Dissertations / Theses on the topic 'Sleep markers'
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Hollway, Jill Ann. "CORRELATES AND RISK MARKERS FOR SLEEP DISTURBANCE IN CHILDREN WITH AUTISM SPECTRUM DISORDERS." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339639912.
Full textLutsey, Pamela L., Faye L. Norby, Rebecca F. Gottesman, Thomas Mosley, Richard F. MacLehose, Naresh M. Punjabi, Eyal Shahar, Clifford R. Jack, and Alvaro Alonso. "Sleep Apnea, Sleep Duration and Brain MRI Markers of Cerebral Vascular Disease and Alzheimer’s Disease: The Atherosclerosis Risk in Communities Study (ARIC)." Public Library of Science, 2016. http://hdl.handle.net/10150/621324.
Full textMarcolongo, Ellen. "The Relationships Between Sleep Disturbances, Depression, Inflammatory Markers, and Sexual Trauma in Female Veterans." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5266.
Full textBlevins, Jennifer Susanne. "The relationship between markers of disease severity in obstructive sleep apnea patients and hemodynamic and respiratory function during graded exercise testing." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/29947.
Full textPh. D.
Alessandria, Maria <1979>. "Sleep motor activity in parkinsonian syndromes at onset: a prospective study to determine potential diagnostic and prognostic markers." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6657/.
Full textWeidenauer, Corina [Verfasser], and Christoph [Akademischer Betreuer] Randler. "Circadian Preference and Amplitude - “Under Consideration of Physiological Markers, Activity and Sleep/Wake Timing as well as References to Attention, Mood and Motivation in Everyday School Life” / Corina Weidenauer ; Akademischer Betreuer: Christoph Randler." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1203726201/34.
Full textPittaras, Elsa. "Marqueurs comportementaux et neurochimiques individuels de la prise de décision chez la souris et effets d'une dette de sommeil." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS122/document.
Full textAffective abilities that rely on the integrity of several neural circuits. In healthy subjects, inter-individual variability during decision-making exists due to genetic, epigenetic and environmental factors. Moreover, many psychiatric and neurobiological disorders are characterized by poor decision-making processes. Therefore, determining behavioral traits and neurobiological substrates involved in these processes is of major interest to unravel markers that could predict the emergence of neuropathologies.Based on the Iowa Gambling Task in humans, we developed a decision-making task in mice that assesses their ability to choose between several conflicting options under uncertainty. Thanks to a differential approach of mice’s behavior, we show that decision-making skills differed between mice: some mice exhibit a rigid behavior and avoid penalty (safe mice); others maintained exploratory behavior even if they took risks (risky mice); a majority of mice exhibit an intermediate behavior (average mice). We found that a combination of behavioral characteristics related to different psychopathologies in humans were specifically associated with extreme behavior in mice: safe mice exhibited a more anxious behavior, a lower prefrontal activation after the MGT than others subgroups of performance together with a lower basal rate of serotonin in the prefrontal cortex. Risky mice displayed a riskier behavior in various behavioral tasks, were less sensitive to reward, and had a lower basal rate of serotonin in the orbitofrontal cortex as well as a higher basal rate of serotonin, dopamine and noradrenaline in the hippocampus.To investigate the consequences of environmental changes on decision-making individual profiles, we performed the MGT on groups of mice either under Acute Sleep Dept (ASD) or under chronic sleep debt (CSD). We show that CSD didn't play any apparent effect but that ASD emphasized decision-making profiles: safe mice became drastically more rigid and avoided penalty; and risky mice chose systematically riskier options and developed rigid and unefficient decisions. These behavioral data could be explained by a decreased serotonin metabolism in the orbitofrontal cortex, an increase in the hippocampus and a high level of dopamine in the caudate putamen, the key brain area of habits.Therefore, in healthy inbred mice the MGT reveals individual inadapted decision-making strategies which are characterized by behavioral and neurobiological substrates exacerbated by an environmental stress. This paradigm also allows the determination of mice vulnerability to develop psychopathologies (e.g. depression, addiction) for which sleep debt could a trigger or a magnifier
Franceschini, Christian <1980>. "REM sleep behavior disorder nella narcolessia: ricerca di un marker clinico e strumentale." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1839/.
Full textKobzová, Lucie. "Návrh na zlepšení marketingového řízení firmy Red bull." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-376774.
Full textBat-Pitault, Flora. "Marqueurs sommeil et émotionnels du risque de dépression chez les mères et leurs enfants." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM5063/document.
