Academic literature on the topic 'Sleep quality'

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Journal articles on the topic "Sleep quality"

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Saygın, Mustafa. "Investigation of Sleep Quality and Sleep Disorders in Students of Medicine." Turkish Thoracic Journal 17, no. 4 (October 10, 2016): 132–40. http://dx.doi.org/10.5578/ttj.30513.

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Pieper, Barbara, and Thomas N. Templin. "Sleep Quality." Journal of Wound, Ostomy and Continence Nursing 43, no. 5 (2016): 471–76. http://dx.doi.org/10.1097/won.0000000000000254.

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Alanazi, Mohammed Jumah, Rayan Abdullah Abdulaziz Al Angari, Nadia Ahmed Abo shreea, Amal Saleem Aldlhan, Sara Dkheel Alenazi, Abdullah Mohammed Albaiz, Amal Hadi Hakmi, et al. "Sleep Quality in Chronic Neck Pain Patients." International Journal Of Pharmaceutical And Bio-Medical Science 02, no. 12 (December 16, 2022): 619–26. http://dx.doi.org/10.47191/ijpbms/v2-i12-08.

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Introduction: Neck Pain (NP) is a significant public health issue. Many people's social and economic participation is harmed as a result of NP. Patients with this condition frequently complain of fatigue and pain. Both can disrupt patients' daily lives by affecting their sleep quality, which can lead to psychological issues. However, the prevalence of fatigue and its relationship with pain, sleep quality, and psychological factors in NP patients has not been thoroughly investigated. Aim: To investigate the prevalence of fatigue and its relationship to pain intensity, depression, anxiety, and sleep disturbance in NP patients. Materials and Methods: Between March and November 2019, a cross-sectional study of 296 NP patients with a mean age of 37.2 years (181 males and 115 females) was conducted. It was held at the Physiotherapy Department. To assess fatigue, depression and anxiety, sleep quality, and pain intensity, the Multidimensional Fatigue Inventory (MFI), Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI), and Numeric Pain Rating Scale (NPRS) were used. For analysis, Spearman's rank correlation coefficient and the Mann-Whitney U test were used. Results: The participants' point prevalence of severe fatigue was 39.86%. Pain intensity, psychological factors, and sleep quality were all associated with fatigue (p0.05). In this sample, we also found a significant relationship between sleep quality and psychological factors (p0.05). Conclusion: Fatigue was a significant factor in NP patients, and it was linked to pain intensity, depression, anxiety, and sleep disturbance. Fatigue was more prevalent in the chronic stage of NP than in the acute stage. Identifying these risk factors may aid in the prevention and management of NP and its associated co-morbidities
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Önder, İsmail, Ercan Masal, Eda DEMİRHAN, Mehmet Barış Horzum, and Şenol BEŞOLUK. "Psychometric properties of sleep quality scale and sleep variables questionnaire in Turkish student sample." International Journal of Psychology and Educational Studies 3, no. 3 (September 1, 2016): 9–21. http://dx.doi.org/10.17220/ijpes.2016.03.002.

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Kawada, Tomoyuiki. "Sleep quality, sleep duration and hypertension." Journal of Psychosomatic Research 136 (September 2020): 110174. http://dx.doi.org/10.1016/j.jpsychores.2020.110174.

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Fietze, Ingo. "Sleep Applications to Assess Sleep Quality." Sleep Medicine Clinics 11, no. 4 (December 2016): 461–68. http://dx.doi.org/10.1016/j.jsmc.2016.08.008.

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Åkerstedt, Torbjörn, Ken Hume, David Minors, and Jim Waterhouse. "The Subjective Meaning of Good Sleep, An Intraindividual Approach Using the Karolinska Sleep Diary." Perceptual and Motor Skills 79, no. 1 (August 1994): 287–96. http://dx.doi.org/10.2466/pms.1994.79.1.287.

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The present experiment used an intraindividual design to investigate the meaning and measurement of “good sleep.” Each of 16 subjects slept in an isolation unit according to a schedule (15 sleeps) designed to give variable quality of sleep. Self-rated sleep measures (from the Karolinska Sleep Diary) were obtained after each sleep and subjected to intraindividual regression analyses across time. Most subjective sleep measures showed a strong covariation across conditions. Subjective quality of sleep mainly involved variables of sleep continuity, in particular, perceived calmness of sleep and sleep efficiency. “Sleep quality,” “calm sleep,” “ease of falling asleep,” and ability to “sleep throughout” the time allotted strongly covaried and formed an index of sleep quality. Self-rated ease of awakening deviated from the general pattern and was associated with poor sleep quality. So was reported dreaming (related to awakenings). It was concluded that most subjective sleep measures tend to covary across conditions and that “good sleep” is mainly a question of sleep continuity.
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Krystal, Andrew D., and Jack D. Edinger. "Measuring sleep quality." Sleep Medicine 9 (September 2008): S10—S17. http://dx.doi.org/10.1016/s1389-9457(08)70011-x.

