Bibliografie tematiche / Sleep timing

Letteratura scientifica selezionata sul tema "Sleep timing"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 3 febbraio 2022

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Articoli di riviste sul tema "Sleep timing"

Wescott, D. L., K. D. Dickman, P. L. Franzen, B. P. Hasler e K. A. Roecklein. "1091 The Effects Of Sleep Duration, Timing, And Depressed Mood On Daily Eating Patterns". Sleep 43, Supplement_1 (aprile 2020): A415. http://dx.doi.org/10.1093/sleep/zsaa056.1086.

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Abstract Introduction Insufficient sleep, circadian misalignment, and altered eating patterns are linked to depression. Despite the temporal association between the sleep/wake and feed/fast cycles, it is unclear how depression severity influences this relationship. Methods Sixty-eight participants ages 18-65 years across the depression continuum wore an Actiwatch for 5-17 nights and reported daily meal times (730 nights total). Multilevel models tested previous night’s sleep timing and duration as predictors of the length of the next day’s eating window. Within-person sleep duration and timing were entered as Level 1 predictors to account for nightly variation in sleep. Between-person sleep duration and timing were entered as Level 2 predictors. A three-way interaction between depression severity and Level 2 sleep duration/timing was entered. Covariates included age, gender, and day (weeknight/weekend). Results Across participants, average later sleep timing predicted a longer eating window (Β= -.222; p =.005). Earlier sleep timing (Β= -.186; p < .001) and shorter sleep duration(Β= -.103; p < .001) relative to a person’s average each predicted a longer next-day eating window. A three-way interaction was found between sleep duration, timing, and depression (Β= -.159; p = .002). At shorter sleep durations, individuals with higher depression severity had a positive relationship between sleep timing and eating window length, and individuals with low depression had a negative relationship between sleep timing and eating window length. Conclusion At shorter sleep durations (< 6.5 hr), individuals with high depression and later sleep timing or low depression and early sleep timing had the longest eating windows, which have been linked to adverse metabolic health. Future experiments should test short sleep duration, sleep timing, and depression as potential causes of lengthened eating windows to determine if targeting sleep duration and timing could improve adverse metabolic markers in depression. Support NIMH K.A.R. MH103303

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AKERSTEDT, TORBJORRN, KEN HUME, DAVID MINORS e JIM WATERHOUSE. "Good sleep - its timing and physiological sleep characteristics". Journal of Sleep Research 6, n. 4 (dicembre 1997): 221–29. http://dx.doi.org/10.1111/j.1365-2869.1997.00221.x.

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Randler, Christoph. "Sleep, sleep timing and chronotype in animal behaviour". Animal Behaviour 94 (agosto 2014): 161–66. http://dx.doi.org/10.1016/j.anbehav.2014.05.001.

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Jeon, Bomin, e Eileen Chasens. "661 Chronotype, Mood, and Diabetes-Related Distress in Adults with Type 2 Diabetes". Sleep 44, Supplement_2 (1 maggio 2021): A258—A259. http://dx.doi.org/10.1093/sleep/zsab072.659.

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Abstract Introduction Chronotype refers to an individual’s preferred timing of sleep and wakefulness, which can be classified as ‘normal’ or ‘late’ chronotypes. The purpose of this study was to examine whether late sleep timing was associated with impaired mood and diabetes-related distress in persons with type 2 diabetes (T2D). Methods The study is a secondary analysis of pooled cross-sectional baseline data from two studies of treatment of obstructive sleep apnea (R01-DK96028) and insomnia (K24-NR016685) in persons with T2D. Sleep timing was measured by the bedtime from a 7-day sleep diary. “Normal” sleep timing was defined as bedtime between 9PM to 12AM ≥ 85% per week. “Late” sleep timing as bedtime after 12AM with normal sleep timing < 85% per week. Other sleep variables evaluated were sleep duration, daytime sleepiness (Epworth Sleepiness Scale [ESS]), and OSA severity (apnea-hypopnea index [AHI]). The Profiles of Mood States measured Total Mood Disturbance (TMD) and the subscales of Tension-Anxiety (T-A), Depression-Dejection (D-D), Anger-Hostility (A-H), Vigor-Activity (V-A), Fatigue-Inertia (F-I), and Confusion-Bewilderment (C-B). Diabetes-related distress was measured by the Problem Areas in Diabetes (PAID). Hierarchical multiple regression was performed to determine whether sleep timing was associated with mood and diabetes-related distress. Results The sample (N=296) had 61% with late sleep timing (n=181). Persons with normal vs late sleep timing were similar in age, sex, race, and education (p >.05). Persons with late sleep timing were less likely to be partnered, had shorter sleep duration and greater mood impairment (TMD and T-A, D-D, A-H, C-B subscales) than those with normal timing (all p values <.05); there was no significant difference by sleep timing in PAID scores (p=.256). Hierarchical regression analyses adjusting for demographics (age, sex, race, marital status, education level), clinical (HbA1c, BMI), and sleep variables (sleep duration, ESS, AHI) revealed that late sleep timing was not significantly associated with impaired mood (TMD and subscales) or PAID. However, ESS was statistically significant in predicting greater TMD (β=.310, p <.001), mood subscales (all p-values <.05) and PAID (β =.222, p <.001). Conclusion Daytime sleepiness, not late sleep timing, is a significant sleep-related symptom for increased mood impairment and diabetes-related distress in persons with T2D. Support (if any):

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Chaput, Jean-Philippe, Caroline Dutil, Ryan Featherstone, Robert Ross, Lora Giangregorio, Travis J. Saunders, Ian Janssen et al. "Sleep timing, sleep consistency, and health in adults: a systematic review". Applied Physiology, Nutrition, and Metabolism 45, n. 10 (Suppl. 2) (ottobre 2020): S232—S247. http://dx.doi.org/10.1139/apnm-2020-0032.

