Abstract
Objectives: This review quantitatively evaluates the effectiveness of gross-motor-based interventions in children with developmental coordination disorder (DCD), examining treatment aspects such as group interventions, therapy duration, and frequency. Methods: A systematic literature review, spanning January 2010 to December 2022, identified 11 relevant articles involving 492 children. Results: Positive outcomes were observed, with a moderate to large overall effect size (Cohen’s d) indicating significant improvements in motor function through strategies emphasizing activity, bodily function, games, and small group events. Notably, interventions targeting complex motor skills were crucial for enhancing preparedness and activity engagement, improving fitness, and preventing obesity in children with DCD. Conclusions: The review underscores the effectiveness of activity-oriented and body-function-focused therapies in enhancing motor skills and functioning, emphasizing the need for interventions aligned with real-world activities. Future research should explore the long-term effects and retention of motor improvements, offering valuable insights for designing targeted interventions to promote overall well-being in children with DCD.
1. Introduction
Developmental coordination disorder (DCD) poses significant challenges for children, affecting their daily activities due to difficulties in the physical, cognitive, social, and psychological domains []. Impaired motor coordination, below age-related expectations as per DSM-5, leads to challenges in executing tasks like catching objects, handwriting, or engaging in sports [,]. This disorder influences play, academic achievement, and early development stages, impacting motor network functioning, cognitive/motor integration, and voluntary gaze control during movement []. Despite these difficulties, DCD is distinct from intellectual or neurological impairments []. Children with DCD are characterized by delays in motor skills development, clumsiness, slowness, and the improper performance of everyday tasks [].
Among school-aged children, DCDs have a prevalence rate of 5–6%, and they commonly co-occur with other disorders such as autism spectrum disorder (ASD) or attention deficit/hyperactivity disorder (ADHD) [,,]. A significantly greater rate of DCD was observed in school-age children who were born very premature (less than 32 weeks) or with a low birth weight (less than 1500 g) than in age-matched controls [,,]. Very preterm birth, being small for the gestational age, independent walking by 15 months or later, and being male were the most commonly reported risk factors in a Danish cohort study []. In a study conducted in England, DCD risk factors included difficulties with attention, social communication, repetition of nonwords, spelling, and reading []. Children with DCD have been found to be at an increased risk of anxiety and depression [], overweight or obesity [,], limited physical fitness [], and the hypermobility of joints []. In a recent study, it was found that socioeconomic level and school play space were associated with physical activity level and body mass index for children with DCD [].
Children with DCD may experience motor deficits as a result of impaired mirror neuron function. Researchers believe that a decreased activation of mirror neurons may result in less ability to represent and imitate movements internally. According to Reynolds et al. [], there may be a minimal underactivation of the mirror neuron system in adults and children suffering from DCD. In the process of visual–motor integration, voluntary eye movement control contributes significantly to cognitive function, especially in motor planning and movement prediction. Children with DCD may experience motor coordination difficulties due to this integration [,].
It has been observed that DCD suffers from deficits in executive function across the areas of inhibition control, visual and verbal working memory, and executive attention. Several measures of dual-tasking, including manual and locomotor tasks, have shown significant costs associated with dual-tasking in children with DCD [,]. The issue of motor variability arises frequently in DCD research. Multiple studies of gait and reaching have demonstrated that children with DCD have a much higher degree of variability in their motor performances, expressed in their topography, kinematics, and kinetics data. There was a pattern of slower and more careful gait patterns, as indicated by shorter step lengths, a reduced velocity, and increased sway on disturbing surfaces [,].
The early identification of DCD in infancy is crucial, as 50% of affected children persist into adolescence and early adulthood []. This review consolidates 15 years of research, categorizing DCD interventions into “Task-Oriented” and “Process-Oriented”. Physical and occupational therapy aims to enhance balance and gross and fine motor skills, preventing secondary issues from inactivity [] and improving daily functioning and social participation. To develop effective interventions, it is, therefore, crucial to understand the underlying causes of the motor difficulties associated with DCD.
Thus, the study aimed to evaluate the efficacy of gross-motor-based interventions in children with DCD, focusing on treatment aspects such as group interventions, therapy duration, and frequency; additionally, to evaluate interventions targeting complex motor skills in enhancing preparedness and activity engagement, improving fitness, and preventing obesity among children with DCD; and to support the development of practical and research-based treatments for children with DCD to improve their overall functioning in daily life and enhance their social involvement.
2. Materials and Methods
2.1. Search Strategy
In this study, a systematic review was conducted with reporting according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) []. PROSPERO, a global prospective registry for systematic reviews, received the study’s registration number (CRD42022362016). A comprehensive literature search strategy was employed to identify relevant studies evaluating the efficacy of gross-motor-based interventions for children with DCD from January 2010 to December 2022. The search was conducted across multiple electronic databases to ensure a thorough examination of the available literature. PubMed, Cochrane database, Scopus, and PEDro databases were explored, with no limit on article type. The terms included in the search were “developmental coordination disorder” or “motor training”, “DCD” or “gross motor training”, and “DCD” or “physical exercises” or “fine motor training”. Boolean logical operators (OR, AND, NOT) were used to join phrases.
