Associations between sleep disturbance and suicidal ideation in adolescents admitted to an inpatient psychiatric unit

2014 ◽  
Vol 26 (3) ◽  
pp. 411-416 ◽  
Author(s):  
Sebastian G. Kaplan ◽  
Shahzad K. Ali ◽  
Brittany Simpson ◽  
Victoria Britt ◽  
W. Vaughn McCall
Keyword(s):  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Psychiatric Inpatient ◽  
Sleep Hygiene ◽  
Assessment Tools ◽  
Clinical Samples ◽  
Dysfunctional Beliefs ◽  
Adolescent Sleep ◽  
Quality Sleep

Abstract The goals of our study were to: 1) describe the incidence of disturbances in sleep quality, sleep hygiene, sleep-related cognitions and nightmares; and 2) investigate the association between these sleep-related disturbances and suicidal ideation (SI), in adolescents admitted to a psychiatric inpatient unit. Our sample consisted of 50 adolescents between the ages of 12 and 17 years (32 females and 18 males; 41 Caucasian and nine African American). Our cross-sectional design involved the administration of the Adolescent Sleep Wake Scale (ASWS), the Adolescent Sleep Hygiene Scale (ASHS), the Dysfunctional Beliefs and Attitudes about Sleep-Short version for use with children (DBAS-C10), the Disturbing Dreams and Nightmare Scale (DDNSI), and the Suicidal Ideation Questionnaire Jr (SIQ-JR). Analyses were conducted using Pearson correlations, as well as univariate and multivariate regression. Results indicated that our sample experienced sleep disturbances and SI to a greater degree than non-clinical samples. Sleep quality was correlated with nightmares, while sleep quality and nightmares were each correlated with SI. Sleep quality, dysfunctional beliefs, and nightmares each independently predicted SI. Our study was the first to use the four sleep measures with an adolescent psychiatric inpatient sample. It is important to develop sleep-related assessment tools in high-risk populations given the link between sleep disturbances and suicidality. Furthermore, a better understanding of the relationships between SI and sleep quality, sleep-related cognitions, and nightmares is needed to develop potential prevention and treatment options for suicidality in adolescents.

scholarly journals AB0562 SLEEP HYGIENE: COULD IT BE A CONFOUNDING FACTOR FOR SLEEP QUALITY IN SYSTEMIC SCLEROSIS?

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1578.2-1578
Author(s):  
N. Gokcen ◽  
A. Komac ◽  
F. Tuncer ◽  
A. Yazici ◽  
A. Cefle
Keyword(s):  
Systemic Sclerosis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Beck Depression Inventory ◽  
Sleep Disturbances ◽  
Activity Index ◽  
Univariate Analysis ◽  
Sleep Hygiene ◽  
Healthy Controls ◽  
Clinical Variables

