scholarly journals Sleep Habits and Disorders among School Students in the Jazan Region, Saudi Arabia

2021 ◽  
Author(s):  
Majed Ibrahim Hakami ◽  
Ismail Abdullah Juraybi ◽  
Abdullah Ali Jaafari ◽  
Ali Mohammed Al Ibrahim ◽  
Alhassan Mahdi Kariri ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Sleep Quality ◽  
Public Health Issue ◽  
Poor Sleep ◽  
Sleep Habits ◽  
School Students ◽  
Related Disorder ◽  
School Time ◽  
The Impact ◽  
Academic Degrees

Sleep deprivation (failure to get enough sleep) is a public health issue that can negatively impact our body including cognitive function. Many studies have been done in Saudi Arabia to evaluate the impact of poor sleep and academic performance but almost all of them were done at university level. To investigate the relationship between sleep quality and general degree of academic achievement in school students. This is a cross-sectional, school-based study, conducted at Jazan Region, Saudi Arabia. A total of 957 participants (615 male and 342 female) were recruited from a state school. The study used a standardized, confidential, validated self-administered questionnaire to assess sleep quality and habits. By using Statistical Package for Social Studies (SPSS 22), achievement of the students was significantly related to the following parameters; laziness and fatigue after wake-up time and during school time, lack of concentration during school time, difficulty in complete tasks during school time and inability to maintain wakefulness during school time. Furthermore, students with poor academic degrees reported more significant incidence of sleeping at school, excessive daytime sleepiness, and other sleep related disorder than good academic degrees. Students with poor sleep quality have lower school grades.

scholarly journals 342 The Association Between Benzodiazepine Use and Falls, and the Impact of Sleep Quality on this Association: Data from TILDA

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Louise Marron ◽  
Ricardo Segurado ◽  
Paul Claffey ◽  
Rose Anne Kenny ◽  
Triona McNicholas
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Effect Size ◽  
Community Dwelling ◽  
Public Health Issue ◽  
P Value ◽  
Poor Sleep ◽  
Daytime Somnolence ◽  
Falling Asleep ◽  
The Impact

Abstract Background Benzodiazepines (BZD) are associated with adverse effects, particularly in older adults. Previous research has shown an association between BZDs and falls and BZDs have been shown to impact sleep quality. The aim of this study is to assess the association between BZD use and falls, and the impact of sleep quality on this association, in community dwelling adults aged over 50. Methods Data from the first wave of The Irish Longitudinal Study on Ageing were used. Participants were classed as BZD users or non-users and asked if they had fallen in the last year, and whether any of these falls were unexplained. Sleep quality was assessed via self-reported trouble falling asleep, daytime somnolence, and early-rising. Logistic regression assessed for an association between BZD use and falls, and the impact of sleep quality on this association was assessed by categorising based on BZD use and each sleep quality variable. Results Of 8,175 individuals, 302 (3.69%) reported taking BZDs. BZD use was associated with falls, controlling for con-founders (OR 1.40; 1.08, 1.82; p-value 0.012). There was no significant association between BZDs and unexplained falls, controlling for con-founders (OR 1.41; 95% CI 0.95, 2.10; p-value 0.09), however a similar effect size to all falls was evident. Participants who take BZDs and report daytime somnolence (OR 1.93; 95% CI 1.12, 3.31; p-value 0.017), early-rising (OR 1.93; 95% CI 1.20, 3.11; p-value 0.007) or trouble falling asleep (OR 1.83; 95% CI 1.12, 2.97; p-value 0.015), have an increased odds of unexplained falls. Conclusion BZD use is associated with falls, with larger effect size in BZD users reporting poor sleep quality in community dwelling older adults. Appropriate prescription of and regular review of medications such as BZDs is an important public health issue.

scholarly journals The association between benzodiazepine use and falls, and the impact of sleep quality on this association: data from the TILDA study

QJM ◽  
2019 ◽  
Vol 113 (1) ◽  
pp. 31-36
Author(s):  
L Marron ◽  
R Segurado ◽  
R A Kenny ◽  
T McNicholas
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Community Dwelling ◽  
Public Health Issue ◽  
P Value ◽  
Poor Sleep ◽  
Daytime Somnolence ◽  
Cross Sectional ◽  
Falling Asleep ◽  
The Impact

