3 research outputs found

    Early visuospatial attention and processing and related neurodevelopmental outcome at 2 years in children born very preterm

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    Background: The ability to perceive and process visuospatial information is a condition for broader neurodevelopment. We examined the association of early visuospatial attention and processing with later neurodevelopmental outcome in very preterm infants. Methods: Visuospatial attention and processing was assessed in 209 children (<30 weeks gestation) using an easy applicable eye tracking-based paradigm at 1 and 2 years. Average reaction times to fixation (RTF) on specific visual stimuli were calculated, representing time needed for overall attention (Cartoon stimuli) and processing (Motion and Form stimuli). Associations between RTFs and various measures of development at 2 years including cognitive and motor development (Bayley Scales of Infant and Toddler Development-Third edition; Bayley-III), language (Lexi test) and behavior (Child Behavior Checklist) were examined. Results: At 1 year, 100 ms slower Cartoon and Motion RTFs were associated with lower cognitive Bayley-III scores (−4.4 points, 95%CI: −7.4; −1.5 and −1.0 points, −1.8; −0.2, respectively). A 100 ms slower Cartoon RTF was associated with a 3.5 (−6.6; −0.5) point decrease in motor Bayley-III score. Conclusions: Visuospatial attention and motion processing at 1 year is predictive of overall cognitive and motor development 1 year later. The nonverbal eye tracking-based test can assist in early detection of preterm children at risk of adverse neurodevelopment. Impact: Visuospatial attention and processing at 1 year corrected age is predictive for overall cognitive and motor development 1 year later in preterm infants.First study to relate early visuospatial attention and processing with later neurodevelopmental outcome in preterm children.Early detection of preterm children at risk of adverse neurodevelopment, which allows for more timely interventions

    Sleep, 24-hour activity rhythms, and cardiometabolic risk factors in school-age children

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    STUDY OBJECTIVES: Disturbed sleep and 24-hour activity rhythms are linked to adverse cardiometabolic profiles in adults and adolescents, and these associations may originate in early life. We aimed to study associations of sleep and 24-hour rhythms with cardiometabolic risk factors in school-age children.METHODS:This cross-sectional population-based study comprised 894 children aged 8-11 years from the Generation R Study. Sleep (duration, efficiency, number of awakenings, and time awake after sleep onset) and 24-hour activity rhythms (social jet lag, interdaily stability, and intradaily variability) were assessed using triaxial wrist actigraphy for 9 consecutive nights. Cardiometabolic risk factors included adiposity (body mass index Z-score, fat mass index using dual-energy X-ray absorptiometry, and visceral fat mass and liver fat fraction using magnetic resonance imaging), blood pressure, and blood markers (glucose, insulin, and lipids). We adjusted for season, age, sociodemographics, and lifestyle factors.RESULTS: Each increase in interquartile range of nightly awakenings (2 times) was associated with -0.12 standard deviation (95% confidence interval: -0.21, -0.04) lower body mass index and 0.15 mmol/L (0.10, 0.21) higher glucose. Among boys, an increase in interquartile range of intradaily variability (0.12) was associated with higher fat mass index (+0.07 kg/m2; 95% confidence interval: 0.03, 0.11) and visceral FM (+0.08 g; 95% confidence interval: 0.02, 0.15). We observed no associations with blood pressure or clustering of cardiometabolic risk factors.CONCLUSIONS:Already at school age, greater fragmentation of the 24-hour activity rhythm is associated with general and organ adiposity. In contrast, more nightly awakenings were associated with lower body mass index. Future research should bring clarity to these disparate observations in order to create potential targets for obesity prevention programs.CITATION: Beunders VAA, Koopman-Verhoeff ME, Vermeulen MJ, et al. Sleep, 24-hour activity rhythms, and cardiometabolic risk factors in school-age children. J Clin Sleep Med. 2023;19(7):1219-1229.</p
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