Evidence map›Paper›PMID 31440167›Full record

ArticleFrontiers in physiology2019

Sedentary Thresholds for Accelerometry-Based Mean Amplitude Deviation and Electromyography Amplitude in 7-11 Years Old Children.

Ying Gao, Eero A Haapala, Anssi Vanhala, Arja Sääkslahti, Merja Rantakokko, Arto Laukkanen, Arto J Pesola, Timo Rantalainen, Taija Finni

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Associations of physical activity in detailed intensity ranges with body composition and physical function. a cross-sectional study among sedentary older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 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

9 authors at 3 institutions in 1 country.

Ying GaoFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Eero A HaapalaFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Anssi VanhalaFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Arja SääkslahtiFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Merja RantakokkoSchool of Health and Social Studies, JAMK University of Applied Sciences, Jyväskylä, Finland.
Arto LaukkanenFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Arto J PesolaActive Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
Timo RantalainenFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Taija FinniFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
University of Jyväskylä · FIFinland University · FIJAMK University of Applied Sciences · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the ability of energy expenditure, movement sensing, and muscle activity to discriminate sedentary and non-sedentary activities in children. Thirty-five 7-11-year-old children participated in the study. Simultaneous assessment of oxygen uptake (V̇O

Indexed as

accelerometryelectromyographypostureresting energy expendituresittingstanding

Identifiers

PMID31440167
PMCPMC6693354
OpenAlexW2963167714

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.