2.2. Selection Criteria
The review selection criteria included: (1) studies on the motor outcomes of therapy for children or adolescents with DCD, including single-case experimental design studies and randomized clinical trials (RCTs); (2) intervention studies aiming to enhance motor abilities, activities, and participation outcomes; (3) children and adolescents aged 4–18 years diagnosed with DCD; and (4) children and adolescents who have received motor intervention. Interventions aimed at developing motor skills or motor development are referred to as motor interventions. All studies were available in full text, and each review article was evaluated separately for comparison. Inclusion and exclusion criteria are presented in Table 1.
Table 1.
Inclusion and exclusion criteria of the included studies.
2.3. Reviewing Procedure and Data Extraction
Two experienced researchers skilled in literature reviews, independently selected, evaluated, extracted data, and appraised the studies for its validity. Reliability between the two researchers were tested prior to the reviewing procedure. Initial screening involved reviewing titles and abstracts, excluding unrelated studies. The researcher then re-evaluated chosen articles against eligibility standards. Additional unpublished data were obtained from study authors, including authors, publication dates, intervention details (if specified), critical components, and target population. Information on intervention providers, setting, intensity, research design, and original findings for various outcomes was also gathered. Interventions for the same diagnostic groups were grouped based on comparable titles and critical components. All analyzed papers provided the necessary published data for addressing research questions. The PRISMA flow diagram for study selection is presented in Figure 1.
Figure 1.
PRISMA 2020 flow diagram for the identification of the studies included in the systematic review.
2.4. Methodological Quality Assessment
The internal validity of selected articles was assessed using the PEDro scale “https://pedro.org.au” (accessed on 23 January 2024) [,]. Based on 11 items, this scale estimates the internal and external validity of an RCT. Items include eligibility criteria, random allocation, concealment of allocation, group similarity at baseline, blinding of subjects, blinding of therapists, blinding of assessors, availability of key outcome measures in over 85% of participants, intention-to-treat analysis, comparisons between groups, point measures, and variability measures. With the exception of item 1, which assesses the generalizability, one point is awarded if each of the criteria is met. The maximum score is 10 points and a score of “1” is assigned for a positive response and “0” for a negative response. The cumulative score is derived by adding all affirmative answers, excluding the first item related to external validity assessment. The evaluation was conducted independently by the authors, with disagreements resolved through consensus.
2.5. Data Synthesis and Analysis
Due to study heterogeneity, the varied data types (such as dichotomous and continuous) impede effective measurement. Diverse outcomes among samples prevent statistical result combination. After retrieving articles, duplicates were removed from multiple databases. Titles, keywords, and abstracts of downloaded citations were examined, and paper versions meeting criteria were studied. Independent data extraction, utilizing a sheet, was conducted. Thematic analysis and narrative synthesis organized information into tables for clarity. Synthesizing findings thematically, we adopted Thomas and Harden’s (2008) strategy [], initially reading studies to create codes reflecting diverse ideas in the data. The iterative process of adding, merging, or changing codes allowed us to build new codes and translate concepts. Specific codes were grouped (into clusters) based on shared or disagreed-upon characteristics, forming descriptive themes. Subgroup and sensitivity analyses were conducted based on outcome assessment and severity.
Customized excel spreadsheet was employed to record study characteristics, including population details, participants, design, mean age, gender, and assessment time. Sensitivity analysis assessed the impact of selectively excluding studies on pooled prevalence. The study’s methods covered study design, motor tests, co-occurring diagnoses, treatment session duration, frequency, and length. Interventions, categorized by emphasis on body function, activity, and participation, included comparison, actual, or control groups. Outcomes were assessed at pre-intervention, post-intervention, and follow-up, with specific measurements summarized. For motor outcomes, we computed the effect size (Cohen’s d) [] for each study at all time points for the primary motor measure. The effect size expresses the magnitude of the effect of the intervention regardless of statistical significance. Cohen suggests d = 0.2 is a small effect, d = 0.5 is a medium effect, and d = 0.8 is a large effect size.
3. Results
3.1. Studies’ Charactristics
The characteristics of the included studies (11 study) are presented in Table 2. The study design varied across the included studies, with randomized and quasi-randomized clinical trials being the most common study design. One study was a pilot feasibility study and another one used a mixed method design. The number of participants ranges from 9 participants to 161 participants. The majority of studies recruited children with a mean age of seven years. The demographical characteristics of the studies included about the author, country, study design, number of participants, age, and time of assessment are given in Table 2.
Table 2.
Demographic characteristics of articles addressing the use of motor training among children with DCD.
3.2. Quality Studies
A quality assessment of each study with PEDro scoring is given in Table 3. All the included studies in this review reported the eligibility criteria, measured at least one key outcome measure, and provided a measure of variability. Only one study scored 10 on the PEDro scale and one study scored 5 on the PEDro scale, indicating a relatively weaker study design []. Only one study [] applied the blinding of all subjects, indicating a reduced bias in the included studies.
