{"id":382,"date":"2010-07-09T06:00:00","date_gmt":"2010-07-09T06:00:00","guid":{"rendered":""},"modified":"2015-10-02T23:26:50","modified_gmt":"2015-10-03T04:26:50","slug":"preschool-childrens-level-of-proficiency-in-motor-skills-and-the-level-of-their-physical-fitness-as-adolescents","status":"publish","type":"post","link":"https:\/\/thesportjournal.org\/article\/preschool-childrens-level-of-proficiency-in-motor-skills-and-the-level-of-their-physical-fitness-as-adolescents\/","title":{"rendered":"Preschool Children\u2019s Level of Proficiency in Motor Skills and the Level of their Physical Fitness as Adolescents"},"content":{"rendered":"
Michelle Reillo, Eric Vlahov, Judith Bohren, Margaret Leppo, and Diane Davis<\/div>\n

Full Title:<\/strong> A longitudinal study to determine and comprehend the relationship between preschool children\u2019s level of proficiency in motor skills and the level of their physical fitness as adolescents<\/p>\n

Abstract<\/h2>\n

The epidemic of pediatric obesity and associated health-related issues in America is correlated with sedentary behavior and physical inactivity. The purpose of this longitudinal research study was twofold: a) to determine if a relationship existed between the level of motor skill proficiency among children at preschool and the level of physical fitness in adolescence and b) to determine if the embedding of learned motor patterns associated with physical activity correlated with physical fitness longitudinally. In 1988, the Test of Gross Motor Development (TGMD), which assesses locomotor and object control skills, was administered to 140 preschool-aged children, ages 4 to 6 years, who were recruited purposively from two day care centers in a large metropolitan city. In 1999, the American Alliance for Health, Physical Education, Recreation, and Dance (AAHPERD) Fitness test, which has correlational validity with the TGMD (p < 0.01) and assesses cardiorespiratory, muscular\/strength, flexibility, and body composition, was administered to 140 of the original subjects, aged 14 to16 years. Data analysis was completed using multivariate statistical procedures. Results indicate that the level of proficiency in motor skills in early childhood is predictive and correlates with the level of physical fitness in adolescence (p < 0.001). Further, embedded motor patterns in the primary motor cortex can be physically assessed and correlate with the presence or absence of the targeted learning physical activity objectives. Physical activity in early childhood is positively correlated with physical fitness in adolescence, supporting the importance of pedagogical practices in physical education that promote the physiological and psychological embedding of behaviors which encourage physical activity. Future research is warranted to determine the relationship between physical fitness and cognitive development in children and adolescents.<\/p>\n

Key Words:<\/strong> Adolescent, Childhood, Fitness, Abilities
\n<\/p>\n

Introduction<\/h2>\n

According to the Centers for Disease Control (CDC), in the year 2000, 64% of adults in the United States were overweight, depicting an epidemic of individuals at risk for health-related issues associated with obesity (6). As stated in Healthy People 2010, young citizens are potentially vulnerable for becoming sedentary with progressive age and a goal of the United States is to improve the health, fitness, and quality of lives through participation in daily physical activity (7).<\/p>\n

Sedentary behavior is correlated with an increased incidence of cardio respiratory and endocrinologic disorders, including hyperlipedemia and Type II diabetes mellitus in children and adults (5). Immunologic dysfunction has likewise been associated with inactivity, and the reduction in the levels of circulating lymphocytes, particularly CD4 and CD8 cells, essential for the control of the development of malignancy, has been noted in sedentary patients (4). Eosinophilic proliferation, which is critical in the suppression of allergic reactions, has also been correlated with exercise (3). Further, hypokinetic activity is associated with the progression of cognitive and executive function decline in individuals with neurologic disorders such as Alzheimer\u2019s and multi-infarct brain syndrome (2). Minimal human research has been conducted regarding cognition and exercise in normative pediatric cohorts. However, animal research correlates increased neurogenesis and the proliferation of neuronal cells, components associated with increased memory and learning capabilities, with physical activity levels (8).<\/p>\n

