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BMC Pediatrics
Published in: BMC Pediatrics 1/2021

Open Access 01-12-2021 | Research article

Development of cardiorespiratory fitness standards for working memory using receiver operating curves in 15-year-old adolescents

Authors: Vinícius Muller Reis Weber, Daniel Zanardini Fernandes, Leonardo Alex Volpato, Maria Raquel de Oliveira Bueno, Marcelo Romanzini, Jose Castro-Piñero, Enio Ricardo Vaz Ronque

Published in: BMC Pediatrics | Issue 1/2021

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Abstract

Background

Working memory performance is associated with better academic achievements in children and adolescents, and it is positively related to CRF. However, what level of cardiorespiratory fitness (CRF) discriminates higher working memory performance is not known. The purpose of this study was to identify CRF thresholds linked to working memory in adolescents.

Methods

Data of 141 adolescents (53.2 % girls) were collected (14.9 years) from a cross-sectional study during the year 2019. CRF was assessed by the 20-m shuttle run test, and maximal oxygen uptake was calculated using the Mahar´s equation. Working memory was evaluated by the Corsi blocks test and performance was classified by percentiles. Receiver operating characteristic (ROC) curve analysis was used to identify CRF thresholds.

Results

The ROC analysis indicated that CRF could be used to discriminate working memory in adolescents. CRF thresholds of ≥45.03 ml.kg− 1.min− 1for boys and ≥36.63 ml.kg− 1.min− 1for girls were found to be indicative of “normal” working memory performance.

