Evidence map›Paper›PMID 33212768›Full record

ArticleHealthcare (Basel, Switzerland)2020

The Relationship between Technology Use and Physical Activity among Typically-Developing Children.

Thekra Alotaibi, Rifan Almuhanna, Johara Alhassan, Ethar Alqadhib, Eman Mortada, Reem Alwhaibi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Next Generation Weight Loss Drugs for the Prevention of Cancer?Cancer control : journal of the Moffitt Cancer Center
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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

6 authors.

Thekra AlotaibiRehabilitation Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.
Rifan AlmuhannaRehabilitation Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.
Johara AlhassanRehabilitation Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.
Ethar AlqadhibRehabilitation Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.
Eman MortadaHealth Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.
Reem AlwhaibiRehabilitation Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11466, Saudi Arabia.ORCID 0000-0001-5950-0497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the relationship between technology use and physical activity level and to measure the association between sociodemographic characteristics of the participants, technology use, and physical activity level among Saudi children. MATERIALS AND

methodsThis cross-sectional study was conducted among 458 parents of typically-developing Saudi children (6-12 years). A translated validated questionnaire used for data collection consisted of three parts: Children's Physical Activity Questionnaire (CPAQ), Questionnaire on the Impact of Technology on Children (used to investigate the impact of technology on children's physical activity) and sociodemographic questions (e.g, children's age and sex, age, educational level, marital status of parents and monthly income). Data were analyzed using Pearson correlation and Mann-Whitney U test to assess the relationship between technology use and physical activity level. A chi-squared test was used to assess the relationship between technology use and sociodemographic variables. Statistical significance was set at

resultsMean age of the sampled children was (8.44 ± 2.07). Data analysis revealed that high use of technology was significantly associated with low level of activity. Pearson's correlation analysis showed a negative relationship between a high level of activity and technology use (

conclusionspracticing inadequate physical activity among children could be influenced by educational level of parents, screen time use, and owning electrical devices. Therefore, parental involvement is required to reduce time of exposure to technology screens among children.

Indexed as

childrenparents’ questionnairephysical activitytechnology useyouth

Identifiers

PMID33212768
PMCPMC7712844

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.