The embedding of motor patterns in the primary motor cortex occurs in infancy and the repetition of rudimentary movements provides the foundation for the development of progressively more complex motor activities (1). Physiological attributes are associated with primary motor cortex development which naturally occurs throughout the human growth and development cycles (2). The literature is bereft of research which explores the relationship between early childhood physical activities and maintained physical fitness levels. The purpose of this longitudinal research study was twofold: a) to determine if a relationship existed between the level of motor skill proficiency among children at pre-school and the level of physical fitness in adolescence and, b) to determine if the embedding of learned motor patterns associated with physical activity correlated with physical fitness longitudinally.<\/p>\n

Methods<\/h2>\n

In 1988, the Test of Gross Motor Development (TGMD), which assesses locomotor and object control skills, was administered to 140 healthy preschool children, aged 4 to 6 years, who were purposively recruited from two day care centers in a large metropolitan city. In 1999, the AAHPERD fitness test, which has correlational validity with the TGMD (p < 0.01) and assesses cardiorespiratory, muscular\/strength, flexibility, and body composition, was administered to 140 of the original subjects, aged 14 to 16 years. Data analysis was completed using multivariate statistical procedures.<\/p>\n

Results<\/h2>\n

Results indicate that the level of proficiency in motor skills in early childhood is predictive and correlates with the level of physical fitness in adolescence (p < 0.001) (Tables 1-5). Specific physical attributes associated with locomotor and manipulative skills measured at baseline and in adolescence by the TGMD and AAHPERD indicate primary motor cortex development, evident in limb and forearm movement, muscle composition, and coordination required to longitudinally perform physical activities, such as running, skipping, galloping, etc. (Table 6). Development and progression of skill acquisition is individualized, requiring assessment and instruction relative to the child. Implications for curriculum development for the training of physical education professionals is suggested in light of the physiological and neurological aspects of skill development.<\/p>\n