Full textThe main objective of this work was to search for markers in sleep and emotions level of risk of developing major depression in mothers and their children known as "at risk”. After a clinical description of close links between sleep, depression, emotion and cognition in mothers during pregnancy and the postpartum period and in children and adolescents, we conducted a retrospective study of the first children and adolescents sleep mothers with a personal history of depression. This study highlighted the macro-level architectural features related to depressive identifiable risk adolescents at risk. We then conducted a broader prospective study which involved 302 mother-child dyads followed from birth to 36 months of the child. Initially, our goal was to describe in mothers sleep abnormalities during pregnancy can indicate a risk of postpartum depression and more broadly to induce a number of consequences on the development of the child. Secondly this large cohort allowed us to link early alterations of child sleep with cognitive and emotional peculiarities to 36 months. We have also been able to describe in children 6 months to risk of depression, macro and micro-architectural deterioration of sleep may constitute a subsequent psychopathology risk factor via impaired neuroplasticity early in development; and in these same children 36 months through a negative emotional recognition constitutes a subsequent psychopathology vulnerability factor particularly depressed. The monitoring of this longer-term cohort remains crucial to observe children at risk among those who develop other sleep or emotional anomalies and ultimately a major depressive episode
Augustinavicius, Jura. "Sleep and Circadian Markers for Depression in Adolescence." Thesis, 2013. http://hdl.handle.net/1807/42675.
Full textShiau, Guei Rung, and 蕭桂榮. "Investigation of Sleep Quality, Stress, Fatigue and Relevant Biological Markers among Shiftwork Nurses." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/72708893461687453818.
Full text長榮大學
職業安全與衛生研究所
97
In the human body, hypothalamus controls our 24 hours circadian rhythm, but shiftwork tends to interfere with this regular rhythm and causes adverse health effects among shiftworkers. This study, designed longitudinally, was conducted to investigate the relationship between sleep quality, work stress, fatigue and relevant saliva biological markers among shift workers. Study subjects were purposively recruited from shiftwork nurses in a teaching hospital from southern Taiwan. Shiftwork nurses, aged 20-45, currenly working in a hospital ward and with at least one-year shiftwork experience, were invited to participate. Data collection was completed on three different days, as the following: the first day of a day shift after returning from at least two days of off day; the third day of a day shift; and the third day of a night shift. On each day of data collection, a questionnaire was completed during mid-day break and saliva specimens were collected at 8am and 4pm, respectively. Saliva specimen was analyzed using Enzyme-linked immunosorbent assay and numerical data was analyzed by SPSS statistical software. The results showed that night shift workers were significantly higher on the average score of “work demand” scale than off and day shift workers; while compared to off and day shift workers, night shift workers had higher fatigue scores and greater proportion of sleep problems on the previous night, the discrepancies were not statistically significant. Nevertheless, fatigue was closely related to long-term sleep problems on all shifts but was merely related to work demand on day shift. On off and day shift, average saliva cortisol concentrations were both higher in the morning and lower in the afternoon; as a contrary, concentration on night shift was lower in the morning and higher in the afternoon. Poor sleep quality and fatigue during off day were related to decreased concentration of cortisol; while elevated work demand increased afternoon cortisol concentration on night shift. Concentration of Saliva TNF-α was lower in the morning and higher in the afternoon on off shift; while on night shift TNF-α concentration was higher in the morning and lower in the afternoon. Concentration of TNF-α and IL-6 were correlated to each other on off day morning, night shift morning and evening. Concentration of cortisol was negatively correlated with IL-6 on off day morning and positively correlated with TNF-α on night shift morning. Nurses who work on night shift are affected by the circadian rhythm and work demand, therefore they might have greater potentials for sleep problems, fatigue and even adverse health effects. Hence, for long-term night shift nurses, management should follow their health conditions closely and provide workplace health promotion.
Saleh, Philip. "Utilizing Polysomnographic Sleep Markers as Predictors of Mood State and Response to Antidepressant Treatment." Thesis, 2009. http://hdl.handle.net/1807/18866.
Full text"The Impact of Physical Activity and Sleep Patterns on Bone Turnover Markers in College Students." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.53713.
Full textDissertation/Thesis
Masters Thesis Nutrition 2019
Shih, Yi-Wei, and 施奕緯. "The association between the obstructive sleep apnea levels and oxidative stress markers in occupational drivers." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/39454382053419475588.