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The objective of this systematic review was to examine the associations between sleep timing (e.g., bedtime/wake-up time, midpoint of sleep), sleep consistency/regularity (e.g., intra-individual variability in sleep duration, social jetlag, catch-up sleep), and health outcomes in adults aged 18 years and older. Four electronic databases were searched in December 2018 for articles published in the previous 10 years. Fourteen health outcomes were examined. A total of 41 articles, including 92 340 unique participants from 14 countries, met inclusion criteria. Sleep was assessed objectively in 37% of studies and subjectively in 63% of studies. Findings suggest that later sleep timing and greater sleep variability were generally associated with adverse health outcomes. However, because most studies reported linear associations, it was not possible to identify thresholds for “late sleep timing” or “large sleep variability”. In addition, social jetlag was associated with adverse health outcomes, while weekend catch-up sleep was associated with better health outcomes. The quality of evidence ranged from “very low” to “moderate” across study designs and health outcomes using GRADE. In conclusion, the available evidence supports that earlier sleep timing and regularity in sleep patterns with consistent bedtimes and wake-up times are favourably associated with health. (PROSPERO registration no.: CRD42019119534.) Novelty This is the first systematic review to examine the influence of sleep timing and sleep consistency on health outcomes. Later sleep timing and greater variability in sleep are both associated with adverse health outcomes in adults. Regularity in sleep patterns with consistent bedtimes and wake-up times should be encouraged.

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Duffy, Jeanne F., Jamie M. Zeitzer, David W. Rimmer, Elizabeth B. Klerman, Derk-Jan Dijk e Charles A. Czeisler. "Peak of circadian melatonin rhythm occurs later within the sleep of older subjects". American Journal of Physiology-Endocrinology and Metabolism 282, n. 2 (1 febbraio 2002): E297—E303. http://dx.doi.org/10.1152/ajpendo.00268.2001.

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We investigated the relationship between sleep timing and the timing of the circadian rhythm of plasma melatonin secretion in a group of healthy young and older subjects without sleep complaints. The timing of sleep and the phase of the circadian melatonin rhythm were earlier in the older subjects. The relationship between the plasma melatonin rhythm and the timing of sleep was such that the older subjects were sleeping and waking earlier relative to their nightly melatonin secretory episode. Consequently, the older subjects were waking at a time when they had higher relative melatonin levels, in contrast with younger subjects, whose melatonin levels were relatively lower by wake time. Our findings indicate that aging is associated not only with an advance of sleep timing and the timing of circadian rhythms but also with a change in the internal phase relationship between the sleep-wake cycle and the output of the circadian pacemaker. In healthy older subjects, the relative timing of the melatonin rhythm with respect to sleep may not play a causal role in sleep disruption.

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Wirz-Justice, A. "S27-01 - Sleep timing and sleep manipulation as antidepressants". European Psychiatry 25 (2010): 91. http://dx.doi.org/10.1016/s0924-9338(10)70091-2.

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MacPherson, A. R., D. Schreiber, J. L. Imel e N. D. Dautovich. "0728 Sleep Timing, Not Sleep Duration, Predicts Breakfast Intake". Sleep 41, suppl_1 (aprile 2018): A270. http://dx.doi.org/10.1093/sleep/zsy061.727.

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Jansen, Erica C., Ana Baylin, Alejandra Cantoral, Martha María Téllez Rojo, Helen J. Burgess, Louise M. O'Brien, Libni Torres Olascoaga e Karen E. Peterson. "Dietary Patterns in Relation to Prospective Sleep Duration and Timing among Mexico City Adolescents". Nutrients 12, n. 8 (31 luglio 2020): 2305. http://dx.doi.org/10.3390/nu12082305.

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Adult studies show that healthy diet patterns relate to better sleep. However, evidence during adolescence, when sleep may change dramatically, is lacking. Within a cohort of 458 Mexican adolescents, we examined whether consumption of three dietary patterns was associated with sleep duration and timing measured 2 years later, as well as changes in sleep timing and duration. Dietary patterns (identified a posteriori in a prior analysis) were assessed with a baseline food frequency questionnaire, and sleep was measured with wrist actigraphy at baseline and follow-up. Linear regression analyses adjusting for sex, age, screen time, and smoking were conducted. Adolescents with higher consumption of a Plant-Based and Lean Proteins pattern had earlier sleep timing (−0.45 h with 95% Confidence Interval (CI) −0.81, −0.08 in the highest compared to lowest quartiles), less of a phase delay in sleep timing over follow-up (−0.39 h with 95% CI −0.80, 0.02), and shorter weekend sleep duration (0.5 h with 95% CI −0.88, −0.1). Higher consumption of an Eggs, Milk and Refined Grain pattern was associated with earlier sleep timing (−0.40 h with 95% CI −0.77, −0.04), while consumption of a Meat and Starchy pattern was related to higher social jetlag (weekend–weekday sleep timing difference). Healthier diet patterns may promote better sleep in adolescents.