Table 3.
Methodological quality assessment of included studies for review via PEDro scale.
3.3. Summary of Included Studies
Involving 492 children with DCD and control peers, eleven studies demonstrated improvements in motor skills through gross-motor-based therapy (Table 4). Post-treatment, the MABC-2 total standard score significantly increased (p = 0.02), particularly in the balance subcategory (p = 0.01). Overall, early childhood motor skills showed improvement, with mean percentile scores ranging from the probable DCD level (5th percentile) to advanced performance (27th percentile). According to the MABC-2 statistics, six specific youngsters notably elevated their performance levels [].
Table 4.
Presentation of articles according to objectives, motor training intervention, results, and conclusion regarding motor training among children with DCD.
3.4. Task-Oriented Activities and Motor Performance
The within-group analysis revealed that task-oriented and core stability substantially improved in both the percentile rank and motor proficiency standard score after eight weeks of task-specific and core stability intervention sessions (p = 0.010). The task-oriented group’s composite equilibrium score significantly increased (p = 0.009) during an 8-week training session []. Children with DCD may re-weight their relatively standard somatosensory input for balance control through task-specific balance training (DCD: somatosensory ratio = 0.95–0.96 vs. normal: somatosensory ratio = 0.96–0.97). As a result, certain aspects of their functional balance performance, such as their stability when standing on one leg, may be enhanced []. Moreover, improvement in performance and happiness with child-selected goals was evident in another study investigating the efficacy of a summer camp in achieving functional motor goals. A task-specific cognitive intervention improves self-reported measures of functional motor goals [].
In a different study, children with and without DCD were randomly assigned to a 3-month Taekwondo (TKD) intervention group or a control group to assess the effects of TKD on muscle strength and postural control. Over three months, children in the DCD-TKD group attended weekly one-hour TKD training sessions. A typical TKD training session includes warm-up, stretching, punching and blocking in the horse-riding stance, break, kicking in the fighting stance, and a cool-down and stretching period. An isokinetic dynamometer measured the concentric strength of the dominant leg’s knee extensors and knee flexors at three different speeds (60°/s, 180°/s, and 240°/s). Five maximal concentric contractions were recorded to analyze the knee extensors and flexors, and the average values of these five peak torques of each movement velocity were determined. The researchers found that both children with and without DCD had similar isokinetic peak torque measures for the knee flexors and extensors at different test speeds before receiving TKD instruction. In children with DCD following TKD training, the measurements of the isokinetic peak torque (at 180°/s) of the knee extensors and flexors increased by 25.4% and 33.6%, respectively [].
3.5. Fundamental Skills and Physical Exercise
Children with DCD demonstrated poorer motor learning, particularly in repeated task components, suggesting challenges in implicit motor-learning environments. Visual analysis favored an external focus of attention for typically developing children over those with DCD, although statistical significance was lacking []. Following an error-reduced learning approach in task-oriented motor skill training, the DCD experimental group outperformed the control group in self-perceived physical competence (SPC) and fundamental movement skills (FMS) at the post-test. Short-term FMS training showed the potential to enhance skills and self-perception, and alleviate sleep issues in children with DCD [].
3.6. Active Video Game and Motor Skills
Children with DCD who undertook a 16-week home-based Active Video Game (AVG) intervention saw an exponential improvement in their physical abilities but no improvement in their motor skills []. An integrated perceived competence and motor intervention impacted children’s motor performance and improved over time, F (2, 58) = 6.07, p = 0.004. After 12 therapy sessions, a post hoc analysis revealed that the children’s motor performance in the two groups had improved (p = 0.005) [], and consistent usage of the Wii Fit revealed a substantial increase in children’s motor abilities []. The Taekwondo program increased the isokinetic knee muscle strength after eight weeks of training. They also got better after six weeks of exercise, agility, and running. Furthermore, playing games with others in a group, offline and online, can improve adherence over the long and short term []. Table 5 lists the effect sizes of the relevant outcome measures.
Table 5.
Studies employing MABC-2, BOT (short form of subtests), or TGMD-2, means ± standard deviations, and effect sizes with 90% confidence intervals are listed with pre- and post-test values.
3.7. Analysis of Risk of Bias
The risk of bias was assessed using Review Manager 5.4.1 (The Cochrane Collaboration, 2020), finding that the blinding of outcome assessors and the concealment of the allocation in random item sequences were significant risks. Some biases and insufficient information also caused significant risks in the trials in which the authors failed to mention these procedures. The study methods and primary outcomes were disclosed in detail, but items reporting the selected results and random sequence creation had a low risk of bias (Figure 2).
Figure 2.
Risk of bias (RoB) traffic light plot of each individual study included (A), and weighted plot to assess overall RoB (B) via the Cochrane RoB tool (n = 11 studies). Green circles report low RoB, red circles report high RoB, and blue circles report insufficient information on RoB [,,,,,,,,,,].
