Thesis (M.Med.Sc.)--University of Hong Kong, 2004. / Also available in print.

Thesis (M.Med.Sc.)--University of Hong Kong, 2004. / Also available in print.

Thesis (Ph.D.)--Victoria University (Melbourne, Vic.), 2009.

Thesis (B.A. (Hons.)) - University of Queensland, 2004. / Includes bibliography.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

Thesis (Ph.D.)--University of Nebraska-Lincoln, 2006. / Title from title screen (site viewed June 11, 2007). PDF text: viii, 133 p. : ill. UMI publication number: AAT 3239364. Includes bibliographical references. Also available in microfilm and microfiche formats.

No description available.

The available evidence suggests insomnia is common in individuals who experience psychosis. Poor sleep within this population has been associated with numerous detriments to mental health and well-being. Nevertheless, the majority of work to date has focused on chronic presentations, with few studies investigating the role of insomnia in recently onset psychosis. Understanding and treating psychosis following the first presentation is important to promote recovery and prevent the development of long-term illness. This work therefore aimed to utilise mixed methods to comprehensively investigate insomnia in early psychosis. It is presented in a series of five research papers, supplemented by additional chapters to provide an introduction, additional methodological details and general discussion. Paper one presents a systematic review, which aimed to synthesise the relevant literature with regards to the nature and correlates of insomnia in early psychosis. Paper two utilised qualitative methods aiming to understand the experience of insomnia, its impacts and experiences of help-seeking in early psychosis. Paper three aimed to investigate the nature of insomnia symptoms in first episode psychosis, compared to a healthy control group, using actigraphy and sleep diary measurement over a 14-day period. Paper four aimed to investigate how poor sleep was associated with next-day mental health and functioning, presenting data from an electronic diary study conducted alongside the sleep profiling presented in paper three. Paper five aimed to assess the acceptability of a Brief Behavioural Treatment for Insomnia (BBTI) delivered to a first episode psychosis group. Findings across studies indicated insomnia to have a wide range of detrimental outcomes, indicating the treatment of insomnia may be an important target for relevant mental health services.

Objectives: To investigate slow wave sleep (SWS) spectral power proportions in distinct clinical conditions sharing non-restorative sleep and fatigue complaints without excessive daytime sleepiness (EDS), namely the Chronic Fatigue Syndrome (CFS) and Primary Insomnia (PI). Impaired sleep homeostasis has been suspected in both CFS and PI. Methods: We compared perceived sleep quality, fatigue and sleepiness symptom-intensities, polysomnography (PSG) and SWS spectral power distributions of drug-free CFS and PI patients without comorbid sleep or mental disorders, with a good sleeper control group.Results: Higher fatigue without EDS and impaired perceived sleep quality were confirmed in both patient groups. PSG mainly differed in sleep fragmentation and SWS durations. Spectral analysis revealed a similar decrease in central ultra slow power (0.3-0.79Hz) proportion during SWS for both CFS and PI and an increase in frontal power proportions of faster frequencies during SWS in PI only. The latter was correlated to affective symptoms whereas lower central ultra slow power proportions were related to fatigue severity and sleep quality impairment. Conclusions: In combination with normal (PI) or even increased SWS durations (CFS), we found consistent evidence for lower proportions of slow oscillations during SWS in PI and CFS. Significance:Observing normal or increased SWS durations but lower proportions of ultra slow power, our findings suggest a possible quantitative compensation of altered homeostatic regulation. / Doctorat en Sciences de la motricité / info:eu-repo/semantics/nonPublished

Due to a globally aging population, there is a growing demand for smart home technology which can serve to monitor the health and safety of adults. Therefore, sleep monitoring has emerged as a crucial tool to improve the health and autonomy of adults. While polysomnography (PSG) is an effective and accurate tool for sleep monitoring, it is obtrusive as the user must wear the instruments during the experiment. Therefore, there has been a growing interest in deploying unobtrusive sleep monitoring devices, specifically for long-term patient monitoring. This thesis proposes multiple algorithms applicable to unobtrusive pressure sensitive sensor arrays in order to assess sleep quality. These algorithms can be listed as adaptive movement detection, sensor data fusion and bed occupancy detection. This thesis also investigates long-term sleep pattern changes from previously recorded data. The methods developed in the thesis can be of interest for future clinical remote patient monitoring systems.