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Baron, K., L. Bardsley, K. J. Reid, L. F. Wolfe, M. Buman, M. Toledo e P. C. Zee. "0060 Role Of Circadian Timing and Alignment In The Timing And Intensity Of Physical Activity". Sleep 41, suppl_1 (aprile 2018): A24. http://dx.doi.org/10.1093/sleep/zsy061.059.

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Più fonti

Tesi sul tema "Sleep timing"

Porcheret, Kate L. "Sleep and sleep timing in relation to light and emotional processing". Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:b759244a-c339-4d9f-bd03-e150a5fa1887.

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Sleep is a complex process: the timing of sleep is regulated by two systems (the sleep homeostat and the circadian clock) and there are many potential functions of sleep. The aim of this thesis was to investigate: the impact of light on the regulation of sleep timing (study 1) and the role of sleep in emotional processing (study 2). Study 1 used natural variations in environmental light levels at different geographical locations, to examine the influence of daily light irradiance on sleep timing and chronotype using the Munich chronotype questionnaire (MCTQ). 6443 students were included in this study from six universities from the northern and southern hemispheres. Students in southern hemisphere cities had earlier sleep timings than those in the northern cities. Daily irradiance was higher in the southern hemisphere cities. The amount of time spent outside, age and sex, but not daily irradiance, influenced sleep timings. Study 2 explored the impact of an analogue traumatic event (trauma film) in students who were either sleep deprived or not sleep deprived on intrusive memories ("flashbacks"), sleep physiology and the impact of an increased risk of a mood disorder on this relationship. In this study the sleep deprived participants (n=19) reported fewer intrusive memories to the trauma film than those not sleep deprived (n=22). A change in sleep physiology was observed in the first sleep period following the trauma film, which was more pronounced in the sleep deprived group: increased levels of arousal, REM density and activity in the occipital region. Only three participants at-risk of a mood disorder completed study 2: their data are presented as case studies. In conclusion this research has demonstrated that differences in sleep timings exist between cities in the southern and northern hemispheres and has confirmed that many factors can influence sleep timing. It has also been demonstrated that following a highly emotional event not sleeping may have a beneficial effect, which has implications for the treatment of people after trauma.

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Schreiber, Dana R. "PATHWAYS LINKING SLEEP TIMING TO OBESITY IN MIDLIFE WOMEN". VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4678.

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Midlife women are vulnerable to developing obesity. Both sleep timing and negative emotion are risk factors, yet limited research has explored their role on weight outcomes in this population. The current investigation explored the association of sleep timing (i.e., mean sleep time, sleep time variability) and obesity (i.e., BMI, waist circumference) in midlife women, considering emotional pathways (i.e., depressive symptoms, anger) that might mediate this association. PROCESS parallel mediation models assessed direct and indirect pathways. In follow-up analyses, sleep duration was explored as an indirect pathway linking sleep timing to obesity. Results demonstrated that sleep timing does not directly predict obesity. Emotion was also not a significant indirect pathway. Conversely, sleep duration emerged as an indirect link in the sleep timing and obesity association. Future work is needed to further disentangle the impact of sleep on weight in midlife women using prospective, well-controlled studies, implementing daily assessments of sleep behavior.

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Dietch, Jessica R. "Accuracy of Three Assessments of Sleep Timing, Duration and Efficiency Compared to a Single-Channel EEG Device". Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538787/.

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Poor sleep measured across many dimensions has been linked to adverse physical and mental health outcomes including cardiovascular disease, diabetes, cancer, increased mortality, depression, and anxiety. Current research typically relies upon brief, subjective, inadequately validated methods to assess limited dimensions of sleep, resulting in inaccurate measurements and possibly faulty conclusions. Specifically, research validating objective (e.g., actigraphy) and subjective (e.g., sleep diaries, retrospective surveys) measurement methods against the gold standard of polysomnography (PSG, an overnight sleep study) is primarily limited by a) a lack of reliability based on too short (e.g., 24 or 48 hours) of an assessment period to capture night-to-night variability, b) a lack of ecological validity (e.g., full PSG in a laboratory setting), and c) a lack of generalizability due to limited or special populations (e.g., individuals with insomnia). Barriers such as prohibitive cost, extensive setup time, and personnel training requirements diminish the ability of researchers to conduct measurement comparison studies using gold standard measures like traditional PSG. These barriers can be circumvented with the use of low-cost, minimally invasive single-channel EEG devices (e.g., Zmachine), but to date few studies have employed these devices. The current study evaluated the accuracy of retrospective surveys, sleep diaries, and actigraphy compared to a single-channel EEG device for assessment of sleep timing, duration, and efficiency in participants' homes over one week using a broad community sample (N = 80). Actigraphy generally demonstrated the best agreement with Zmachine across sleep variables, followed by diary and then survey. Circadian midpoint was the most consistent across measures, followed by sleep duration and then sleep efficiency. Implications and future directions are discussed.

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McNeil, Jessica. "Examining the Acute Effects of Sleep Restriction and Timing on Energy Balance, Satiety Efficiency and Food Reward in Adults". Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34242.

