The fus test: a promising tool for evaluating fundamental motor skills in children and adolescents

Fundamental motor skills (FMS) are essential for enjoyable, confident and skillful participation in physical activity across the lifespan. Due to the alarming low level of FMS proficiency in children and adolescents worldwide, the development of motor competency is an urgent issue for physical education. The promotion and implementation of a systematic process of teaching and learning FMS should be a physical education priority. Accordingly, effective assessment tools for evaluating FMS should be adopted or developed. Because FMS assessment for both children and adolescents need further effective solutions, the primary aim of this study was to develop the new age-related test of FMS (Fundamental Motor Skills in Sport test, in Polish: Test Fundamentalnych Umiejętności Ruchowych w Sporcie, FUS). The secondary aim of this study was to establish validity and inter-rater, intra-rater, test-retest reliabilities and internal consistency of the FUS test. The FUS test involves six sport skill-based tasks: hurdling, jumping rope, forward roll, ball bouncing, throwing and catching a ball, and kicking and stopping a ball. Two hundred sixty-four Polish students in grades 1-3 (7-9 yrs; n = 81), 4-6 (10-12 yrs; n = 89) and 7-8 (13-14 yrs; n = 94), including 139 girls and 125 boys completed the FUS test. The content validity index for all items was notably high. Both inter-rater and intra-rater reliability showed substantial to almost perfect agreement, with observed agreements for FUS skills between 78.5 and 93.1%. Ball bouncing had a moderate correlation with the forward roll and throwing and catching, while other correlations were low or insignificant. ICC values, ranging from 0.95 to 0.97, confirmed excellent test-retest reliability. The results of our study provide evidence that the FUS test is valid, reliable, and feasible to administer in school settings. Therefore, this tool test has the potential to support deliberate practice and improve motor competence by providing a standardized and structured approach to measuring FMS among school-aged children and adolescents.

Test of Gross Motor Development-3: Item Difficulty and Item Differential Functioning by Gender and Age with Rasch Analysis

The assessment of motor proficiency is essential across childhood to identify children’s strengths and difficulties and to provide adequate instruction and opportunities; assessment is a powerful tool to promote children’s development. This study aimed to investigate the hierarchal order of the Test of Gross Motor Development-Third Edition (TGMD-3) items regarding difficulty levels and the differential item functioning across gender and age group (3 to 5, 6 to 8, and 9 to 10 years old). Participants are 989 children (3 to 10.9 years; girls n = 491) who were assessed using TGMD-3. For locomotor skills, appropriate results reliability (alpha = 1.0), infit (M = 0.99; SD = 0.17), outfit (M = 1.18; SD = 0.64), and point-biserial correlations (rpb values from 0.14 to 0.58) were found; the trend was similar for ball skills: reliability (alpha = 1.0), infit (M = 0.99; SD = 0.13), outfit (M = 1.08; SD = 0.52); point-biserial correlations (rpb values from 0.06 to 0.59) were obtained. Two motor criteria: gallop, item-1, and one-hand forehand strike, item-4, were the most difficult items; in contrast, run, item-2, and two-hand catch, item-2, were the easiest items. Differential item functioning for age was observed in nine locomotor and ten ball skills items. These items were easier for older children compared to younger ones. The TGMD-3 has items with different difficulty levels capable of differential functioning across age groups.

mHealth Intervention for Motor Skills: A Randomized Controlled Trial

BACKGROUND AND OBJECTIVES

Children's motor skills are a critical foundation for physical activity. The objective was to determine the effectiveness and feasibility of a mobile app-based intervention delivered to parents to improve preschoolers' motor skills.

METHODS

This randomized controlled trial randomly assigned children to : (1) Motor Skills, including instructional lessons, peer modeling videos, behavioral scaffolding, and structured activities or 2) Free Play. Both groups received a 12-week app-based intervention informed by social cognitive theory to deliver 12 hours (12-minutes per day, 5× per week) of instruction. The children were aged 3 to 5 y; parents and children had no mobility impairments. The primary outcome variables were children's motor skills percentile score assessed with the Test of Gross Motor Development, third edition (TGMD-3) at baseline, end-of-intervention (week 12), and follow-up (week 24); and feasibility and acceptability.

RESULTS

Seventy-two children (4.0 ± 0.8 y) participated. Between baseline and week 12, children in the Motor Skills condition significantly improved total TGMD-3 percentile (+13.7 Motor Skills vs -5.3 Free Play, P < .01), locomotor skills percentile (+15.5 Motor Skills vs -4.8 Free Play, P < .01), and ball skills percentile (+8.3 Motor Skills vs -7.3 Free Play, P < .01) compared with children in the comparator group. Significant differences were sustained at follow-up (week 24). Adherence did not significantly differ between conditions (71% for Motor Skills; 87% for Free Play). Parents in both arms reported high scores on satisfaction, helpfulness, and ease of use.

CONCLUSIONS

Clinicians and educators may encourage parents to enhance their child's motor skills through structured at-home programs.

