Evidence map›Paper›PMID 31434251›Full record

ReviewNutrients2019

How Lifestyle Factors Affect Cognitive and Executive Function and the Ability to Learn in Children.

Jamie Jirout, Jennifer LoCasale-Crouch, Khara Turnbull, Yin Gu, Mayaris Cubides, Sarah Garzione, Tanya M Evans, Arthur L Weltman, Sibylle Kranz

Abstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

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3 more citing papers are in PubMed but not listed here.

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.

Jamie JiroutCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.ORCID 0000-0003-4832-930X
Jennifer LoCasale-CrouchCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.
Khara TurnbullCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.ORCID 0000-0003-0828-4696
Yin GuCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.ORCID 0000-0003-0626-3701
Mayaris CubidesCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.
Sarah GarzioneDepartment of Kinesiology, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA 22903, USA.
Tanya M EvansCenter for Advanced Study of Teaching and Learning, Charlottesville, VA 22903, USA.
Arthur L WeltmanDepartment of Kinesiology, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-0125-3769
Sibylle KranzDepartment of Kinesiology, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA 22903, USA. sibylle.kranz@virginia.edu.ORCID 0000-0001-5637-1706

Funding

Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
NCATS NIH HHS KL2 TR003016
6 · The paper itself

Abstract

In today's research environment, children's diet, physical activity, and other lifestyle factors are commonly studied in the context of health, independent of their effect on cognition and learning. Moreover, there is little overlap between the two literatures, although it is reasonable to expect that the lifestyle factors explored in the health-focused research are intertwined with cognition and learning processes. This thematic review provides an overview of knowledge connecting the selected lifestyle factors of diet, physical activity, and sleep hygiene to children's cognition and learning. Research from studies of diet and nutrition, physical activity and fitness, sleep, and broader influences of cultural and socioeconomic factors related to health and learning, were summarized to offer examples of research that integrate lifestyle factors and cognition with learning. The literature review demonstrates that the associations and causal relationships between these factors are vastly understudied. As a result, current knowledge on predictors of optimal cognition and learning is incomplete, and likely lacks understanding of many critical facts and relationships, their interactions, and the nature of their relationships, such as there being mediating or confounding factors that could provide important knowledge to increase the efficacy of learning-focused interventions. This review provides information focused on studies in children. Although basic research in cells or animal studies are available and indicate a number of possible physiological pathways, inclusion of those data would distract from the fact that there is a significant gap in knowledge on lifestyle factors and optimal learning in children. In a climate where childcare and school feeding policies are continuously discussed, this thematic review aims to provide an impulse for discussion and a call for more holistic approaches to support child development.

Indexed as

Life StyleAdolescentChildChild Nutritional Physiological PhenomenaChild, PreschoolCognitionCultureDietExecutive FunctionExerciseHumansInfantInfant, NewbornLearningPhysical FitnessSleepchild nutritioncognitive functiondietdiversityexecutive functionfocus and concentrationhungerlearningphysical activitysocio-economic characteristics

Identifiers

PMID31434251
PMCPMC6723730

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.