Background:Sleep disturbances have been described in Systemic Sclerosis (SSc). Confounding factors related to sleep quality are also investigated. Although sleep hygiene plays an important role in sleep quality, as far as we know, there are not enough data to show the effect of sleep hygiene on sleep quality of SSc.Objectives:To investigate sleep hygiene, its impact on sleep quality, and its association with demographic-clinical factors in patients with SSc, rheumatoid arthritis (RA), and healthy controls.Methods:The study was designed as cross-sectional. Forty-nine patients with SSc who fulfilled the 2013 ACR/EULAR classification criteria for SSc, 66 patients with RA who fulfilled 1987 revised classification criteria, and 30 healthy controls were included in the study. All participants were female. Demographic and clinical variables were documented. Disease activity index of both SSc and RA was calculated. SSc patients were assessed by questionnaires including Short Form 36 (SF-36), The Health Assessment Questionnaire Disability Index (HAQ-DI), Beck Anxiety and Beck Depression Inventory, Pittsburg Sleep Quality Index (PSQI), Sleep Hygiene Index (SHI). Additionally, RA patients and healthy controls were estimated by HAQ-DI, Beck Anxiety and Beck Depression Inventory, PSQI, and SHI. Logistic regression analysis was used to determine the predictors of sleep quality.Results:Preliminary results of the study were given. The baseline demographics were similar among groups. When comparing groups according to HAQ-DI, Beck Anxiety and Beck Depression Inventory, PSQI, and SHI, we found higher scores in SSc and RA rather than healthy controls (p<0.001, p=0.001, p=0.001, p<0.001, p=0.003; respectively). While depression and sleep hygiene were determined as the risk factors of sleep quality in SSc in univariate analysis, depression (OR=1.380, 95%CI: 1.065−1.784, p=0.015) and sleep hygiene (OR=1.201, 95%CI: 1.003−1.439, p=0.046) were also found in multivariate logistic model. In RA patients, while health status, depression, and anxiety were found as risk factors according to the univariate analysis, depression (OR=1.120, 95%CI: 1.006−1.245, p=0.038) was the only factor according to multivariate logistic model (Table).Conclusion:Although depression is a well-known clinical variable impacting on sleep quality, sleep hygiene should also be kept in mind as a confounding factor.References:[1]Milette K, Hudson M, Körner A, et al. Sleep disturbances in systemic sclerosis: evidence for the role of gastrointestinal symptoms, pain and pruritus. Rheumatology (Oxford). 2013 Sep;52(9):1715-20.[2]Sariyildiz MA, Batmaz I, Budulgan M, et al. Sleep quality in patients with systemic sclerosis: relationship between the clinical variables, depressive symptoms, functional status, and the quality of life. Rheumatol Int. 2013 Aug;33(8):1973-9.TableUnivariate logistic regression analysis of clinical variables to assess predictors of sleep qualitySystemic sclerosisRheumatoid arthritisOR (95% CI)pOR (95% CI)pHAQ-DI1.019 (0.882−1.177)0.8011.089 (1.011−1.173)0.025BDI score1.293 (1.082−1.547)0.0051.129 (1.036−1.230)0.006BAI score1.080 (0.997−1.169)0.0591.122 (1.038−1.214)0.004SHI1.200 (1.060−1.357)0.0041.048 (0.965−1.137)0.264Disease activitya0.707 (0.439−1.138)0.1531.446 (0.839−2.492)0.185aDisease activity was calculated by Valentini disease activity index for SSc and DAS28-CRP for RA.Disclosure of Interests:None declared

Exploring the Relationship Between Sleep Quality, Sleep Hygiene, and Psychological Distress in a Sample of Canadian Varsity Athletes

2021 ◽  
pp. 1-14
Author(s):  
Jessica Murphy ◽  
Christopher Gladney ◽  
Philip Sullivan
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Quality Index ◽  
Student Athletes ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Hygiene ◽  
Hygiene Practice ◽  
Quality Sleep ◽  
Distress Scale ◽  
The Relationship

Student athletes balance academic, social, and athletic demands, often leading to increased levels of stress and poor sleep. This study explores the relationship between sleep quality, sleep hygiene, and psychological distress in a sample of student athletes. Ninety-four student athletes completed the six-item Kessler Psychological Distress Scale (K6), Sleep Hygiene Practice Scale, and four components from the Pittsburgh Sleep Quality Index. Age, gender, and sport were also collected. The Pittsburgh Sleep Quality Index revealed that 44.7% of student athletes received ≥6.5 hr of sleep each night; 31% of athletes showed signs of severe mental illness according to the K6. Stepwise regression predicted K6 scores with the Pittsburgh Sleep Quality Index and the Sleep Hygiene Practice Scale scores as independent variables. A significant model accounting for 26% of the variation in K6 scores emerged; sleep schedule and sleep disturbances were significant predictors. Athletic staff should highlight the importance of sleep for mental health; suggestions on how to help athletes are provided.

