Evidence map›Paper›PMID 36169993›Full record

ArticleJMIR research protocols2022

Measuring Microtemporal Processes Underlying Preschoolers' Screen Use and Behavioral Health: Protocol for the Tots and Tech Study.

Layton Reesor-Oyer, Hannah Parker, Sarah Burkart, Michal T Smith, Roddrick Dugger, Lauren von Klinggraeff, R Glenn Weaver, Michael W Beets, Bridget Armstrong

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Layton Reesor-OyerDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-8890-5637
Hannah ParkerDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0003-4197-7224
Sarah BurkartDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-0840-1680
Michal T SmithDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-0483-3259
Roddrick DuggerDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-5969-6346
Lauren von KlinggraeffDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-4417-0701
R Glenn WeaverDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-5889-974X
Michael W BeetsDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0001-6728-6742
Bridget ArmstrongDepartment of Exercise Science, University of South Carolina, Columbia, SC, United States.ORCID https://orcid.org/0000-0002-1909-8170
University of South Carolina · US

Funding

Targeting Behavioral Adjustment and Healthy Lifestyle in Preschool-Age Children Using an Integrated Family-Based InterventionP20GM130420 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COOPER, DANIEL KABAT · 2020 to 2024
$11.2M
NIGMS NIH HHS P20 GM130420
6 · The paper itself

Abstract

backgroundExcessive screen time is associated with poor health and behavioral outcomes in children. However, research on screen time use has been hindered by methodological limitations, including retrospective reports of usual screen time and lack of momentary etiologic processes occurring within each day.

objectiveThis study is designed to assess the feasibility and utility of a comprehensive multibehavior protocol to measure the digital media use and screen time context among a racially and economically diverse sample of preschoolers and their families. This paper describes the recruitment, data collection, and analytical protocols for the Tots and Tech study.

methodsThe Tots and Tech study is a longitudinal, observational study of 100 dyads: caregivers and their preschool-age children (aged 3-5 years). Both caregivers and children will wear an Axivity AX3 accelerometer (Axivity Ltd) for 30 days to assess their physical activity, sedentary behavior, and sleep. Caregivers will complete ecological momentary assessments (EMAs) for 1 week to measure child behavioral problems, caregiver stress, and child screen time.

resultsThe Tots and Tech study was funded in March 2020. This study maintains rolling recruitment, with each dyad on their own assessment schedule, depending on the time of enrollment. Enrollment was scheduled to take place between September 2020 and May 2022. We aim to enroll 100 caregiver-child dyads. The Tots and Tech outcome paper is expected to be published in 2022.

conclusionsThe Tots and Tech study attempts to overcome previous methodological limitations by using objective measures of screen time, physical activity, sedentary behavior, and sleep behaviors with contextual factors measured by EMA. The results will be used to evaluate the feasibility and utility of a comprehensive multibehavior protocol using objective measures of mobile screen time and accelerometry in conjunction with EMA among caregiver-child dyads. Future observational and intervention studies will be able to use this study protocol to better measure screen time and its context. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36240.

Indexed as

accelerometeryecological momentary assessmentmobile phoneobjective screen time monitoring

Identifiers

PMID36169993
PMCPMC9557980
OpenAlexW4293473217

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.