Movement Disorders Board #037: P6 - Wednesday USE OF OCCLUSAL SPLINT OR MANDIBULAR ADVANCEMENT APPLIANCE BY SLEEP BRUXISM PATIENTS DO NOT NORMALIZE AROUSAL RELATED HEART RATE VARIABILITY S. Abe1,2, P.H. Rompré2, N.T. Huynh2,3, A. Landry-Schönbeck2, M.-L. Landry2, P. de Grandmont2, F. Kawano1, G.J. Lavigne2,3 1Department of Comprehensive Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan, 2Faculté de Médecine Dentaire, Université de Montréal, 3Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, Canada Introduction: Oral appliance is among first-line therapy for sleep bruxism (SB). However, mechanism of action for SB remains unknown. The aim of study is to assess if changes in heart rate variability (HRV) related to SB arousal could explain their action. Materials and methods: A retrospective analysis of sleep from 20 SB subjects (25.8 ± 4.6 years) was done on data previously collected in a sleep laboratory (Landry-Schönbeck et al 2009, Landry et al 2006 in Int J Prosthodontic). The inclusion criteria were: frequent tooth-grinding sound reported at least 3 times a week over previous 6 months, tooth grinding-SB confirmed by polygraphic (PSG) recordings with audio/video monitoring. We compared PSG data without oral (no appliance night) vs. PSG with occlusal splint (OS) or mandibular advancement appliances (MAA; at the 75% advancement) after short term use (7 nights). Rhythmic masticatory muscle activity (RMMA) index (event/hr) were compared between no appliance night and OS or MAA PSG night recordings using Friedman test followed by Wilcoxon signed ranks test corrected by Bonferroni. HRV was evaluated in the time domain (RR mean) and the three frequency domains (normalized HF - parasympathetic and LF, LF/HF for sympathetic dominance) during non-REM and REM sleep using autoregressive model analysis (to monitor small fluctuation in HRV) with RemLogic. Three PSG sections were selected for analysis: i) BASELINE (quiet segment removing 8minutes before RMMA onset and 28 minutes after RMMA onset, and other movements), ii) BEFORE RMMA onset (minutes 8 to 0 min before RMMA onset), and iii) AFTER RMMA (onset time 0 up to 8 minutes after). Sleep quality was assessed on a 100 mm VAS on morning. Results: As expected from our previous publications, both OS and MAA lowered the index of RMMA episodes during both non-REM and REM sleep (P ≤ 0.01). The non-REM parasympathetic activity was significantly reduced (P = 0.036) across three observation nights (for BASELINE segment: 53.6 to 49.9 and 48.6; for BEFORE RMMA: 52.7 to 48 and 51 from no appliance to OS and MAA nights, respectively).However, the changes between each night did not have significantly difference using post-hoc test. During non-REM sleep, for the AFTER RMMA segments, the expected reduction in parasympathetic and rise in sympathetic activities was significantly different (p ≤ 0.001) but comparisons between no appliance and the 2 appliance nights did not revealed any difference. No difference in self report of sleep quality was reported this regardless the use or not of an oral appliance. Conclusion: During non-REM sleep, short term (7 nights) use of OS of MAA seem to alter parasympathetic cardiac and respiratory nervous system activity suggesting a mild interference on sleep stability not reflected in self reports of sleep quality. The short term efficacy of OS and MAA in reducing RMMA index during sleep do not seem to be associated to autonomic nervous systems changes, i.e., a rise in parasympathetic (calming effect) and the concomitant reduction in sympathetic activity (arousal effect). Acknowledgements: This study was supported by a CIHR and Canada Research Chair to GL. Sleep Breathing Disorders Board #103: P1 - Monday TREATMENT OF OBSTRUCTIVE SLEEP APNEA DECREASES THE RECURRENCE OF ATRIAL AND VENTRICULAR ECTOPY IN PATIENTS WITH ATRIAL FIBRILLATION A.M. Abumuamar1,2, P. Dorian3, D. Newman4, P. Sandor1, C. Shapiro1 1Department of psychiatry, Toronto Western Hospital, University Health Network, 2Institute of Medical Science, Faculty of Medicine, 3Cardiology, St. Michael's Hospital, 4Cardiology, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada Introduction: Obstructive Sleep Apnea (OSA) has been