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Hur, Soohee, Bumjo Oh, Hyesook Kim, and Oran Kwon. "Associations of Diet Quality and Sleep Quality with Obesity." Nutrients 13, no. 9 (September 13, 2021): 3181. http://dx.doi.org/10.3390/nu13093181.

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Short sleep duration or poor sleep quality has been associated with an increased risk of obesity. Although the underlying mechanism remains unclear, one proposed pathway is poor diet quality. This cross-sectional study investigated whether diet quality modifies the association between sleep status and obesity in Korean adults. We used the baseline data and samples of 737 men and 428 women (n = 1165) aged 19–64, who participated in the prospective Ewha–Boramae cohort study. Sleep duration was dichotomized into ≥7 h (adequate) and <7 h (insufficient). Pittsburgh Sleep Quality Index (PSQI) values, reflecting sleep quality, were dichotomized into >5 (poor quality) and ≤5 (good quality). Diet quality was evaluated by the Recommended Food Score (RFS). Obesity was associated with higher rates of insufficient sleep and poor sleep quality in women, but not in men. After adjustment for covariates, women with poor sleep quality had a higher risk of obesity than women with good sleep quality (OR = 2.198; 95% CI = 1.027–4.704); this association occurred only in the group with RFS ≤ median score. Our findings support a significant association between sleep quality and obesity, and this association has been potentially modified by dietary quality in women.
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GALLASCH, Julie, and Michael GRADISAR. "Relationships between sleep knowledge, sleep practice and sleep quality." Sleep and Biological Rhythms 5, no. 1 (January 2007): 63–73. http://dx.doi.org/10.1111/j.1479-8425.2006.00248.x.

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Dissertations / Theses on the topic "Sleep quality"

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Žakevičius, Martynas. "Sleep and the sense of rest: relation between sleep fragmentation and subjective sleep quality." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093350-31580.

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Sleep disorders are one of the most common medical complaints today. There is a growing interest in sleep medicine, attitude of doctors and society is changing and knowledge about sleep and its disorders is increasing. One of the most tedious and understudied sleep problems is non-restorative sleep. Researchers are still debating about what determines persons rest sense after the sleep. A lot of attention recently is paid for sleep integrity and a role of sleep fragmentation for the rest sense. It is thought that sleep fragmentation with short arousals could have effect on the sleeps restorative function. The aim of our study was to analyze sleep structure and sleep quality through sleep cycles, phases and stages and to evaluate structure’s relationship with subjective sense of rest after the sleep without paying attention to the type of insomnia. We have analysed three types of arousals (behavioural, vegetative and microarousals) and their dynamics during the night, in different sleep cycles and stages. Subjective sleep quality was evaluated using the Pittsburgh sleep quality index. Work results showed that for the subjective sense of rest after the sleep it is more important the stability of sleep in the initial than in the last sleep cycles. Sleep stage and arousal type regardless of sleep cycle are significant factors for the arousal index values and that increase of all arousal indices in NREM 2 stage (especially increase of microarousal index) has strongest impact for... [to full text]
Miego sutrikimai yra vienas labiausiai paplitusių nūdienos medicininių nusiskundimų. Paskutiniu metu miego medicina domimasi vis labiau, keičiasi gydytojų ir visuomenės supratimas apie miegą, jo sutrikimus, ligas ir negalavimus, susijusius su miegu. Vienas iš svarbesnių ir labai varginančių sutrikimų yra miegas be poilsio jausmo. Mokslininkai iki šiol diskutuoja, kas lemia poilsio jausmą po miego. Pastaruoju metu nemažai dėmesio skiriama miego vientisumo ir suskaldymo reikšmės poilsio jausmui tyrimams. Manoma, kad miego fragmentacija – miego suskaidymas dažnais trumpais nubudimais – mažina jo atstatomąją vertę, ypač smegenims. Pagrindinis darbo tikslas buvo išnagrinėti miego struktūrą ir kokybę per miego ciklus, fazes ir stadijas bei įvertinti miego struktūros ryšį su poilsio jausmu po miego nepriklausomai nuo nemigos tipo. Buvo nagrinėjami trijų tipų – elgesiniai, vegetaciniai ir žieviniai mikro – nubudimai ir jų dinamika nakties metu, skirtinguose miego cikluose ir stadijose. Subjektyviai vertinama miego kokybė buvo analizuojama pasitelkus Pitsburgo miego kokybės indeksą. Darbo rezultatai parodė, kad miego stabilumas nakties pradžioje turi didesnę įtaką subjektyviam miego kokybės jausmui negu miegas nakties pabaigoje. Nubudimų indekso dydžiui reikšmingos įtakos turi miego stadija ir nubudimo tipas, nepriklausomai nuo miego ciklo, o didžiausią įtaką poilsio jausmui turi visų tipų nubudimų, ypač žievinių mikronubudimų, indeksų padidėjimas antroje lėtojo miego stadijoje.
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Sethi, Kevin J. "A Comparison of the Pittsburgh Sleep Quality Index, a New Sleep Questionnaire, and Sleep Diaries." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177254/.