Summary Background Benzodiazepines (BZD) are associated with adverse effects, particularly in older adults. Aim This study assesses the association between BZD use and falls, and the impact of sleep quality on this association, in community dwelling adults aged over 50. Design Cross-sectional analysis of data from wave 1 of The Irish Longitudinal Study on Ageing. Methods Participants were classed as BZD users or non-users and asked if they had fallen in the last year, and whether any falls were unexplained. Sleep quality was assessed via self-reported trouble falling asleep, daytime somnolence and early-rising. Logistic regression assessed for an association between BZD use and falls, and the impact of sleep quality on this association was assessed by categorizing based on BZD use and sleep quality variables. Results Of 8175 individuals, 302 (3.69%) reported taking BZDs. BZD use was associated with falls, controlling for confounders [Odds Ratio (OR) 1.40; 1.08, 1.82; P-value 0.012]. There was no significant association between BZDs and unexplained falls, controlling for confounders [OR 1.41; 95% Confidence Interval (CI) 0.95, 2.10; P-value 0.09]. Participants who use BZDs and report daytime somnolence (OR 1.93; 95% CI 1.12, 3.31; P-value 0.017), early-rising (OR 1.93; 95% CI 1.20, 3.11; P-value 0.007) or trouble falling asleep (OR 1.83; 95% CI 1.12, 2.97; P-value 0.015), have an increased odds of unexplained falls. Conclusion BZD use is associated with falls, with larger effect size in those reporting poor sleep quality in community dwelling older adults. Appropriate prescription of medications such as BZDs is an important public health issue.

scholarly journals 0926 Examining Sleep In Parents And Children With Behavioral Or Clinical Sleep Disturbances

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A352-A352
Author(s):  
P Varma ◽  
M L Jackson ◽  
M Junge ◽  
R Conduit
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Clinical Group ◽  
Sleep Habits ◽  
Parents And Children ◽  
Sleep Arousal ◽  
The Impact

Abstract Introduction Sleep problems, such as insomnia are frequently reported in children. These sleep disturbances have either a behavioral (e.g. difficulties initiating or maintaining sleep) or clinical etiology (e.g. autism, asthma and T1 diabetes). Unlike clinical populations, outcomes in parents of children with behavioral sleep problems are underexamined. This study aimed to examine sleep in parents and children with behavioral or clinical sleep disturbances. Methods 290 parents (parents Mage = 35.9±5.2y, children Mage = 4.1± 2.3y) were recruited. Child’s sleep was reported using Child’s sleep habits questionnaire (CSHQ). Parent sleep was assessed using Pittsburgh sleep quality index (PSQI), Pre-sleep arousal scale (PSAS), and Glasgow sleep effort scale (GSES). A demographic question on the nature of child’s sleep disturbance was used to categorize parents into a) behavioral (n=206) or b) clinical group (n=84). Results Overall, 71% of parents and 67% of children had clinically significant sleep disturbance (PSQI ≥ 5 and CSHQ ≥ 41 respectively). Significant associations were observed between CSHQ and a) PSQI (r=0.47, p<.001), b) GSES (r=0.21, p<.001), and c) PSAS (r=0.46, p<.001). Step-wise regression reported that CSHQ was the strongest predictor of PSQI, accounting for 22% variance in scores (p<.001), followed by PSAS (7%). Independent groups t-tests found no differences in parents’ sleep quality (p=.06) and pre-sleep arousal (p=.38) between clinical and behavioral groups. However, 47% of parents in the clinical group took longer than 30 minutes to fall asleep, as opposed to 30% of parents in behavioral group (t(289)=-2.39, p=.01). Conclusion Parents report having poor sleep irrespective of the nature of child’s sleep difficulties. It is possible that parents in the clinical group may underreport their sleep problems due to increased attention towards child’s symptoms and diagnosis. Nevertheless, if any sleep related issues occur in children, the impact on parental sleep should be considered during assessment. Support N/A

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

scholarly journals Left superior temporal sulcus morphometry mediates the impact of anxiety and depressive symptoms on sleep quality in healthy adults

