Pediatric sleep problems are among the most common yet significant pediatric health issues faced by families. Sleep problems can impact social-emotional and academic functioning of schoolchildren. Once identified, pediatric sleep problems and disorders are treatable with effective and rapid behavioral and medical interventions. The purpose of the current study was to determine the prevalence rates of symptoms of sleep disorders in a diverse school-based sample as well as the relationship between symptoms of sleep disorders and school behavior, academic achievement, and quality of life. The present study examined the relationship between the independent variables of No Sleep Disorders symptoms and Sleep Disorders symptoms derived from the Sleep Disorders Inventory for Students, Children's Form (SDIS-C) and the dependent variables Externalizing and Internalizing scales of the Behavior Assessment System for Children, Second Edition (BASC-2), Curriculum-based Measurement Re ading (R-CBM), Curriculum-based Measurement Math (M-CBM), PedsQL TM 4.0, and Students' Life Satisfaction Scale (SLSS). A Multivariate analysis of variance (MANOVA) was used to identify a significant difference between students with and without symptoms of sleep disorders on behavior, academics, and quality of life. Follow-up analyses using a modified Bonferroni adjustment determined significant differences between students with and without symptoms of sleep disorders on R-CBM, externalizing behaviors and internalizing behaviors. Medium effect sizes were reported for R-CBM, externalizing and internalizing behaviors and M-CBM. Very small effect sizes were found for PedsQL TM 4.0 and SLSS. Implications for School Psychologists and directions for future practice and research are discussed including understanding prevention, early identification and intervention, broadening the scope of school psychology training at the preservice and inservice levels and educating locally and nationall y.

Made available in DSpace on 2014-12-17T14:13:20Z (GMT). No. of bitstreams: 1 CarlosNA.pdf: 2422732 bytes, checksum: f5d47defbd8e5b492fe5d2975c8286ee (MD5) Previous issue date: 2006-12-28 / Innumerable studies have focused been reported on the sleep spindles (SS), Sharp Vertex Waves (SVW) and REM, NREM Sleep as indicators interpreting EEG patterns in children. However, Frequency and Amplitud Gradient (FAG) is rarely cited sleep parameter in children,that occurs during NREM Sleep. It was first described by Slater and Torres, in 1979, but has not been routinely evaluated in EEG reports. The aim of this study was to assess the absence of SS, SVW and FAG, as an indication of neurological compromise in children. The sample consisted of 1014 EEGs of children referred to the Clinical Neurophysiology Laboratory, Hospital Universit?rio de Bras?lia (HUB), from January 1997 to March 2003, with ages ranging from 3 months to 12 years old, obtained in spontaneous sleep or induced by choral hydrate. The study was transversal and analytical, in which, visual analysis of EEG traces was perfumed individually and independently by two electroencephalographers without prior knowledge of the EEG study or neurological findings. After EEG selection, the investigators analyzed the medical reports in order to define and correlate neurological pattern was classified according to the presence or absence of neurological compromise, as Normal Neurological Pattern (NNP), and Altered Neurological Pattern (ANP) respectively. From the visual analysis of the EEG(s), it was possible to characterize 6 parameters: 1- FAG present (64,1%); 2- FAG absent (35,9%); 3 - normal SS (87,9%); 4 - altered SS s (12,1%); 5 - normal SVW s (95,7%); 6 - altered SVW s (4,3%). The prevalence of well-formed FAG is found in the 3 months to 5 years age group in the children with NNF. FAG was totally absent from the age of 10 years. When comparing the three sleep graphielements, it was observed that SVW and SS were predominant in children with NNF. However, FAG absent was more prevalent in the ANF than in altered SS an SVW. The statistical analysis showed that there is a strong association of FAG absent, with isolated alteration, in ANF