Evidence map›Paper›PMID 34734099›Full record

ArticleHealth behavior and policy review2021

Predictors of on-task Behaviors: Evaluating Student-level Characteristics.

Natalie M Golaszewski, John B Bartholomew, Vanessa L Errisuriz, Elizabeth Korinek, Esbelle Jowers

Abstract read
In one paragraph

Article in Health behavior and policy review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Natalie M GolaszewskiUniversity of California, San Diego, La Jolla, CA, United States.
John B BartholomewThe University of Texas at Austin, Austin, TX, United States.
Vanessa L ErrisurizThe University of Texas at Austin, Austin, TX, United States.
Elizabeth KorinekThe University of Texas at Austin, Austin, TX, United States.
Esbelle JowersThe University of Texas at Austin, Austin, TX, United States.

Funding

Building the Evidence Base for Physically Active Lessons in Elementary SchoolsR01HD070741 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI BARTHOLOMEW, JOHN B. · 2011 to 2015
$2.3M
Improving the Health of Aging Women and Men.T32AG058529 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LACROIX, ANDREA Z. · 2019 to 2023
$1.2M
NHLBI NIH HHS L30 HL148938NIA NIH HHS T32 AG058529NICHD NIH HHS R01 HD070741
6 · The paper itself

Abstract

objectiveIn this study, we examined students' fitness, body mass index (BMI), and demographics as predictors of observed time on-task (TOT) behaviors as an indicator of behavioral inattention.

methodsWe collected demographics, fitness estimates, and BMI from 2020 fourth-graders (Mean age = 8.6 (SD = 0.5); 47% girls; 49% white) from 28 schools. We measured TOT through momentary time sampling observations. Three-level linear models were conducted to determine whether characteristics predicted differences in TOT. We tested interactions between characteristics and TOT.

resultsOlder students exhibited greater percent of TOT (estimate = 2.34, SE = 1.02, df = 919, t = 2.30, p < .05). Additionally, boys spent less percent TOT (estimate = -3.59, SE = 1.03, df = 906, t = -3.49, p < .05). There were no differences by race/ethnicity, SES, BMI, fitness, or time of day and percent TOT. Furthermore, none of the interactions were statistically significant (p > .15).

conclusionsGirls and older students spent more TOT. These findings are of interest to educators and psychologists working on the development of research-based guidelines aimed to support elementary students' engagement in the classroom.

Indexed as

academic engagementbody mass index (BMI)childrenelementary schoolon-task behaviorsstudent characteristics

Identifiers

PMID34734099
PMCPMC8562880

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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.