2021 ◽  
Author(s):  
Yanlin Wang ◽  
Ping Jiang ◽  
Shi Tang ◽  
Lu Lu ◽  
Xuan Bu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Superior Temporal Sulcus ◽  
Healthy Adults ◽  
Poor Sleep ◽  
Emotional Symptoms ◽  
Neural Basis ◽  
Poor Sleep Quality ◽  
The Impact

Abstract Anxiety and depressive symptoms may predispose individuals to sleep disturbance. Understanding how these emotional symptoms affect sleep quality, especially the underlying neural basis, could support the development of effective treatment. The aims of the present study were therefore to investigate potential changes in brain morphometry associated with poor sleep quality and whether this structure played a mediating role between the emotional symptoms and sleep quality. One hundred and forty-one healthy adults (69 women, mean age = 26.06 years, SD = 6.36 years) were recruited. A structural magnetic resonance imaging investigation was performed, and self-reported measures of anxiety, depressive symptoms and sleep quality were obtained for each participant. Whole-brain regression analysis revealed that worse sleep quality was associated with thinner cortex in left superior temporal sulcus (STS). Furthermore, the thickness of left STS mediated the association between the emotional symptoms and sleep quality. A subsequent commonality analysis showed that physiological component of the depressive symptoms had the greatest influence on sleep quality. In conclusion, thinner cortex in left STS may represent a neural substrate for the association between anxiety and depressive symptoms and poor sleep quality and may thus serve as a potential target for neuromodulatory treatment of sleep problems.

scholarly journals 1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A435-A435
Author(s):  
T J Braley ◽  
A L Kratz ◽  
D Whibley ◽  
C Goldstein
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Extreme Values ◽  
Sleep Onset ◽  
External Support ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Historical Cohort ◽  
The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (&gt;10 and &gt;1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep &lt;=426.25 minutes (18%), long sleep &gt;515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of &gt;10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

Low Back Pain and Its Correlations with Poor Sleep Quality Among Healthcare Providers

2021 ◽  
pp. 31
Author(s):  
Rayan Buhalim
Keyword(s):  
Saudi Arabia ◽  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Healthcare Providers ◽  
Reciprocal Relationship ◽  
Musculoskeletal Symptom ◽  
Poor Sleep ◽  
Low Back ◽  
Poor Sleep Quality

Introduction: Low back pain is found to be the most common occupational and work-related musculoskeletal symptom worldwide. Its prevalence was found to be almost twice among healthcare providers (HCPs) than in other occupations. It is observed that the prevalence of poor sleep quality is higher in HCPs than the general population. To the best of our knowledge, this reciprocal relationship is still unresolved. Thus, this study aims to establish the relationship between low back pain and sleep quality among HCPs in Saudi Arabia. Methodology: An anonymous cross-sectional questionnaire-based study was performed on HCPs in Saudi Arabia. The questionnaire consisted of three sections. The first section included the biographical data of the participants; the second included Oswestry Disability Index (ODI) and Nordic musculoskeletal questionnaire for low back pain; and the third section was the Pittsburgh Sleep Quality Index (PSQI). Informed consent from each participant and ethical approval were taken before the commencement of the study. Result: Four hundred and forty-two respondents participated and completed the questionnaire. Nearly two-thirds of the respondents were male (62.7%) while the rest were female (37.3%). Most of the respondents were living in either the central (23.3%) or the northern (23.3%) regions. It was found that the correlation between global PSQI and ODI score was positively highly statistically significant (r = 0.235; p < 0.001). The correlation between ODI score and PSQI components including subjective sleep quality (r = 0.229; p = 0.007), habitual sleep efficiency (r = 0.229; p < 0.01), and daytime dysfunction were also positively highly statistically significant. Conclusion: HCPs in Saudi Arabia with higher low back pain disability rating demonstrated poorer overall sleep quality and vice versa. However, further research is needed to investigate whether this relationship is dependent on each other in terms of causality.

scholarly journals 0785 Associations Between Circadian Preference And Sleep-related Thoughts: Data From The 2015 Sleep In America Poll