Full text國立成功大學
環境醫學研究所
96
Obstructive sleep apnea (OSA) is the most common form of sleep-disordered breathing. Reoxygenation/reperfusion derived by OSA is thought to result in the elevation of oxidative stress and the decrease of antioxidant capacity, and then caused the oxidative stress and damages including DNA adduct production and lipid peroxidation. Furthermore, a recent study revealed that OSA is associated with an elevated risk for cardiovascular diseases. However, the relationship between OSA levels, oxidative damage and markers of cardiovascular diseases has not been postulated yet. Thus, the aims of this study are to investigate (1) the relationship between OSA levels, alteration of antioxidant capacity, lipid peroxidation metabolites and DNA adduct metabolites; (2) the relationship between OSA levels and cardiovascular diseases biomarkers such as high sensitivity C-reactive protein (hs-CRP) and total homocysteine (tHcy); (3) the relationship between oxidative stress and cardiovascular disease biomarkers. 83 transportation business drivers and administrators were recruited in this study to examine overnight polysomnography (PSG) in order to group the subjects into three groups according to the OSA levels. Questionnaire investigations were administered by sleep supervisors during the PSG investigation. Blood and urine samples were collected to determine their total antioxidant capacity, DNA adduct metabolite (8-hydroxy-2-deoxyguanosine, 8-OHdG), lipid peroxidation metabolite (malondialdehyde, MDA), hs-CRP and tHcy levels for each participant. Finally, all the data will be integrated to discuss the relationships between biomarkers of oxidative damage, cardiovascular diseases and OSA levels. According to PSG investigation, the subjects were grouped to control-mild (AHI: 7.5 ± 3.2 events/hr), moderate (AHI: 23.7 ± 4.7 events/hr) and severe OSA (AHI: 46.8 ± 12.0 events/hr) groups. No significant differences were found in ratio of transportation business drivers to administrators, BMI, working period, work sheet among three groups; while significant differences were found in age, vitamin C consumption and heart disease events among three groups. After adjusting the confounders, age is probably the most important factor for OSA (p = 0.009). The MDA levels of severe OSA group were significantly higher than control-mild and moderate OSA groups. A significantly positive correlation existed between the levels of MDA and OSA (r = 0.257). However, OSA was not the major risk factor for the elevation of MDA levels after adjusting confounders. Significant difference of hs-CRP levels were found among three groups, but no significant correlation was found. Consequently, the difference of hs-CRP levels among three groups was associated with pinnacle values. In addition, no significant difference was found in tHcy levels among three groups. However, 6 subjects with elevated tHcy levels probably had hyperhomocysteinemia disease. Although the sample size was insufficient to clarify the relationship between oxidative stress and cardiovascular disease in this study, we still found the positive correlation between the levels of MDA and OSA. Furthermore, OSA was not the major risk factor for the elevation of MDA levels. Future research should be conducted to investigate the mechanism of MDA formation in OSA patients.
Wu, Yu-Sheng, and 吳宇盛. "ECG Markers for Obstructive Sleep Apnea Syndrome Based on Poincare Map and Reconstructed Phase Space." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/87596382338232209065.
Full text國立臺灣大學
應用力學研究所
101
This study develops ECG markers of sleep apnea syndrome based on all-night sleep ECG. First of all, the sleep ECG have been recorded for 17 normal controls and 19 sleep apnea patients. Second, ECG is transformed to R-R intervals and named HRV. Third, using the Poincare Map and Reconstructed Phase Space to analyze HRV in sleep. Using Poincare Map, the plot of x(i) and x(i+1) of HRV, and oriented with the line-of-identity are denoted by and ,then the dispersion of the points around and are measured by the standard deviation denoted by SD1 and SD2. Using Reconstructed Phase Space, determine the delay time by using Average Mutual Information and then followed by using nearest neighbor to determine the invading dimension, and calculating the Lyapunov exponent of Reconstructed Phase Space. Poincare map’s results shown that, in all night HRV, two groups are significant difference in P value (p=0.025) in SD1/SD2, and in sleep stage 1(p=0.022), 2(p=0.019), 3(p=0.002) and REM(p<0.001), are also significant difference in P value in SD1/SD2, which represents sleep apnea group’s sympathetic nerve level are higher. On the other hand, two groups are significant difference in P value in sleep stage REM (p<0.001) in SD1*SD2, which represents the parasympathetic nerve. This means control group are more relax than sleep apnea group in this stages. Reconstructed Phase Space’s results shown that the invading dimensions are no difference between control group and sleep apnea group, but the Lyapunov exponents between two groups are significant difference in P value (P<0.009), and in sleep stage wake(p=0.002), 1(p=0.018), 2(p<0.001) and REM(p=0.002) are also significant difference in P value. This means control group’s HRV have higher level of chaos. This method is advantageous, instead of nasal flow and oral flow, only ECG channel measurement is required to identify sleep apnea syndrome, and possesses a superior extension for further research.
Sequeira, Rafael de Almeida. "Money never sleeps – overnight returns in equity markets." Master's thesis, 2016. http://hdl.handle.net/10362/16706.
Full textHuang, Po-Hao, and 黃柏皓. "A New Marker of Alzheimer’s Disease for the Elderly Based on Sleep EEG." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/74973795752170223323.