patients, in that the prevalence ratio was 6,60. The association becomes stronger when FAG absent + altered SS(s) is considered (RP= 6,68). Chi-square test, corrected by Yates technique, showed a highly significant relation for FAG &#961;= 0,00000001, for error X of 5%, or else the 95% confidence interval (&#961;<0,05). Thus, the FAG absent were more expressive in ANF patient than altered SS(s) and SVW(s). The association becomes stronger in order to establish a prognostic relation, when the FAG is combined with the SS. The results os this study allow us to affirm that the FAG, when absent at ages ranging from 3 months to 5 years , is an indication of neurological compromise. FAG is an age-dependent EEG parameter and incorporated systematically, in the interpretation criteria of the EEG of children s sleep, not only in the maturational point of view, but also neurological disturbances with encephalic compromise / In?meras pesquisas t?m focalizado periodicamente os fusos do sono (FS), as ondas agudas do v?rtex (OAV), o complexo K e o padr?o do sono REM e NREM como indicadores de avalia??o eletrencefalogr?fica da inf?ncia. O GFA ? um padr?o EEG do sono de crian?as que ocorre durante o sono NREM, raramente citado na literatura, e que, descrito pela primeira vez por Slater e Torres, em 1979, e n?o devidamente valorizado na rotina dos laudos EEG. Nas montagens referenciais ? caracterizado por uma progressiva diminui??o de voltagem e aumento de freq??ncia na dire??o p?stero-anterior. O objetivo desta tese, foi analisar o gradiente de freq??ncia e amplitude, um padr?o EEG do sono de crian?as que ocorre durante o sono NREM; estudar os fusos do sono(FS), ondas agudas do v?rtex (OAV), como indicadores de comprometimento neurol?gico. A popula??o de estudo constitui-se de 1014 EEG de crian?as atendidas no Laborat?rio de Neurofisiologia Cl?nica do Hospital Universit?rio de Bras?lia (HUB) no per?odo de janeiro de 1997 a mar?o de 2003, nas faixas et?rias de 3 meses a 12 anos de idade, obtidos em sono espont?neo ou induzido por hidrato de cloral. O tipo de ensaio foi transversal-anal?tico, onde os EEG foram avaliados independentemente por 2 examinadores sem pr?vio conhecimento do padr?o neurol?gico e da indica??o cl?nica. Ap?s an?lise visual do EEG, foram pesquisados os prontu?rios m?dicos de todas as crian?as inclu?das no estudo, a fim de definir e associar o padr?o neurol?gico com os par?metros fusos do sono, ondas agudas do v?rtex, e GFA. O padr?o neurol?gico foi classificado segundo a presen?a ou aus?ncia de comprometimento neurol?gico em padr?o neurol?gico normal (PNN) e padr?o neurol?gico anormal (PNA), respectivamente. Com base na an?lise visual dos EEG, foi caracterizado o GFA em duas categorias: 1) GFA presente (64,1%); 2) GFA ausente ( 35,9%); 3) FS normais (87,9%); 4) FS alterados (12,1%); 5) OAV normais (95,7%); 6) OAV alteradas (4,3%). A melhor express?o do GFA presente com PNN ocorreu nas faixas et?rias de 3 meses a 5 anos. Observou-se tamb?m que o GFA torna-se ausente a partir dos 10 anos de idade em crian?as com PNN. Comparando os 3 grafoelementos do sono, as OAV e FS, foram respectivamente predominantes nas crian?as com PNN. A an?lise estat?stica mostrou que existe uma forte associa??o de aus?ncia de GFA, como altera??o isolada, nos pacientes com PNA, uma vez que a raz?o de preval?ncia foi de 6,60. A associa??o torna-se mais forte, quando se considerou GFA ausente + FS alterados (RP=11,9) e GFA ausente + FS alterados + OAV alterados (RP= 6,68). O teste do qui-quadrado, com corre??o pela t?cnica de Yates, mostrou uma rela??o altamente significativa, quando envolvido o GFA. Assim, o GFA ausente foi mais expressivo no PNA que os FS e as OAV alterados. A associa??o se torna ainda mais forte a ponto de estabelecer uma rela??o com valor progn?stico, quando o GFA se encontra-se combinado com o FS. Embora estatisticamente significante, n?o houve associa??o quando as OAV se encontra isoladas em compara??o aos demais par?metros. Os dados obtidos neste estudo permitem afirmar que, entre os grafo- elementos do sono, o GFA, quando ausente nas faixas et?rias de 3 meses a 5 anos, ? um indicador de comprometimento neurol?gico, sendo tal conclus?o mais expressiva do que os par?metros FS e OAV. O GFA ? um par?metro idade dependente e deve ser valorizado e incorporado, sistematicamente, aos crit?rios de interpreta??o do tra?ado EEG do sono de crian?as, tanto no ponto de vista da avalia??o maturacional como dos dist?rbios neurol?gicos com comprometimento encef?lico