Conclusions

CRF could discriminate low and normal working memory performance in 14-16- year-old adolescents. These thresholds could allow for earlier identification and intervention of low working memory performance using CRF.
Literature
1.
Donnelly JE, Hillman CH, Castelli D, Etnier JL, Lee S, Tomporowski P, Lambourne K, Szabo-Reed AN. Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children. Med Sci Sport Exerc. 2016;48:1197–222.CrossRef
2.
Howie EK, Pate RR. Physical activity and academic achievement in children: A historical perspective. J Sport Heal Sci. 2012;1:160–9.CrossRef
3.
de Greeff JW, Bosker RJ, Oosterlaan J, Visscher C, Hartman E. Effects of physical activity on executive functions, attention and academic performance in preadolescent children: a meta-analysis. J Sci Med Sport. 2018;21:501–7.CrossRef
4.
5.
Hillman CH, Erickson KI, Kramer AF. Be smart, exercise your heart: exercise effects on brain and cognition.(SCIENCE AND SOCIETY)(Report). Nat Rev Neurosci. 2008;9:58.CrossRef
6.
Chaddock L, Pontifex MB, Hillman CH, Kramer AF. A review of the relation of aerobic fitness and physical activity to brain structure and function in children. J Int Neuropsychol Soc. 2011;17:975–85.CrossRef
7.
Best JR, Miller PH, Naglieri JA. Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learn Individ Differ. 2011;21:327–36.CrossRef
8.
Van der Niet AG, Hartman E, Smith J, Visscher C. Modeling relationships between physical fitness, executive functioning, and academic achievement in primary school children. Psychol Sport Exerc. 2014;15:319–25.CrossRef
9.
Cowan N. Working Memory Underpins Cognitive Development, Learning, and Education. Educ Psychol Rev. 2014;26:197–223.CrossRef
10.
Mora-Gonzalez J, Esteban-Cornejo I, Cadenas-Sanchez C, Migueles JH, Rodriguez-Ayllon M, Molina-García P, Hillman CH, Catena A, Pontifex MB, Ortega FB. Fitness, physical activity, working memory, and neuroelectric activity in children with overweight/obesity. Scand J Med Sci Sport. 2019;29:1352–63.CrossRef
11.
de Bruijn AGM, Hartman E, Kostons D, Visscher C, Bosker RJ. Exploring the relations among physical fitness, executive functioning, and low academic achievement. J Exp Child Psychol. 2018;167:204–21.CrossRef
12.
Hansen DM, Herrmann SD, Lambourne K, Lee J, Donnelly JE. Linear/nonlinear relations of activity and fitness with children’s academic achievement. Med Sci Sports Exerc. 2014;46:2279–85.CrossRef
13.
Ruiz JR, Cavero-Redondo I, Ortega FB, Welk GJ, Andersen LB, Martinez-Vizcaino V. Cardiorespiratory fitness cut points to avoid cardiovascular disease risk in children and adolescents; What level of fitness should raise a red flag? A systematic review and meta-analysis. Br J Sports Med. 2016;50:1451–8.CrossRef
14.
Lang JJ, Tremblay MS, Ortega FB, Ruiz JR, Tomkinson GR. Review of criterion-referenced standards for cardiorespiratory fitness: what percentage of 1 142 026 international children and youth are apparently healthy? Br J Sports Med. 2019;53:953–8.CrossRef
15.
Welk GJ, Laurson KR, Eisenmann JC, Cureton KJ. Development of youth aerobic-capacity standards using receiver operating characteristic curves. Am J Prev Med. 2011;41:93–9.CrossRef
16.
Ruiz JR, Huybrechts I, Cuenca-García M, et al. Cardiorespiratory fitness and ideal cardiovascular health in European adolescents. Heart. 2015;101:766–73.CrossRef
17.
Chaddock L, Hillman CH, Buck SM, Cohen NJ. Aerobic fitness and executive control of relational memory in preadolescent children. Med Sci Sports Exerc. 2011;43:344–9.CrossRef
18.
19.
Chaddock L, Hillman CH, Pontifex MB, Johnson CR, Raine LB, Kramer AF. Childhood aerobic fitness predicts cognitive performance one year later. J Sports Sci. 2012;30:421–30.CrossRef
20.
Kamijo K, Takeda Y, Takai Y, Haramura M. The relationship between childhood aerobic fitness and brain functional connectivity. Neurosci Lett. 2016;632:119–23.CrossRef
21.
22.
Harrison GG, Buskirk ER, Carter LJE, Johston FE, Lohman TG, Pollock ML, et al. Skinfold thicknesses and measurement technique. In: Lohman TG, Roche AF, Martorell R, editors. Anthr. Stand. Ref. Man. Champaign: Human Kinetics Books; 1988. pp. 55–70.
23.
Léger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. 1988;6:93–101.CrossRef
24.
Mahar MT, Guerieri AM, Hanna MS, Kemble CD. Estimation of aerobic fitness from 20-m multistage shuttle run test performance. Am J Prev Med. 2011;41:117–23.CrossRef
25.
Kessels RPC, van Zandvoort MJE, Postma A, Kappelle LJ, de Haan EHF. The Corsi Block-Tapping Task: Standardization and Normative Data. Appl Neuropsychol. 2000;7:252–8.CrossRef
26.
Corsi PM. (1973) Human memory and the medial temporal region of the brain. 34:891.
27.
Orsini A. Corsi’s Block-Tapping Test: Standardization and Concurrent Validity with WISC—R for Children Aged 11 to 16. Percept Mot Skills. 1994;79:1547–54.CrossRef
28.
Lezak MD, Howieson DB, Bigler ED, Tranel D. Neuropsychological assessment. 5th ed. New York: Oxford University Press; 2012.
29.
Wittberg RA, Northrup KL, Cottrel L. Children’s physical fitness and academic performance. Am J Heal Educ. 2009;40:30–6.CrossRef
30.
Scudder MR, Lambourne K, Drollette ES, Herrmann SD, Washburn RA, Donnelly JE, Hillman CH. Aerobic capacity and cognitive control in elementary school-age children. Med Sci Sports Exerc. 2014;46:1025–35.CrossRef
31.
Scudder MR, Drollette ES, Szabo-Reed AN, Lambourne K, Fenton CI, Donnelly JE, Hillman CH. Tracking the Relationship Between Children’s Aerobic Fitness and Cognitive Control. Heal Psychol. 2016;35:967–78.CrossRef
32.
Kamijo K, Pontifex MB, O’Leary KC, Scudder MR, Wu CT, Castelli DM, Hillman CH. The effects of an afterschool physical activity program on working memory in preadolescent children. Dev Sci. 2011;14:1046–58.CrossRef
33.
Vuontela V, Steenari MR, Carlson S, Koivisto J, Fjällberg M, Aronen ET. Audiospatial and visuospatial working memory in 6–13 year old school children. Learn Mem. 2003;10:74–81.CrossRef
34.
Gennatas ED, Avants BB, Wolf DH, Satterthwaite TD, Ruparel K, Ciric R, Hakonarson H, Gur RE, Gur RC. Age-related effects and sex differences in gray matter density, volume, mass, and cortical thickness from childhood to young adulthood. J Neurosci. 2017;37:5065–73.CrossRef
35.
Haapala EA, Lintu N, Väistö J, et al. Longitudinal Associations of Fitness, Motor Competence, and Adiposity with Cognition. Med Sci Sports Exerc. 2019;51:465–71.CrossRef
36.
Tomkinson GR, Lang JJ, Tremblay MS, Dale M, Leblanc AG, Belanger K, Ortega FB, Léger L. International normative 20 m shuttle run values from 1 142 026 children and youth representing 50 countries. Br J Sports Med. 2017;51:1545–54.CrossRef
37.
Casey BJ, Giedd JN, Thomas KM. Structural and functional brain development and its relation to cognitive development. Biol Psychol. 2000;54:241–57.CrossRef
38.
Khan NA, Hillman CH. The Relation of Childhood Physical Activity and Aerobic Fitness to Brain Function and Cognition: A Review. Pediatr Exerc Sci. 2014;26:138–46.CrossRef
39.
Chaddock L, Erickson KI, Prakash RS, et al. A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain Res. 2010;1358:172–83.CrossRef
40.
Ortega FB, Campos D, Cadenas-Sanchez C, Altmäe S, Martínez-Zaldívar C, Martín-Matillas M, Catena A, Campoy C. (2017) Physical fitness and shapes of subcortical brain structures in children. Br J Nutr 1–10.
41.
Hillman CH, Pontifex MB, Motl RW, O’Leary KC, Johnson CR, Scudder MR, Raine LB, Castelli DM. From ERPs to academics. Dev Cogn Neurosci. 2012;2:90–8.CrossRef
42.
Hillman CH, Castelli DM, Buck SM. Aerobic fitness and neurocognitive function in healthy preadolescent children. Med Sci Sports Exerc. 2005;37:1967–74.CrossRef
43.
Bunge SA, Wright SB. Neurodevelopmental changes in working memory and cognitive control. Curr Opin Neurobiol. 2007;17:243–50.CrossRef
Metadata
Title
Development of cardiorespiratory fitness standards for working memory using receiver operating curves in 15-year-old adolescents
Authors
Vinícius Muller Reis Weber
Daniel Zanardini Fernandes
Leonardo Alex Volpato
Maria Raquel de Oliveira Bueno
Marcelo Romanzini
Jose Castro-Piñero
Enio Ricardo Vaz Ronque
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2021
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-021-02681-5

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