Abstracts / Sleep Medicine 14S (2013) e165–e238
anxiety reduced from 32.5 before treatment to 13.6 after treatment (p = 0.0024), and sleep quality improved from 12.67 in the pre- treatment to 5.58 post-treatment (p = 0.00004). Conclusion: It was concluded that Watsu method was effective in improving symptoms in patients with fibromyalgia related to pain, anxiety and sleep quality. Acknowledgement: Thanks to the support and encouragement Unilavras research. http://dx.doi.org/10.1016/j.sleep.2013.11.424
Assessment questionnaire of children with Sleep Apnea (TUCASA): translation, cultural adaptation and validation J. Resende Silveira Leite, V. Ruotolo Ferreira, L. Fernandes Do Prado, G. Fernandes Do Prado, L. Bizari Coin De Carvalho Introduction: Tucson Children ‘s Assessment on Sleep Apnea Study (TuCASA) was developed by Goodwin and coworkers in the United States - Tucson in 2003. It is a questionnaire consisting of 13 questions that assess the symptoms of Sleep Disordered Breathing (SDB) in children from 04 to 11 years. The aim of this study was to translate, culturally adapt and validate the questionnaire TuCASA to Brazilian Portuguese. Materials and methods: It was performed in the 1st phase: translation, synthesis of translations, back translation, committee review and technical test with 30 children. The instructions of the scale and its items were adapted, taking into account the semantic, conceptual, experiential and cultural equivalences. We are holding the 2nd phase, validation of the questionnaire at Neurosono Sleep Center, Unifesp, São Paulo SP, Brazil and at Unilavras, Lavras MG, Brazil, in 60 children diagnosed with SDB and 60 children without the diagnosis of SDB by polysomnography. Results: Preliminary Results: Up to now, 59 questionnaires were applied, 19 children with SDB, 20 with primary snoring and 20 without DRS. Conclusion: The questionnaire demonstrates to be a suitable instrument for checking symptoms of SDB that will assist in the indication of polysomnography diagnostic. Acknowledgements: Thank Capes, CNPq and institutions UNILAVRAS and UNIFESP. http://dx.doi.org/10.1016/j.sleep.2013.11.425
Utility of the statistical and nonlinear analysis for the actigraphic sleep pattern characterization D. Martin Martinez 1, P. Casaseca De La Higuera 1, C. Alberola Lopez 1, J. Garmendia Leiza 2, J. Andres De Llano 3, S. Alberola Lopez 4 1 LPI Research Group, ETSI Telecomunicacion, University of Valladolid, Spain 2 EAP Jardinillos, SACYL, LPI Reserach Group, Spain 3 Servicio de Pediatria, CAP Palencia, LPI Research Group, Spain 4 EAP Jardinillos, SACYL, Spain
Introduction: Actigraphy is a useful tool for the assessment of the sleep pattern being mainly addressed by means of the Sadeh’s algorithm; hence several aspects of sleep, such as regularity, have not been appropriately studied so far. This paper strives for showing the utility of both analysis of the sleep registries to complement the sleep pattern characterization. The discriminant capability of some statistical and nonlinear features has been evaluated over two cohorts (institutionalized and non-institutionalized elderly) in
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which the features resulting from the Sadeh’s algorithm do not show significant differences. Materials and methods: Case/control study of elderly patients (65 years older). The case group was 144 institutionalized patients, while the control group were 124 patient home-living. Subjects were monitored with the Actigraph GT3x device, 24 h a day from Monday to Thursday, using 1 s epochs. Statistical features are composed by the mean, median, standard deviation, the interquartile range and the variation coefficient (VC). Nonlinear features are formed by those extracted through the analysis with the central tendency measure (CTM) and symbolic dynamics (SD). CTM evaluates the regularity at the ro scale (ro = 0, typically), while the SD (3 symbols long alphabet; 2 symbols/word) provides a set of word appearance probabilities that indicates either regularity or variability; Besides, the Shannon’s entropy (ES) has been also included as complexity measure. All these features have been analysed by means of the U-test of Mann–Whitney to determine the existence of significant differences between the cohorts. Results: As for the statistical features, only the VC shows significant differences, being higher in the control group (p < 0.05). Regarding the nonlinear features, both CTM and SD give out discriminant features; specifically, the control group shows higher values of CTM (p < 0.04), P02, P20 and P22 (p < 0.02), whereas higher values of ES are achieved in the case group (p < 0.05). Conclusion: Both the VC, the CTM and the SD are useful to complement the characterization of the sleep pattern. In the current study, these features allow for the assessment of the regularity and the intensity of activity during sleep. Results of both the CTM and the ES point out that the activity of institutionalized elderly is less regular than the activity of those who live at home, which is in line with the results of P22. Acknowledgement: Research supported by the Health Service of the Regional Government of Castilla y Leon. http://dx.doi.org/10.1016/j.sleep.2013.11.426
Influence of institutionalization on the sleep pattern in elderly population J. Garmendia Leiza 1, M. Aguilar Garcia 2, J. Andres De Llano 3, D. Martin Martinez 4, P. Casaseca De La Higuera 4, C. Alberola Lopez 4 1 EAP Jardinillos (SACYL) Palencia, LPI Research Group, University of Valladolid, Spain 2 SACYL, EAP La Puebla, Spain 3 SACYL, Servicio de Pediatria, Cap Palencia, Spain 4 University of Valladolid, LPI Research Group, ETSI Telecomunicacion, Spain
Introduction: More common health complaints in institutionalized patients are insomnia and sleep disorders comparing with home-living elderly patient. The aim of this study was for analyze sleep pattern in elderly population, comparing institutionalized elderly and home-living elderly. Materials and methods: Case and control study comparison between 266 elderly patients (65 year older), 142 institutionalized whereas the control group was 124 patients living at home. Subjects were monitored with the Actigraph GT3x device (placed on the right wrist) 24 h a day during seven consecutive days, using 1 s lasted epochs. The sleep patterns of both groups have been extracted through the well known Sadeh’s algorithm and analysed by means of the U-test of Mann–Whitney (a non-parametric variant of the Student’s t-test) in order to determine the existence of statistically significant differences between the groups under analysis.