recognized as an independent risk factor for the development and progression of atrial fibrillation (AF). OSA decreases patients' response to anti-arrhythmic medication, and decreases the success rate of surgical ablation of AF. OSA remains undiagnosed in many patients with AF. There is evidence that continuous positive airway pressure (CPAP) treatment decreases the activity of the sympathetic nervous system and oxidative stress, which play a crucial role in the development of AF. We aimed to determine the prevalence of undetected OSA among patients with AF, and to investigate the effects of CPAP therapy on measures of arrhythmia burden. Materials and methods: Unselected consecutive patients presenting to arrhythmia clinics were recruited. We included adult males or females without previous diagnosis and/or treatment of OSA. All patients had stable drug therapy with either permanent or paroxysmal AF with atrial ectopy. Patients underwent ambulatory sleep studies for two consecutive nights. OSA was defined as an Apnea-Hypopnea-Index (AHI) ≥5/hour of sleep. Patients with OSA were subsequently treated with CPAP therapy, and completed a formal CPAP titration study in a sleep clinic. A 24-h ECG holter was repeated after three months of CPAP treatment. Results: Ninety-eight patients (72%males) with AF were recruited. Eight-three percent met diagnostic criteria of OSA. Age (p=0.007) and male Gender (p= 0.011) were the only predictors of OSA. Thirty-four patients completed three months of CPAP therapy and a 24-h follow-up ECG holter. In patients with permanent AF (n=11), CPAP had no significant effect on the mean heart rate. In patients with paroxysmal AF (n=23), CPAP significantly decreased atrial premature beat count/hour (median (IQR) 244 (1694) to 57 (202), p=0.006), and ventricular premature beat count/hour (median (IQR) 49 (118) to 5 (104), p=0.01). Conclusions: Eighty-three percent of patients with AF have previously undetected OSA. CPAP treatment of OSA is associated with a significant decrease in the frequency of atrial and ventricular ectopy within three months. CPAP treatment of OSA may reduce the risk of AF recurrence. Sleep Breathing Disorders Board #089: P6 - Wednesday OBSTRUCTIVE SLEEP APNEA IS HIGHLY UNDETECTED IN NON-OBESE PATIENTS WITH ATRIAL FIBRILLATION A.M. Abumuamar1,2, P. Sandor1, P. Dorian3, D. Newman4, C. Shapiro1 1Department of Psychiatry, Toronto Western Hospital, University Health Network, 2Institute of Medical Science, Faculty of Medicine, 3Cardiology, St. Michael's Hospital, 4Cardiology, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada Introduction: Obstructive sleep apnea (OSA) is a sleep disorder associated with several cardiovascular morbidity. OSA is an independent risk factor for the development and progression of atrial fibrillation (AF). We aimed to estimate the prevalence of OSA in patients with AF, and to investigate the relation between obesity and OSA in these patients. Materials and methods: We prospectively recruited unselected patients presenting to AF clinics. We included all adult patients, males or females, with no previous diagnosis or treatment of OSA. Patients' medical history and demographic characteristics were collected from medical charts. Patients underwent an ambulatory sleep study. Patients were diagnosed with OSA if they have an apnea-hypopnea-index (AHI)>5/hour. Obesity was defined as a body-mass-index (BMI) ≥30 kg/m2. Results: One hundred patients (70% males) with AF and unknown status of OSA were recruited. Mean age was 64±13 years. Mean BMI was 28.7 ± 5.8 kg/m2 (range:17-47). Thirty-four percent of patients were obese. OSA was diagnosed in 85% of the population. Mean AHI was 22.79 ± 16/h. Fifty-five percent had an AHI≥15/h (moderate/severe OSA). Obesity was prevalent in 40% of patients with OSA. Statistical analyses showed a positive correlation between BMI and AHI (p=0.004). However, obesity was not a predictor of the presence of OSA in these patients. Conclusions: OSA is present in 80% of non-obese, and in 97% of obese patients with AF. Obesity does not predict the presence of OSA in this population. The clinical characteristic features of OSA do not seem to reliably predict the presence