4. Discussion
The current review examined the efficacy of gross-motor-based interventions in children with DCD, specifically examining aspects of treatment such as group interventions, therapy duration, and frequency of therapy. Additionally, it evaluated interventions that targeted complex motor skills to enhance activity engagement and fitness, and prevent obesity and inactivity. Overall, we identified 11 studies using gross-motor-based interventions in 492 children with DCD and their control peers (aged 5 to 11 years). Among the included studies, one was a pilot study and nine were randomized or quasi-randomized trials. Only one study scored a 10 on the PEDro scale and six studies scored 7 points or less, indicating that the design of the studies was relatively weak. To analyze movement performance in children with DCD, the Movement Assessment Battery for Children was the most commonly used outcome measure. Using robust study designs, this research provides information about recent advances in the field. The use of strategies such as playground and sports-related skill training, as well as virtual reality (VR) training, is growing []. Collaborative efforts among parents, guardians, and healthcare experts are crucial in order to restrict screen time and ensure physical health.
4.1. DCD and Motor Activities
Delayed motor skill development, a key feature of DCD, is evident from the research []. Motor-learning alterations, specifically trial-and-error mechanisms, contribute to these delays, refining commands through successive tries [,]. Children with DCD face learning deficits, struggling to adjust behavior based on past errors, potentially linked to the impaired activation of the cortical–cerebellar circuitry []. This circuitry, crucial for trial-and-error motor learning, shows deficits according to fMRI studies []. Deficient internal representations of actions, per the internal modeling deficiency hypothesis [], hinder learning, emphasizing the importance of accurate action predictions in motor skill development.
4.2. Goal-Oriented Activities in DCD
The strength of the evidence varied from modest to good in assessing interventions for DCD. Studies consistently showed significant improvements in standardized motor function assessments, with a trend towards activity-focused training for play- and sports-specific skills. However, none explored the impact on well-being or increased engagement in sports or physical activity. Additionally, no study considered the influence of age, severity, or co-occurring disorders on intervention effectiveness.
4.3. Neuromotor Task Training (NTT)
Activity-oriented approaches, including Neuromotor Task Training (NTT), focus on task-specific therapies, consistently improving gross motor abilities and bodily functions. Tailoring therapies to specific tasks enhances results, particularly for children with DCD. Physiotherapy-based motor skill training effectively addresses gross motor issues, and Neurodevelopmental Treatment (NDT) benefits delicate-motor-skill-related problems []. Encouraging an active lifestyle, providing instruction in fundamental sports abilities, and incorporating activity-oriented training, such as NDT, sports/play-related skill training, and VR training, enhance essential physical fitness and functional strength. These approaches mitigate long-term health risks associated with poor motor coordination, such as weight gain and cardiovascular disorders [].
4.4. Active Video Game Intervention
AVG-based training has shown promise in improving balance activities in children with DCD, but its effectiveness in transferring to routine activities remains uncertain. Recent studies show modest improvements in practical tasks like getting out of a chair and climbing stairs. Further research is needed on treatment limits and skill transfer from virtual to real-world outcomes, aligning with the internal modeling insufficiency theory [].
This review recommends regular assistance in transfers for children diagnosed with DCD, with a substantial maximum impact (d = 1.06) on norm-referenced exams. Although there were variances in outcomes, the effect size was moderate (>0.50) to substantial (>0.80) in 11 interventions. No significant differences were observed between RCTs or CCTs. Interventions focusing on bodily function and activity positively impacted children with DCD. However, caution is urged in interpreting results due to variable methodological quality and broad confidence intervals in some studies. Positive effects on motor function and ability are noted, but cautious interpretation is advised given the diverse methodological quality and broad confidence intervals in some studies.
The review emphasizes the importance of incorporating measurements of activity and involvement patterns in assessing treatment outcomes. It suggests using activity-oriented tactics linked to real-world activities for children, and prioritizing body functions that support vital tasks like running and sprinting, to provide a comprehensive picture of intervention influence.
The research emphasizes how critical it is to integrate evidence-based gross motor interventions into pediatric DCD clinical practice. The results can be used by medical professionals, such as pediatric occupational and physical therapists, to guide their treatment plans and customize interventions to each child with DCD’s unique needs. Teachers and school administrators can use the study’s findings to support the inclusion of gross-motor-based interventions in learning environments. To support children with developmental disabilities in their motor development and functional abilities, physical education programs can include strategies like task-specific therapies and activity-oriented training. The results of the study can be used to support the increased funding for early detection and intervention programs for children with DCD by decision-makers in the fields of healthcare and education. Policies can help improve outcomes for children with DCD and lessen the disorder’s long-term social and financial burden by giving priority to access to evidence-based interventions.
