Literature DB >> 34212300

A Systematic Review on the Impact of Hot and Cool Executive Functions on Pediatric Injury Risks: a Meta-Analytic Structural Equation Modeling Approach.

Nayantara Kurpad1, David A Schena1, Jiabin Shen2, Yan Wang1.   

Abstract

Injury is a leading cause of morbidity and mortality among children in the USA. Understanding the impact of executive functions (EFs) on the risk of injuries is crucial for developing effective interventions. However, literature has failed to examine the relationship between multiple EFs and injury domains. The present paper quantitatively synthesized research on cool and hot EFs and children's intentional and unintentional injury risks using a novel meta-analytic structural equation modeling (MASEM) approach. A systematic review was conducted in the following databases: PsycINFO, Scopus, SafetyLit, Cochrane Central, and PubMed (Medline). After screening titles, abstracts, and full texts, a total of 31 studies were eligible for the MASEM analysis. One-stage MASEM was conducted on six conceptualized path analysis models according to the complexity of exogenous and endogenous variables. The MASEM models suggested that hot and cool EFs were negatively associated with children's risk of injury or injury-related risk behaviors regardless of mean age and proportion of females. Among cool EF skills, inhibitory control, but not working memory or cognitive flexibility, was significantly associated with risks of unintentional injuries. Emotion regulation was the dominant hot EF skill examined in the literature and was found significantly associated with risks of non-suicidal self-injuries (NSSIs). EF has a significant impact on children's risk of both unintentional and intentional injuries. Future research should focus on the combined force of hot and cool EF on children's risks of injuries and injury-related risk behaviors.
© 2021. Society for Prevention Research.

Entities:  

Keywords:  Executive function; MASEM; Meta-analysis; NSSI; Unintentional injury

Mesh:

Year:  2021        PMID: 34212300     DOI: 10.1007/s11121-021-01271-2

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  45 in total

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Authors:  Margaret S Andover; Blair W Morris
Journal:  Can J Psychiatry       Date:  2014-11       Impact factor: 4.356

2.  The influences of demographics and individual differences on children's selection of risky pedestrian routes.

Authors:  Benjamin K Barton; David C Schwebel
Journal:  J Pediatr Psychol       Date:  2006-06-25

3.  Adolescent risk-taking is predicted by individual differences in cognitive control over emotional, but not non-emotional, response conflict.

Authors:  Morgan Botdorf; Gail M Rosenbaum; Jamie Patrianakos; Laurence Steinberg; Jason M Chein
Journal:  Cogn Emot       Date:  2016-04-06

4.  Examining the impact of traffic environment and executive functioning on children's pedestrian behaviors.

Authors:  Benjamin K Barton; Barbara A Morrongiello
Journal:  Dev Psychol       Date:  2011-01

5.  Emotion Regulation Deficits and Nonsuicidal Self-Injury Prospectively Predict Suicide Ideation in Adolescents.

Authors:  Amy M Brausch; Sherry E Woods
Journal:  Suicide Life Threat Behav       Date:  2018-06-14

6.  Buffering social influence: neural correlates of response inhibition predict driving safety in the presence of a peer.

Authors:  Christopher N Cascio; Joshua Carp; Matthew Brook O'Donnell; Francis J Tinney; C Raymond Bingham; Jean T Shope; Marie Claude Ouimet; Anuj K Pradhan; Bruce G Simons-Morton; Emily B Falk
Journal:  J Cogn Neurosci       Date:  2015-01       Impact factor: 3.225

7.  The roles of age, gender, inhibitory control, and parental supervision in children's pedestrian safety.

Authors:  Benjamin K Barton; David C Schwebel
Journal:  J Pediatr Psychol       Date:  2007-04-18

Review 8.  Developmental Aspects of Unintentional Injury Prevention Among Youth: Implications for Practice.

Authors:  Benjamin K Barton; Jiabin Shen; Despina Stavrinos; Shane Davis
Journal:  Am J Lifestyle Med       Date:  2017-12-05

9.  metaSEM: an R package for meta-analysis using structural equation modeling.

Authors:  Mike W-L Cheung
Journal:  Front Psychol       Date:  2015-01-05

10.  Extending research on Emotion Regulation Individual Therapy for Adolescents (ERITA) with nonsuicidal self-injury disorder: open pilot trial and mediation analysis of a novel online version.

Authors:  Johan Bjureberg; Hanna Sahlin; Erik Hedman-Lagerlöf; Kim L Gratz; Matthew T Tull; Jussi Jokinen; Clara Hellner; Brjánn Ljótsson
Journal:  BMC Psychiatry       Date:  2018-10-11       Impact factor: 3.630

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2.  Next-Generation Meta-analysis for Next-Generation Questions: Introducing the Prevention Science Special Issue on Modern Meta-analytic Methods.

Authors:  G J Melendez-Torres
Journal:  Prev Sci       Date:  2021-12-21

3.  A Primer on Meta-Analytic Structural Equation Modeling: the Case of Depression.

Authors:  Jeffrey C Valentine; Mike W-L Cheung; Eric J Smith; Olivia Alexander; Jessica M Hatton; Ryan Y Hong; Lucas T Huckaby; Samantha C Patton; Patrick Pössel; Hayley D Seely
Journal:  Prev Sci       Date:  2021-10-28
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