scholarly journals Relationships Between a Range of Inflammatory Biomarkers and Subjective Sleep Quality in Chronic Insomnia Patients: A Clinical Study

2021 ◽  
Vol Volume 13 ◽  
pp. 1419-1428
Author(s):  
Lan Xia ◽  
Ping Zhang ◽  
Jing-Wen Niu ◽  
Wei Ge ◽  
Jun-Tao Chen ◽  
...  
Keyword(s):  
Clinical Study ◽  
Sleep Quality ◽  
Inflammatory Biomarkers ◽  
Chronic Insomnia ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals Yoga nidra practice shows improvement in sleep in patients with chronic insomnia: A randomized controlled trial

2021 ◽  
Vol 34 ◽  
pp. 143-150
Author(s):  
KARUNA DATTA ◽  
MANJARI TRIPATHI ◽  
MANSI VERMA ◽  
DEEPIKA MASIWAL ◽  
HRUDA NANDA MALLICK
Keyword(s):  
Sleep Quality ◽  
Salivary Cortisol ◽  
Controlled Trial ◽  
Sleep Onset ◽  
Sleep Time ◽  
Chronic Insomnia ◽  
Sleep Diary ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Yoga Nidra

Background Yoga nidra is practised by sages for sleep. The practice is simple to use and has been clearly laid out, but its role in the treatment of chronic insomnia has not been well studied. Methods In this randomized parallel-design study conducted during 2012–16, we enrolled 41 patients with chronic insomnia to receive conventional intervention of cognitive behavioural therapy for insomnia (n=20) or yoga nidra (n=21). Outcome measures were both subjective using a sleep diary and objective using polysomnography (PSG). Salivary cortisol levels were also measured. PSG was done before the intervention in all patients and repeated only in those who volunteered for the same. Results Both interventions showed an improvement in subjective total sleep time (TST), sleep efficiency, wake after sleep onset, reduction in total wake duration and enhancement in subjective sleep quality. Objectively, both the interventions improved TST and total wake duration and increased N1% of TST. Yoga nidra showed marked improvement in N2% and N3% in TST. Salivary cortisol reduced statistically significantly after yoga nidra (p=0.041). Conclusion Improvement of N3 sleep, total wake duration and subjective sleep quality occurred following yoga nidra practice. Yoga nidra practice can be used for treatment of chronic insomnia after supervised practice sessions.

scholarly journals Physical Activity and Inhibitory Control: The Mediating Role of Sleep Quality and Sleep Efficiency

2021 ◽  
Vol 11 (5) ◽  
pp. 664
Author(s):  
Lin Li ◽  
Qian Yu ◽  
Wenrui Zhao ◽  
Fabian Herold ◽  
Boris Cheval ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Inhibitory Control ◽  
Sleep Efficiency ◽  
Equation Modeling ◽  
Control Performance ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Sleep Parameters ◽  
The Relationship

Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.

Impact of Treatment for Nasal Cavity Disorders on Sleep Quality: Systematic Review and Meta-analysis

2021 ◽  
pp. 019459982110295
Author(s):  
Jacob Fried ◽  
Erick Yuen ◽  
Kathy Zhang ◽  
Andraia Li ◽  
Nicholas R. Rowan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Nasal Obstruction ◽  
Meta Analysis ◽  
Mean Difference ◽  
Cochrane Library ◽  
Life Questionnaire ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
The Impact

Objective To determine the impact of treatment for patients with nasal obstruction secondary to allergic rhinitis (AR) and nasal septal deviation (NSD) on sleep quality. Data Sources Primary studies were identified though PubMed, Scopus, Cochrane Library, and Web of Science. Review Methods A systematic review was performed by querying databases for articles published through August 2020. Studies were included that reported on objective sleep parameters (apnea-hypopnea index) and sinonasal and sleep-specific patient-reported outcome measures: Rhinoconjunctivitis Quality of Life Questionnaire, Nasal Obstruction Symptom Evaluation, Epworth Sleepiness Scale (EpSS), and Pittsburgh Sleep Quality Index (PSQI). Results The database search yielded 1414 unique articles, of which 28 AR and 7 NSD studies were utilized for meta-analysis. A total of 9037 patients (8515 with AR, 522 with NSD) were identified with a mean age of 35.0 years (35.3 for AR, 34.0 for NSD). Treatment for AR and NSD significantly improved subjective sleep quality. For AR, the EpSS mean difference was −1.5 (95% CI, –2.4 to –0.5; P = .002) and for the PSQI, –1.7 (95% CI, –2.1 to –1.2; P < .00001). For NSD, the EpSS mean difference was −3.2 (95% CI, –4.2 to –2.2; P < .00001) and for the PSQI, –3.4 (95% CI, –6.1 to –0.6; P = .02). Conclusion Subjective sleep quality significantly improved following treatment for AR and NSD. There were insufficient data to demonstrate that objective metrics of sleep quality similarly improved.

Subjective sleep quality and sleep architecture in aging

2019 ◽  
Vol 64 ◽  
pp. S231-S232
Author(s):  
D. Lorrain ◽  
D. Bélisle ◽  
I. Viens
Keyword(s):  
Sleep Quality ◽  
Sleep Architecture ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals 192 Self-reported sleep features in the Italian population across the first and second wave of the COVID-19 pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A77-A78
Author(s):  
Oreste De Rosa ◽  
Nicola Cellini ◽  
Francesca Conte ◽  
Serena Malloggi ◽  
Fiorenza Giganti ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Italian Population ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Time Points ◽  
Time In Bed ◽  
Second Wave

Abstract Introduction Several studies have shown the negative impact of COVID-19-related confinement measures (spring 2020) on sleep features and quality. Here we aim to follow-up on these data by assessing self-reported sleep characteristics during the second wave of the pandemic (autumn 2020) in Italy, where the government responded with a second, partial, lockdown. Methods Using a longitudinal approach, 214 participants (Mage=36.78±14.2y; 159F) who had participated in a previous survey (April 2020 – Total Lockdown, TL) completed the same online survey from November 10th to December 1st (Partial Lockdown, PL). In each survey, participants had to respond to a set of questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), referring to their current situation and, retrospectively, to their situation before the lockdown, resulting in four time-points (pre-TL, TL, pre-PL, PL). Results Linear mixed-model analysis showed that bedtime was delayed from pre-TL (23:46) to TL (24:42) and then linearly advanced in pre-PL (24:02) and PL (23:56). The same pattern emerged for rise time (pre-TL: 07:48, TL: 9:05, pre-PL: 8:28, PL: 7:58) and time in bed, which increased from pre-TL (8h4min) to TL (8h24min) and then linearly decreased (pre-PL: 8h15m, PL: 8h2m). Subjective sleep quality decreased in the two lockdowns compared to the period with no restrictions. The proportion of poor sleepers (PSQI&gt;5) increased from 39.7% (pre-TL) to 48.6% in TL and again from 36.9% (pre-PL) to 47.7% in PL. Conclusion Sleep habits and quality showed different profiles across four time-points of the COVID-19 pandemic and related restrictive measures. Sleep timing alterations appeared during the first lockdown, recovered after the confinement period, and almost returned to baseline during the second lockdown (likely due to a normalization of working schedules). Instead, subjective sleep quality markedly worsened during both lockdowns relative to the preceding respective months. These data suggest that subjective sleep quality is particularly sensitive to changes in life habits and psychological factors, independently of sleep habits. Considering that the pandemic situation may continue for several months, there is a need for interventions targeting sleep quality. Support (if any) N/A

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