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Self-report retrospective estimates of sleep behaviors are not as accurate as prospective estimates from sleep diaries, but are more practical for epidemiological studies. Therefore, it is important to evaluate the validity of retrospective measures and improve upon them. The current study compared sleep diaries to two self-report retrospective measures of sleep, the commonly used Pittsburgh Sleep Quality Index (PSQI) and a newly developed sleep questionnaire (SQ), which assessed weekday and weekend sleep separately. It was hypothesized that the new measure would be more accurate than the PSQI because it accounts for variability in sleep throughout the week. The relative accuracy of the PSQI and SQ in obtaining estimates of total sleep time (TST), sleep efficiency (SE), and sleep onset latency (SOL) was examined by comparing their mean differences from, and correlations with, estimates obtained by the sleep diaries. Correlations of the PSQI and SQ with the sleep diaries were moderate, with the SQ having significantly stronger correlations on the parameters of TST, SE, and sleep quality ratings. The SQ also had significantly smaller mean differences from sleep diaries on SOL and SE. The overall pattern of results indicated that the SQ performs better than the PSQI when compared to sleep diaries.
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Cox, Catharina Mathea Maria. "Quality of sleep in hospital settings." Maastricht : Maastricht : Universitaire Pers Maastricht ; University Library, Maastricht University [Host], 1992. http://arno.unimaas.nl/show.cgi?fid=5844.

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Kucharczyk, Erica. "The occupational impact of sleep quality." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/11336.

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While the importance of assessing the occupational consequences of insomnia and other sleep disorders is emphasised in clinical nosologies and research guidelines, there is little consensus on which aspects of occupational performance should be assessed, how such impairment should be measured, and how outcomes should be reported. The research programme described in this thesis aimed to address this issue. Chapter 1 presents a systematic review and methodical critique of studies reporting those aspects of occupational performance most impacted by (or most frequently associated with) insomnia symptoms and degraded sleep quality. Equivocal results, wide variations in reporting conventions, and the overall lack of comparability among studies, strongly indicated the need to develop a standardised metric able to quantify sleep related occupational performance and serve as an assessment and outcome instrument suitable for use in research and clinical settings. Informed by the literature review, Chapters 2-4 describe the development and validation of the Loughborough Occupational Impact of Sleep Scale ( LOISS ), a unidimensional 19 item questionnaire that captures sleep-related occupational impairment across a number of workplace domains over a 4-week reference period. Chapters 5-7 describe LOISS outcomes from: i) surveys in a random population sample; ii) a representative sample of the UK workforce; and iii) a clinical sample of patients with obstructive sleep apnoea (before and after treatment with CPAP). Overall, the scale showed strong internal consistency (Cronbach s alpha range=0.84-0.94) and test-retest reliability (r=0.77, r2=0.59, p<0.001), high levels of criterion validity (significantly discriminating between good and poor sleepers), and proved an effective outcome measure in OSA. From the survey data reported in Chapters 2-7, LOISS score distributions showed no consistent gender difference but did show a significant ageing gradient, with sleep-related occupational impairment declining with increasing age. In conclusion, the work presented here supports the usability, validity and reliability of the LOISS as an assessment and outcome instrument, and also demonstrates the utility of this instrument in exploring the dynamics of sleep-related occupational performance
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Altaf, Quratul-ain. "Sleep in patients with type 2 diabetes : the impact of sleep apnoea, sleep duration, and sleep quality on clinical outcomes." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8270/.