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The main objective of this thesis was to examine the independent effects of sleep duration and timing on appetite, food reward and energy balance. Study 1 investigated the associations between satiety quotient (SQ) with habitual, self-reported sleep duration, quality and timing. No significant associations were noted between SQ and sleep parameters. Short-duration sleepers had a lower mean SQ vs. those with ≥7h sleep/night (P=0.04). Study 2 evaluated associations between changes in sleep duration, efficiency and timing with changes in next day food reward. Greater sleep duration and earlier wake-times were associated with greater food reward (P=0.001). However, these associations were no longer significant after controlling for elapsed time between awakening and completion of the food reward task. Study 3 examined the effects of 50% sleep restriction (SR) anchored during the first (delayed bedtime) or second (advanced wake-time) half of the night on appetite, SQ, food reward, energy intake (EI) and energy expenditure (EE). Greater appetite ratings and explicit high-fat food reward were noted following SR with an advanced wake-time vs. control and SR with a delayed bedtime (P=0.03-0.01). No difference in SQ was noted between sessions. Energy and carbohydrate intakes were greater on day 2 and over 36h in the delayed bedtime vs. control session (P=0.03). Activity EE and moderate-intensity physical activity (PA) time were greater following delayed bedtime vs. control and advanced wake-time on day 1, whereas vigorous-intensity PA time was greater following advanced wake-time vs. delayed bedtime on day 1 (P=0.01-0.04). Greater sleep quality and slow-wave sleep duration between SR sessions were associated with lower EI and increased vigorous-intensity PA time, respectively (P=0.01-0.04). Collectively, these findings suggest that appetite, SQ and food reward are influenced by sleep parameters, but these changes may not alter EI. These findings also suggest that individuals with greater sleep quality in response to SR had greater vigorous-intensity activity time and lower EI.

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Staples, Victoria Lydia Shana. "Diurnal preference in older men and women : relationship with light,PER3 genotype and sleep wake timing". Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510369.

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Reid, Morgan P. "Social Jetlag, Depressive Symptoms, and Longitudinal Outcomes in College Students". VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5737.

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Social jetlag refers to the chronic shift in sleep timing between work and free days and has been associated with a variety of negative physical and psychological outcomes. Existing research on social jetlag has relied heavily on cross-sectional studies, preventing researchers and practitioners from assessing the effects of social jetlag over time. The current study used longitudinal data to explore the directionality of the association between social jetlag and depressive symptoms as well as the longitudinal associations between social jetlag, academic performance, and wellbeing in college students. Gender and race were also assessed as potential moderators of these associations. Cross-lagged panel analysis using Amos for SPSS revealed that social jetlag predicted depressive symptoms both concurrently adjusting for covariates and longitudinally in unadjusted models. This finding suggests that sleep disturbances may precede mood concerns, although causality cannot be proven due to the design of the current study. PROCESS moderation analyses indicated that social jetlag did not significantly predict academic performance or wellbeing over time, and neither gender nor race moderated these associations. Future research is needed to further assess the short- and long-term outcomes of social jetlag using prospective, well-controlled studies and objective measures of sleep timing.

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Zerón, Rugerio Maria Fernanda. "Living against the biological clock: The role of sleep, meal timing and circadian patterns in adiposity and dietary intake in young adults". Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/671452.

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Our daily lives are controlled by three clocks: the sun clock, the biological clock, and the social clock (local time). The sun clock gives our daily life a 24h periodicity (mainly through light- dark cycles), while the biological clock (a popular name for the circadian system) orchestrates physiology and behavior based on the sun clock. In this regard, the biological clock prepares the body to eat, stay awake and physically active during the day (sunlight), while it prepares the body to sleep and fast at night (darkness). Therefore, the synchrony between clocks is essential for health. However, with the introduction of electric lighting, humans can select their light-dark cycles and usually prolong wakefulness far into the night. This allows people to eat, stay awake, or even work when they would normally be sleeping, altering the synchrony between the biological clock and the sun clock (also known as circadian misalignment). Interestingly, as people have begun to live against the biological clock, the prevalence of obesity has increased worldwide, suggesting that circadian misalignment can also play a role in obesity. As such, the evidence has made it clear that sleep and meal timing are determinants of body weight and dietary intake. Furthermore, recent studies are beginning to reveal that the synchrony between sleep and meal timing could be even more relevant and influential in obesity and dietary intake. Therefore, in this Thesis we aimed to study the influence of sleep and meal timing on body weight and adherence to healthy dietary patterns in young adults. Additionally, we investigated whether the alterations of the circadian pattern of temperature and energy intake were associated with body weight and adiposity in young adults. It is worth noting that young adults are very likely to suffer from circadian misalignment, and in addition, the transition between adolescence and adulthood has been identified as a period of increased risk for development of overweight, sedentary lifestyle and poor diet quality. Therefore, studying this population is of special interest since the findings contribute to future recommendations for the prevention of obesity in young adults, which certainly also apply to the general population. Overall, our results suggested that in young adults i) discrepancy in sleep and/or meal timing on weekends vs. weekdays, ii) misalignment between sleep and meal timing, iii) poor sleep quality, as well as iv) alterations in the circadian pattern of temperature and v) low fragmentation of the circadian pattern of energy intake were determinant factors in obesity and unhealthy dietary intake. According to our findings, maintaining regular sleep and meal schedules during the week, and matching sleep timing behavior with dinner timing could contribute to align behavior with circadian physiology. This, in the long run, could have a beneficial impact on weight and adiposity, which is especially important for young people who are susceptible to have a late chronotype and thus, are more prone to suffer from circadian misalignment. However, these results could also be useful among other collectives, such as teenagers, adults with a greater tendency of obesity or those who live in countries where late-dinner is common.