581 Impact of Weight on Insomnia Severity, Sleep Quality, and Insomnia Improvement in a Clinically Referred Pediatric Sample

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A229-A229
Author(s):  
Kara Duraccio ◽  
Danielle Graef ◽  
Dean Beebe ◽  
Kelly Byars
Keyword(s):  
Sleep Quality ◽  
Weight Status ◽  
Sleep Hygiene ◽  
Sleep Medicine ◽  
Initial Evaluation ◽  
Clinically Referred ◽  
Adolescent Sleep ◽  
The Impact ◽  
Insomnia Severity ◽  
Over Time

Abstract Introduction Children with overweight/obesity are more likely to have shortened sleep, though little is known about the role of weight status in insomnia severity, sleep quality, and sleep hygiene in clinically referred youth. Methods A total of 1133 children (43.7% female) presented to a Pediatric Behavioral Sleep Medicine Clinic for insomnia. At the initial evaluation, caregivers of children ages 2–10.9 years (N = 744) completed the Pediatric Insomnia Severity Scale (PISI) and the Children’s Sleep Habits Questionnaire (CSHQ); adolescents ages 11–18 years (N = 389) completed the PISI, the Adolescent Sleep Hygiene Scale (ASHS), and the Adolescent Sleep Wake Scale (ASWS). The PISI was completed during at least one Pediatric Behavioral Sleep Medicine visit subsequent to evaluation and initiation of treatment. Patient height and weight, objectively measured within 3 months of the initial evaluation, was used to determine sex-adjusted body mass index z-scores (BMIz). Hierarchal linear regression models were used to determine the impact of BMIz on baseline PISI insomnia severity scores, and CSHQ, ASHS, and ASWS total scores, after covarying for income. Repeated-measures general linear modeling was used to determine whether weight status moderated improvement in insomnia severity over time, covarying for income. Results For children (ages 2–10.9), weight was not associated with baseline insomnia severity (p=.62) or predictive of insomnia improvement following behavioral sleep medicine intervention (p=.71), though higher weight predicted poorer parent-reported sleep quality (p=.006). For adolescents (ages 11–18), higher weight was predictive of higher baseline insomnia severity (p=.026), though did not predict insomnia improvement over time (p = .86); higher weight was also predictive of poorer sleep hygiene (p&lt;.001) and worse sleep quality (p=.03). Conclusion Initial insomnia severity and subjective sleep quality may be worse for youth of higher weight, particularly for adolescents; these findings increase our understanding of how and when overweight/obesity negatively impacts sleep. Fortunately, youth with higher weight respond equally well to pediatric behavioral sleep medicine interventions as their lower-weight peers, suggesting that these interventions need not be modified based on patient weight. Support (if any) Cincinnati Children’s Hospital Medical Center Division of Behavioral Medicine and Clinical Psychology’s Research Funds

Parental Behaviors, Emotions at Bedtime, and Sleep Disturbances in Children with Cancer

2020 ◽  
Vol 45 (5) ◽  
pp. 550-560
Author(s):  
Hyun Kim ◽  
Eric S Zhou ◽  
Lydia Chevalier ◽  
Phyllis Lun ◽  
Ryan D Davidson ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Cancer Treatment ◽  
Sleep Disturbance ◽  
Active Treatment ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Parental Behaviors ◽  
Children With Cancer ◽  
Quality Sleep ◽  
Children’S Sleep

Abstract Background Poor sleep is common for children during cancer treatment, but there is limited understanding of the nature of children’s sleep throughout the treatment trajectory. The current exploratory study used an explanatory sequential mixed method approach to examine quantitative associations among sleep problems in children with cancer, parental behavior, and children’s sleep hygiene, with follow-up qualitative characterizations of children’s sleep across cancer treatment stages. Procedure Eighty parents of children with cancer (aged 2–10 years; in active treatment, maintenance treatment, or off treatment) completed an online survey querying the child’s sleep quality (Sleep Disturbance Scale for Children—Disorders of Initiating and Maintaining Sleep subscale) and behaviors (Child Sleep Hygiene Scale) and sleep-related parenting behaviors (Parental Sleep Strategies). A subsample (n = 17 parents) participated in qualitative interviews to better characterize the processes of children’s sleep and parents’ sleep-related behaviors. Results Children’s sleep quality, sleep hygiene, or parental sleep strategies were not significantly different by cancer treatment groups. Greater sleep disturbance in children was associated with their parents’ tendency to accommodate the child’s bedtime requests. Qualitatively, cancer treatment-related anxiety in both children and parents influence the onset of these disruptive sleep behaviors. Conclusion Parents’ sleep-related behaviors affect children’s sleep during cancer treatment. Parents’ accommodation may start during active treatment to alleviate cancer-related challenges, and these behaviors may continue into maintenance therapy and off treatment to reinforce sleep disturbance. Behavioral interventions targeting unhelpful parental behaviors may improve sleep in children with cancer during and after cancer treatment.