Table 1
\nMeans of TGMD and AAHPERD Scores<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nMean<\/th>\nMales<\/th>\nFemales<\/th>\n<\/tr>\n<\/thead>\n
TGMD<\/th>\n<\/th>\n<\/tr>\n
Locomotor Skill<\/td>\n<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Raw<\/td>\n16.11<\/td>\n16.03<\/td>\n16.20<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Standardized<\/td>\n11.91<\/td>\n11.65<\/td>\n12.20<\/td>\n<\/tr>\n
Manipulative Skill<\/td>\n<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Raw<\/td>\n9.19<\/td>\n11.09<\/td>\n6.98<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Standardized<\/td>\n12.77<\/td>\n14.08<\/td>\n11.26<\/td>\n<\/tr>\n
Total<\/td>\n<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Raw<\/td>\n25.29<\/td>\n27.12<\/td>\n23.18<\/td>\n<\/tr>\n
\u00a0\u00a0\u00a0Standardized<\/td>\n24.68<\/td>\n25.73<\/td>\n23.46<\/td>\n<\/tr>\n
Age<\/td>\n4.8<\/td>\n4.84<\/td>\n4.77<\/td>\n<\/tr>\n
AAHPERD<\/th>\n<\/th>\n<\/tr>\n
Time to Run<\/td>\n80.93<\/td>\n66.70<\/td>\n97.35<\/td>\n<\/tr>\n
No. Sit-ups<\/td>\n46.40<\/td>\n51.53<\/td>\n40.48<\/td>\n<\/tr>\n
Flexibility Reach<\/td>\n33.47<\/td>\n32.20<\/td>\n34.94<\/td>\n<\/tr>\n
Triceps\/Body Comp.<\/td>\n13.06<\/td>\n9.20<\/td>\n17.51<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 2
\nLinear Regression: Time To Run 1.5 Miles<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nBeta<\/th>\nS.E.<\/th>\nR Sq.<\/th>\nP Value
\n(p < x)<\/th>\n<\/tr>\n<\/thead>\n
Total TGMD Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n136.23<\/td>\n5.45<\/td>\n0.44<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n-2.24<\/td>\n0.22<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Total TGMD Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n71.71<\/td>\n6.3<\/td>\n0.74<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n-0.87<\/td>\n0.18<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n2.35<\/td>\n0.19<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n108.13<\/td>\n5.49<\/td>\n0.16<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n-2.28<\/td>\n0.44<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n134.76<\/td>\n4.48<\/td>\n0.53<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n-0.76<\/td>\n0.27<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n2.72<\/td>\n0.17<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n134.76<\/td>\n4.48<\/td>\n0.53<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n-4.21<\/td>\n0.34<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n74.66<\/td>\n6.4<\/td>\n0.75<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n-1.74<\/td>\n0.34<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n2.18<\/td>\n0.2<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 3
\nLinear Regression Number Sit-ups<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nBeta<\/th>\nS.E.<\/th>\nR Sq.<\/th>\nP Value
\n(p < x)<\/th>\n<\/tr>\n<\/thead>\n
Total TGMD Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n7.88<\/td>\n2.61<\/td>\n0.63<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n1.56<\/td>\n0.10<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Total TGMD Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n26.11<\/td>\n401<\/td>\n0.70<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n1.17<\/td>\n0.12<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n-0.66<\/td>\n0.12<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n23.90<\/td>\n2.88<\/td>\n0.33<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n1.89<\/td>\n0.23<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n45.87<\/td>\n3.20<\/td>\n0.60<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n1.27<\/td>\n0.19<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n-1.11<\/td>\n0.12<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n12.90<\/td>\n2.42<\/td>\n0.60<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n2.62<\/td>\n0.18<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n29.32<\/td>\n4.43<\/td>\n0.65<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n1.95<\/td>\n0.23<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n-0.60<\/td>\n0.14<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 4
\nLinear Regression Flexibility \/ Reach<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nBeta<\/th>\nS.E.<\/th>\nR Sq.<\/th>\nP Value
\n(p < x)<\/th>\n<\/tr>\n<\/thead>\n
Total TGMD Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n14.73<\/td>\n2.03<\/td>\n0.39<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n0.76<\/td>\n0.08<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Total TGMD Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n9.08<\/td>\n3.41<\/td>\n0.41<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n0.88<\/td>\n0.10<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n0.21<\/td>\n0.10<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n18.63<\/td>\n1.70<\/td>\n0.38<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n1.25<\/td>\n0.14<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
LSS: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n20.21<\/td>\n2.43<\/td>\n0.38<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n1.20<\/td>\n0.15<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n-0.08<\/td>\n0.09<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n21.53<\/td>\n2.09<\/td>\n0.20<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n0.93<\/td>\n0.16<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
MSS Score: Body Composition<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n19.18<\/td>\n4.08<\/td>\n0.21<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n1.03<\/td>\n0.21<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Body Composition<\/td>\n0.09<\/td>\n0.13<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 5
\nLinear Regression: Triceps Once \/ Body Composition<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nBeta<\/th>\nS.E.<\/th>\nR Sq.<\/th>\nP Value
\n(p < x)<\/th>\n<\/tr>\n<\/thead>\n
Total TGMD Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n27.47<\/td>\n1.71<\/td>\n0.35<\/td>\n0.001<\/td>\n<\/tr>\n
Total TGMD<\/td>\n<\/td>\n<\/td>\n-0.58<\/td>\n0.07<\/td>\n<\/tr>\n
LSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n19.71<\/td>\n1.64<\/td>\n0.012<\/td>\n0.001<\/td>\n<\/tr>\n
LSS Score<\/td>\n<\/td>\n<\/td>\n-0.56<\/td>\n0.13<\/td>\n<\/tr>\n
MSS Score as Predictor<\/th>\n<\/th>\n<\/tr>\n
Intercept<\/td>\n27.56<\/td>\n1.40<\/td>\n0.45<\/td>\n0.001<\/td>\n<\/tr>\n
MSS Score<\/td>\n<\/td>\n<\/td>\n-1.14<\/td>\n0.11<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 6
\nPhysical Assessment and Corresponding Motor Cortex Development<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Skill<\/th>\nPrimary Motor Cortex Motor Areas (X1 strong, X2 moderate, X3 weak)<\/th>\n<\/tr>\n
<\/th>\nHips<\/th>\nKnees<\/th>\nAnkles<\/th>\nToes<\/th>\nShoulder<\/th>\nUpper Arm<\/th>\nElbow<\/th>\nForearm<\/th>\nWrist<\/th>\nDigits<\/th>\n<\/tr>\n<\/thead>\n
Running<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\n<\/tr>\n
Walking<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\n<\/tr>\n
Hopping<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\nX2<\/td>\n<\/tr>\n
Jumping<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX3<\/td>\nX3<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\n<\/tr>\n
Leaping<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\n<\/tr>\n
Sliding<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\nX2<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\n<\/tr>\n
Stationary
\nBouncing<\/td>\n		X3<\/td>\nX3<\/td>\nX3<\/td>\nX3<\/td>\nX2<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\n<\/tr>\n
Overhead
\nThrowing<\/td>\n		X1<\/td>\nX2<\/td>\nX3<\/td>\nX3<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX2<\/td>\n<\/tr>\n
Catching<\/td>\nX3<\/td>\nX3<\/td>\nX3<\/td>\nX3<\/td>\nX2<\/td>\nX2<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\nX1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Discussions and Conclusions<\/h2>\n

