Predictor Selection Using Lasso to Examine the Association of Motor Proficiency, Postural Control, Visual Efficiency, and Behavior With the Academic Skills of Elementary School-Aged Children

in Journal of Motor Learning and Development
View More View Less
  • 1 University of Louisville
Restricted access

Purchase article

USD  $24.95

Student 1 year online subscription

USD  $42.00

1 year online subscription

USD  $56.00

Student 2 year online subscription

USD  $80.00

2 year online subscription

USD  $107.00

The associations between motor proficiency, postural control, and visual efficiency with teacher and parent ratings of children’s behavior and academic skills were examined among a sample of elementary school-aged children (N = 50). Teacher and parent ratings of students’ academic skills were analyzed separately to examine the predictive nature of measures of motor proficiency. Spearman rank order correlations reported low to moderate relationships between motor proficiency, postural control, and children’s behavior (e.g., ADHD inattention) and academic skills. The least absolute shrinkage and selection operator (lasso) procedure is demonstrated as an approach for variable selection of measures of children’s motor proficiency, postural control, and visual efficiency to predict academic skills. For teacher and parent ratings of academic skills, ADHD symptom of inattention was the strongest model predictor, whereas directional control (postural control) was also a predictor for parent ratings. Study findings shed light on practical and methodological factors associated with motor skills in educational contexts.

Immekus is with the Department of Educational Leadership, Evaluation, & Organizational Development, University of Louisville, Louisville, KY. Muntis and Terson de Paleville are with the Department of Health and Sport Sciences, University of Louisville, Louisville, KY.

Terson de Paleville (dtdepa01@louisville.edu) is corresponding author.
  • Babyak, M. (2004). What you see may not be what you get: A brief, non-technical introduction to overfitting in regression-type models. Psychosomatic Medicine, 66, 411421. PubMed ID: 15184705 doi:10.1097/01.psy.0000127692.23278.a9

    • Search Google Scholar
    • Export Citation
  • Bayles, M., & Swank, A. (2018). Special considerations and physical activity recommendations for children and youth. In M. Bayles& A. Swank (Eds.), ACSM’s exercise testing and prescrption (1st ed., pp. 154155). Philadelphia, PA: Wolters Kluwer.

    • Search Google Scholar
    • Export Citation
  • Bruininks, R., & Bruininks, B. (2005). Bruininks-Oseretsky test of motor proficiency. Minneapolis, MN: NCS Pearson.

  • Budde, H., Voelcker-Rehage, C., Pietraßyk-Kendziorra, S., Ribeiro, P., & Tidow, G. (2008). Acute coordinative exercise improves attentional performance in adolescents. Neuroscience Letters, 441(2), 219223. PubMed ID: 18602754 doi:10.1016/j.neulet.2008.06.024

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burns, G., Alves de Moura, M., Beauchaine, T., & McBurnett, K. (2014). Bifactor latent structure of ADHD/ODD symptoms: Predictions of dual-pathway/trait-impulsivity etiological models of ADHD. Journal of Child Psychology and Psychiatry, 55(4), 393401. PubMed ID: 24795957 doi:10.1111/jcpp.12165

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burns, G., Becker, S., Servera, M., Bernad, M., & García-Banda, G. (2017). Sluggish cognitive tempo and Attention-Deficit/Hyperactivity Disorder (ADHD) Inattention in the home and school contexts: Parent and teacher invariance and cross-setting validity. Psychological Assessment, 29(2), 209220. PubMed ID: 27148788 doi:10.1037/pas0000325

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burns, G., Servera, M., Bernad, D., Carrillo, J., & Geiser, C. (2014). Ratings of ADHD symptoms and academic impairment by mothers, fathers, teachers, and aides: Construct validity within and across settings as well as occasions. Psychol Assess, 26(4), 12471258. PubMed ID: 24932644 doi:10.1037/pas0000008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burns, G., Taylor, T., & Rusby, J. (2001a). Child and adolescent disruptive behavior inventory 2.3: Parent version. Pullman, WA: Washington State University, Department of Psychology.

    • Search Google Scholar
    • Export Citation
  • Burns, G., Taylor, T., & Rusby, J. (2001b). Child and adolescent disruptive behavior inventory 2.3: Teacher version. Pullman, WA: Washington State University, Department of Psychology.

    • Search Google Scholar
    • Export Citation
  • Burns, G., Walsh, J., Gomez, R., & Hafetz, N. (2006). Measurement and structural invariance of parent ratings of ADHD and ODD symptoms across gender for American and Malaysian children. Psychological Assessment, 18(4), 452457. PubMed ID: 17154767 doi:10.1037/1040-3590.18.4.452

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cameron, C.E., Cottone, E.A., Murrah, W.M., & Grissmer, D.W. (2016). How are motor skills linked to children’s school performance and academic achievement? Child Development Perspectives, 10(2), 9398. doi:10.1111/cdep.12168

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carlson, J., Engelberg, J.K., Cain, K.L., Conway, T.L., Mignano, A.M., Bonilla, E.A., … Sallis, J.F. (2015). Implementing classroom physical activity breaks: Associations with student physical activity and classroom behavior. Preventive Medicine, 81, 6772. doi:10.1016/j.ypmed.2015.08006

