one week. We calculated SB time, mean SB bout duration, and SB breaks using a cut-point (SB

resultsAfter adjusting for MVPA, SB

conclusionsUsing traditional measures of low movement as a surrogate for SB may lead to underestimated or undetected adverse associations between SB and obesity. CHAP-Child allows assessment of sitting posture using hip-worn accelerometers. Ongoing work is needed to understand how low movement and posture are related to one another, as well as their potential health implications.

Indexed as

Pediatric ObesityAccelerometryBody Mass IndexChildExerciseHumansLife StyleSedentary Behavior

Identifiers

PMID37580374
PMCPMC10714872

What OpenQuestion holds

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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.