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Introduction: Type 2 Diabetes (T2DM) and sleep-related disorders share common risk factors such as obesity; but the interrelationships between T2DM and sleep disorders are not well examined. Aims: In this thesis I aimed to assess: 1. The longitudinal impact of obstructive sleep apnoea (OSA) on micro vascular complications in patient with T2DM. 2. The relationship between sleep quality, sleep duration and adiposity in patients with T2DM Methods: To examine the first aim, I utilized the data collected from a previous project that examined the cross-sectional associations between OSA and micro vascular complications in patients with T2DM and followed up the study participants longitudinally using 1-2-1 interviews and electronic health records. For aim 2, I conducted a crosssectional study in patients with young-onset T2DM who were recruited from Heart of England NHS Foundation Trust and primary care. Result: For Aim 1: Depending on the micro vascular outcome examined, we had approximately 200 patients in the analysis. Patients were followed up for 2.5 years for renal outcomes, and 4-4.5 years for retinopathy and neuropathy outcomes. The prevalence of OSA was 63%. I found that baseline OSA was significantly associated with greater decline of eGFR and greater progression to pre-proliferative and proliferative retinopathy. I also found that OSA was associated with progression to a combined outcome of foot insensitivity or diabetic foot ulceration but this was a non-significant trend (p=0.06). In addition, I found that patients who received and were compliant with continuous positive airway pressure (CPAP) treatment (delivered during routine care) had improvements in heart rate variability parameters by study end. For Aim 2: Poor sleep quality and shorter sleep duration were associated with increased total body fat% after adjustment for potential confounders. Conclusion: I found that OSA plays an important role in the progression of micro vascular complications in patients with T2DM. Whether treatment with CPAP has a favourable impact on micro vascular complications is currently being examined in a randomized controlled trial. I also found that sleep duration and quality are associated with increased adiposity. The direction of this relationship need to be examined in longitudinal studies and interventional trials.
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Dopp, Austin. "Relative Effects of Sleep Hygiene Behavior and Physical Exercise on Sleep Quality." DigitalCommons@USU, 2017. http://digitalcommons.usu.edu/etd/6837.

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Numerous studies have shown the relationship between sleep and overall health. A common measure of sleep is sleep quality which has been shown to be influenced by a variety of factors such as physical activity, diet, stress, social engagement, cognitive stimulating, and sleep hygiene behaviors. Data was analyzed from a previous study to determine whether trying to change one’s sleep would improve sleep quality and if this was more effective than physical exercise. A group of 104 individuals, randomized to the treatment group, were asked to log their daily activities, via smartphone app, within these six behavioral domains for six months. Behavioral change scores were computed as the difference between six-month behavioral level and baseline behavioral level, for each of the six domains. Factor analysis that revealed that two latent factors explained the majority of the variance in behavioral change, with a "Physical Body Related behavior change” factor ("Physical") and a "Mental/Emotional" behavior change factor ("Mental"). In linear regression models, Physical significantly predicted sleep quality improvement over the six months (p=.029), but Mental did not (p=.606). In the middle aged adults in this study, the behavioral change pattern of increasing diet quality and physical activity, significantly predicted improvements in sleep quality. While efforts to improve one's cognitive and emotional well-being were not found to predict to sleep improvement, they still may be important for cognitive health overall. This information can prove useful as different interventions and programs are implemented to improve sleep in the population.
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Kushkituah, Yudyahn. "Subjective Sleep Quality of Isolated Sleep Paralysis: Fear Parameters and Psychosocial Correlates." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6449.

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The bidirectional link between insufficient sleep and the distress related to a parasomnia known as isolated sleep paralysis (ISP) might lead to chronic health effects. The impact of fear-ridden hallucinations related to this REM sleep disorder can be both distressful and embarrassing for individuals often resulting in a reticence to seek help. This quantitative study was guided by a biopsychosocial approach with an integrated theoretical framework. One aim of the study was to determine if fear parameters of ISP (low and high) differ when considering psychosocial factors and sleep quality, based on the Dysfunctional Beliefs and Attitudes About Sleep Scale, the Social Phobia Inventory, the Locus of Control (LOC) subscales, and the Pittsburg Sleep Quality Inventory. Predictive associations between psychosocial factors and subjective sleep quality (SSQ) were also investigated. Retrospective online data from a sample of 159 participants ages 18 and over were analyzed via MANOVA, multiple regression, and independent samples t-tests. Findings from the MANOVA were significant and showed that participants who experience ISP with more fear scored higher on two measures, external other LOC and social phobia. The MANOVA regarding differences in SSQ in relation to psychosocial variables were not significant, and independent sample t-tests did not differentiate fear parameters for DBAS and SSQ (poor sleep was found for both parameters). Providers of therapeutic treatments should take factors of social phobia and external other LOC into account with regards to poor sleep quality for those distressed by ISP. Sleep quality assessments might benefit those who are afraid to disclose about ISP sleep distress, as long term poor sleep can place some at risk for negative health outcomes.
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Reichenberger, David Andrew. "Sleep Quality and Sympathovagal Balance during Stress." Thesis, North Dakota State University, 2015. https://hdl.handle.net/10365/27707.