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Fifel, Karim. "Alterations of the circadian timing system in rodent and non human primate models of Parkinson’s disease". Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10031/document.

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Depuis sa première description par James Parkinson dans son essai sur la paralysie agitante, la maladie de Parkinson (PD) a été reconnue comme une maladie du système moteur identifié par une tétrade de symptômes, à savoir : akinésie, rigidité musculaire, tremblement au repos et instabilité posturale. Ces symptômes sont liés à la perte de la dopamine (DA) dans le striatum après la dégénérescence neuronale dans la substance noire (SN). Il est de plus en plus reconnu que les symptômes non moteurs et peut-être non dopaminergiques inévitablement émergent et s'aggravent au cours de la progression de la maladie. Les perturbations du sommeil sont parmi les principaux symptômes non moteurs et ont été reconnus comme marqueurs précliniques de la maladie. Les modèles de régulation du sommeil ont insisté sur deux processus distincts : un mécanisme de contrôle du sommeil, ou homéostat sommeil, et un oscillateur circadien. L'oscillateur circadien, basé dans le noyau suprachiasmatique (NSC) est responsable de la tendance à dormir pendant certaines phases du cycle de 24 heures et la consolidation du sommeil et de réveil en épisodes distincts. L'homéostat sommeil est chargé de surveiller et de réagir à la nécessité pour le sommeil, provoquant l'envie de dormir à dépendre sur les montants avant du sommeil ou de l'éveil. Alors que les perturbations dans les circuits et les processus homéostatiques impliqués dans la régulation du sommeil-éveil comportement sont documenté dans la maladie de Parkinson, l'implication potentielle des altérations du système circadien n'ont pas été étudiés en détail. Le but de ma thèse est d'étudier les modifications dans le système circadien en utilisant deux modèles animaux de PD : la souris et le primate non-humain
Since the first description by James Parkinson in his essay on the shaking palsy, Parkinson’s disease (PD) was recognized as a motor disease identified by a tetrad of symptoms, namely; akinesia, muscular rigidity, resting tremor and postural instability. These symptoms are known to be related to loss of dopamine (DA) in the striatum following neural degeneration in the substantia nigra (SN). It is increasingly recognized that non-motor and perhaps non-dopaminergic related symptoms inevitably emerge and worsen during disease progression. Sleep disruption is one of the major non-motor symptoms and has been suggested as a preclinical marker of the disease. Models of sleep regulation have emphasized two distinct processes: a sleep-control mechanism, or sleep homeostat, and a circadian oscillator. The circadian oscillator, based in the suprachiasmatic nucleus (SCN), is responsible for the tendency to sleep during certain phases of the 24-hour cycle and the consolidation of sleep and wake into distinct episodes. The sleep homeostat is responsible for monitoring and reacting to the need for sleep, causing the urge to sleep to depend on prior amounts of sleep or wakefulness. While disruptions in the circuitry and the homeostatic processes involved in the regulation of sleep-wake behaviour is will documented in PD, the potential involvement of alterations of the circadian system have not been studied in detail. The aim of my thesis is to investigate alterations in the circadian timing system using two animal models of PD: the mouse and the non-human primate. Taken together, the studies show that disturbances of circadian functions occur after MPTP treatment in the non-human primate but not in the mouse model of PD. These results emphasize the limitations of the MPTP-treated mouse model of PD for the study of non-motor symptoms, and reinforce previous studies that question the adequacy of this model to replicate cardinal motor features of the disease. In contrast, results in the non-human primate model stress the importance of dopaminergic degeneration in the circadian organisation of behavioral sleep wake cycle in PD

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Weidenauer, Corina [Verfasser], e 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.

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Kuo, Jen-Wei. "Current Source Model for Static Timing Analysis with Sleep Transistor". 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2503200800433500.

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Libri sul tema "Sleep timing"

Carskadon, Mary A., e Leila Tarokh. Developmental Changes in Circadian Timing and Sleep. A cura di Amy Wolfson e Hawley Montgomery-Downs. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199873630.013.0006.

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Okun, Michele L. Sleep and pregnancy. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0013.

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Pregnant women experience a greater degree of sleep disturbance than their non-pregnant counterparts. Complaints range from sleep maintenance issues to excessive daytime sleepiness. Emerging evidence suggests that there is variability in sleep patterns and complaints which manifest differently among pregnant women. Moreover, it is well accepted that sleep disturbance can dysregulate normal immune and endocrine processes that are critically important to the health and progression of gestation. A possible consequence of sleep disturbance is an increased risk for adverse pregnancy outcomes. Then again, many endogenous and exogenous factors, including pregnancy-related physiological, hormonal, and anatomic changes, as well as lifestyle changes, can impact the degree and chronicity of sleep disturbance. Alas, there is still much to learn in terms of what women can/should expect with regard to the timing, degree, frequency, and/or severity of a specific pregnancy-related sleep disturbance(s), despite the number of published studies evaluating what sleep during pregnancy encompasses.

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Cohen, Daniel A., e Asim Roy. Sleep and Neurological Disorders. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0010.