scholarly journals LITERATUR REVIEW: TERAPI NON FARMAKOLOGIS UNTUK MENINGKATKAN KUALITAS TIDUR PASIEN DI ICU ATAU CCU

2021 ◽  
Vol 7 (2) ◽  
pp. 337-343
Author(s):  
Rizky Asta Pramestirini ◽  
Heny Ekawati ◽  
Suhariyati Suhariyati
Keyword(s):  
Sleep Quality ◽  
Music Therapy ◽  
Sleep Disturbances ◽  
Quality Measurement ◽  
Human Needs ◽  
Measurement Tools ◽  
Quality Sleep ◽  
Improve Sleep Quality ◽  
Sound Reduction ◽  
Switching Treatment

Abstract                 Sleep is one of the basic human needs. Good quality sleep can increase the improvement of the disease. Sleep disturbances are common among hospitalized patients in CCU and ICU. The purpose of this literature review is to compare several research results on non-pharmacological therapies (eye masks, earplugs, music therapy, turning off lights, environmental modifications) in improving sleep quality to determine the best nursing action and safe for treating sleep disorders patients. Search articles using the PICO framework in the database; Google Scholar, Ebscho, Science direct, Elseiver, MedLine, CINAHL, PubMed, and ProQuest, limited to the last 10 years; 2011 to 2021, 10 International Journals were obtained. Improved sleep quality can be done in several ways; the use of eye masks, earplugs, music therapy, light and sound reduction, switching treatment schedules outside of bedtime, and combinations. The results of the review show schedules outside of bedtime, and combinations. The results of the review show that the most effective actions applied locally to improve sleep quality are reducing lighting and noise and diverting treatment schedules outside of bedtime because it is easy, safe, and does not cost money. If the intervention has not helped, eye masks, earplugs, and/or music can be offered according to the patient's choice, local culture, and facilities available at the hospital. Further research is needed on patients outside the ICU/CCU with a larger number of samples, different age and condition characteristics, longer treatment duration, and using objective sleep quality measurement tools such as polysomnography.

The Influence of Sleep Quality, Sleep Hygiene on Cadet Life Adjustment in Korea Armed Forces Nursing Academy

2020 ◽  
Vol 38 (3) ◽  
pp. 44-56
Author(s):  
Tae-Yeon Jung ◽  
Hye-Min Kwak ◽  
Seon-Woo Lim ◽  
Geun-Chang Jang ◽  
Hyeon-Jung Cho ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Armed Forces ◽  
Sleep Hygiene ◽  
Quality Sleep

scholarly journals Awareness and practice of sleep hygiene among UniKL MBBS students and its association to sleep quality

2019 ◽  
Vol 10 (SPL1) ◽  
Author(s):  
Rehanna Mansor ◽  
Nur Hidayati Nasrudin ◽  
Anis Adila Fahmy Mohd Akmal ◽  
Azmiera Azwa Azizul ◽  
Nur Syahira Khairina Khairuddin
Keyword(s):  
Sleep Quality ◽  
Good Practice ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Hygiene Practice ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Quality Sleep ◽  
Improve Sleep Quality ◽  
Hygiene Education

Poor sleep quality is a common problem among medical students and often leads to daytime hypersomnolence and fatigue. Having a good sleep hygiene is considered to be an effective way to improve sleep quality. The purpose of this study is to assess students' sleep hygiene awareness and practices and evaluate their sleep quality. The association of sleep quality with sleep hygiene awareness and practice was also explored. The study was a cross-sectional, self-administered, and questionnaire-based study. A total of 262 UniKL RCMP MBBS students were recruited to complete sleep questionnaires adopted from internationally recognized instruments, like Sleep Hygiene Index (SHI); to assess sleep hygiene and Pittsburgh Sleep Quality Index (PSQI); to assess sleep quality. It was found that more than half of the participants (57.3%) had good knowledge on sleep hygiene. However, most of them (82.4%) had poor sleep hygiene practice. 65.6% of the students were also found to have poor sleep quality. Sleep quality was strongly correlated with sleep hygiene practice (p< 0.01) but not with sleep hygiene knowledge (p> 0.05). Appropriate measures and sleep hygiene education should be emphasized in order to raise awareness on the importance of adopting a good practice of sleep hygiene among the students.