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Sleep has been shown to be associated with the sympathetic and parasympathetic branches of the autonomic nervous system at rest and during stress. However, sleep has not been examined in the context of sympathovagal balance (the coupled relationship between the sympathetic and parasympathetic nervous systems) during stress. The current study investigated whether sleep quality was associated with sympathovagal activity and reactivity to stress. Female participants (N=59) underwent a psychosocial stress task and completed the Pittsburgh Sleep Quality Index while EKG and ICG data were collected. Sleep quality was associated with pre-ejection period at rest and during stress, ps<.05, but was not associated with high-frequency heart rate variability or with sympathovagal reactivity, ps>.05. These findings suggest that sympathetic activity and reactivity account for a significant amount of variance in the relationship between sleep and the autonomic nervous system.
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Magee, Christopher. "The relationship between chronic sleep restriction, poor sleep quality and obesity in adults." School of Psychology, 2008. http://ro.uow.edu.au/theses/99.

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This thesis consists of two literature reviews followed by three empirical chapters that examined the relationship between chronic sleep restriction and obesity. Chapter 2 reviewed available research data and presented a theoretical model linking chronic sleep restriction to obesity. This model hypothesises that chronic sleep restriction contributes to obesity by altering energy regulatory hormones such as ghrelin and leptin. It was also argued that factors such as poor mental health, medication use and long work hours contribute to chronic sleep restriction at a population level, and could have implications for improving sleep. This model provides a sound theoretical framework, which was used to guide the subsequent empirical chapters. In chapter 3, the key methodological limitations of previous studies examining the relationship between chronic sleep restriction and obesity were outlined. Methodological recommendations for future research were then provided to facilitate a more complete understanding of how chronic sleep restriction and obesity are linked in the general population. Chapter 4 tested a path model linking chronic sleep restriction to obesity in 325 adults aged 18 to 87 years, based on the theoretical framework provided in chapter 2 and the methodological recommendations listed in chapter 3. The results indicated that short sleep durations and age were associated with obesity, whilst age, uncomfortable sleep environments, irregular sleep/wake cycles and poor mental health were associated with short sleep durations. However, the results also identified potential environmental, behavioural and psychological determinants of chronic sleep restriction that could be targeted in the future treatment and prevention of obesity. Chapter 5 examined the relationship between three dimensions of sleep quality as assessed by the Pittsburgh Sleep Quality Index and obesity in 262 adults aged 18 to 35 years. Short sleep durations and increased levels of daytime dysfunction (e.g., sleepiness) were associated with obesity, whilst irregular bedtimes, noisy environments, discomfort and depression were the major factors associated with poor sleep quality. These factors could play a role in obesity interventions that target sleeping patterns and need to be further investigated. Finally, chapter 6 examined the effects of two nights of seep restriction on energy expenditure and neuroendocrine hormones involved in energy balance regulation in ten healthy male adults. The results indicated that sleep restriction led to an increase in ghrelin and a reduction in PYY, which corresponded with increased hunger and reduced satiety. The results also suggested that energy expenditure declined with sleep restriction. These results suggest that sleep restriction could contribute to obesity by altering energy expenditure and the hormonal regulation of food intake. The findings from this thesis therefore suggest that chronic sleep restriction contributes to the development of obesity by altering key pathways identified in chapter 2. The identification of possible determinants of chronic sleep restriction has potential applications for the treatment and prevention of obesity. For example, the factors identified in chapters 4 and 5 could be targeted as a way to promote healthy sleep durations, and could be effective in improving the efficacy of existing interventions for obesity.
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Lam, Pak-sai, and 林百茜. "Sleep quality versus sleep quantity: relationship between sleep and measures of health, well-being andsleepiness in University students." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31971908.

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Books on the topic "Sleep quality"

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C, Verster Joris, Pandi-Perumal S. R, and Streiner David L, eds. Sleep and quality of life in clinical medicine. Totowa, NJ: Humana Press, 2008.

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Tynjälä, Jorma. Sleep habits, perceived sleep quality and tiredness among adolescents: A health behavioural approach. Jyväskylä: University of Jyväskylä, 1999.

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Verster, Joris C., S. R. Pandi-Perumal, and David L. Streiner, eds. Sleep and Quality of Life in Clinical Medicine. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-343-5.

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L, Neale Vicki, United States. Federal Motor Carrier Safety Administration., and Virginia Polytechnic Institute and State University. Transportation Institute., eds. Impact of sleeper berth usage on driver fatigue: Task 1 report: analysis of trucker sleep quality. Washington, D.C: U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2000.