of OSA. A low threshold for assessing sleep in patients with AF is merited. Sleep Breathing Disorders Board #120: P5 - Wednesday CLINICAL AND POLYSOMNOGRAPHIC DIFFERENCES IN ELDERLY PATIENTS WITH OBSTRUCTIVE SLEEP APNEA (OSA) M. Erdemir Isık1, B. Gulbay2, T. Acican2, F. Çiftçi2, Z.P. Önen2, A. Azeez2, K. Turkel2 1Pulmonary Disease, Denizli Buldan Abdullah Sayiner Chest Disease Hospital, Denizli, 2Deparment of Pulmonary Disease, Ankara University School of Medicine, Ankara, Turkey Introduction: Although sleep related complaints are common in the community, there is little information on the clinical and polysomnographic differences elderly patients with obstructive sleep apnea (OSA). Aim: We aimed to compare the clinical and polysomnographic differences among elderly and middle aged patients with OSA. Materials and methods: We retrospectively reviewed the polysomnography files of 216 (100 F/116 M) OSA patients (Apnea-Hypopnea Index >=5/hour) who underwent polysomnography between 2011 and 2014. The patients were divided into two groups: young-middle aged (< 65old) (group 1), elderly (>=65old) (group 2). We compared symptoms, comorbidities, and polysomnographic findings of the patients. Results: There were 185 patients (82 F/103 M) in group 1 and 31 patients (18 F/13 M) in group 2. There was no difference in gender distribution, OSA-related symptom frequency and Epworth sleepiness scale in two groups (p>0.05). Statistically, hypertension, atherosclerotic cardiac disease, diabetes mellitus, depression, and COPD were more frequent in the group 2 (p=0.05, p=0.005, p=0.002, p=0.007, p=0.015, respectively). Although statistically nonsignificant in the group 2 patients, TST and sleep efficiency were lower whereas the AHI was more high and average oxygen saturation at sleep was lower and in the group 1 patients the arousal index was more high (p>0.05). There was no difference between the two groups in terms of mean apnea duration (p>0.05). Conclusions: Although the number of elderly OSA is low in our study, we found that OSA patients had similar symptom and polysomnographic findings independent of age. Considering the accompanying diseases, it was thought that OSA should not be overlooked in elderly patients. Acknowledgements: Chronobiology/Circadian Disorders Board #022: P6 - Wednesday IRREGULAR SLEEP-WAKE RHYTHM DISORDER IN A YOUNG WOMAN WITH TOWNES- BROCKS-SYNDROME J. Acker1,2, L. Gerber3, A. Nirkko4,5 1Clinic of Sleep Medicine, Bad Zurzach, Switzerland, 2University of Bayreuth, Bayreuth, Germany, 3Kantonsspital Aarau, Aarau, 4Clinic of Sleep Medicine, Lucerne, 5Neurology, University Hospital, Bern, Switzerland Introduction: Referral of 22-year-old former psychology-student from oncology unit. Presenting with lack of energy during daily activities, major performance problems with concentration deficits, reporting refreshing sleep with duration of 8-9 hours. Bed times 03:00am-11:00am, naps non-refreshing. ESS(Epworth-Sleepiness-Scale) normal 3/24, ISI(Insomnia-Severity-Index) normal 6/28, FSS(Fatigue-Severity-Scale) pathologic 6/7. Gave up her studies and returned home 3 years before presenting in our sleep clinic. General practitioner assumed personality disorder. Materials and Methods: Sleep diary and actigraphy showed irregular sleep wake type, subjective sleep time 6,5-14 hours of refreshing sleep, performed indoor activities only (reading, house work), few social contacts. Psychiatric exploration without pathological findings besides social withdrawal. Former macroadenoma of the pituitary gland, adenomectomy 2012, MRI controls for 3 years unremarkable. Results: Saliva sampling of Melatonin performed at home under dim light conditions showed a DLMO (Dim- Light-Melatonin-Onset) at approx. at 5:00am (4pg/ml). Chronotherapy trial with melatonin retard formula 2mg at 8:30pm and timed light exposure in the morning hours results in massive improvement of daily functioning and circadian rhythm. Follow up history at 3, 6 and 9 months shows stable functioning with bed times between 10:00pm-06:00am, return to studying planned. Further genetic typing reveals Townes-Brocks-Syndrome with heterozygous SALL1 pathogenic variant and chronic renal impairment with persisting