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Purpose. To understand how athletes invest their energy over a race, differences in pacing ability between athletes with and without intellectual impairment (II) were explored using a novel field test. Methods. Well-trained runners (n=67) participated in this study, including 34 runners with II (age = 24.4 ± 4.5 years; IQ = 63.1 ± 7.7) and 33 runners without II (age = 31.4 ± 11.2 years).The ability to perform at a pre-planned submaximal pace was assessed. Two 400m running trials were performed on an athletics track, with an individually standardized velocity. In the first trial, the speed was imposed by auditory signals given in 20m-40m intervals, in combination with coach-feedback during the initial 200m. The participant was instructed to maintain this velocity without any feedback during the final 200m. In trial 2, no coach-feedback was permitted.Results. Repeated measures analyses revealed a significant between-groups effect. II-runners deviated more from the target time than runners without II. The significant trial x group interaction effect (F = 4.15, p<.05) revealed that the ability to self-regulate the pace during the final 200m improved for runners without II (Trial 1: 1.7 ± 1.0s, Trial 2: 0.9 ±0.8s) whereas the II-runners deviated even more in Trial 2 (4.4 ± 4.3s), than in Trial 1 (3.2 ± 3.9s). Conclusion.Our findings support the assumption that intellectual capacity is involved in pacing. It is demonstrated that II-runners have difficulties maintaining a preplanned submaximal velocity, and this study contributes to understanding problems II-exercisers might experience when exercising. With this field test, we can assess the impact of II on pacing and performance in individual athletes which will lead to a fair Paralympic classification-procedure.

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Despite greater oxidative stress and lower insulin sensitivity, the DS group involved in our study did not display clear metabolic abnormalities. The young age and lifestyle of this group might, partially, have accounted for this apparently healthy metabolic status.

Pacing has been defined as the goal-directed regulation of exercise intensity over an exercise bout, in which athletes need to decide how and when to invest their energy. The purpose of this study was to explore if the regulation of exercise intensity during competitive track races is different between runners with and without intellectual impairment, which is characterized by significant limitations in intellectual functioning (IQ ≤ 75) and adaptive behavioral deficits, diagnosed before the age of 18. The samples included elite runners with intellectual impairment (N = 36) and a comparison group of world class runners without impairment (N = 39), of which 47 were 400 m runners (all male) and 28 were 1500 m-runners (15 male and 13 female). Pacing was analyzed by means of 100 m split times (for 400 m races) and 200 m split times (for 1500 m races). Based on the split times, the average velocity was calculated for four segments of the races. Velocity fluctuations were defined as the differences in velocity between consecutive race segments. A mixed model ANOVA revealed significant differences in pacing profiles between runners with and without intellectual impairment (p < 0.05). Maximal velocity of elite 400 m runners with intellectual impairment in the first race segment (7.9 ± 0.3 m/s) was well below the top-velocity reached by world level 400 m runners without intellectual impairment (8.9 ± 0.2 m/s), and their overall pace was slower (F = 120.7, p < 0.05). In addition, both groups followed a different pacing profile and inter-individual differences in pacing profiles were larger, with differences most pronounced for 1500 m races. Whereas, male 1500 m-runners without intellectual impairment reached a high velocity in the first 100 m (7.2 ± 0.1 m/s), slowly decelerated in the second race segment (−0.6 ± 0.1 m/s), and finished with an end sprint (+0.9 ± 0.1 m/s); the 1500 m runners with intellectual impairment started slower (6.1 ± 0.3 m/s), accelerated in the second segment (+0.2 ± 0.7 m/s), and then slowly decreased until the finish (F = 6.8, p < 0.05). Our findings support the hypothesis that runners with intellectual impairment have difficulties to efficiently self-regulate their exercise intensity. Their limited cognitive resources may constrain the successful integration of appropriate pacing strategies during competitive races.

In this study the ability of elite table tennis players with intellectual disability (ID) to adapt their service/return to specific ball spin characteristics was investigated. This was done by examining the performance of 39 players with ID and a reference group of 8 players without ID on a standardized table tennis specific test battery. The battery included 16 sets of 15 identical serves that had to be returned to a fixed target, and two additional tests measuring reaction time and upper limb speed. A 2 × 4 ANOVA (with group and type of spin as independent variables) with repeated measurements (15 consecutive returns) supported the hypothesis that elite table tennis players with ID were significantly less proficient than their counterparts without ID, but both groups demonstrated a comparable progression in learning. Spearman correlation coefficients indicated a positive relationship between accuracy of return and upper limb speed (rho = 0.42: p < .05) and reaction time (rho = 0.41: p < .05), showing that these generic factors are useful in partially explaining skill variations in specific sports.

Although motor problems are highly prevalent in children with autism spectrum disorder (ASD), they remain underdiagnosed. Questionnaire-based screening for motor problems could optimize current clinical practice. This study aimed to examine the psychometric properties of the developmental coordination disorder questionnaire (DCDQ) to screen for co-occurring motor problems in individuals with ASD (n = 115; aged 5-15 years). Results indicated an excellent internal consistency; concurrent and discriminant validity with the Movement Assessment Battery for Children, second edition. Sensitivity was excellent, but specificity was lower. The positive and negative predictive values indicate that the DCDQ can be used to detect motor problems in children with ASD and can exclude the presence of developmental coordination disorder.