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Scientific investigation of the relationships between sleep and neurological disorders is at a relatively early stage. Damage to the nervous system or impaired neural development can cause a wide array of sleep disorders. In turn, sleep disruption may impair neuroplastic processes that are important for functional recovery after nervous system insults. Sleep disorders in patients with neurological disease can negatively affect quality of life for both the patients and the caregivers. Cardiovascular, metabolic, and immune process changes associated with sleep disorders may exacerbate the underlying neuropathological changes in neurological disease. Early intervention for sleep disorders in these patients may substantially improve neurological outcomes. More randomized, controlled treatment trials will ultimately help to determine the optimal timing and treatment modalities for the sleep disorders in these patients and the impact this will have on improving neurological health, enhancing neurological function, and reducing the care burden for this population.

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The Impact of Altered Timing of Eating, Sleep and Work Patterns on Human Health. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03842-760-5.

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Innominato, Pasquale F., e David Spiegel. Circadian rhythms, sleep, and anti-cancer treatments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0016.

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The circadian timing system temporally regulates biological functions relevant for psycho-physical wellbeing, spanning all the systems related to health. Hence, disruption of circadian rhythms, along with sleep cycles, is associated with the development of several diseases, including cancer. Moreover, altered circadian and sleep functions negatively impact on cancer patients’ quality of life and survival, above and beyond known determinants of outcome. This alteration can occur as a consequence of cancer, but also of anti-cancer treatments. Indeed, circadian rhythms govern also the ability of detoxifying chemotherapy agents across the 24 hours. Hence, adapting chemotherapy delivery to the molecular oscillations in relevant drug pathways can decrease toxicity to healthy cells, while increasing the number of cancer cells killing. This chronomodulated chemotherapy approach, together with the maintenance of proper circadian function throughtout the whole disease challenge, would finally result in safer and more active anticancer treatments, and in patients experiencing better quality and quantity of life.

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Masip, Josep, Kenneth Planas e Arantxa Mas. Non-invasive ventilation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0025.

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During the last 25 years, the use of non-invasive ventilation has grown substantially. Non-invasive ventilation refers to the delivery of positive pressure to the lungs without endotracheal intubation and plays a significant role in the treatment of patients with acute respiratory failure and in the domiciliary management of some chronic respiratory and sleep disorders. In the intensive and acute care setting, the primary aim of non-invasive ventilation is to avoid intubation, and it is mainly used in patients with chronic obstructive pulmonary disease exacerbations, acute cardiogenic pulmonary oedema, or in the context of weaning, situations in which a reduction in mortality has been demonstrated. The principal techniques are continuous positive airway pressure and bilevel pressure support ventilation. Whereas non-invasive pressure support ventilation requires a ventilator, continuous positive airway pressure is a simpler technique that can be easily used in non-equipped areas such as the pre-hospital setting. The success of non-invasive ventilation is related to the adequate timing and selection of patients, as well as the appropriate use of interfaces, the synchrony of patient-ventilator, and the fine-tuning of the ventilator.

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Masip, Josep, Kenneth Planas e Arantxa Mas. Non-invasive ventilation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199687039.003.0025_update_001.

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Masip, Josep, Kenneth Planas e Arantxa Mas. Non-invasive ventilation. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0025_update_002.

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Masip, Josep, Kenneth Planas e Arantxa Mas. Non-invasive ventilation. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0025_update_003.

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During the last 25 years, the use of non-invasive ventilation has grown substantially. Non-invasive ventilation refers to the delivery of positive pressure to the lungs without endotracheal intubation and plays a significant role in the treatment of patients with acute respiratory failure and in the domiciliary management of some chronic respiratory and sleep disorders. In the intensive and acute care setting, the primary aim of non-invasive ventilation is to avoid intubation, and it is mainly used in patients with chronic obstructive pulmonary disease exacerbations, acute cardiogenic pulmonary oedema, immunocompromised or in the context of weaning, situations in which a reduction in mortality has been demonstrated. The principal techniques are continuous positive airway pressure, bilevel pressure support ventilation and more recently, high flow nasal cannula. Whereas non-invasive pressure support ventilation requires a ventilator, the other two techniques are simpler and can be easily used in non-equipped areas by less experienced teams, including the pre-hospital setting. The success of non-invasive ventilation is related to an adequate timing, proper selection of patients and interfaces, close monitoring as well as the achievement of a good adaptation to patients’ demand.

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Capitoli di libri sul tema "Sleep timing"

Shahid, Azmeh, Kate Wilkinson, Shai Marcu e Colin M. Shapiro. "Sleep Timing Questionnaire (STQ)". In STOP, THAT and One Hundred Other Sleep Scales, 351–53. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9893-4_86.

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Cuesta, Marc, Philippe Boudreau e Diane B. Boivin. "Basic Circadian Timing and Sleep-Wake Regulation". In Sleep Disorders Medicine, 79–102. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6578-6_6.

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Kim, Dong Won Thomas, e Seth Blackshaw. "Winding the Clock: Development of Hypothalamic Structures Controlling Biological Timing and Sleep". In Masterclass in Neuroendocrinology, 105–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40002-6_5.

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Lingasubramanian, Karthikeyan, Andrea Calimera, Alberto Macii, Enrico Macii e Massimo Poncino. "Sub-Row Sleep Transistor Insertion for Concurrent Clock-Gating and Power-Gating". In Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation, 214–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24154-3_22.