Physical activity in early childhood is positively correlated with physical fitness in adolescence, supporting the importance of pedagogical practices in physical education that promote the physiological and psychological embedding of behaviors which encourage physical activity. Further, physical assessment of attributes which correlate with primary motor cortex growth and development supports the presence or absence of embedded motor skills, supporting the need for tailoring specific lesson plans for motor cortex growth and development for individual learners. The development of assessment protocols and recommendations and educator training modules is warranted in light of the results of this research study.<\/p>\n

Applications in Sports<\/h2>\n

Comprehension of the cerebral function in motor skills development is essential for the physical educator. In the acquisition of motor skills which facilitate learning of particular sports, specific and associated movements and patterns correlate with motor cortex growth and development. Therefore, comprehension of the physiology and stage of motor skill is essential for coaches and physical educators to enhance individual and team performance.<\/p>\n

References<\/h2>\n

Fisher, A., Reilly, J. J., Kelly, L. A., Montgomery, C., Williamson, A., Paton J. Y., & Grant, S. (2005). Fundamental movement skills and habitual physical activity in young children. Medicine Science in Sports & Exercise 37(4): 684-688.<\/p>\n

Hillman, C., Erickson, K., Kramer, A. (2008). Be smart, exercise your heart: Exercise effects on brain and cognition. Nature Reviews Neuroscience 40 (1): 166-172.<\/p>\n

Leppo, M. (1978). Exercise: A facilitator in returning the body to homeostasis following stress as measured by a total white blood cell and eosinphil count. Dissertation Abstracts 39(6).<\/p>\n

Maini, M. K., Gilson, N, Chavada, S., Gill, A., Fakoya, E., (2008). Reference ranges and sources of variability of CD4 counts in HIV-seronegative women and men. Genitourinary Medicine 72(1): (27-31).<\/p>\n

McCloskey, M., Adamo, D., & Anderson, B. (2001). Exercise increases metabolic capacity in the motor cortex and striatum, but not the hippocampus. Brain Research 891(1): 168-175.<\/p>\n

Mokdad, A., Marks, J., Stroup, D., & Gerberding, J. (Centers for Disease Control). (2004). Actual causes of death in the United States, 2000. JAMA 291(1): 1238-1245.<\/p>\n

U.S. Department of Health and Human Services. (2000). Healthy People 2010. (2nd Edition). Washington, D.C.: U.S. Government Printing Office.<\/p>\n

Zhang, C., Yehusa, H., Weiman, G., Fried, H., & Evans, R. (2008). A role for adult TL4 positive neural cells in learning and behavior. Nature 21(1): 1004-1007.<\/p>\n