microalbuminuria. Slight foot and thumb malformations, no further deformities found, especially no eye anomalies. Conclusions: Chronotherapy (melatonin retard 2mg and daily bright light exposure) led to massive improvement of irregular rhythm in a case of Townes-Brocks-Syndrome [1], showing also a delayed DLMO (after withdrawal of oral melatonin retard 2mg). Multiple endocrine abnormalities have been reported in cases with proven SALL1 gene mutation so far [2], though no connection to circadian function in normal sighted individuals. References: 1. Kohlhase J (1993) Townes-Brocks Syndrome. In: Pagon RA, Adam MP, Ardinger HH et al. (eds) GeneReviews (R), Seattle (WA) 2. Lawrence C, Hong-McAtee I, Hall B et al. (2013) Endocrine abnormalities in Townes-Brocks syndrome. Am J Med Genet A 161A(9): 2266-2273. doi: 10.1002/ajmg.a.36104 Insomnia Board #041: P1 - Monday HANDHELD MOBILE BIOFEEDBACK OF HEART RATE VARIABILITY IN PATIENTS WITH CHRONIC INSOMNIA DISORDER - A PILOT STUDY J. Acker1,2, A. Nirkko3,4, K. Richter5,6 1Clinic of Sleep Medicine, Bad Zurzach, Switzerland, 2University of Bayreuth, Bayreuth, Germany, 3Clinic of Sleep Medicine, Lucerne, 4Neurology, University Hospital, Bern, Switzerland, 5University Clinic for Psychiatry and Psychotherapy, 6Faculty of Social Sciences, University of Applied Sciences Georg Simon Ohm, Nuremberg, Germany Introduction: The hyperarousal concept in patients with insomnia has been tested by measuring autonomous variables, including electrocardiogram (ECG)-derived heart rate and heart rate variability. In stress-related insomnia an elevated nocturnal sympathetic activity was found, while parasympathetic activity was reduced. In this Pilot-study we tested the usefulness of a mobile heart-rate-variability (HRV) biofeedback device in outpatients of a specialized sleep clinic. Materials and methods: Biofeedback of heart rate variability (HRV) was applied to 15 patients with chronic insomnia using a new mobile device named Qiu-Ball allowing regularly recorded self-measurements in the home environment. The pulse rate is measured by optical sensors at the digit of the hand. After detection of the pulse signal, HRV in synchrony with respiration (RSA) respiratory sinus arrhythmia is measured and indicated by the luminescent upper half of the device. Continuously changing colours from red to green are shown, with red light indicating low RSA and green light indicating high RSA. Three exercises of 5 min. per day were recommended. Results: 15 subjects (5 females, 9 males) aged 25-68 (mean=52, SD=13) performed 1437 single exercise sessions lasting 5min each, practicing at home. Autonomic function was assessed before, at 4 weeks after and at the end of the 3-month training period (mean=104 days, SD= 59). Training frequency ranged from 12 to 242 individual sessions (mean=101 sessions, SD=73); subjects with less than 30 sessions were excluded from analysis (4 dropouts). The most important parameters for analysis were HF mean, RR mean, SDNN, grade of rhythmization GR. 6 patients showed positive trends of HRV parameters, in 3 subjects we found a total negative trend in technical variables, 2 subjects showed unchanged HRV. The clinical outcome did not fully correspond to the development of cardiac parameters. Conclusions: HRV Biofeedback has been proposed as treatement tool for insomnia beforehand. [1] The used handheld spheric device (Qiu-Ball) provides evidence for good patient compliance and may also be used as a diagnostic screening tool. [2] Further studies with larger samples are needed to assess the benefit on clinical outcomes in insomnia. [3] References: 1. McLay RN, Spira JL (2009) Use of a portable biofeedback device to improve insomnia in a combat zone, a case report. Applied psychophysiology and biofeedback 34(4): 319-321. doi: 10.1007/s10484-009-9104-3 2. Druschky K, Druschky A (2014) Mobile biofeedback of heart rate variability in patients with diabetic polyneuropathy: a preliminary study. Clin Physiol Funct Imaging: n/a. doi: 10.1111/cpf.12130 3. Spiegelhalder K, Fuchs L, Ladwig J et al. (2011) Heart rate and heart rate variability in subjectively reported insomnia. J Sleep Res 20(1 Pt 2): 137-145. doi: 10.1111/j.1365-2869.2010.00863.x