4.5. Limitations and Future Recommendations
Several limitations are presented in this study. Although the study included studies with strong study designs such as RCTs and CCTs, there is one pilot study included which recruited a small sample size. The review included 11 studies, which is a limited number of studies compared to the recently published meta-analysis []. Although their meta-analysis was more generic and included different aspects of DCD, our systematic review focused only on gross-motor-based intervention. Our review captured the studies from 2010, which means that published studies prior to this year were not included. The review found that the bias likelihood estimation in these trials does not consider factors promoting motor development in children with DCD. The analysis also highlighted the importance of assessing the consistency of outcomes beyond determining if the intervention produced a statistically significant effect. Future research should focus on long-term effects, comparative effectiveness studies, personalized interventions, functional outcomes, underlying mechanisms, digital and VR interventions, cost-effectiveness analyses, parental involvement, and the transition of children with DCD to adolescence and adulthood.
5. Conclusions
The review emphasizes tailoring instruction for daily tasks and environments of children with DCD, suggesting even brief training periods can benefit daily living skills. However, gross motor skill studies need improvement, and long-term effects and retention investigations are essential. Motor skill development progress is indicated by the task time and specificity []. Support from parents, instructors, and friends is crucial for skill practice. Body-function and activity-oriented therapies, combined with functional tasks, enhance learning complex motor skills. A child’s readiness for life activities depends on developing skills in areas of interest, boosting physical fitness, and preventing obesity.
Author Contributions
Conceptualization, M.A.; methodology, A.I.A.; validation, A.I.A.; formal analysis, M.A. and A.I.A.; investigation, M.A. and A.I.A.; resources, M.A.; data curation, A.I.A.; writing—original draft, M.A. and A.I.A.; writing—review and editing, M.A.; visualization, M.A. and A.I.A.; project administration, A.I.A.; funding acquisition, M.A. All authors have read and agreed to the published version of the manuscript.
Funding
This study is supported by funding from Prince Sattam bin Abdulaziz University’s project number (PSAU/2024/R/1445).
Data Availability Statement
The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Kirby, A.; Sugden, D.A. Children with Developmental Coordination Disorders. J. R. Soc. Med. 2007, 100, 182–186. [Google Scholar] [CrossRef] [PubMed]
- Smits-Engelsman, B.; Schoemaker, M.; Delabastita, T.; Hoskens, J.; Geuze, R. Diagnostic Criteria for DCD: Past and Future. Hum. Mov. Sci. 2015, 42, 293–306. [Google Scholar] [CrossRef] [PubMed]
- American Psychiatric Association, D.; American Psychiatric Association, D.S. Diagnostic and Statistical Manual of Mental Disorders: DSM-5; American Psychiatric Association: Washington, DC, USA, 2013; Volume 5. [Google Scholar]
- Subara-Zukic, E.; Cole, M.H.; McGuckian, T.B.; Steenbergen, B.; Green, D.; Smits-Engelsman, B.C.M.; Lust, J.M.; Abdollahipour, R.; Domellöf, E.; Deconinck, F.J.A. Behavioral and Neuroimaging Research on Developmental Coordination Disorder (DCD): A Combined Systematic Review and Meta-Analysis of Recent Findings. Front. Psychol. 2022, 13, 809455. [Google Scholar] [CrossRef] [PubMed]
- Girish, S.; Raja, K.; Kamath, A. Prevalence of Developmental Coordination Disorder among Mainstream School Children in India. J. Pediatr. Rehabil. Med. 2016, 9, 107–116. [Google Scholar] [CrossRef] [PubMed]
- Ferguson, G.D.; Aertssen, W.F.M.; Rameckers, E.A.A.; Jelsma, J.; Smits-Engelsman, B.C.M. Physical Fitness in Children with Developmental Coordination Disorder: Measurement Matters. Res. Dev. Disabil. 2014, 35, 1087–1097. [Google Scholar] [CrossRef] [PubMed]
- Farmer, M.; Echenne, B.; Drouin, R. Insights in Developmental Coordination Disorder. Curr. Pediatr. Rev. 2017, 13, 111–119. [Google Scholar] [CrossRef] [PubMed]