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A298-A299
Author(s):  
B Jeon ◽  
F S Luyster ◽  
E R Chasens
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Secondary Analysis ◽  
Logistic Models ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Circadian Preference ◽  
Physical Consequences ◽  
The Impact

Abstract Introduction Evening types of sleep tend to have poorer sleep quality and sleep habits than morning types. Maladaptive beliefs or thoughts about sleep can affect one’s sleep and may differ between evening and morning types. We examined the association between the circadian preference and sleep-related thoughts in U.S adults. Methods A secondary analysis used survey data from the 2015 National Sleep Foundation’s Sleep in America Poll. Questions included normal bedtime and wake-up time for week/work days and weekend/non-work days. Circadian preference was determined by midpoint of sleep calculated as midpoint of sleep on weekends corrected for average nightly sleep duration. Participants were excluded if their sleep midpoint was from noon to midnight. Midpoint of sleep was divided into two groups using median split (“earlier” vs. “later”). Sleep-related thoughts were “worry about getting a good sleep”, “overwhelming thoughts about getting enough sleep”, “motivation to get sleep”, and “concern about serious physical consequences due to poor sleep”; responded often/always or extremely to somewhat for these items were coded as maladaptive. Logistic regression analysis controlling for socio-demographics, sleep duration, and sleep disturbance (PROMIS Scale; higher scores = greater sleep disturbance) was conducted to examine the relationships between midpoint of sleep and sleep-related thoughts. Results The sample (N = 1011) was primarily White (73.6%), male (50.9%), college educated (62.2%), married/partnered (67.6%) with a mean age of 51.65 ± 17.05 years. Mean midpoint of sleep in “earlier” type was 2:33AM and 5:29AM in “later” type. “Later” type had shorter sleep duration on weekdays and longer sleep duration on weekends than “earlier” type (p &lt; .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p &lt; .05) about sleep. In logistic models, midpoint of sleep was significant only for “concern” (p = .02). Conclusion In this study, late chronotype was associated with increased sleep disturbances and greater variability in sleep duration. The relationship between the timing of sleep and thoughts about the impact of impaired sleep remains unclear and an area for further study with objective measures. Support  

The Effect of Shift Fluctuations on Sleep Quality among Nurses Working in the Emergency Room in Amman, Jordan

2020 ◽  
Vol 10 (1) ◽  
pp. 11-17
Author(s):  
Khaled Suleiman ◽  
Tarek Al-Khaleeb ◽  
Mahmoud Al-Kaladeh ◽  
Loai Abu Sharour
Keyword(s):  
Sleep Quality ◽  
Emergency Room ◽  
Work Performance ◽  
Poor Sleep ◽  
Emergency Rooms ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Public And Private ◽  
Work Related ◽  
The Impact

Introduction: Sleep Quality disturbances are common among nurses especially those working in stressful situations such as emergency room. Additionally, sleep quality disturbances were found to interfere with nurses’ quality of life and work performance. No studies have found the effect of fluctuated shifts on sleep quality among nurses. Objectives: To examine the impact of shift fluctuations on sleep quality among nurses working in the emergency room. Methods: A cross-sectional, descriptive design was employed. Five emergency rooms were selected from public and private hospitals located in Amman, Jordan. The selected hospitals were also referral sites with capacity of more than 200 beds. A convenient sample of nurses who had a minimum of six months experience in the emergency room and working on rotating shifts were eligible for participation. Nurses with known chronic respiratory problems and sleep apnea were excluded. A self-administered questionnaire including a demographic and work-related questions, and the Arabic version of the Pittsburgh Sleep Quality Index were provided. Shift fluctuations were clustered based on interchanging between morning, evening and night shifts. Results: A total of 179 emergency nurses working in rotating shifts participated in the study. The majority of the nurses were poor sleepers. The study found no significant differences between different shifts interchange and sleep quality. However, interchange between morning and evening shift reported the highest sleep disturbance. Sleep quality was positively correlated with the length of experience, while negatively correlated with the age and the number of monthly shifts. Nurses who declared higher satisfaction and ability to work under pressure revealed better sleep quality. Conclusion: Emergency room nurses showed poor sleep quality. While there was no specific shift interchange cluster inducing poor sleep quality, some demographical and work-related characteristics indicated their influence on sleep quality.

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