Sleep disturbance in adolescents: Sleep quality, sleep habits, beliefs about sleep, and daytime functioning

1984 ◽  
Vol 13 (5) ◽  
pp. 375-384 ◽  
Author(s):  
Kathleen Kirmil-Gray ◽  
Jean R. Eagleston ◽  
Elizabeth Gibson ◽  
Carl E. Thoresen
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Habits ◽  
Daytime Functioning ◽  
Quality Sleep

scholarly journals 0962 Sleep and Daytime Functioning in Gifted and Twice Exceptional Children

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A365-A366
Author(s):  
R Théoret ◽  
L Bastien ◽  
R Godbout
Keyword(s):  
Sleep Quality ◽  
Internalizing Problems ◽  
Intellectual Development ◽  
Child Behavior Checklist ◽  
Typically Developing ◽  
Sleep Habits ◽  
Daytime Functioning ◽  
Twice Exceptional ◽  
Social And Emotional ◽  
Children’S Sleep

Abstract Introduction Gifted (G) children display an asynchrony between intellectual development and social and emotional development. Twice exceptional (2e) children are G children with a neuropsychological disability. We compared the sleep and daytime behavior of G, 2e and typically developing (TD) children and we sought for group-specific relationships between sleep and daytime behavior. Methods 23 children were recruited: seven G (8.7 years old, SD = 1.7), six 2e (9.8 years old, SD = 1.8) and 10 TD children (10.0 years old, SD = 2.2). Giftedness was diagnosed with neuropsychological tools. The Children’s Sleep Habits Questionnaire (CSHQ) assessed sleep quality, the Child Behavior Checklist (CBCL) assessed daytime functioning. Sleep quality and its impact on daytime functioning was measured with a MANCOVA, with the CBCL’s three main factors as dependent variables (internalizing problems, IP; externalizing problems, EP and total problems, TP), children group as the independent variable and the CSHQ total score as the covariate. Results G, 2e and TD groups scored 39.86, 39.17 and 39.70 on the CSHQ, respectively (n.s.). The three groups were not different on the CBCL, with respective mean T scores of 57.86, 50.33 and 48.60 for IP, 56.43, 55.67 and 47.80 for EP and 55.29, 53.83 and 46.40 for TP. Pillai’s trace statistics disclosed a significant relationship between CSHQ and CBCL scores regardless of groups (p = 0.04) but the influence of sleep quality did not differ among the groups for any of the three factors. The CSHQ total score was positively and significantly related to IP (p = 0.03, r = 0.47); relationships were not significant for EP (p = 0.96, r = -0.01) and TP (p = 0.17, r = 0.31). Conclusion Sleep quality influences internalizing problems in children, without group-specific relationships, but this association does not seem to differ between gifted, twice exceptional and TD children. Support N/A

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 The Impact of COVID-19 on Sleep Quality in People Living With Disabilities

2021 ◽  
Vol 12 ◽  
Author(s):  
Nikki Heinze ◽  
Syeda F. Hussain ◽  
Claire L. Castle ◽  
Lauren R. Godier-McBard ◽  
Theofilos Kempapidis ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Duration ◽  
State Anxiety ◽  
People With Disabilities ◽  
Convenience Sample ◽  
Sleep Medication ◽  
Quality Sleep ◽  
The Impact

Background: Research exploring the impact of the COVID-19 pandemic on sleep in people with disabilities has been scarce. This study provides a preliminary assessment of sleep in people with disabilities, across two timepoints during the pandemic, with a focus on those with visual impairment (VI).Methods: Two online surveys were conducted between April 2020 and March 2021 to explore sleep quality using the Pittsburgh Sleep Quality Index (PSQI). A convenience sample of 602 participants completed the first survey and 160 completed the follow-up survey.Results: Across both timepoints, participants with disabilities reported significantly poorer global sleep quality and higher levels of sleep disturbance, use of sleep medication and daytime dysfunction than those with no disabilities. Participants with VI reported significantly higher levels of sleep disturbance and use of sleep medication at both timepoints, poorer global sleep quality, sleep duration and latency at time 1, and daytime dysfunction at time 2, than those with no disabilities. Global sleep quality, sleep duration, sleep efficiency, and self-rated sleep quality deteriorated significantly in participants with no disabilities, but daytime dysfunction increased in all three groups. Disability and state anxiety were significant predictors of sleep quality across both surveys.Conclusion: While sleep was consistently poorer in people with disabilities such as VI, it appears that the COVID-19 pandemic has had a greater impact on sleep in people with no disabilities. State anxiety and, to a lesser extent, disability, were significant predictors of sleep across both surveys, suggesting the need to address anxiety in interventions targeted toward improving sleep.

Relationship Between Sleep Quality, Sleep Disturbance, and Estimated Cardiovascular Risk

2020 ◽  
Vol 0 (0) ◽  
pp. 158-164
Author(s):  
Heba Elnahas ◽  
Marwa Said ◽  
Radwa Elsyed ◽  
Ghada Khafagy
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Sleep

scholarly journals PEAR model and sleep outcomes in dementia caregivers: influence of activity restriction and pleasant events on sleep disturbances

2011 ◽  
Vol 23 (9) ◽  
pp. 1462-1469 ◽  
Author(s):  
Raeanne C. Moore ◽  
Alexandrea L. Harmell ◽  
Elizabeth Chattillion ◽  
Sonia Ancoli-Israel ◽  
Igor Grant ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
High Activity ◽  
Sleep Latency ◽  
Subjective Sleep Quality ◽  
Activity Restriction ◽  
Subjective Sleep ◽  
Quality Sleep ◽  
Low Activity ◽  
Pleasant Events