Full text國立臺灣大學
應用力學研究所
103
The objective of this study is to develop a new marker of Alzheimer’s disease (AD) for the elderly using sleep EEG signals. An experiment was conducted on 18 subjects over 75 years old. Four of them were AD patients, and the remaining subjects were normal. The all-night sleep EEG signals were recorded from electrodes C3-A2, C4-A1, O1-A2 and O2-A1. The signals were firstly transformed into the δ, θ, α, σ and β band average magnitude time series using the moving window Fourier transform. The band average magnitude time series in sleeping status was extracted based on the report of sleeping stages. Then, the time series were normalized and the similarity between each pair of band average magnitude time series was calculated. The measure of similarity may be defined as the Euclidean distance between two time series. However, two perfectly similar time series may nonzero Euclidean distances if one of the time series undergoes a vertical shift. Hence, the time series with low average magnitude was shifted so that its average magnitude equaled that of the other time series. To make the similarity comparable, the Euclidean distances is further normalized by the lengths of the time series. The normalized Euclidean distance, denoted Sd, is studied in this research for its possible application in the diagnosis of Alzheimer’s disease. We discover that the Sd values of the series combinations δ and α, δ and β, θ and α, α and σ in C3 channel, θ and σ, α and σ, α and β in O1 channel, α and σ in C4 channel, and α and σ in O2 channel are conspicuously larger among AD patients than normals (p < 0.01). Moreover, the series combinations δ and δ between O1 and O2 channels is conspicuously smaller among AD patients than normals (p < 0.01). Most of the Sd values in the previous mentioned are highly correlated with MMSE scores. This indicates that Sd seems to reflect neuropsychology and cognitive performance, thus Sd may be used as a the marker for diagnosis of Alzheimer’s disease. Compared to previous research, the similarity index Sd is more direct and easily calculated. Moreover, only one channel measurement is sufficient for the purpose of diagnosis. With such advantages, the proposed method seems to provide great flexibility and potential in future applications.
Chiang, Hui-Wen, and 江慧雯. "Factors influencing daytime sleepiness and serum inflammatory marker changes in patients with obstructive sleep apnea syndrome." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/5mjd3f.
Full text國立中興大學
生命科學院碩士在職專班
101
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder. It is characterized by repetitive episodes of upper airway obstruction that are often followed by hypoxemia and sleep fragmentation. Common symptoms include snoring, sleep apnea, excessive daytime sleepiness (EDS) and so on. Researches have explored in detail about the association between EDS and accidents. However, the etiologies of EDS in OSAS remain uncertain. Therefore, worthy of further exploration in order to facilitate future treatment. This study aimed to investigate: 1. characteristics and polysomnography variables in OSAS patients with and without EDS; 2. investigate the correlation between inflammatory markers: high sensitivity C-reactive protein (Hs-CRP) and homocysteine (Hcy) levels and the EDS severity in OSAS patients. Methods: The study in two parts. The first part of the study, we retrospectively reviewed the polysomnography (PSG) results. After screening, a total of 283 patients were enrolled in the final analyses. Patients with an Epworth Sleepiness Scale (ESS) score equal to or more than 10 comprised the EDS group. Patients with an ESS score less than 10 were included in the No-EDS group. We compared the PSG results between the two groups to survey for possible predictors of EDS in OSAS patients. And further stratified analysis to explore daytime sleepiness related factors in various sub-populations of OSAS. The second part, we prospected enrolled male OSAS patients to analyze in vivo inflammatory substances of Hs-CRP and Hcy levels. A total of 30 patients fit inclusion criteria, of which 20 patients with ESS score is equal to or greater than 10 points are divided into EDS group, 10 patients with ESS score less than 10 points were divided into No-EDS group. Besides, age-matched healthy male adult blood samples for the healthy control group. We compared these three groups of serum Hs-CRP and Hcy differences. Results: The prevalence ration of EDS in OSAS is 39.2%. Our results showed that, the predictors of EDS in OSAS are rapid eye movement latency (REML), body mass index (BMI), and sleep efficiency (SE). Among them, REML and SE are predictors of EDS in male and severe OSAS patients and regression analysis showed that REML is an independent predictor of EDS. BMI in an independent predictor of EDS in women, particularly women of childbearing age. In addition, markers of inflammation associated with daytime sleepiness part, regression analysis revealed that Hs-CRP level is significant associated with EDS severity in male OSAS. Conclusion: This study explore factors associated with EDS in Taiwan OSAS patients. Look forward to the future for these factors given appropriate treatment in order to enhance OSAS patients'' ability to work performance, and reduce the incidence of public hazard events.
Šebela, Antonín. "Spánkové koreláty časného rizika bipolární afektivní poruchy u dětí a adolescentů." Doctoral thesis, 2019. http://www.nusl.cz/ntk/nusl-405809.
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