Sleep Breathing Disorders O09: Sleep breathing disorders oral abstract presentations REM-ASSOCIATED SLEEP DISORDERED BREATHING: PREVALENCE AND CLINICAL SIGNIFICANCE IN THE HYPNOLAUS COHORT P. Acosta-Castro1, P. Marques-Vidal2, P. Vollenweider3, N. Tobback4, J. Haba-Rubio4, R. Heinzer4 1Pulmonary Department, University Hospital Ramon y Cajal, Madrid, Spain, 2Department of Internal Medicine, 3Deprtment of Internal Medicine, 4Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), Lausanne, Switzerland Introduction: Nocturnal respiratory events are usually more frequent and of longer duration in rapid eyes movement sleep (REM) compared with non-REM sleep (NREM), probably due to greater pharyngeal muscle relaxation and a reduction in the hypoxic and hypercapnic ventilatory response throughout . However, the prevalence and clinical impact of REM-related sleep-disordered breathing (REM-SDB) are still debated. The aim of this study was to determined the prevalence of REM-related sleep-disordered breathing (REM-SDB) in the general population and to investigate the associations between REM-SDB and hypertension, metabolic syndrome, diabetes and depression. Materials and methods: 2074 home polysomnography (PSG) recordings from the population-based HypnoLaus Sleep Cohort (48.3% men, 59±11 years old, body mass index 25·6 ± 4·1 kg/m2) were analysed. The apnea- hypopnea index was measured during REM (REM-AHI) and non-REM (NREM-AHI) sleep. Regression models were used to explore the association between REM-SDB and hypertension, diabetes, metabolic syndrome and depression in the entire cohort and in subgroups with NREM-AHI ≤10/h and total AHI ≤10/h. Results: The prevalence of REM-AHI ≥20/h was 40.8% in the entire cohort, 59.8% among subjects with NREM AHI < 10/h (n =1241), and 50.5% among subjects with a total AHI < 10/h (n=1047). An independant association between increasing REM-AHI and metabolic syndrome was found in the entire cohort and in both subgroups (p-for-trend=0.007, 0.004 and 0.0035, respectively). An association was also found between increasing REM-AHI and depression in the entire cohort and in the subgroup with NREM-AHI < 10/h (p-for-trend=0.026 and 0.013, respectively) and between increasing REM-AHI and diabetes (p-fortrend=0.017) in the subgroup with NREM-AHI< 10/h only. Although we found no association between REM-AHI and hypertension, diastolic blood pressure was positively associated with REM-SDB (p= 0.007). Conclusions: REM-SDB was highly prevalent in our middle-to-older age population-based cohort and was independently associated with metabolic syndrome, diabetes and depression. These findings suggest that an increase in REM-AHI could be clinically relevant. Sleep Breathing Disorders O16: Sleep breathing disorders oral abstract presentations EFFECT OF SLEEP APNEA AND INSOMNIA ON THE ASSOCIATION OF DEPRESSION WITH QUANTITATIVE ELECTROENCEPHALOGRAM MEASURES (QEEG) IN ADULT MEN DURING SLEEP - THE MAILES STUDY R. Adams1, S. Appleton1, A. Vakulin2, A. D'Rozario3, R.D. McEvoy2, P. Catcheside2, S. Martin4, C. Lang1, A. Vincent4, G. Wittert4 1Adelaide Medical School, The University of Adelaide, Woodville, 2Adelaide Institute of Sleep Health, Flinders University of South Australia, Daw Park, 3Woolcock Institute of Medical Research, University of Sydney, Sydney, 4Freemason's Foundation Centre for Men's Health, The University of Adelaide, Adelaide, Australia Introduction: Quantitative EEG (qEEG) abnormalities are present in 80% of patients with psychiatric disorders. Small studies of resting, awake qEEG in patients with depression show variation in findings. Both increase and decrease in slow wave activity has been reported in depressed patients in addition to increased alpha and beta activity. We have previously shown co-morbid sleep apnea and insomnia have additive effects on depression prevalence and severity. We aimed to determine the effect of sleep apnea and insomnia symptoms on the relation between sleep qEEG parameters and depression in a large sample of community dwelling men. Materials and methods: Data were drawn from a randomly-selected cohort of men aged ≥40y at recruitment (2002-5) in Adelaide, South Australia. (MAILES study). Of