The glymphatic system (GS) is primarily a neural waste clearance system that relies on cerebrospinal fluid (CSF) to transport neuronal byproducts and nutrients. Studies demonstrate that sleep facilitates movement within the GS to clear metabolites and maintain cerebral homeostasis. However, functions of the GS during sleep and its implications have predominantly been examined in animals, clinical/at-risk, and ageing populations. Our understanding of the neural mechanisms underlying GS during sleep in typically developing human infants is limited. The objective of this study was to investigate the relationship between GS imbalance (characterized by extra-axial CSF [EA-CSF] from MRI structural images) and sleep problems in early development. Data from 75 infants were obtained from the Baby Connectome Project. Sleep was indexed with the Brief Infant Sleep Questionnaire. Multilevel models were utilized to explore the associations of EA-CSF volumes and EA-CSF/total cerebral volume (TCV) ratios with age and sleep. We replicated previous findings on lower TCV and overall CSF volumes in infants with dysregulated sleep compared to infants with regulated sleep. Results also demonstrated a decline in EA-CSF/TCV ratios from 9 to 34 months of age (b = -0.0005, <i>t</i> = -2.19, <i>p</i> = .032). Sleep problems were not associated with differential developmental trajectories of EA-CSF volumes or EA-CSF/TCV ratios. Findings from the present study do not support sleep problems as a mechanism through which CSF disbursement within the GS is altered. Although elevated EA-CSF is associated with developmental and neurodegenerative pathology, in early typical development, its links with sleep dysregulation are not robust.

<p>The manifestations of early sleep disturbances on cerebrospinal fluid and their relations with early developmental competencies are understudied. Recent studies highlight cerebrospinal fluid disbursement as a potential factor associated with dysfunctions in brain development. With two studies, we explored sleep and extra-axial cerebrospinal fluid (EA-CSF) connection as a potential mechanistic pathway by which sleep dysregulation influences brain and behavior development. Specifically, we evaluated associations between (1) EA-CSF to total cerebral volume (EA-CSF/TCV) ratios, (2) parent-report of child sleep problems, and (3) social communication development in typical (Study 1) and atypical populations (Study 2). In typical infants, early sleep problems did not precede later elevated EA-CSF/TCV ratios or social-communicative competence. Elevated EA-CSF/TCV ratios were associated with impaired social communication skills, suggesting that a relationship between elevated EA-CSF/TCV ratios and social communication impairments exists regardless of neurological or sleep problems. In an atypical population with autism spectrum disorder (ASD), older children with ASD had similar EA-CSF/TCV ratios to a group of their typically developing peers. Sleep problems were negatively associated with EA-CSF/TCV ratios but positively associated with social-communicative impairments for children with ASD, highlighting the influence of sleep problems on both brain and behavioral outcomes in an atypical population. In both studies, EA-CSF volumes continue to increase during early development in the typically developing populations (but not later in the atypical sample), underlining its relevance as a marker of atypical processing. Recognizing the potential roles of EA-CSF in influencing several biosocial and behavioral aspects of development, we encourage researchers to continue to explore EA-CSF growth, especially during developmental periods of flux and transition. Future work with longitudinal data can also serve to explore sleep-related developmental changes in EA-CSF, in association with behavioral and phenotypic changes. </p>