Exergame to Improve Sleep Quality and Mental Healthcare

2019 ◽  
Author(s):  
Keyword(s):  
Sleep Quality ◽  
Mental Healthcare ◽  
Improve Sleep Quality

Can mental healthcare nurses improve sleep quality for inpatients?

2010 ◽  
Vol 19 (17) ◽  
pp. 1100-1105 ◽  
Author(s):  
Gerrit de Niet ◽  
Bea Tiemens ◽  
Giel Hutschemaekers
Keyword(s):  
Sleep Quality ◽  
Mental Healthcare ◽  
Improve Sleep Quality

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.

scholarly journals Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

A nonpharmacological approach to improve sleep quality in older adults

2017 ◽  
Vol 10 (2) ◽  
pp. e12301 ◽  
Author(s):  
Iris Rawtaer ◽  
Rathi Mahendran ◽  
Hui Yu Chan ◽  
Feng Lei ◽  
Ee Heok Kua
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Improve Sleep Quality

Effects of air mattress pressure on sleep quality and physiological responses: comparison of shoulder and hip pressure relief

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yoon Jeong Baek ◽  
Seung-Hyun Kim ◽  
Sayup Kim ◽  
Eui-Sang Yoo ◽  
Joo-Young Lee
Keyword(s):  
Sleep Quality ◽  
Surface Pressure ◽  
Pressure Control ◽  
Body Region ◽  
High Quality ◽  
Pressure Relief ◽  
Content Type ◽  
Quality Sleep ◽  
Improve Sleep Quality

PurposeThe purpose of the present study was to evaluate the effect of air mattress pressure on sleep quality.Design/methodology/approachTen young healthy males participated in all hard surface [AH], shoulder soft [SS] and shoulder and hip soft mattress [SHS] conditions. The surface pressure for SS and SHS were set at their preferred levels.FindingsThe results showed that sleep efficiencies were over 95% for all the three conditions; there were no significant differences in individual sleep variables among the three conditions, but overall sleep quality was better for SS than AH (p = 0.065); heart rates during sleep was greater for AH than the other two conditions (p < 0.1); and a stronger relationship between clothing and bed microclimate humidity were found for SS and SHS than that for AH.Research limitations/implicationsThese results indicated that the both pressure relief air mattresses that were set at their own preferred levels provided high quality sleep with no marked differences.Practical implicationsAir pressure relief mattresses can improve sleep quality of healthy individuals during sleep at night. The results can be used to understand appropriate pressure distribution on surface mattress according to body region, and also to develop algorithms to provide optimum sleep using mattresses with surface pressure control by body region.Originality/valueThe present study found that the shoulder and/or hip pressure relief air mattresses that were set at their own preferred levels provided high quality sleep with no marked differences.

scholarly journals The effects of nasal breathing on the development of snoring and apnea

2020 ◽  
pp. 89-94
Author(s):  
Svetlana E. Yaremchuk
Keyword(s):  
Sleep Quality ◽  
Nasal Congestion ◽  
Upper Airway ◽  
Case Control Studies ◽  
Nasal Breathing ◽  
Adequate Treatment ◽  
Randomized Controlled ◽  
Breathing Disorders ◽  
Nasal Steroids ◽  
Improve Sleep Quality

Since the nose is the entrance gate of the upper airway, its stuffiness can contribute to sleep disturbance. The results of a number of case-control studies have shown that nasal congestion frequency associated with snoring and mild OSA. However, there is no strong correlation between the degree of nasal obstruction and the severity of OSA. Randomized controlled trials have shown that in patients with rhinitis, both allergic and non-allergic, the use of nasal steroids can improve sleep quality and may be useful for patients with mild OSA, but they themselves are not an adequate treatment. Surgical correction of nasal breathing disorders also reduces the apnea index and improves sleep quality.

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