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carson, V., Hunter, S., Kuzik, N., Gray, C.E., Poitras, V.J., Chaput, J.P., … Tremblay, M.S. (2016). Systematic review of sedentary behaviour and health indicators in school-aged children and youth: An update. Appl Physiol Nutr Metab, 41(6 Suppl. 3), S240S265. PubMed ID: 27306432 doi:10.1139/apnm-2015-0630

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chaddock-Heyman, L., Erickson, K., Kienzler, C., King, M., Pontifex, M., Raine, L., … Kramer, A. (2015). The role of aerobic fitness in cortical thickness and mathematics achievement in preadolescent children. PLoS One, 10(8). doi:10.1371/journal.pone.0134115

    • Search Google Scholar
    • Export Citation
  • Chung, A.S., Skinner, A.C., Steiner, M.J., & Perrin, E.M. (2012). Physical activity and BMI in a nationally representative sample of children and adolescents. Clinical Pediatrics (Phila), 51(2), 122129. doi:10.1177/0009922811417291

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cohen, J., Cohen, P., West, S., & Aiken, L. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Hoboken, NJ: Lawrence Erlbaum Associates.

    • Search Google Scholar
    • Export Citation
  • Da Silva Pacheco, S., Gabbard, C., Ries, L., & Bobbio, T. (2016). Interlimb coordination and academic performance in elementary school children. Pediatrics International, 58(10), 967973. doi:10.1111/ped.12972

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Donnelly, J., & Lambourne, K. (2011). Classroom-based physical activity, cognition, and academic achievement. Preventive Medicine, 52(Suppl. 1), S36S42. doi:10.1016/j.ypmed.2011.01.021

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Efron, B., & Stein, C. (1981). The jacknife estimate of variance. The Annals of Statistics, 9(3), 586596. doi:10.1214/aos/1176345462

  • Ericsson, I. (2008). Motor skills, attention and academic achievements. An intervention study in school years 1–3. British Educational Research Journal, 34(3), 301313. doi:10.1080/01411920701609299

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Esteban-Cornejo, I., Martinez-Gomez, D., Garcia-Cervantes, L., Ortega, F., Delgado-Alfonso, A., Castro-Piñero, J., & Veiga, O. (2017). Objectively measured physical activity during physical education and school recess and their associations with academic performance in youth: The UP&DOWN study. Journal of Physical Activity and Health, 14(4), 275282. PubMed ID: 28032803 doi:10.1123/jpah.2016-0192

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Esteban-Cornejo, I., Tejero-González, C., Martinez-Gomez, D., Cabanas-Sánchez, V., Fernández-Santos, J., Conde-Caveda, J., … Veiga, O. (2014). Independent and combined influence of the components of physical fitness on academic performance in youth. Journal of Pediatrics, 165(2), 306312. PubMed ID: 24952710 doi:10.1016/j.jpeds.2014.04.044

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Evenson, K., Ballard, K., Lee, G., & Ammerman, A. (2009). Implementation of a school-based state policy to increase physical activity. Journal of School Health, 79(5), 231238. doi:10.1111/j.1746-1561.2009.00403.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Finch, W., & Hernandez-Finch, M. (2016). Regularization methods for fitting linear models with small sample sizes: Fitting the Lasso estimator using R. Practical Assessment, Research & Evaluation, 21(7). http://pareonline.net/getvn.asp?v=21&n=7

    • Search Google Scholar
    • Export Citation
  • Gallaway, M., & Mitchell, G. (2010). Validity of the VERA visual skills screening. Optometry - Journal of the American Optometric Association, 81(11), 571579. PubMed ID: 21035746 doi:10.1016/j.optm.2010.07.024

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Geldhof, E., Cardon, G., De Bourdeaudhuij, I., Danneels, L., Coorevits, P., Vanderstraeten, G., & De Clercq, D. (2006). Static and dynamic standing balance: Test-retest reliability and reference values in 9 to 10 year old children. European Journal of Pediatrics, 165(11), 779786. doi:10.1007/s00431-006-0173-5

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goldstand, S., Koslowe, K., & Parush, S. (2005). Vision, visual-information processing, and academic performance among seventh- grade schoolchildren: A more significant relationship than we thought? The American Journal of Occupational Therapy, 59(4), 377389. doi:10.5014/ajot.59.4.377

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grisham, J., Sheppard, M., & Tran, W. (1993). Visual symptoms and reading performance. Optometry and Vision Science, 70(5), 384391. PubMed ID: 8515967 doi:10.1097/00006324-199305000-00008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Haapala, E., Väistö, J., Lintu, N., Westgate, K., Ekelund, U., Poikkeus, A., … Lakka, T. (2017). Physical activity and sedentary time in relation to academic achievement in children. Journal of Science Medicine in Sport, 20(6), 583589. doi:10.1016/j.jsams.2016.11.003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoerl, A., & Kennard, R. (1970). Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12, 5567. doi:10.2307/1267351

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoerl, A., & Kennard, R. (1988). Ridge regression. In S. Kotz,N.L. Johnson (Eds.) Encyclopedia of statistical sciences (Vol. 8). New York, NY: Wiley.

