Effects of Pregabalin on Subjective Sleep Disturbance Symptoms during Withdrawal from Long-Term Benzodiazepine Use

2011 ◽  
Vol 17 (5) ◽  
pp. 262-270 ◽  
Author(s):  
Gabriel Rubio ◽  
Julio Bobes ◽  
Gaspar Cervera ◽  
Antonio Terán ◽  
María Pérez ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Subjective Sleep ◽  
Benzodiazepine Use

The effects of long-term exposure to railway and road traffic noise on subjective sleep disturbance

2010 ◽  
Vol 128 (5) ◽  
pp. 2829-2835 ◽  
Author(s):  
Jiyoung Hong ◽  
Jaehwan Kim ◽  
Changwoo Lim ◽  
Kyutae Kim ◽  
Soogab Lee
Keyword(s):  
Sleep Disturbance ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Subjective Sleep

PW01-241 - The effect of pregabalin on subjective sleep problems during withdrawal from long-term benzodiazepine use

2010 ◽  
Vol 25 ◽  
pp. 1669
Author(s):  
G. Rubio ◽  
J. Bobes ◽  
G. Cervera ◽  
A. Terán ◽  
M. Perez ◽  
...  
Keyword(s):  
Sleep Problems ◽  
Subjective Sleep ◽  
Benzodiazepine Use

scholarly journals The Effect of Virtual Mindfulness-Based Interventions on Sleep Quality: A Systematic Review of Randomized Controlled Trials

2021 ◽  
Vol 23 (9) ◽  
Author(s):  
Amanda Jiang ◽  
Michael Rosario ◽  
Sara Stahl ◽  
Jessica M. Gill ◽  
Heather L. Rusch
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Preliminary Evidence ◽  
Delivery Method ◽  
Attrition Rates ◽  
Long Term Effect ◽  
Evidence Based Treatments ◽  
Intervention Adherence ◽  
Improve Sleep Quality

Abstract Purpose of Review We summarized peer-reviewed literature investigating the effect of virtual mindfulness-based interventions (MBIs) on sleep quality. We aimed to examine the following three questions: (1) do virtual MBIs improve sleep quality when compared with control groups; (2) does the effect persist long-term; and (3) is the virtual delivery method equally feasible compared to the in-person delivery method? Recent Findings Findings suggest that virtual MBIs are equivalent to evidence-based treatments, and to a limited extent, more effective than non-specific active controls at reducing some aspects of sleep disturbance. Overall, virtual MBIs are more effective at improving sleep quality than usual care controls and waitlist controls. Studies provide preliminary evidence that virtual MBIs have a long-term effect on sleep quality. Moreover, while virtual MBI attrition rates are comparable to in-person MBI attrition rates, intervention adherence may be compromised in the virtual delivery method. Summary This review highlights virtual MBIs as a potentially effective alternative to managing sleep disturbance during pandemic-related quarantine and stay-at-home periods. This is especially relevant due to barriers of accessing in-person interventions during the pandemic. Future studies are needed to explore factors that influence adherence and access to virtual MBIs, with a particular focus on diverse populations.

Long term sleep disturbance due to traffic noise

1983 ◽  
Vol 90 (2) ◽  
pp. 173-191 ◽  
Author(s):  
M. Vallet ◽  
J.-M. Gagneux ◽  
V. Blanchet ◽  
B. Favre ◽  
G. Labiale
Keyword(s):  
Sleep Disturbance ◽  
Traffic Noise

scholarly journals Long-term benzodiazepine use by elderly people living in the community

2000 ◽  
Vol 24 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Anthony F. Jorm ◽  
David Grayson ◽  
Helen Creasey ◽  
Louise Waite ◽  
G.A. Broe
Keyword(s):  
Elderly People ◽  
Benzodiazepine Use

scholarly journals O003 The impact of wind farm noise in a laboratory setting on objective and subjective sleep efficiency

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A1-A2
Author(s):  
T Liebich ◽  
L Lack ◽  
G Micic ◽  
K Hansen ◽  
B Zajamsek ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Wind Farm ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Sleep Efficiency ◽  
Self Report ◽  
Sleep Diary ◽  
Noise Condition ◽  
Subjective Sleep ◽  
The Impact

Abstract Introduction Well-controlled studies of wind farm noise (WFN) on sleep are lacking despite complaints and known effects of other noise types on sleep. This laboratory-based study investigated the impact of continuous full-night WFN exposure replicated from field recordings on polysomnography-measured (objective) and sleep diary-determined (subjective) sleep efficiency compared to a quiet control night. Methods Based on residential location and self-report data, 50 participants were categorised into three groups (14 living <10km from a wind farm and self-reporting sleep disturbance; 19 living <10km from a wind farm and self-reporting no sleep disturbance and 18 controls living in a quiet rural area). Participants underwent full in-laboratory polysomnography during exposure to continuous WFN (25 dB(A)) throughout the night and a quiet control night (background noise 19 dB(A)) in random order. Group and noise condition effects were examined via linear mixed model analysis. Results Participants (30 females) were aged (mean±SD) 54.9±17.6 range: 18–80 years. Sleep efficiency in the control condition was (median [interquartile range]) objective: 85.5 [77.4 to 91.2]%; subjective: 85.7 [69.2 to 92.7]%) versus the WFN condition (objective: 86.1 [78.6 to 91.7]% subjective: 85.8 [66.2 to 93.8]%) with no significant main or interaction effects of group or noise condition (all p’s >0.05). Conclusion These results do not support that WFN at 25 dB(A) significantly impacts objective or subjective sleep efficiency in participants with or without prior WFN exposure or self-reported WFN-related sleep disturbance. Further analyses to investigate potential sleep micro-structural changes remain warranted.

Sign in / Sign up

Export Citation Format

Share Document