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Cooley, M. E. Artesian pressures and water quality in Paleozoic aquifers in the Ten Sleep area of the Bighorn Basin, north-central Wyoming. Washington, D.C: Dept. of the Interior, U.S. Geological Survey, 1986.

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Cooley, M. E. Artesian pressures and water quality in Paleozoic aquifers in the Ten Sleep area of the Bighorn Basin, north-central Wyoming. Cheyenne, Wyo: U.S. Dept. of the Interior, Geological Survey, 1985.

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L, Neale Vicki, United States. Federal Motor Carrier Safety Administration, and Virginia Polytechnic Institute and State University. Transportation Institute, eds. Impact of sleeper berth usage on driver fatigue: Task 1 report: analysis of trucker sleep quality. Washington, D.C: U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2000.

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L, Neale Vicki, United States. Federal Motor Carrier Safety Administration., and Virginia Polytechnic Institute and State University. Transportation Institute., eds. Impact of sleeper berth usage on driver fatigue: Task 1 report: analysis of trucker sleep quality. Washington, D.C: U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2000.

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BENJAMIN, Liam. Sleep Fix: How to Enjoy Quality Sleep. Independently Published, 2022.

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Biohacking Sleep Apnea: Get a Quality Sleep. Independently Published, 2021.

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Book chapters on the topic "Sleep quality"

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Kline, Christopher. "Sleep Quality." In Encyclopedia of Behavioral Medicine, 1811–13. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_849.

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Kline, Christopher E. "Sleep Quality." In Encyclopedia of Behavioral Medicine, 1–3. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_849-2.

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Kline, Christopher E. "Sleep Quality." In Encyclopedia of Behavioral Medicine, 2064–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_849.

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Sarzetto, Alessandro, Federico Pacchioni, Giulia Moretti, Chiara Ave, Livio Amoresano, and Guido Travaini. "Sleep, Sleep Quality, and Aggression." In Handbook of Anger, Aggression, and Violence, 1–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98711-4_77-1.

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Jensen, Mark P. "Measuring sleep quality." In The pain stethoscope: A clinician’s guide to measuring pain, 29–31. Tarporley: Springer Healthcare Ltd., 2011. http://dx.doi.org/10.1007/978-1-908517-43-2_7.

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Brooks Holliday, Stephanie, and Wendy Troxel. "Relationship Quality: Implications for Sleep Quality and Sleep Disorders." In Family Contexts of Sleep and Health Across the Life Course, 53–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64780-7_3.

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Empson, Jacob. "Determinants of Sleep Quality." In Sleep and Dreaming, 142–51. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-1-137-05356-5_9.

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Urponen, H., M. Partinen, I. Vuori, and J. Hasan. "Sleep Quality and Health: Description of the Sleep Quality Index." In Sleep and Health Risk, 555–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76034-1_63.

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Lack, Leon, and Helen Wright. "Pittsburgh Sleep Quality Index." In Encyclopedia of Quality of Life and Well-Being Research, 4814–16. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2173.

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Shahid, Azmeh, Kate Wilkinson, Shai Marcu, and Colin M. Shapiro. "Sleep Quality Scale (SQS)." In STOP, THAT and One Hundred Other Sleep Scales, 345–50. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9893-4_85.

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Conference papers on the topic "Sleep quality"

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Jeon, Sanghoon, Anand Paul, Haengju Lee, Yongsoon Bun, and Sang Hyuk Son. "SleePS: Sleep position tracking system for screening sleep quality by wristbands." In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8123110.

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Almeida, Beatriz, Carlos Albuquerque, Madalena Cunha, and Anabela Antunes. "SLEEP QUALITY AND SLEEP HABITS IN STUDENTS." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end102.

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Introduction: The student stage is marked by many changes that will affect different aspects of young youth life, including changes in sleep patterns. Sleep is known to play an active role in the overall development of students, mainly because of its restorative functions and an insufficient number of hours of sleep can be associated with consequences on physical and mental health. Objectives: To analyze the factors that interfere with higher education students’ sleep quality. Methods: A systematic review of the literature was carried out drawing on a selection of articles published between 2012 and 2020, following the method proposed by the Joanna Briggs Institute and according to the Preferred reporting items for systematic reviews and meta-analyzes (PRISMA). This selection was carried out using PubMed, B-On and SCIELO search engines. The review was based on 5 articles whose methodological quality was found to be undeniable. Results: Results show that, on the whole, students suffer from a poor quality of sleep. This situation is commonly associated with factors such as being a higher education student worker, shift work, or caffeine, alcohol, and tobacco use, among others. Conclusions: In view of the outcomes, it became clear that higher education students need to be made more aware of the importance of sleep habits and daytime sleepiness, and to improve their health literacy. They need to be informed and trained in these areas so they may reduce or at least prevent certain risk behaviours that increasingly threaten their sleep quality and overall health.
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Ali, Raja Mahamade, Monica Zolezzi, and Ahmed Awaisu. "Exploration of Sleep Quality and Sleep Hygiene among QU students." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0181.

