Developmental Coordination Disorder (DCD) is a multifactorial motor disorder that significantly impacts a child's activities of daily living and academic skills. Identifying signs of DCD early is essential to enable timely support and reduce the risk of long-term difficulties. This cross-sectional study aimed to further investigate the psychometric properties of the Greek version of the Little Developmental Coordination Disorder Questionnaire (LDCDQ) by carrying out appropriate analyses in a convenience sample of 3- to 5- year old children in Greece. A total of 362 preschool children aged 3-5 years old from 39 municipal kindergartens in Thessaloniki, Greece participated in this study. Parents filled out the Greek LDCDQ. Internal consistency of the LDCDQ-GR was determined by Cronbach's alpha. Construct validity was investigated using factor analysis RESULTS: Internal consistency of the LDCDQ-GR was 0.88. Factor analysis resulted in three factors (Locomotor, Fine motor and General Coordination skills). No effects of age (H(2) = 3.93, p = 0.14, η2 = 0.005) and gender (H(1) = 2.75, p = 0.09, η2 = 0.005) were depicted for the LDCDQ-GR final score. LDCDQ-GR appears to be a reliable and well-structured questionnaire for identifying preschool-aged (3-5 years old) children in Greece who may be at risk for DCD.

Assistive technology plays a pivotal role in supporting individuals with developmental conditions by fostering independence and addressing needs across physical, cognitive, and communicative domains. Despite its benefits, widespread adoption remains limited due to high costs, usability challenges, and limited real-world applicability. This study offers a comprehensive overview of assistive technology's role in the context of developmental conditions by outlining key research areas and influential publications. Using a scientometric approach, we examined 1322 documents from Scopus and their 44,699 references. Co-citation analysis revealed three main thematic clusters and identified four particularly impactful publications, with the most influential authored by Lancioni and Singh (2014). A qualitative analysis of the clusters highlighted three recurrent research themes: (1) communication and mobility in individuals with profound developmental conditions; (2) cognitive functions and autonomy in individuals with developmental and intellectual conditions; and (3) communication and social cognition in autism. These areas reflect the increasing integration of assistive technologies into therapeutic, educational, and daily life contexts, enhancing quality of life, autonomy, and social participation. Emerging research also underscores the ethical need to design technologies that respect the preferences and lived experiences of individuals with developmental conditions, avoiding the imposition of neurotypical norms. Co-participation in design is gaining prominence, promoting more personalized, inclusive, and neurodiversity-oriented approaches.

Sleep behavior is closely linked to autism spectrum disorder (ASD) and may influence behavioral and neurological development. This study examined the association between sleep pattern consistency (SPC) and ASD among children aged 6-17 years. This study used data from 63,866 children from the 2022-2023 National Survey of Children's Health (NSCH). ASD status was based on parent-reported provider diagnoses. SPC was constructed from sleep duration and bedtime regularity. Associations between SPC and ASD were examined using relative risks and multivariable logistic regression. Machine learning methods predicted individualized ASD profiles and identified high-risk subgroups. Model performance was evaluated using discrimination and calibration metrics. The cohort showed 4.41 % ASD prevalence, mean age 11.9 years, 51.8 % male, 62.4 % healthy weight, 28.9 % poor sleep routines, 28.8 % lower income, 40.5 % co-occurring disorders, and 42.4 % with medication. Children with poor sleep routines (PSR) demonstrated a significantly higher likelihood of ASD (aOR: 1.92; 95 % CI: 1.64-2.25), whereas long sleep with regularity (LSR) was associated with a lower likelihood (aOR: 0.81; 95 % CI: 0.70-0.94). Other correlated factors included male sex (aOR: 3.83, p < 0.001), underweight (aOR: 1.28, p < 0.001), and overweight (aOR: 1.39, p < 0.001). Among female children from low-income households with co-occurring conditions, PSR patterns were associated with higher predicted ASD probability (∼12 %, p = 0.002), whereas healthy sleep routine (HSR) showed substantially lower predicted probabilities. SPC was significantly associated with ASD. These findings highlight the potential relevance of sleep health in relation to developmental outcomes and ASD screening, particularly among higher-risk subgroups.