- Lino, F.; Chieffo, D.P.R. Developmental Coordination Disorder and Most Prevalent Comorbidities: A Narrative Review. Children 2022, 9, 1095. [Google Scholar] [CrossRef]
- Karabak, M.; Akıncı, M.A.; Yıldırım Demirdöğen, E.; Bozkurt, A. Prevalence and Associated Factors of Developmental Coordination Disorder in Primary School Children. Eur. Child. Adolesc. Psychiatry 2024, 1–12. [Google Scholar] [CrossRef]
- Edwards, J.; Berube, M.; Erlandson, K.; Haug, S.; Johnstone, H.; Meagher, M.; Sarkodee-Adoo, S.; Zwicker, J.G. Developmental Coordination Disorder in School-Aged Children Born Very Preterm and/or at Very Low Birth Weight: A Systematic Review. J. Dev. Behav. Pediatr. 2011, 32, 678–687. [Google Scholar] [CrossRef]
- Zoia, S.; Biancotto, M.; Caravale, B.; Valletti, A.; Montelisciani, L.; Croci, I.; Voller, F.; Rusconi, F.; Carrozzi, M.; Chiandotto, V. Early Factors Associated with Risk of Developmental Coordination Disorder in Very Preterm Children: A Prospective Area-based Cohort Study in Italy. Paediatr. Perinat. Epidemiol. 2022, 36, 683–695. [Google Scholar] [CrossRef]
- Panceri, C.; Sbruzzi, G.; Zanella, L.W.; Wiltgen, A.; Procianoy, R.S.; Silveira, R.C.; Valentini, N.C. Developmental Coordination Disorder in Preterm Children: A Systematic Review and Meta-analysis. Eur. J. Neurosci. 2024, 60, 4128–4147. [Google Scholar] [CrossRef] [PubMed]
- Faebo Larsen, R.; Hvas Mortensen, L.; Martinussen, T.; Nybo Andersen, A. Determinants of Developmental Coordination Disorder in 7-year-old Children: A Study of Children in the D Anish N Ational B Irth C Ohort. Dev. Med. Child. Neurol. 2013, 55, 1016–1022. [Google Scholar] [CrossRef] [PubMed]
- Lingam, R.; Golding, J.; Jongmans, M.J.; Hunt, L.P.; Ellis, M.; Emond, A. The Association between Developmental Coordination Disorder and Other Developmental Traits. Pediatrics 2010, 126, e1109–e1118. [Google Scholar] [CrossRef] [PubMed]
- Draghi, T.T.G.; Cavalcante, J.L.; Rohr, L.A.; Jelsma, L.D.; Tudella, E. Symptoms of Anxiety and Depression in Children with Developmental Coordination Disorder: A Systematic Review. J. Pediatr. 2020, 96, 8–19. [Google Scholar] [CrossRef] [PubMed]
- Valentini, N.C.; de Souza, P.S.; de Souza, M.S.; Nobre, G.C. Individual and Environmental Parameters in Children with and without Developmental Coordination Disorder: Associations with Physical Activity and Body Mass Index. Front. Pediatr. 2023, 11, 1202488. [Google Scholar] [CrossRef]
- Gambra, L.; Cortese, S.; Lizoain, P.; Romero, D.R.; Paiva, U.; Gándara, C.; Arrondo, G.; Magallón, S. Excessive Body Weight in Developmental Coordination Disorder: A Systematic Review and Meta-Analysis. Neurosci. Biobehav. Rev. 2024, 164, 105806. [Google Scholar] [CrossRef]
- Cavalcante Neto, J.L.; Draghi, T.T.G.; dos Santos, I.W.P.; Brito, R.D.S.; Silva, L.S.D.O.; Lima, U.D.S. Physical Fitness in Children With Developmental Coordination Disorder: A Systematic Review. Phys. Occup. Ther. Pediatr. 2024, 44, 1–30. [Google Scholar] [CrossRef] [PubMed]
- Romeo, D.M.; Venezia, I.; De Biase, M.; Ascione, F.; Lala, M.R.; Arcangeli, V.; Mercuri, E.; Brogna, C. Developmental Coordination Disorder and Joint Hypermobility in Childhood: A Narrative Review. Children 2022, 9, 1011. [Google Scholar] [CrossRef]
- Reynolds, J.E.; Thornton, A.L.; Elliott, C.; Williams, J.; Lay, B.S.; Licari, M.K. A Systematic Review of Mirror Neuron System Function in Developmental Coordination Disorder: Imitation, Motor Imagery, and Neuroimaging Evidence. Res. Dev. Disabil. 2015, 47, 234–283. [Google Scholar] [CrossRef]
- Wilson, P.H.; Smits-Engelsman, B.; Caeyenberghs, K.; Steenbergen, B.; Sugden, D.; Clark, J.; Mumford, N.; Blank, R. Cognitive and Neuroimaging Findings in Developmental Coordination Disorder: New Insights from a Systematic Review of Recent Research. Dev. Med. Child. Neurol. 2017, 59, 1117–1129. [Google Scholar] [CrossRef]
- Balayi, E.; Sedaghati, P.; Ahmadabadi, S. Effects of Neuromuscular Training on Postural Control of Children with Intellectual Disability and Developmental Coordination Disorders: Neuromuscular Training and Postural Control. BMC Musculoskelet. Disord. 2022, 23, 631. [Google Scholar] [CrossRef] [PubMed]
