Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. Our motivation stems from the need for aviation organisations to develop decision support systems for operational aviation settings, able to feed-in in the organisations’ fatigue risk management efforts. Key criteria to this end are the need for the least possible intrusiveness and the added information value for a safety system. Departing from the problems in compliance-focused fatigue risk management and the intrusive nature of clinical studies, we report a neuroscientific methodology able to yield markers that can be easily integrated in a decision support system at the operational level. Reporting the preliminary phase of our live project, we evaluate the tools suitable for the development of a system that tracks subtle pilot states, such as drowsiness and micro-sleep episodes.
A heterogeneous sample of 137 school-aged children with learning disabilities (IQ > 80) attending special needs schools was examined on the Movement Assessment Battery for Children (MABC). The results show that compared to the available norm scores, 52.6% of the children tested performed below the 15th percentile on manual dexterity, 40.9% on ball skills, and 33.7% on balance skills. Furthermore, after controlling for IQ, significant small to moderate partial correlations were found between spelling and mathematics and the MABC total score, as well as small to moderate correlations between mathematics and balance, between reading and ball skills, and between spelling and manual dexterity. The present findings are compared with previously reported results obtained in more homogenous groups, and based on the resultant relationships between academic performance and motor development, recommendations for future motor intervention studies are made.
OBJECTIVE: To determine the prevalence of generalized joint hypermobility (GJH) in Dutch children aged 5.5 years, and to examine the association between GJH and motor performance and development over time.STUDY DESIGN: A prospective cohort of 249 children was recruited. GJH was assessed with the Beighton test at age 5.5 years. Motor performance was evaluated at age 2.0 years using the Bayley Scales of Infant Development, Second Edition and at age 5.5 years using the Movement Assessment Battery for Children-Second Edition (subscore categories: manual dexterity, aiming and catching, and static and dynamic balance).RESULTS: In 249 children, the prevalence of GJH, defined by the Beighton test score, was 34.1% for a score ≥ 4, 22.5% for a score ≥ 5, and 16.5% for a score ≥ 6. No significant association was found between GJH and total motor performance. Manual dexterity in girls (Beighton score ≥ 4) was positively associated with higher level of motor performance (β [SE] = 0.38 [0.17]; P = .028), ranging from +0.04 SD to +0.72 SD, even after correction for covariates. A significant interaction between GJH and body mass index (BMI) growth was found, indicating that the effect of GJH on the rate of development of motor performance declines with increasing BMI growth (β = 0.05 [0.02]; P = .031).CONCLUSION: In this healthy pediatric cohort, GJH was present in one-third of the sample, and no significant association was found between GJH and total motor performance. The effect of GJH on the rate of development of motor performance appears to decline with increasing BMI growth. Longitudinal prospective studies are recommended to detect influences of GJH on motor performance over time, as well as the influence of body composition and Beighton cutoff points.
