SUMMAR Y The objectives of the study were to describe the prevalence, odds, and predictors of 36 paediatric sleep behaviours and describe their coexistence in a school-age normal population. The design was community-based questionnaire survey of sleep-wake patterns, sleep environment, and 36 sleep behaviours indicative of six sleep disordersubscales using the Health-Behaviour Questionnaire. A caregiversÕ report of 3045 children aged 6-13 years in Belgium constituted the participants. Prevalence of each sleep behaviour was calculated. Log-linear modelling within and between the sleep disorder-subscales was used to screen for coexistence. The effect size of selected nighttime parameters to the likelihood of sleep behaviours and disorder-subscale was expressed as odds ratios via logit regression analysis. Significant differences in sleepwake patterns were found between weekday and weekend. Ranking by odds showed that: (1) sleep problems such as Ôtired when waking upÕ, Õrepetitive limb movementsÕ, Ôgoing to bed reluctantlyÕ, and Ôsleep paralysisÕ and; (2) the disorder-subscale Ôexcessive somnolenceÕ are common in children. Coexistences within and between disordersubscales of sleep problems are evident in a school-age, normal population. These results suggest that disorders of excessive somnolence (DES) are highly prevalent in a non-clinical sample of school-age children. Furthermore, sleep-onset latency and a noisy, not well-darkened room are predictive towards the odds for exhibiting sleep problems and disorders. It is advocated that more information on the importance of good sleep-wake hygiene should reach parents and children.
Insomnia is a sleeping disorder, usually studied from a behavioural perspective, with a focus on somatic and cognitive arousal. Recent studies have suggested that an impairment of information processes due to the presence of cortical hyperarousal might interfere with normal sleep onset and/or consolidation. As such, a treatment modality focussing on CNS arousal, and thus influencing information processing, might be of interest. Seventien insomnia patients were randomly assigned to either a tele-neurofeedback (n = 9) or an electromyography tele-biofeedback (n = 8) protocol. Twelve healthy controls were used to compare baseline sleep measures. A polysomnography was performed pre and post treatment. Total Sleep Time (TST), was considered as our primary outcome variable. Sleep latency decreased pre to post treatment in both groups, but a significant improvement in TST was found only after the neurofeedback (NFB) protocol. Furthermore, sleep logs at home showed an overall improvement only in the neurofeedback group, whereas the sleep logs in the lab remained the same pre to post training. Only NFB training resulted in an increase in TST. The mixed results concerning perception of sleep might be related to methodological issues, such as the different locations of the training and sleep measurements.
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