1221: IMPACT OF A SLEEP HYGIENE BUNDLE ON SLEEP QUALITY IN THE ICU

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

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Dysfunctional Beliefs, Sleep Hygiene and Sleep Quality in University Students

Health Promotion Journal of Australia ◽

10.1002/hpja.471 ◽

2021 ◽

Author(s):

R Humphries ◽

D Bath ◽

NW Burton

Keyword(s):

University Students ◽

Sleep Quality ◽

Sleep Hygiene ◽

Dysfunctional Beliefs

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

Journal of Clinical Sport Psychology ◽

10.1123/jcsp.2020-0037 ◽

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.

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Effect of a Sleep Hygiene Education Program Using Telephone Follow-up Method on the Sleep Quality of the Elderly

Salmand ◽

10.32598/sija.15.4.2895.1 ◽

2021 ◽

Vol 15 (4) ◽

pp. 484-495

Author(s):

Maryam Moradi ◽

◽

Hamideh Mohammadzadeh ◽

Reza Noori ◽

Kokab Basiri Moghadam ◽

...

Keyword(s):

Sleep Quality ◽

Education Program ◽

Intervention Group ◽

The Elderly ◽

Sleep Hygiene ◽

Control Group ◽

Hygiene Education ◽

And Control

Objectives: Low quality sleep is one of the most common problems in old age. The present study aims to determine the effect of a sleep hygiene education program using Telephone Follow-Up (TFU) method on the sleep quality of the elderly. Methods & Materials: This quasi-experimental study was conducted on 80 eligible elderly people aged 60-74 years who were selected using a systematic random sampling method and were randomly assigned into intervention and control groups. The intervention group received a one-hour face-to-face education session on sleep hygiene. The TFU were carried out two times per week in the first month and once a week in the second month after intervention. The control group received routine care. The data collection tools were a demographic form and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The PSQI was completed for both groups immediately after the second month. Results: There was no statistically significant difference in the mean PSQI score before intervention in the intervention (8.02) and control (7.47) groups (P=0.32), but after the intervention, the mean PSQI score in the intervention group (5.42) was significantly reduced compared to the control group (7.67) (P<0.001). Conclusion: Sleep hygiene education program based on TFU improves the sleep quality of the elderly. It is recommended that health care providers use this method to improve the sleep quality of the elderly.

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Effectiveness of zolpidem and sleep hygiene counseling in the treatment of insomnia in solid tumor patients

Journal of Oncology Pharmacy Practice ◽

10.1177/1078155218801062 ◽

2018 ◽

Vol 25 (7) ◽

pp. 1608-1612

Author(s):

Amrita Asok ◽

Sreelakshmi Sreekumar ◽

Radhika TK ◽

Anagha CC ◽

Uma Devi P ◽

...

Keyword(s):

Sleep Quality ◽

Solid Tumor ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Sleep Latency ◽

Sleep Hygiene ◽

Early Morning ◽

Index Score ◽

Tumor Patients ◽

Falling Asleep

Objective To study the effectiveness of zolpidem and sleep hygiene counseling in managing insomnia in solid tumor patients. Methods Cancer patients with a Pittsburgh Sleep Quality Index score ≥ 5 were grouped into two. Both groups received treatment for insomnia in the form of either zolpidem 5 mg for 7 days or sleep hygiene counseling. Result At baseline, zolpidem and counseling group had a mean Pittsburgh Sleep Quality Index score of 14.82 ± 2.61 and 11.67 ± 3.32, respectively. The difference in mean Pittsburgh Sleep Quality Index score was found to be 4.03 in patients using zolpidem and 1.5 in counseled patients (p = 0.003). The components of Pittsburgh Sleep Quality Index namely difficulty falling asleep within 30 min (sleep latency), overall sleep quality, trouble staying awake during daytime and trouble staying motivated to get things done showed statistically significant improvement after treatment with zolpidem. Following sleep hygiene counseling, the proportion of patients with sleep latency > 30 min reduced considerably. Waking up to use the bathroom was the most common problem reported by approximately 94% patients in both groups before treatment which remained the most prevalent problem even after treatment. Night or early morning awakenings seemed to decrease significantly in patients taking zolpidem (p = 0.039) while it did not show any improvement with counseling. Counseling seemed to get patients to sleep within 30 min. Conclusion Patients on zolpidem showed a reduction in their Pittsburgh Sleep Quality Index scores thereby suggesting it as a treatment for insomnia in solid tumor patients. Sleep hygiene counseling, though not as effective as zolpidem, made a slight difference in the overall sleep.

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Temperament, sleep quality, and insomnia severity in university students: Examining the mediating and moderating role of sleep hygiene

PLoS ONE ◽

10.1371/journal.pone.0251557 ◽

2021 ◽

Vol 16 (7) ◽

pp. e0251557

Author(s):

Angela F. Lukowski ◽

Dmitry Tsukerman

Keyword(s):

Negative Affect ◽

University Students ◽

Sleep Quality ◽

Effortful Control ◽

Sleep Problems ◽

Severity Index ◽

Sleep Hygiene ◽

Individual Difference Variables ◽

Hygiene Behavior ◽

Insomnia Severity

University students commonly experience sleep problems which have implications for daily functioning and academic achievement. For this reason, research is needed to identify modifiable individual difference variables that may contribute to better sleep in this population. Temperament and sleep hygiene may be two such factors. As part of a larger study, 167 university students (61.7% female) completed online questionnaires that inquired about temperament (the Adult Temperament Questionnaire; ATQ), sleep hygiene behavior (the Sleep Hygiene Index; SHI), global sleep quality (the Pittsburgh Sleep Quality Index; PSQI), and insomnia severity (the Insomnia Severity Index; ISI). Correlations amongst the included measures were in the predicted direction: effortful control was negatively associated with the SHI composite, PSQI global scores, and ISI scores; extraversion was negatively related to PSQI global scores; and negative affect was positively associated with the SHI composite and ISI scores. In addition, the SHI composite mediated the association between effortful control and the PSQI global scores as well as the association between negative affect and PSQI global scores; similar patterns of mediation were found when considering ISI scores, although the direct effects differed. That is, negative affect was directly associated with ISI scores but not PSQI global scores. These findings suggest that interventions designed enhance effortful control, reduce negative affect, and improve sleep hygiene may contribute to better global sleep quality and decrease insomnia in university students.

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The relationship between sleep hygiene and sleep quality among residents of an elderly care institution in DKI Jakarta

UI Proceedings on Health and Medicine ◽

10.7454/uiphm.v4i1.258 ◽

2020 ◽

Vol 4 (1) ◽

Author(s):

Mutia Annisa ◽

Dwi Nurviyandari Kusuma Wati

Keyword(s):

Sleep Quality ◽

Sleep Problems ◽

Elderly Care ◽

Sleep Hygiene ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Cross Sectional Design ◽

The Relationship ◽

Purposive Sample

Objective: Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.Methods: This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).Results: Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.Conclusion: Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.Keywords: elderly, institution, sleep hygiene, sleep quality

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

SLEEP ◽

10.1093/sleep/zsab072.579 ◽

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<.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

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