- Schott, N.; El-Rajab, I.; Klotzbier, T. Cognitive-Motor Interference during Fine and Gross Motor Tasks in Children with Developmental Coordination Disorder (DCD). Res. Dev. Disabil. 2016, 57, 136–148. [Google Scholar] [CrossRef] [PubMed]
- Shahbaz, R.; Saemi, E.; Doustan, M.; Hogg, J.A.; Diekfuss, J.A. The Effect of a Visual Illusion and Self-Controlled Practice on Motor Learning in Children at Risk for Developmental Coordination Disorder. Sci. Rep. 2024, 14, 12414. [Google Scholar] [CrossRef]
- Parr, J.V.V.; Foster, R.J.; Wood, G.; Thomas, N.M.; Hollands, M.A. Children with Developmental Coordination Disorder Show Altered Visuomotor Control during Stair Negotiation Associated with Heightened State Anxiety. Front. Hum. Neurosci. 2020, 14, 589502. [Google Scholar] [CrossRef]
- Speedtsberg, M.B.; Christensen, S.B.; Stenum, J.; Kallemose, T.; Bencke, J.; Curtis, D.J.; Jensen, B.R. Local Dynamic Stability during Treadmill Walking Can Detect Children with Developmental Coordination Disorder. Gait Posture 2018, 59, 99–103. [Google Scholar] [CrossRef]
- Biotteau, M.; Danna, J.; Baudou, É.; Puyjarinet, F.; Velay, J.-L.; Albaret, J.-M.; Chaix, Y. Developmental Coordination Disorder and Dysgraphia: Signs and Symptoms, Diagnosis, and Rehabilitation. Neuropsychiatr. Dis. Treat. 2019, 2019, 1873–1885. [Google Scholar] [CrossRef] [PubMed]
- Zeng, N.; Ayyub, M.; Sun, H.; Wen, X.; Xiang, P.; Gao, Z. Effects of Physical Activity on Motor Skills and Cognitive Development in Early Childhood: A Systematic Review. Biomed. Res. Int. 2017, 2017, 2760716. [Google Scholar] [CrossRef]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Ann. Intern. Med. 2009, 151, 264–269. [Google Scholar] [CrossRef]
- Sherrington, C.; Herbert, R.D.; Maher, C.G.; Moseley, A.M. PEDro. A Database of Randomized Trials and Systematic Reviews in Physiotherapy. Man. Ther. 2000, 5, 223–226. [Google Scholar] [CrossRef]
- Moseley, A.M.; Herbert, R.D.; Sherrington, C.; Maher, C.G. Evidence for Physiotherapy Practice: A Survey of the Physiotherapy Evidence Database (PEDro). Aust. J. Physiother. 2002, 48, 43–49. [Google Scholar] [CrossRef]
- Thomas, J.; Harden, A. Methods for the Thematic Synthesis of Qualitative Research in Systematic Reviews. BMC Med. Res. Methodol. 2008, 8, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Cohen, J. Statistical Power Analysis for the Behavioral Sciences; Routledge: London, UK, 2013; ISBN 0203771583. [Google Scholar]
- Ashkenazi, T.; Weiss, P.L.; Orian, D.; Laufer, Y. Low-Cost Virtual Reality Intervention Program for Children with Developmental Coordination Disorder: A Pilot Feasibility Study. Pediatr. Phys. Ther. 2013, 25, 467–473. [Google Scholar] [CrossRef] [PubMed]
- Au, M.K.; Chan, W.M.; Lee, L.; Chen, T.M.K.; Chau, R.M.W.; Pang, M.Y.C. Core Stability Exercise Is as Effective as Task-Oriented Motor Training in Improving Motor Proficiency in Children with Developmental Coordination Disorder: A Randomized Controlled Pilot Study. Clin. Rehabil. 2014, 28, 992–1003. [Google Scholar] [CrossRef] [PubMed]
- Zwicker, J.G.; Rehal, H.; Sodhi, S.; Karkling, M.; Paul, A.; Hilliard, M.; Jarus, T. Effectiveness of a Summer Camp Intervention for Children with Developmental Coordination Disorder. Phys. Occup. Ther. Pediatr. 2015, 35, 163–177. [Google Scholar] [CrossRef] [PubMed]
- Fong, S.S.M.; Guo, X.; Liu, K.P.Y.; Ki, W.Y.; Louie, L.H.T.; Chung, R.C.K.; Macfarlane, D.J. Task-Specific Balance Training Improves the Sensory Organisation of Balance Control in Children with Developmental Coordination Disorder: A Randomised Controlled Trial. Sci. Rep. 2016, 6, 20945. [Google Scholar] [CrossRef] [PubMed]
- Fong, S.S.M.; Chung, J.W.Y.; Chow, L.P.Y.; Ma, A.W.W.; Tsang, W.W.N. Differential Effect of Taekwondo Training on Knee Muscle Strength and Reactive and Static Balance Control in Children with Developmental Coordination Disorder: A Randomized Controlled Trial. Res. Dev. Disabil. 2013, 34, 1446–1455. [Google Scholar] [CrossRef] [PubMed]