Corresponding Author<\/h2>\n

Michelle Reillo, RN, PhD: gasbear@aol.com<\/p>\n","protected":false},"excerpt":{"rendered":"

Michelle Reillo, Eric Vlahov, Judith Bohren, Margaret Leppo, and Diane Davis<\/div>\n

Full Title:<\/strong> A longitudinal study to determine and comprehend the relationship between preschool children\u2019s level of proficiency in motor skills and the level of their physical fitness as adolescents<\/p>\n

Abstract<\/h2>\n

The epidemic of pediatric obesity and associated health-related issues in America is correlated with sedentary behavior and physical inactivity. The purpose of this longitudinal research study was twofold: a) to determine if a relationship existed between the level of motor skill proficiency among children at preschool and the level of physical fitness in adolescence and b) to determine if the embedding of learned motor patterns associated with physical activity correlated with physical fitness longitudinally. In 1988, the Test of Gross Motor Development (TGMD), which assesses locomotor and object control skills, was administered to 140 preschool-aged children, ages 4 to 6 years, who were recruited purposively from two day care centers in a large metropolitan city. In 1999, the American Alliance for Health, Physical Education, Recreation, and Dance (AAHPERD) Fitness test, which has correlational validity with the TGMD (p < 0.01) and assesses cardiorespiratory, muscular\/strength, flexibility, and body composition, was administered to 140 of the original subjects, aged 14 to16 years. Data analysis was completed using multivariate statistical procedures. Results indicate that the level of proficiency in motor skills in early childhood is predictive and correlates with the level of physical fitness in adolescence (p < 0.001). Further, embedded motor patterns in the primary motor cortex can be physically assessed and correlate with the presence or absence of the targeted learning physical activity objectives. Physical activity in early childhood is positively correlated with physical fitness in adolescence, supporting the importance of pedagogical practices in physical education that promote the physiological and psychological embedding of behaviors which encourage physical activity. Future research is warranted to determine the relationship between physical fitness and cognitive development in children and adolescents.<\/p>\n