the 837 men with no prior OSA diagnosis who underwent full in-home polysomnography (Embletta X100; 2010-11), the C3 EEG tracings in n=635 men with known depression status were subjected to quantitative power spectral analysis. PSG variables were log transformed to normalise the distribution for regression against AHI adjusted for age. EEG short and longwave densities consisted of alpha/sigma/beta and delta/theta waves respectively, and distinguished between stages (S2 v SWS v REM). The axes variation across the cohort determined by principal component analysis (PCA). Depression symptom scores were regressed onto log transformed short and longwave EEG measures adjusting for age, AHI, BMI, financial stress, insomnia symptoms, marital status and medication. A sensitivity analysis was performed using linear regression of depression scale scores to confirm findings. Results: EEG measures were moderately correlated (median=0.5, r=0.2-0.8). PCA indicated 3 major axes of variation: (PC1) activity level, (PC2) REM vs SWS and (PC3) long v short. Linear regressions indicated associations with PC1 (p=0.003) and PC3 (p=0.05) indicating depression more prevalent in individuals with elevated shortwave densities. Repeating the analyses with short and longwave measures separately confirmed this conclusion. Short wave densities, irrespective of stage, were associated with depression while long wave were not. Other factors associated with depression in this analysis were elevated AHI (p=0.01), financial stress (p=0.002), having a partner (p=0.04), medication (p< 0.001) and insomnia (p< 0.001), but not age (p=0.21) nor BMI (p=0.78). EEG measures explain a greater proportion of the variance in outcome compared to AHI (full model R2=23.8%, excluding AHI R2=23.0%, excluding EEG R2=22.1%). Conclusions: Depression was associated with increased fast wave activity in community dwelling men. After further adjustment for insomnia symptoms and AHI, long-wave (slow) activity was no longer associated with depression. qEEG from sleep studies may add useful information to AHI in identifying sleep apnea clinical phenotypes at-risk for depression. Power spectral analysis data are recorded in sleep studies although not routinely reported, and can be easily accessed using available algorithms. Acknowledgements: Supported by funding from the National Health and Medical Research Council of Australia; the ResMed Foundation, the Freemason´s Foundation Centre for Men´s Health and the National Heart Foundation of Australia. Basic Research Board #018: P1 - Monday ARE SLEEP, BULLYING, AND BREAKFAST AND JUNK FOOD CONSUMPTION RELATED TO ANXIETY, SADNESS AND HEALTH IN LATE CHILDHOOD AND ADOLESCENCE? A. Agostini1, A. Hawkes2, A. Lewkowicz2, K. Lushington1,3, J. Dorrian1,3 1Centre for Sleep Research, University of South Australia, 2Department for Education and Child Development, South Australian Government, 3School of Psychology, Social Work and Social Policy, University of South Australia, Adelaide, Australia Introduction: Late childhood and early adolescence are important developmental times, where behaviour patterns (e.g. in diet and sleep) that are established often continue into adulthood. Also at this time, mood disruption and mental health issues such as sadness and anxiety become more prevalent. Research has demonstrated relationships between sleep, diet, mood and health. However, many of these studies are in small cohorts, and few have measured diet, sleep, health and other psychosocial factors that may also have an impact, such as experiences of bullying. This study assessed the impact of sleep, diet, and bullying on self-reported sadness, anxiety, and health in a large sample of South Australian children and adolescents. Materials and methods: 29,501 children and adolescents (9 - 17 y; M = 13.24 y, SD = 1.17 y) from South Australian schools completed the Middle Years Development Instrument in 2015, which consists of 74 questions about demographics (age, SES, sex), sleep (bedtime, frequency of obtaining a good night's sleep), diet (frequency of breakfast; junk food consumption), bullying, health, sadness, and anxiety. Those with missing data on core variables were excluded from analysis, leaving