Test of Gross Motor Development–3 Validity and Reliability: A Screening Form

Background: The Test of Gross Motor Development–3 (TGMD-3) is used to assess locomotor (LOCS) and ball (BS) skills in children. This test provides relevant information for evaluating learning and determining teaching efficacy. However, conducting and coding the test is time consuming. A screening form may improve its usage in specific settings and populations. Purpose: This study aimed to develop a screening form for the TGMD-3-SF and examine its validity and reliability. Method: We assessed 1,192 3-to-10-year-old children; 772 children completed the TGMD-3 and 420 the TGMD-3-SF; 114 children were retested for temporal stability and 300 for criterion validity. Results: We found appropriate results for the two-factors model, LOCS (gallop, hop, and skip) and BS (one-hand strike, kick, and overhand throw), RMSEA = .025, comparative-fit index = .99, and Tukey–Lewis index = .99; internal consistency (LOCS, α = .60; BS, α = .71); item validity (LOCS, r = .43, p < .001; BS, r = .47, p < .001); interrater (ICC = .86–.99), intrarater (ICC = .61–.92), test–retest (LOCS, ICC = .87; BS, ICC = .78) reliability, and concurrent validity (LOCS, r = .89, p < .01; BS, r = .90, p < .001). Conclusions: The TGMD-3-SF is valid and reliable for assessing children’s gross motor development.

TGMD-3 short version: Evidence of validity and associations with sex in Irish children

This study examined the internal structure and evidence of validity of the Test of Gross Motor Development 3^rd edition (TGMD-3) in primary school aged children. Participants (n = 1608, 47% girls, age range 5-11 years, mean age 9.2 ± 2.04) were recruited from Irish schools across twelve counties (56% rural, 44% urban). The TGMD-3 was used to measure FMS proficiency (Ulrich, 2020). A two-factor model (13 skills) was used and confirmatory indexes were calculated. The Bayesian criteria and the Composite Reliability were employed to evaluate alternative models. Relationships between the final model proposed with age, sex and BMI were calculated using a network analysis. Mplus 8.0 and Rstudio were used. A two-factor model (locomotion and object control) with adequate values (> 0.30) for the seven skills (gallop, hop, jump, two-hand strike, bounce, catch, overhand throw) presented excellent indexes. The skills with the highest indicator of strength centrality in the network were bounce and catch for both boys and girls and hop for boys and horizontal jump for girls. This study evidences the validity and reliability of the internal structure of the TGMD-3 and demonstrates that a short version of the TGMD-3, comprising seven skills is a valid measure of FMS in this population.

Early Environmental and Biological Influences on Preschool Motor Skills: Implications for Early Childhood Care and Education

Early motor skills underpin the more complex and specialized movements required for physical activity. Therefore, the design of interventions that enhance higher levels of early motor skills may encourage subsequent participation in physical activity. To do so, it is necessary to determine the influence of certain factors (some of which appear very early) on early motor skills. The objective of this study was to examine the influence of some very early environmental variables (delivery mode, feeding type during the first 4 months of life) and some biological variables (sex and age in months) on preschool motor skills, considered both globally and specifically. The sample was composed by 43 preschool students aged 5-6 years. The participant's parents completed an ad hoc questionnaire, reporting on delivery mode, feeding type, sex, and age in months. The children's motor skills were assessed using observational methodology in the school setting, while the children participated in their regular motor skills sessions. A Nomothetic/Punctual/Multidimensional observational design was used. Results revealed that certain preschool motor skills were specifically influenced by delivery mode, feeding type, sex, and age. Children born by vaginal delivery showed higher scores than children born via C-section in throwing (p = 0.000; d = 0.63); total control of objects (p = 0.004; d = 0.97); total gross motor skills (p = 0.005; d = 0.95); and total motor skills (p = 0.002; d = 1.04). Children who were exclusively breastfed outperformed those who were formula-fed in throwing (p = 0.016; d = 0.75); visual-motor integration (p = 0.005; d = 0.94); total control of objects (p = 0.002; d = 1.02); total gross motor skills (p = 0.023; d = 0.82); and total motor skills (p = 0.042; d = 0.74). Boys outperformed girls in throwing (p = 0.041; d = 0.74) and total control of objects (p = 0.024; d = 0.63); while the opposite occurred in static balance (p = 0.000; d = 1.2); visual-motor coordination (p = 0.020; d = 0.79); and total fine motor skills (p = 0.032; d = 0.72). Older children (aged 69-74 months) obtained higher scores than younger ones (aged 63-68 months) in dynamic balance (p = 0.030; d = 0.66); visual-motor integration (p = 0.034; d = 0.63); and total balance (p = 0.013; d = 0.75). Implications for early childhood care and education are discussed since this is a critical period for motor skill development and learning.

TGMD-2 Short Version: Evidence of Validity and Associations With Sex, Age, and BMI in Preschool Children

Aim: To analyze the evidence of validity and reliability of the Test of Gross Motor Development, Second Edition (TGMD-2) for low-income preschoolers; and to investigate the associations between the final model with sex, age, and body mass index (BMI). Methods: 368 preschoolers (3–5 years old [M = 4.80, SD = 0.48]; 176 boys) located in deprived areas were assessed for anthropometric measures and motor competence via the TGMD-2. A two-factor model (12 skills) was used and confirmatory indexes were calculated. The Bayesian criteria and the Composite Reliability were employed to evaluate alternative models. Relationships between the final model proposed with age, sex, and BMI were calculated using a network analysis (Mplus 8.0; Rstudio). Results: A two-factor model (locomotion and object control) with adequate values (>0.30) for the six skills (gallop, leap, slide, strike, throw, and roll) presented excellent indexes. Relationships between sex and throwing (r = −.22), and strike (r = −.21), indicated better performance for boys. Positive relationships were found for age with slide (r = 0.23) and hop (r = 0.28), and for BMI with throw (r = 0.18). Conclusion: Validity of a TGMD-2 short version for low-income preschoolers was present. The machine learning analysis to associate fundamental movement skills with gender, age, and BMI seems useful to optimize future interventions.