    • Search Google Scholar
    • Export Citation
  • Knight, D., & Rizzuto, T. (1993). Relations for children in grades 2, 3, and 4 between balance skills and academic achievement. Perceptual and Motor Skills, 76(3), 12961298.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lambourne, K., Hansen, D., Szabo, A., Lee, J., Herrmann, S., & Donnelly, J. (2013). Indirect and direct relations between aerobic fitness, physical activity and academic achievement in elementary school students. Mental Health and Physical Activity, 6, 165171. PubMed ID: 25984236 doi:10.1016/j.mhpa.2013.06.002

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Leopold, D., Christopher, M., Burns, G., Becker, S., Olson, R., & Willcutt, E. (2016). Attention-deficit/hyperactivity disorder and sluggish cognitive tempo throughout childhood: Temporal invariance and stability from preschool through ninth grade. Journal of Child Psychology and Psychiatry, 57(9), 10661074. doi:10.1111/jcpp.12505

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Luo, Z., Jose, P.E., Huntsinger, C.S., & Pigott, T.D. (2007). Fine motor skills and mathematics achievement in East Asian American and European American kindergartners and first graders. British Journal of Developmental Psychology, 25(4), 595614. doi:10.1348/026151007X185329

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Maples, W. (2003). Visual factors that significantly impact academic performance. Optometry - Journal of the American Optometric Association, 74(1), 3549. PubMed ID: 12539891

    • Search Google Scholar
    • Export Citation
  • Marques, A., Santos, D., Hillman, C., & Sardinha, L. (2017). How does academic achievement relate to cardiorespiratory fitness, self-reported physical activity and objectively reported physical activity: A systematic review in children and adolescents aged 6–18 years. British Journal of Sports Medicine, 52(16):1039. doi:10.1136/bjsports-2016-097361

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McNeish, D. (2015). Using lasso for predictor selection and to assuage overfitting: A method long overlooked in behavioral sciences. Multivariate Behavioral Research, 50(5), 471484. PubMed ID: 26610247 doi:10.1080/00273171.2015.1036965

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rasberry, C.N., Lee, S.M., Robin, L., Laris, B.A., Russell, L.A., Coyle, K.K., & Nihiser, A.J. (2011). The association between school-based physical activity, including physical education, and academic performance: A systematic review of the literature. Preventive Medicine, 52(Suppl 1), S10S20. doi:10.1016/j.ypmed.2011.01.027

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Silva, A.P., Prado, S.O., Scardovelli, T.A., Boschi, S.R., Campos, L.C., & Frere, A.F. (2015). Measurement of the effect of physical exercise on the concentration of individuals with ADHD. PLoS One, 10(3), e0122119. PubMed ID: 25803290 doi:10.1371/journal.pone.0122119

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Son, S.-H., & Meisels, S.J. (2006). The relationship of young children’s motor skills to later reading and math achievement. Merrill-Palmer Quarterly, 52(4), 755778. doi:10.1353/mpq.2006.0033

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Suarez-Manzano, S., Ruiz-Ariza, A., De La Torre-Cruz, M., & Martínez-López, E. (2018). Acute and chronic effect of physical activity on cognition and behaviour in young people with ADHD: A systematic review of intervention studies. Research in Developmental Disability, 3(77), 1223. doi:10.1016/j.ridd.2018.03.015

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Syväoja, H., Kantomaa, M., Ahonen, T., Hakonen, H., Kankaanpää, A., & Tammelin, T. (2013). Physical activity, sedentary behavior, and academic performance in Finnish children. Medicine & Science in Sports & Exercise, 45(11), 20982104. doi:10.1249/MSS.0b013e318296d7b8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B, 58, 267288. doi:10.1111/j.1467-9868.2011.00771.x

    • Search Google Scholar
    • Export Citation
  • Tremblay, M.S., LeBlanc, A.G., Kho, M.E., Saunders, T.J., Larouche, R., Colley, R.C., … Connor Gorber, S. (2011). Systematic review of sedentary behaviour and health indicators in school-aged children and youth. The International Journal of Behavioral Nutrition and Physical Activity, 8, 98. PubMed ID: 21936895 doi:10.1186/1479-5868-8-98

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Trudeau, F., & Shephard, R.J. (2008). Physical education, school physical activity, school sports and academic performance. The International Journal of Behavioral Nutrition and Physical Activity, 5, 10. PubMed ID: 18298849 doi:10.1186/1479-5868-5-10

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zou, H., & Hastie, T. (2005). Regularization and variable selection via the Elastic net. Journal of the Royal Statistical Society, Series B, 67(2), 301320. doi:10.1111/j.1467-9868.2005.00503.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zou, H., Hastie, T., & Tibshirani, R. (2007). On the “degrees of freedom” of the lasso. The Annals of Statistics, 35, 21732192. doi:10.1214/009053607000000127

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 225 225 49
Full Text Views 6 6 0
PDF Downloads 6 6 0