Percentile curves for Brazilian children evaluated with the Bruininks-Oseretsky Test of Motor Proficiency, 2nd edition

Luciana Ferreira; José Luiz Lopes Vieira; Francielli Ferreira da Rocha; Pâmela Norraila da Silva; Francielle Cheuczuk; Priscila Caçola; Raquel Nichele de Chaves

doi:10.1590/1980-0037.2020v22e65027

Autores/as

Luciana Ferreira State University of Parana http://orcid.org/0000-0001-5808-2334
José Luiz Lopes Vieira State University of Parana https://orcid.org/0000-0003-0453-8185
Francielli Ferreira da Rocha State University of Parana https://orcid.org/0000-0001-7866-6070
Pâmela Norraila da Silva State University of Parana https://orcid.org/0000-0001-7277-6084
Francielle Cheuczuk State University of Parana https://orcid.org/0000-0003-2691-5412
Priscila Caçola State University of Parana https://orcid.org/0000-0003-2713-5733
Raquel Nichele de Chaves State University of Parana https://orcid.org/0000-0001-6244-2080

DOI:

https://doi.org/10.1590/1980-0037.2020v22e65027

Resumen

This study aimed to (1) create percentile curves and norms for the eight subtests of the Bruininks-Oseretsky Test of Motor Proficiency, 2^nd edition (BOT-2) for 6- to 10-year-old Brazilian children and to (2) compare them to the values of the original test manual. To that, we tested a sample of 931 Brazilian children (477 girls, 454 boys) with ages between 6 to 10 with the BOT-2 assessment. The LMS method was used to generate the percentile curves and normative values, with the LMSchartmaker Pro software version 2.54. Results demonstrate that girls had significantly higher scores for the fine motor precision, fine motor integration, manual dexterity and balance subtests, while boys had significantly higher scores on upper-limb coordination, running speed and agility, and the strength subtests. The findings also indicated higher values for the Brazilian group in the subtests of bilateral coordination, running speed and agility, balance, and upper-limb coordination when compared to the North American normative sample. The percentile curves illustrate the increase in motor proficiency levels as age increases, with different trajectories for each subtest. Future studies should continue the investigation of cultural norms and appropriate assessments for the Brazilian population. Here, the creation of percentile curves and norms that are better suited for the Brazilian population can significantly help with assessment and intervention for motor development in distinct settings and with typical and atypical school-age children.

Citas

Gabbard C. Lifelong motor development. San Francisco: Pearson; 2008.

Robinson LE, Stodden DF, Barnett LM, Lopes VP, Logan SW, Rodrigues LP, D’Hondt E. Motor competence and its effect on positive developmental trajectories of health. Sports Med 2015;45:1273–84.

Chaves RN, Tani G, Souza MC, Baxter-Jones A, Maia J. Desempenho coordenativo de crianças: construção de cartas percentílicas baseadas no método LMS de Cole e Green. Rev bras educ fís esporte 2013;27(1):1–17.

Valentini NC, Ramalho MH, Oliveira MA. Movement assessment battery for children-2: translation, reliability, and validity for Brazilian children. Res Dev Disabil 2014;35:733–40

Wuang Y, Lin Y, Su C. Rasch analysis of the Bruininks-Oseretsky test of motor proficiency-second edition in intellectual disabilities. Res Dev Disabil 2009;30(1):1132–44.

Bruininks R, Bruininks B. Bruininks–Oseretsky test of motor proficiency, second edition. Minneapolis: NCS Pearson; 2005.

Cools W, Martelaer K, Samaey C, Andries C. Movement skill assessment of typically developing preschool children: A review of seven movement skill assessment tools. J Sports Sci Med 2009; 8(1):154–68.

Pan H, Cole TJ. A comparison of goodness of fit tests for age-related reference ranges. Stat Med 2004;23(1):1749–65.

Buuren S, Fredriks M. Worm plot: a simple diagnostic device for modelling growth reference curves. Stat Med 2001;20(1):1259–77.