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Lydic, R., R. W. McCarley e J. A. Hobson. "Timing Function of the Dorsal Raphe Nucleus and the Temporal Organization of the Ultradian Sleep Cycle". In Ultradian Rhythms in Physiology and Behavior, 125–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70483-3_10.

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Titus, Jonathan A. "Investigate Sleep Modes and Sleep-Mode Timing". In The Hands-on XBEE Lab Manual, 69–76. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-391404-0.00009-0.

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Moore, Robert Y. "Circadian Timing and Sleep-Wake Regulation". In Sleep Disorders Medicine, 105–11. Elsevier, 2009. http://dx.doi.org/10.1016/b978-0-7506-7584-0.00008-2.

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Dautovich, Natalie D., Janna L. Imel e Joseph M. Dzierzewski. "Sleep Duration, Timing, and Napping as Components of Healthy Sleep". In Integrative Sleep Medicine, a cura di Valerie Cacho e Esther Lum, 87–100. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190885403.003.0006.

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Although optimal sleep is essential for overall health and well-being, questions exist regarding the sufficient duration of sleep, appropriate timing of sleep, and whether or not naps are helpful or harmful. Generally speaking, for optimal sleep health, adults should aim to obtain between 7 and 9 hours of sleep per day. The optimal timing of this daily sleep is during the nocturnal hours. In regards to napping, evidence is mixed regarding whether napping represents a detriment to optimal sleep behavior. For those who engage in napping, characteristics of napping such as the duration, timing, regularity, and environment are important factors to consider.

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Foster, Russell G., e Leon Kreitzman. "3. When timing goes wrong". In Circadian Rhythms: A Very Short Introduction, 24–44. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198717683.003.0003.

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While time of day, interacting with an individual’s chronotype, can have an important impact upon performance and health, severe disruption of the circadian system adds another level of complexity and severity. ‘When timing goes wrong’ considers the effects of flying across multiple time zones, resulting in jet lag, and shift work on human health. Sleep and circadian rhythm disruption is almost always associated with poor health. Four circadian rhythm sleep disorders have been identified: advanced sleep phase disorder, delayed sleep phase disorder, freerunning, and irregular sleep timing. Sleep and circadian rhythm disruption in mental illness and neurodegenerative disease is also discussed.

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Vanek, Robon, e Nancy Kempke. "She Works Hard for Her Sleep". In Sleep Disorders, 853–66. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190671099.003.0050.

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Shift work and long work hours, such as 12-hour shifts, can disturb sleep and circadian rhythms. Shift work disorder is a circadian rhythm disorder in which excessive sleepiness and/or insomnia due to work schedule occur. There is a circadian misalignment between the timing of the sleep/wake schedule and the circadian pressures for sleep and wakefulness. Between 10% and 38% of nightshift and rotating shift workers experience shift work disorder. There can be interruptions during sleep caused by light, noise, and social obligations when sleep occurs at unusual times, resulting in a short sleep duration/inadequate sleep and poor sleep quality. Sleep logs provide valuable information. To improve the quantity and quality of sleep, the sleep environment and timing of light exposure need to be optimized, and limiting interruptions during sleep is recommended. Wake-promoting agents such as armodafinil prior to work may be needed for fatigue management. Validated tools can aid in diagnosis, and there may be an underutilization of sleep specialists in these patients.

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Atti di convegni sul tema "Sleep timing"

Sathanur, Ashoka, Antonio Pullini, Luca Benini, Alberto Macii, Enrico Macii e Massimo Poncino. "Optimal sleep transistor synthesis under timing and area constraints". In the 18th ACM Great Lakes symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1366110.1366155.

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Ramalingam, Anand, Bin Zhang, Anirudh Devgan e David Z. Pan. "Sleep transistor sizing using timing criticality and temporal currents". In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1120725.1120832.

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Dow, Douglas E., Yukio Horiguchi, Yoshiki Hirai e Isao Hayashi. "Monitoring of Respiratory Cycles Utilizing Sensors on Sleeping Mat". In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72240.

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Sleep apnea and other sleeping disorders impair health and quality of life. Polysomnography is the primary method for diagnosis, but involves cost and utilization of medical resources, which limit access for potential patients. The clinical environment and sensors of polysomnography hinder typical sleep patterns in many individuals, thus degrading the analysis. Sensors suitable for at-home monitoring of sleep have recently become available. At-home monitoring of sleep may improve diagnosis due to increased familiarity for sleeping and ability for multiple sleep sessions, as well as lowering the cost. However, more robust algorithms would be needed to partially compensate for the less controlled conditions and sensor systems. A mat with a grid of force sensors has become available. This study was developing a state machine algorithm to analyze the activity at multiple force sensors of a mat while the subject was lying in supine position on the mat and undertaking natural, rhythmic respiration. The algorithm monitored the subset of active sensors to detect potential respiratory cycles. The similarity of the timing of the detected cycles between different sensors was used to determine the overall pattern of respiratory activity for the subject. Reliable detection of timing for respiratory cycles would be useful for detection of sleep apnea events.

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Kitagawa, Masahiro, Benjamin Luke Evans, Nagisa Munekata e Tetsuo Ono. "Mutual Adaptation between a Human and a Robot Based on Timing Control of "Sleep-time"". In HAI '16: The Fourth International Conference on Human Agent Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2974804.2980502.