Key Words:<\/strong> Adolescent, Childhood, Fitness, Abilities<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_options":[]},"categories":[290,292,296],"tags":[23],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4btio-6a","jetpack-related-posts":[{"id":7065,"url":"https:\/\/thesportjournal.org\/article\/relative-age-effect-enhanced-physical-fitness-reference-standards-for-turkish-youths-who-live-in-istanbul\/","url_meta":{"origin":382,"position":0},"title":"Relative age effect-enhanced physical fitness reference standards for Turkish youths who live in Istanbul","date":"May 29, 2020","format":false,"excerpt":"Authors:\u00a0Nuri Topsakal Corresponding Author:Nuri Topsakal, PhDDuzce University Faculty of Sport Sciences,Department of Coaching Education, Istanbul, TurkeyMailing address: Duzce Universitesi Spor Bilimleri Fak\u00fcltesi Konuralp Yerle\u015fkesi\u00a0Merkez\/D\u00dcZCE81620Telephone: +90 544 308 25 03Fax: + 90 (380) 542 1365Email: topsakal.nuri@gmail.com Nuri Topsakal is an assistant professor for the University of D\u00fczce Faculty of Sport Science.\u2026","rel":"","context":"In "Research"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":54,"url":"https:\/\/thesportjournal.org\/article\/analysis-of-selected-physical-and-performance-attributes-of-the-united-states-olympic-team-handball-players-preliminary-study\/","url_meta":{"origin":382,"position":1},"title":"Analysis of Selected Physical and Performance Attributes of the United States Olympic Team Handball Players: Preliminary Study","date":"February 11, 2008","format":false,"excerpt":"Submitted by: Brian Bergemann, Ph.D. During the Spring of 1995, prior to the Olympic Games in Atlanta, the United States Team Handball team and coaches came to the United States Sports Academy in Daphne, AL for testing. Dr. Thomas P. Rosandich, president of the U.S. Team Handball Federation, and the\u2026","rel":"","context":"In "Sports Coaching"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8414,"url":"https:\/\/thesportjournal.org\/article\/rowing-performance-following-a-single-teaching-session-in-school-children\/","url_meta":{"origin":382,"position":2},"title":"Rowing Performance Following a Single Teaching Session in School Children","date":"November 25, 2022","format":false,"excerpt":"Authors: Giovanni Ficarra1, Fabio Trimarchi1, Alessandra Bitto2, Debora Di Mauro1 1Department of Biomedical and Dental Sciences and Morphological and Functional Sciences, 2Department of Clinical and Experimental Medicine, University of Messina, c\/o AOU Policlinico G. Martino, Via C. Valeria, Gazzi, 98125, Messina, Italy. Corresponding Author: Prof. Alessandra Bitto, MD, PhD Department\u2026","rel":"","context":"In "Sport Education"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/thesportjournal.org\/wp-content\/uploads\/2022\/11\/Table-1-Ficarro-2022.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":5488,"url":"https:\/\/thesportjournal.org\/article\/effects-of-early-sport-participation-on-self-esteem-and-happiness\/","url_meta":{"origin":382,"position":3},"title":"Effects of Early Sport Participation on Self-esteem and Happiness","date":"January 11, 2018","format":false,"excerpt":"Authors: Dr. Nandini Mathur Collins Dr. Fred Cromartie Dr. Stephen Butler Dr. John Bae Corresponding Author: Dr. Nandini Mathur Collins 59 Joyce Lane Wayne, NJ 07470 mathurn10@gmail.com 973-568-7021 Dr. Nandini Mathur Collins is an Adjunct Professor at William Paterson University and Southern New Hampshire University and she is also an\u2026","rel":"","context":"In "Sports Health & Fitness"","img":{"alt_text":"Table 1","src":"https:\/\/i0.wp.com\/thesportjournal.org\/wp-content\/uploads\/2018\/01\/Table-1-1.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":479,"url":"https:\/\/thesportjournal.org\/article\/physical-self-perception-profile-of-female-college-students-kinesiology-majors-vs-non-kinesiology-majors\/","url_meta":{"origin":382,"position":4},"title":"Physical Self-Perception Profile of Female College Students: Kinesiology Majors vs. Non-Kinesiology Majors","date":"November 21, 2012","format":false,"excerpt":"Jay Thornton and Kim KatoABSTRACTThe purpose of this study was to compare college student\u2019s Physical Self-Perception Profile (PSPP) (18) scores in female kinesiology majors and non-kinesiology majors. Participants included 68 female kinesiology majors and 88 female non-majors in a mid-sized university. The mean age for the kinesiology majors was 20.8\u2026","rel":"","context":"In "Contemporary Sports Issues"","img":{"alt_text":"Table 1","src":"https:\/\/i0.wp.com\/thesportjournal.org\/wp-content\/uploads\/2012\/11\/Table1.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":8156,"url":"https:\/\/thesportjournal.org\/article\/relationships-between-bmi-and-self-perception-of-adequacy-in-and-enjoyment-of-physical-activity-in-youth-following-a-physical-literacy-intervention\/","url_meta":{"origin":382,"position":5},"title":"Relationships Between BMI and Self-Perception of Adequacy in and Enjoyment of Physical Activity in Youth Following a Physical Literacy Intervention","date":"March 11, 2022","format":false,"excerpt":"Authors: Brandi M. Eveland-Sayers1, Andy R. Dotterweich1, Alyson J. Chroust2, Abigail D. Daugherty3, and Kara L. Boynewicz4 1Department of Sport, Exercise, Recreation & Kinesiology, East Tennessee State University, Johnson City, Tennessee2 Department of Psychology, East Tennessee State University, Johnson City, Tennessee3Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee,\u2026","rel":"","context":"In "General"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/posts\/382"}],"collection":[{"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/comments?post=382"}],"version-history":[{"count":2,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/posts\/382\/revisions"}],"predecessor-version":[{"id":1384,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/posts\/382\/revisions\/1384"}],"wp:attachment":[{"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/media?parent=382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/categories?post=382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thesportjournal.org\/wp-json\/wp\/v2\/tags?post=382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}