Vidal SM, Bustamante A, Lopes VP, Seabra A, Silva RG, Maia JA. Construção de cartas centílicas da coordenação motora de crianças dos 6 aos 11 anos da Região Autónoma dos Açores, Portugal. Rev port ciênc desporto 2008;9(1):24–35.

Valdívia AB, Lara R, Espinoza CB, Pomahuacre SQ , Ramos GR, Seabra A. Prontitud coordinativa: Perfiles multivariados en función de la edad, sexo y estatus socio-económico. Rev port ciênc desporto 2008; 8(1):34–46.

Logan SW, Robinson LE, Wilson AE, Lucas WA. Getting the fundamentals of movement: A meta-analysis of the effectiveness of motor skill interventions in children. Child Care Health Dev 2011; 38(1):305–15.

Guedes DP. Crescimento e desenvolvimento aplicado à educação física e ao esporte.Rev bras educ fís esporte 2011;25(1):127–40.

Clark JE, Metcalfe J. The mountain of motor development: A metaphor. In: Clark JE, Humphrey J, organizers. Motor development: Research and reviews. Reston, VA: NASPE Publications; 2002. p. 163–190.

Miyabayashi LA, Pimentel GGA. Interações sociais e proficiência motora emescolares do ensino fundamental. Rev bras educ fís esporte 2011;25(1):649–62.

Venetsanou F, Kambas A. Motor proficiency in young children: A closer look at potential gender differences. Sage Open 2016; 6(1):1–10.

Mülazimoğlu-Balli Ö. Motor proficiency and body mass index of preschool children: In relation to socioeconomic status. Journal of Education and Training Studies 2016;4(1):237–43.

Chui MMY, Ng AMY, Fong AKH, Lin LSY, Ng MWF. Differences in the fine motor performance of children in Hong Kong and the United States on the Bruininks-Oseretsky Test of Motor Proficiency. Hong Kong J Occup Ther 2017;17(1):1–9.

Morley D, Till K, Ogilvie P, Turner G. Influences of gender and socioeconomic status on the motor proficiency of children in the UK. Hum Mov Sci 2015;44:150–56.

Valentini NC, Oliveira MA, Pangelinan MM, Whitall J, Clark JE. Can the MABC discriminate and predict motor impairment? A comparison of Brazilian and North American children. Int J Rehabil Res 2017;24(1):1–27.

Marques A, Ekelund U, Sardinha LB. Associations between organized sports participation and objectively measured physical activity, sedentary time and weight status in youth. J Sci Med Sport 2016;19(1):154–57.

Hebert JJ, Moller NC, Andersen LB, Wedderkopp N. Organized sport participation is associated with higher levels of overall health-related physical activity in children (CHAMPS Study-DK). PLoS One 2015;10(1):e0134621.

Spessato BC, Gabbard C, Robinson L, Valentini NC. Body mass index, perceived and actual physical competence: the relationship among young children. Child Care Health Dev 2013;39(1):845–50.

Cherney ID, Lond K. Gender-linked differences in the toys, television shows, computer games, and outdoor activities of 5- to 13-year-old children. Sex Roles 2006;54(1):717–26.

Telama R, Yang X. Decline of physical activity from youth to young adulthood in Finland. Med Sci Sports Exerc 2000; 32(1):1617–22.

Singer DG, Singer JL, D’agostino H, Delong R. children’s pastimes and play in sixteen nations is free-play declining? Am J Play 2009;1:283–312.

Valentini NC, Clark JE, Whitall J. Developmental co-ordination disorder in socially disadvantaged Brazilian children Child Care Health Dev 2014;41(1):970–79.

Bardid F, De Meester A, Tallir I, Cardon G, Lenoir M, Haerens L. Configurations of actual and perceived motor competence among children: Associations with motivation for sports and global self-worth. Hum Mov Sci 2016;50(1):1–9.

Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med 1992;11(1):1305-19.

Percentile curves for Brazilian children evaluated with the Bruininks-Oseretsky Test of Motor Proficiency, 2nd edition

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