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Brijbassi, Melissa, Luigi Taranto Montemurro e T. D. Bradley. "Differential Timing Of Arousals In Heart Failure Patients With Either Obstructive Or Central Sleep Apnea". In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a2214.

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Muhmad Hamidi, Muhammad Hanis, Muhammad Amin Ibrahim, Johan Rizwal Ismail, Mohd Arif Mohd Zim e Ahmad Izuanuddin Ismail. "Impact of Obstructive Sleep Apnea, Age, Body mass index and Neck circumference on timing of Acute Coronary Syndrome onset". In ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.pa4366.

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Holmes, Alexandra, Cristina Ruscitto e Sarah Booth. "Ensuring That Fatigue is Managed in Oil and Gas Operations". In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205458-ms.

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Abstract As in any shiftworking industry, fatigue poses a hazard to workers within the oil and gas industry, irrespective of job role and site location. In order to demonstrate adherence to health and safety regulations, operators can be expected to manage shift patterns and hours of work, such that they are appropriate and do not result in unnecessary levels of fatigue that may reduce the safety of the operation. Reliance on hours of work limitations (for example the European Working Time Directive) or industry normalised working patterns may no longer be considered sufficient to ensure that the risk posed by fatigue is appropriately managed. This paper presents how a scientific approach can be applied and adapted to suit the context and the populations being studied in order to answer specific operational questions and provide tailored fatigue risk mitigations. It describes a method by which site and job role fatigue levels can be assessed, in order for appropriate controls to be implemented. It will use case studies to illustrate how data collection methods are tailored to reflect specific operational environments. Data collection is particularly important in parts of the industry where common shift arrangements differ from those which have historically been studied. The method outlines an approach to rigorously assess contributors to fatigue and fatigue levels in an organisation following appropriate scientific methods. Both subjective and objective data are collected, using methods such as fatigue and sleepiness scales, sleep diaries and collection of objective sleep data using validated sleep tracking devices. The approach is specifically tailored to the population of interest – reflecting their shift pattern, and collecting further data on workload, task demand, and operational or location-specific factors (for example travel to site, onsite sleeping facilities, or sea sickness on floating platforms). The method also allows for inferences to be made about the impact of circadian misalignment and shift timing on sleep, performance and mood. The method presented in this paper has been used in field data collection in two very different environments. These studies are used as case studies to examine how the methodology can be tailored to ensure that the collected data are appropriate to the operation being studied, and lessons learned to improve the methods in the future.

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Andaque, Gentil A., Olívia Pinho, J. Santos Baptista, Jacqueline Castelo Branco e Elizabete Nunes. "The occurrence of accidents and injury in mining shift worker influenced by food intake, a short review". In 4th Symposium on Occupational Safety and Health. FEUP, 2021. http://dx.doi.org/10.24840/978-972-752-279-8_0065-0072.

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Introduction: Identifying factors that contribute to occupational accidents has been a general concern of companies in the present millennium. One of the factors identified is the quality and quantity of food, as well as meals times. In this context, the present systematic review aimed to identify how food intake influences the occurrence of accidents in shift work, with some focus, although not exclusive, on the mining industry. Methodology: The research-based literature was carried out in four electronic databases: Medline/PubMed, Science Direct, Scopus and Web of Science. Have been combined the following words “occupational accident” and “food intake”; “mining injury” and “food choice”; “meal timing” and “workplace”; “eating at night” and “mining injury”;“Circadian rhythm” and “diet shift”; “Food safety” and “ Health risk”; “workplace accidents” and “food choice”. Results: It was possible to identify 24 articles related to food intake. To better understand the analysis, the results were organized into five groups: Author surname and year, Study type, Accidents/injury causes, risk factor, Conditions for accidents/injuries to occur. Through the groups of causes, it was possible to regrouped on three, which facilitated the discussion of the topic; food choice n=10 (42%) articles, eating habits n=9 (37.5%), and emotional commitment n=5 (20.5%), showed the relativity of food intake causes for the occurrence of accidents and illnesses in shift workers. Discussion: The reviewed articles demonstrated that the materialisation of accidents was due to the relationship between food intake and consumption of nutrient-poor foods in shift work. That can develop chronic diseases, metabolic disorders such as blood pressure abnormalities, blood sugar fluctuation (dyslipidemia, dysglycemia), and obesity, neurobehavioural performance. Foods contain high content As, Cd, Cr, Hg, Fe, and Mn above the recommended standards by the FAO/WHO. Sleep disturbance during the 12-hour shift interferes with circadian rhythm and, consequently,with performance. These factors can be related to food and the precarious physical environment, increased workload, fatigue and poor diet, especially at night. Conclusion: In conclusion, the study demonstrated how food intake impacted workers' health on shifts but did not determine the causes or risk factors contributing to accidents/injuries. Further studies are needed to demonstrate a direct relationship which the risk factor of food intake and causes accidents/injuries.

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Rapporti di organizzazioni sul tema "Sleep timing"

Royette Tavernier, Ph.D., Royette Tavernier, Ph D. Battle of the clocks: Does your biological clock determine whether the timing of exercise impairs or promotes sleep? Experiment, ottobre 2016. http://dx.doi.org/10.18258/8234.

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Variable sleep schedules might put preschoolers at risk of academic difficulties. ACAMH, giugno 2020. http://dx.doi.org/10.13056/acamh.12321.

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