Lifestyle Practices and Nocturnal Sleep in Midlife Women with and without Insomnia

2004 ◽  
Vol 6 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Rita E. Cheek ◽  
Joan L. Shaver ◽  
Martha J. Lentz
Keyword(s):  
Sleep Quality ◽  
Sleep Hygiene ◽  
Drinking Alcohol ◽  
Nocturnal Sleep ◽  
Sleep Monitoring ◽  
Community Based ◽  
Dummy Variables ◽  
Lifestyle Practices ◽  
Quality Sleep ◽  
History Of

Relationships between common lifestyle practices important to sleep hygiene (e.g., smoking cigarettes, drinking alcohol, ingesting caffeine, exercising, bedtimes, getting-up times) and nocturnal sleep have not been documented for women with insomnia in their home environments. This community-based sample of 121 women, ages 40 to 55 years, included 92 women who had experienced insomnia for at least 3 months and 29womenwith good-quality sleep. Women recorded lifestyle practices and sleep perceptions (time to fall asleep, awakenings during sleep, feeling rested after sleeping, and overall sleep quality) in diaries while undergoing 6 nights of somnographic sleep monitoring at home. Compared to women with good-quality sleep, women with insomnia reported greater nightto-night variation in perceived sleep variables, poorer overall sleep quality (M = 2.8,SD = 0.7 vs.M = 1.9,SD = 0.5,P < 0.05), and longer times to fall asleep (M = 25 min,SD = 14.2 vs.M = 12.9 min,SD = 5.8,P < 0.05). Correlations between mean individual lifestyle practice scores and mean perceived or somnographic sleep variables were low, ranging from 0 to 0.20. An aggregated sleep hygiene practice score was not associated with either perceived or somnographic sleep variables. Regression analysis using dummy variables showed that combinations of alcohol, caffeine, exercise, smoking, and history of physical disease explained 9% to 19% of variance in perceived or somnographic sleep variables. Lifestyle practices, and combinations thereof, do warrant consideration when assessing or treating insomnia, but these data fail to support a dominant relationship between lifestyle practices and either perceived or somnographic sleep variables.

scholarly journals Sleep in Hospitalized Patients

2019 ◽  
Vol 1 (1) ◽  
pp. 151-165
Author(s):  
Anne Morse ◽  
Evin Bender
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Poor Quality ◽  
Cognitive Status ◽  
Hospitalized Patients ◽  
Hospital Length Of Stay ◽  
Sleep Cycle ◽  
Published Data ◽  
Extrinsic Factors ◽  
Quality Sleep

Hospitalized patients frequently have disordered and poor-quality sleep due to a variety of both intrinsic and extrinsic factors. These include frequent nighttime intrusions, insomnia related to pain and unfamiliar environments, dark conditions during the day with loss of natural light, and disruption of the natural sleep cycle due to illness. Sleep wake disturbances can result in a deleterious consequence on physical, emotional, and cognitive status, which may impact patient satisfaction, clinical recovery, and hospital length of stay. Despite this, clinicians frequently fail to document sleep disturbances and are generally unaware of the best practices to improve sleep quality in the hospital. A PubMed search was conducted using the terms: (“sleep and hospitalized patients”) and (“sleep and hospitalization”) to review the published data on the topic of sleep in hospitalized medical patients. The search was limited to English-language articles published between 2000 and 2018. Subsequent PubMed searches were performed to clarify the data described in the initial search, including the terms “hospital sleep protocols,” “hospitalized patients sleep documentation,” and “hospitalized patients sleep quality”. The purpose of this review is to discuss sleep disturbances in hospitalized patients with a focus on causes of sleep disturbance, the effect of poor-quality sleep, high risk populations, considerations for surveillance and prevention, and pharmacologic and non-pharmacologic options for treatment.

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