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Sleep is an important component of healthy lifestyles. Worldwide reports suggest that one in every three adults suffers from insomnia. University students are vulnerable to insomnia due to their stressful lifestyle and inconsistent sleeping schedules, which contribute to poor, sleep hygiene. The purpose of this study is to explore the prevalence of sleeping problems among university students in Qatar and to investigate factors contributing to insomnia development. A cross-sectional survey utilizing two validated sleep questionnaires, the Pittsburgh sleep quality index (PSQI) and the sleep hygiene index (SHI), were administered to Qatar University (QU) students in either English or Arabic. An online survey was sent to all QU students through e-mail. Descriptive and inferential statistics were used to analyse and report the findings. A total of 2,062 students responded to this survey. Most of the respondents were females, Qataris, and the majority of them belonged to the colleges of Arts and Sciences, Business and Economics or Engineering. Around 25% of the participating students reported previous use of sleep aids. The findings indicated that the majority of the students had poor sleep quality (69.7%) and poor sleep hygiene (79%). A positive association was found between sleep quality and sleep hygiene (r = 0.39; p < 0.0001). College distribution and marital status were shown to significantly influence sleep quality (p =0.031 and p=0.02 respectively). The regression analysis revealed that sleep hygiene had the greatest effect on sleep quality (accounting for 7% of the variance) and individuals with good sleep hygiene were 4 times more likely to have good sleep quality. The findings of this study suggest that poor sleep quality and inadequate sleep hygiene practices are common among university students in Qatar, both of which may have a negative impact on students’ academic performance which warrants further investigation in future studies.
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Han, Hyonyoung, Jun Jo, Youngsung Son, and Junhee Park. "Smart sleep care system for quality sleep." In 2015 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2015. http://dx.doi.org/10.1109/ictc.2015.7354571.

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Akinwalere, O. O., O. F. Awopeju, B. O. Adeniyi, and G. E. Erhabor. "Sleep Quality Health-Related Quality Asthmatics." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2702.

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Baskent, Gamze, Nurhan Ozata Keskin, and Gulden Gokçay. "The quality of sleep in nurses." In ERS/ESRS Sleep and Breathing Conference 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2017.p1.

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Amarasena, Jeewaka, Nimesh Indimagedara, Sandamith Wanigasuriya, Buddhima Bandare, Koliya Pulasinghe, and Janani Tharmaseelan. "iPillow: Sleep Quality Improvement System." In 2019 International Conference on Advancements in Computing (ICAC). IEEE, 2019. http://dx.doi.org/10.1109/icac49085.2019.9103396.

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Severin, R., and S. Phillips. "Respiratory muscle fatiguability is higher in obese individuals with poor sleep quality." In Sleep and Breathing 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2021.6.

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Ozturk, Nur Selin, Rengin Demir, Nihal Sakalli, and Sansin Tuzun. "Relationship between sleep quality and quality of life in women with low bone mineral density." In ERS/ESRS Sleep and Breathing Conference 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/23120541.sleepandbreathing-2017.p88.

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Mizutani, Chiyomi, Ryoji Hirota, and Kanji Kajiwara. "The effect of anti-itch fiber on the quality of sleeping." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001554.

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For humans, sleeping has a role of restoring mind and body, and is an important function for recovery from fatigue. In recent years, more focus has been put on the quality of sleep rather than the quantity of sleep, and it has been found that the bedding and sleeping garments could disturb the quality of sleep. There are many factors disturbing sleep, and itching during sleep deteriorates the quality of sleeping. Patients with atopic dermatitis are particularly suffering from poor sleep due to itching. Based on the results of our research so far, we have found that weak-acidic polyester, which possesses weak-acidic groups, suppresses itching due to atopic dermatitis. In this study, we adapt weak-acidic polyester to sleeping garments which contact directly with skin and aim to investigate whether the quality of sleeping is improved by suppressing itchiness during sleep. The sleeping garments were prepared with the weak-acidic polyester and untreated polyester fabrics. We asked 7 females with atopic dermatitis in their twenties and 7 healthy females in their twenties as subjects to wear the prepared sleeping garments at home. The quality of sleep was assessed by an electroencephalograph and the Athens insomnia scale, and the degree of itching was scored on a scale of 100 according to the visual analog scale (VAS). Sleep is specified by REM sleep and non-REM sleep according to brain activity at sleep. In REM sleep, the brain is still actively working and memory is organized and established. In non-REM sleep, the cerebrum is considered to be resting and is important for recovery from fatigue of the brain and body. Good sleep is determined by the amount of non-rem sleep. The wear tests confirmed that the weak-acidic polyester scored a higher rate of non-REM sleep than that of the untreated polyester in summer season. All the subjects wearing the weak-acidic polyester had a lower degree of itchiness and a higher proportion of non-REM sleep, confirming the effect of weak-acidic polyester.
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Reports on the topic "Sleep quality"

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Chen, Meng-Yi, Yu-Tao Xiang, Yue-Ying Wang, Tong Leong Si, and Yu-Fei Liu. Prevalence of poor sleep quality in schizophrenia: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0021.