a final sample of 27,025 (M = 12.76 y, SD = 1.22 y). Results: 21.5% of participants reported obtaining a good night's sleep less than three times a week, 15.7% reported a weeknight bedtime of after 11pm, 18.2% reported eating breakfast less than three times per week, 29.6% reported consuming junk food at least five times per week, and 9.6% reported being bullied many times per week. These factors significantly increased the odds of participants reporting high (compared to low) sadness (p< 0.004) and fair to poor (compared to excellent) health (p< 0.001), while all except breakfast consumption significantly increased the odds of participants reporting high (compared to low) anxiety (p< 0.001), controlling for age, sex, and SES. Conclusions: Late bedtimes, poor sleep quality, regular junk food consumption, infrequent breakfast consumption and bullying were associated with increases in self-reported sadness, anxiety and impaired health in school students. Interventions to promote the importance of bedtime and morning routines, alongside bullying prevention programs in schools may help to lower sadness and anxiety and to improve health in children and adolescents. Aging and Developmental Issues Board #001: P5 - Wednesday SLEEP CHARACTERISTICS IN CHILDREN WITH SPECIFIC LANGUAGE IMPAIRMENT: STUDY IN 72 PATIENTS M. Aguilar Andújar, C. Menéndez de León, I. Ramos Sánchez, C. Gutiérrez Muñoz, L. Carranza Amores Virgen Macarena Hospital, Seville, Spain Introduction: Sleep is important for learning, memory and underlying neural plasticity. Studies support than children utilize a dual memory system when acquiring and integrating new vocabulary, and sleep (especially sleep spindles, slow waves sleep and REM sleep) is important for this process. We aimed to describe sleep characteristics in children with diagnosis of specific language impairment because sleep disruption, especially of the microstructure, could have an important role in the development and evolution in these patients. Materials and methods: Descriptive analysis was performed in children with specific language impairment (from Janury 2011 to June 2016). The inclusion criteria were diagnosed of specific language impairment with development quotient > 70 in Brunet-Lezine Scale, normal craneal MRI, without epileptiform discharges in EEG, no hearing impairment, no other disorders and with parents in medium-high sociocultural level. Children participated in a polysomnographic (PSG) sleep recording. Sleep disorders like Obstructive Sleep Apnea Pediatric (OSAP), Periodic Limb Movement during Sleep (PLMS) and parasomnias, and sleep characteristics like sleep stages percentage, spindles characteristics, presence of significant alpha rhythm during sleep (alpha-delta sleep), microarousal index, sleep efficiency and awakenings episodes were analyzed. Results: 30 children (24 boys and 6 girls) with 3-5 years old. We found OSAP only in one patient, and parasomnias in 2 patients. However, it was relevant data about PLMS, because 83.3% present a significant number of them with an average index of 8.01 (6.81±9.28). We found an average of 4.073%±3.41 of stage 1, 40.76±8.89 of stage 2, 25.381±6.91 of stage 3, 25.587±6.91 of stage REM, 89.24±41.93 of body movements, 3.39±1.81 awakening episodes ≥5 min, 82.47±15.62 of sleep efficiency (66.66% presented sleep efficiency < 90%), 39.31±11.53 of microarousal index, 66.7% present significant percentage of alpha rhythm during sleep and 66.7% presented unsuitable spindles. Conclusions: We observed that although the sleep architecture in terms of the macrostructure, like time spent in the different stage of sleep, appears to be not consistently altered, it is very important the analysis of the microstructure because specific features would be altered in these patients and could be in relation with the problem of language skills. Specific treatment for specific sleep disorder like PLMD and treatment to stabilize sleep structure, could improve the symptomatology in these patients.

use of occlusal splint or mandibular advancement appliance by sleep bruxism patients do not ...

Similar use of occlusal splint or mandibular advancement appliance by sleep bruxism patients do not ...