- Jarus, T.; Ghanouni, P.; Abel, R.L.; Fomenoff, S.L.; Lundberg, J.; Davidson, S.; Caswell, S.; Bickerton, L.; Zwicker, J.G. Effect of Internal versus External Focus of Attention on Implicit Motor Learning in Children with Developmental Coordination Disorder. Res. Dev. Disabil. 2015, 37, 119–126. [Google Scholar] [CrossRef] [PubMed]
- Yu, J.; Sit, C.H.P.; Burnett, A.; Capio, C.M.; Ha, A.S.C.; Huang, W.Y.J. Effects of Fundamental Movement Skills Training on Children with Developmental Coordination Disorder. Adapt. Phys. Act. Q. 2016, 33, 134–155. [Google Scholar] [CrossRef] [PubMed]
- Straker, L.; Howie, E.; Smith, A.; Jensen, L.; Piek, J.; Campbell, A. A Crossover Randomised and Controlled Trial of the Impact of Active Video Games on Motor Coordination and Perceptions of Physical Ability in Children at Risk of Developmental Coordination Disorder. Hum. Mov. Sci. 2015, 42, 146–160. [Google Scholar] [CrossRef]
- Noordstar, J.J.; van der Net, J.; Voerman, L.; Helders, P.J.M.; Jongmans, M.J. The Effect of an Integrated Perceived Competence and Motor Intervention in Children with Developmental Coordination Disorder. Res. Dev. Disabil. 2017, 60, 162–175. [Google Scholar] [CrossRef]
- Hammond, J.; Jones, V.; Hill, E.L.; Green, D.; Male, I. An Investigation of the Impact of Regular Use of the Wii Fit It to Improve Motor and Psychosocial Outcomes in Children with Movement Difficulties: A Pilot Study. Child. Care Health Dev. 2014, 40, 165–175. [Google Scholar] [CrossRef]
- Jelsma, D.; Ferguson, G.D.; Smits-Engelsman, B.C.M.; Geuze, R.H. Short-Term Motor Learning of Dynamic Balance Control in Children with Probable Developmental Coordination Disorder. Res. Dev. Disabil. 2015, 38, 213–222. [Google Scholar] [CrossRef] [PubMed]
- Blank, R.; Smits-Engelsman, B.; Polatajko, H.; Wilson, P. European Academy for Childhood Disability (EACD): Recommendations on the Definition, Diagnosis and Intervention of Developmental Coordination Disorder (Long Version). Dev. Med. Child. Neurol. 2012, 54, 54. [Google Scholar] [CrossRef] [PubMed]
- Cantell, M.H.; Smyth, M.M.; Ahonen, T.P. Two Distinct Pathways for Developmental Coordination Disorder: Persistence and Resolution. Hum. Mov. Sci. 2003, 22, 413–431. [Google Scholar] [CrossRef]
- Kagerer, F.A.; Contreras-Vidal, J.L.; Bo, J.; Clark, J.E. Abrupt, but Not Gradual Visuomotor Distortion Facilitates Adaptation in Children with Developmental Coordination Disorder. Hum. Mov. Sci. 2006, 25, 622–633. [Google Scholar] [CrossRef] [PubMed]
- Wolpert, D.M. Computational Approaches to Motor Control. Trends Cogn. Sci. 1997, 1, 209–216. [Google Scholar] [CrossRef]
- Debrabant, J.; Gheysen, F.; Caeyenberghs, K.; Van Waelvelde, H.; Vingerhoets, G. Neural Underpinnings of Impaired Predictive Motor Timing in Children with Developmental Coordination Disorder. Res. Dev. Disabil. 2013, 34, 1478–1487. [Google Scholar] [CrossRef] [PubMed]
- Martin, T.A.; Keating, J.G.; Goodkin, H.P.; Bastian, A.J.; Thach, W.T. Throwing While Looking through Prisms: II. Specificity and Storage of Multiple Gaze—Throw Calibrations. Brain 1996, 119, 1199–1211. [Google Scholar] [CrossRef] [PubMed]
- van Swieten, L.M.; van Bergen, E.; Williams, J.H.G.; Wilson, A.D.; Plumb, M.S.; Kent, S.W.; Mon-Williams, M.A. A Test of Motor (Not Executive) Planning in Developmental Coordination Disorder and Autism. J. Exp. Psychol. Hum. Percept. Perform. 2010, 36, 493. [Google Scholar] [CrossRef]
- Ferguson, G.D.; Jelsma, D.; Jelsma, J.; Smits-Engelsman, B.C.M. The Efficacy of Two Task-Orientated Interventions for Children with Developmental Coordination Disorder: Neuromotor Task Training and Nintendo Wii Fit Training. Res. Dev. Disabil. 2013, 34, 2449–2461. [Google Scholar] [CrossRef]
- Lucas, B.R.; Elliott, E.J.; Coggan, S.; Pinto, R.Z.; Jirikowic, T.; McCoy, S.W.; Latimer, J. Interventions to Improve Gross Motor Performance in Children with Neurodevelopmental Disorders: A Meta-Analysis. BMC Pediatr. 2016, 16, 193. [Google Scholar] [CrossRef] [PubMed]
- Crosson, B.; Hampstead, B.M.; Krishnamurthy, L.C.; Krishnamurthy, V.; McGregor, K.M.; Nocera, J.R.; Roberts, S.; Rodriguez, A.D.; Tran, S.M. Advances in Neurocognitive Rehabilitation Research from 1992 to 2017: The Ascension of Neural Plasticity. Neuropsychology 2017, 31, 900. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).