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GUI, ZHEN, Yue-Ying WANG, Jia-Xin Li, and Tao XIANG. Prevalence of poor sleep quality in COVID-19 patients: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0121.

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Review question / Objective: The inclusion criteria for this study are based on the PICOS acronym: Participants (P): COVID-19 patients based on positive Coronavirus RT-PCR (reverse transcription-polymerase chain reaction) of nasopharyngeal and oropharyngeal swabs or a history of COVID-19 infection. Following previous research, the COVID-19 patients in this study will include the period of COVID-19 infection, symptom onset, recovery, and the onset of post-acute COVID-19 symptoms. Interventions (I): not applicable; Comparisons (C): healthy controls in comparative studies, or not applicable to epidemiological surveys; Outcome (O): the prevalence of poor sleep quality (PSQ) or available data could yield the prevalence of PSQ in COVID-19 patients. Sleep quality in COVID-19 patients will be assessed using standardized scales such as the Pittsburgh Sleep Quality Index (PSQI); Study design (S): epidemiological and comparative studies (only the baseline data of cohort study will be extracted).
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Birge, Mara. Sleep Quality and Quantity of Portland State University Intercollegiate Student-Athletes: A Case Study. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1983.

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Zhang, Wei, Yi Liu, Dongze Li, and Yu Jia. Exercise for sleep quality in older adults: a protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2020. http://dx.doi.org/10.37766/inplasy2020.11.0032.

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Basis, Najwa, and Tamar Shochat. Associations between religion and sleep: A systematic review of observational studies in the adult population. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0057.

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Review question / Objective: The aim of this systematic review is to investigate observational studies on the association between religion and sleep in the adult population. To this end, the proposed systematic review will address the following question: What is the role religion plays in shaping an individual's sleep health? Condition being studied: Sleep is a fundamental biological process increasingly recognized as a critical indicator of development and overall health. Generally, insufficient sleep is associated with depressed mood, daytime fatigue, poor daytime functioning and daytime sleepiness, increased risk of cancer, cardiovascular problems, diabetes, and the cause of the higher risk of mortality. Furthermore, changes in sleep architecture and quality have been related to cognitive deterioration, including dementia and Alzheimer's disease. Here we will identify the role of religion in elements of sleep health, to include sleep duration and sleep quality, and associated health outcomes in the adult population.
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Cai, Ying, Peiye Cao, Shifang Zhang, and Qiaoqin Wan. The effectiveness of different exercise modalities on sleep quality: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2020. http://dx.doi.org/10.37766/inplasy2020.5.0096.

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Heller, H. C., and Dennis A. Grahn. Can Heat Exchange Through the Rete Venosum of a Hand or Foot Improve Quality of Sleep? Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada534191.

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Torres, Claudia Fernandez, and Alvaro Zubizarreta Macho. Mandibular advancement appliances to treat apnea: an update of the most used currently. A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0034.

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Review question / Objective: Mandibular advancement devices used to treat obstructive sleep apnea. Condition being studied: Obstructive sleep apnea is characterized by episodes of a complete (apnea) or partial collapse (hypopnea) of the upper airway with an associated decrease in oxygen saturation or arousal from sleep. This disturbance results in fragmented, nonrestorative sleep. Other symptoms include loud, disruptive snoring, witnessed apneas during sleep, and excessive daytime sleepiness. OSA has significant implications for cardiovascular health, mental illness, quality of life, and driving safety.
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Luo, Yuzhou, Rui Wang, Zhongwei Jiang, and Xiqing Zuo. Assessment of the Effect of Health Monitoring System on the Sleep Quality by Using Support Vector Machine. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2018. http://dx.doi.org/10.7546/crabs.2018.01.16.

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Luo, Yuzhou, Rui Wang, Zhongwei Jiang, and Xiqing Zuo. Assessment of the Effect of Health Monitoring System on the Sleep Quality by Using Support Vector Machine. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2018. http://dx.doi.org/10.7546/grabs2018.1.16.

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