Evidence map›Paper›PMID 36299767›Full record

ArticleFrontiers in public health2022

Associations of emotional/behavioral problems with accelerometer-measured sedentary behavior, physical activity and step counts in children with autism spectrum disorder.

Hailin Li, Bijun Shi, Xin Wang, Muqing Cao, Jiajie Chen, Siyu Liu, Xiaoling Zhan, Chengkai Jin, Zhaohuan Gui, Jin Jing and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Hailin LiDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Bijun ShiDepartment of Pediatrics, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xin WangDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Muqing CaoDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jiajie ChenDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Siyu LiuDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiaoling ZhanDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Chengkai JinDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhaohuan GuiDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jin JingDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yanna ZhuDepartment of Pediatrics, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The evidence for associations of emotional/behavioral status with sedentary behavior (SB), physical activity (PA) and step counts is scarce in children with autism spectrum disorder (ASD). Also, ASD-related deficiencies may affect actual levels of PA. We aimed to describe accelerometer-measured SB, PA and step counts in children with ASD, and to examine the associations of emotional/behavioral problems with SB, PA and step counts after assessing associations between accelerometer-measured SB, PA and step counts and ASD-related deficiencies. Methods: A total of 93 ASD children, aged 6-9 years, were recruited from the Center for Child and Adolescent Psychology and Behavioral Development of Sun Yat-sen University in Guangzhou, China. Participants wore an accelerometer for seven consecutive days. Of the original 93, 78 participants' accelerometer-measured valid PA were obtained, and the data were shown as time spent in SB, light, moderate, moderate-to-vigorous and vigorous PA, and step counts. Participants' emotional/behavioral problems were assessed via the Strengths and Difficulties Questionnaire (SDQ), and anxiety symptoms were evaluated by the Screen for Child Anxiety Related Emotional Disorders (SCARED). ASD-associated deficiencies include restricted repetitive behaviors (Repetitive Behavior Scale-Revised), poor social competence (Social Responsiveness Scale Second Edition) and motor development restrictions (Developmental Coordination Disorder Questionnaire). Results: Of the 78 participants, daily vigorous PA (VPA) and moderate-to-vigorous PA (MVPA) averaged 15.62 and 51.95 min, respectively. After adjustment for covariates, SDQ emotional symptoms (β = -0.060, Conclusions: Accelerometer-measured SB, PA and step counts showed no associations with ASD-related deficiencies. On this basis, we further found that the emotional symptoms were inversely associated with VPA and MVPA. These results emphasize the importance of VPA and MVPA in children with ASD. The longitudinally investigations on the directionality of these associations between emotional symptoms with VPA and MVPA are needed in the future.

Indexed as

Autism Spectrum DisorderProblem BehaviorAccelerometryAdolescentChildExerciseHumansSedentary Behavioraccelerometer-measuredautism spectrum disorderemotional/behavioral problemsphysical activitysedentary behaviorstep counts

Identifiers

PMID36299767
PMCPMC9588958
OpenAlexW4303958727

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.