Evidence map›Paper›PMID 34817699›Full record

ArticleSports medicine - open2021

Evaluation of Sedentary Behavior and Physical Activity Levels Using Different Accelerometry Protocols in Children from the GENOBOX Study.

Francisco Jesus Llorente-Cantarero, Jose Manuel Jurado-Castro, Rosaura Leis, Rocío Vázquez-Cobela, Esther M González-Gil, Concepción María Aguilera, Gloria Bueno, Luis A Moreno, Angel Gil, Mercedes Gil-Campos

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In one paragraph

Article in Sports medicine - open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

10 authors at 2 institutions in 1 country.

Francisco Jesus Llorente-Cantarero *Department of Specific Didactics, Faculty of Education, University of Córdoba, Córdoba, Spain.ORCID http://orcid.org/0000-0003-0018-2011
Jose Manuel Jurado-Castro *Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.ORCID https://orcid.org/0000-0002-0198-2793
Rosaura Leis *CIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0002-0540-4210
Rocío Vázquez-CobelaCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0002-3155-1601
Esther M González-GilCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0003-2005-8229
Concepción María AguileraCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0002-1451-4788
Gloria BuenoCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain. mgbuenol@unizar.es.ORCID http://orcid.org/0000-0002-0902-387X
Luis A MorenoCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0003-0454-653X
Angel GilCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0001-7663-0939
Mercedes Gil-CamposCIBEROBN, (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0002-9007-0242
Instituto de Salud Carlos III · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ES

Funding

fondos feder PI11/01425; PI16/00871fondos feder PI11/02042fondos feder PI11/02059fondos feder PI16/01205fondos feder PI16/01301retic Red SAMID RD12/0026/0015ugr Plan sabatic
6 · The paper itself

Abstract

backgroundPhysical activity (PA) has acquired a significant relevance due to the health benefits associated with its practice. Accelerometers are an effective tool to assess PA; however, the diversity of cut-off points used to define different PA intensities through accelerometry could interfere in the interpretation of the findings among studies.

objectivesThe present study aimed to examine the sedentary behavior (SB) and physical activity (PA) levels in children using six selected accelerometry protocols based on diverse cut-off points.

methodsClinical examination, anthropometric measurements, and PA evaluation by accelerometry were assessed in 543 selected children (10 ± 2.4 years old) from the Spanish GENOBOX study. The ActiLife data scoring program was used to determine daily min spent in SB, and light, moderate, vigorous and moderate-vigorous PA using six validated accelerometry protocols differing in their cut-off points.

resultsVery different estimations for SB and PA intensity levels were found in children, independently of the non-wear-time algorithm selected, and considering puberty stages, age and body mass index. The time spent in daily SB varied from 471 to 663.7 min, PA ranged from 141 to 301.6 min, and the moderate-vigorous PA was reported between 20.7 and 180.2 min.

conclusionThe choice of a particular accelerometry protocol considering these factors is important to evaluate SB or PA intensities to suit the characteristics of the sample researched. It seems necessary to establish future lines of research that include different analytical approaches to measure SB and PA by accelerometry based on standardized and validated methodology.

Indexed as

Activity monitorChildExerciseLifestyle

Identifiers

PMID34817699
PMCPMC8613328
OpenAlexW3189251105

What OpenQuestion holds

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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.