ABSTRACTBackground:Sleep disturbance is a common consequence of providing care to a loved one with Alzheimer's disease (AD). We explored the usefulness of the Pleasant Events and Activity Restriction (PEAR) model for predicting multiple domains of sleep disturbance.Methods:Our sample consisted of 125 spousal AD caregivers. Participants completed the Pittsburg Sleep Quality Index (PSQI) and were questioned regarding the frequency with which they engaged in pleasant events and the extent to which they felt restricted in engaging in social and recreational activities in the past month. Participants were classified into one of three groups: HPLR = High Pleasant Events + Low Activity Restriction (= reference group; N = 38); HPHR/LPLR = either High Pleasant Events + High Activity Restriction or Low Pleasant Events + Low Activity Restriction (N = 52); and LPHR: Low Pleasant Events + High Activity Restriction (N = 35). These three groups were compared on the seven subscales of the PSQI.Results:Significant differences were found between the HPLR and LPHR groups on measures of subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and daytime dysfunction. Additionally, significant differences were found between the HPLR and HPHR/LPLR groups on subjective sleep quality, sleep latency, and habitual sleep efficiency, and between the HPHR/LPLR and LPHR groups on sleep disturbance and daytime dysfunction.Conclusions:This study provides broad support for the PEAR model and suggests that interventions focusing on behavioral activation may potentially provide benefits to non-affective domains including sleep.

scholarly journals Factors Affecting the Quality of Sleep in Children

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 122
Author(s):  
Ahmad Fadzil
Keyword(s):  
Sleep Quality ◽  
Cor Pulmonale ◽  
Sleep Habits ◽  
Medical Problems ◽  
Factors Affecting ◽  
Quality Sleep ◽  
Adequate Quality ◽  
The Central Nervous System ◽  
Waking Up

Sleep quality is one of the domains of sleep. Having adequate quality sleep is defined as one’s “feeling fresh” after waking-up. Inadequate sleep quality results in sleep insufficiency producing a variety of symptoms and signs. The central nervous system is affected the most in children, although other system too may be involved. Several factors affect sleep quality in children including genetics, sleep habits, medical problems, parents/caregiver factors, screen time and the child’s environment. These factors are inter-related and dynamic. The outcome of sleep insufficiency is many involving neurocognitive and neurobehavior, mood and emotional issues and specific conditions, like pulmonary hypertension, cor pulmonale and obesity. Management should start with proper history taking to identify the multifaceted nature of the condition. Treatment is planned cognizant of the age of the patient and the associated etiological factors, and should involve both the children and their parents.

scholarly journals Sleep quality, sleep habits, and chronotypes of medical interns at the beginning of their training

2017 ◽  
Vol 5 (20) ◽  
pp. 4 ◽  
Author(s):  
Chok Limsuwat ◽  
Pantaree Aswanetmanee ◽  
Mustafa Awili ◽  
Ahmed Raziuddin ◽  
Supat Thammasitboon
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Resident Work ◽  
Quality Sleep ◽  
Work Hour

Introduction: Despite the implementation of resident work hour regulations, studieshave not consistently shown beneficial changes in residents’ sleep quality or duration. Wehypothesized that inter-individual sleep-related differences may exist prior to training and thepre-existing sleep health and habits may impact training.Objective: To determine interns’ baseline sleep quality, sleep hygiene, chronotypes, andtheir correlates at the beginning of their residency training program.Methods: A cross-sectional study using an anonymous “Resident Sleep Survey” includedbaseline demographic information and questionnaires, including the Epworth SleepinessScale (ESS), the Pittsburgh’s Sleep Quality Index (PSQI), the Morningness-EveningnessQuestionnaire (MEQ), and the Sleep Hygiene Index (SHI).Results: One hundred and twenty-nine subjects participated the study; 45.7 % (n=59)were male and 18.6 % (n=24) were married. Twenty percent of interns had an ESS >10. ThePSQI revealed that 28% of interns had poor sleep hygiene. The mean sleep efficiency was91.2 ±7.4% estimated from the PSQI. Non-married interns had a lower prevalence of morningchronotypes (22.3% vs. 45.8%, p=0.02). Morning chronotype interns had a lower ESS score(6.1 ±3.1 vs. 7.6 ±3.6, p=0.03) and a lower SHI (29 ±7.0 vs. 34.3 ±7.1, p=0.003).Conclusion: About a quarter of interns had poor sleep quality and excessive daytimesleepiness prior to their training. Non-morning chronotype interns appeared to have moredaytime sleepiness and poorer sleep quality. Since pre-existing sleep problems may adverselyaffect learning, we suggest that strategies to improve sleep hygiene and quality in this specificpopulation should be emphasized early in their training.

scholarly journals Sleep Quality among Healthcare Providers; In Riyadh, 2019.

2019 ◽  
Vol 6 (05) ◽  
pp. 4438-4448
Author(s):  
Fahad A. Alamri ◽  
Samar A. Amer ◽  
Almaha Almubarak ◽  
Hadeel Alanazi
Keyword(s):  
Health Status ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disorder ◽  
Healthcare Providers ◽  
Capital City ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Poor Sleep Quality ◽  
High Prevalence

Introduction:   Sleep plays an essential role in health and wellbeing. One of every three Saudis has short sleep duration per night. Saudi medical students had a high prevalence of sleep disorder, 36.6% of them were have abnormal sleep habits. So, this the study aimed to assess then improve the sleep quality and overall health status  among healthcare providers (HCPs), by online surveying   HCPs in the capital city of the kingdom of Saudi Arabia in Riyadh from Jan to Feb 2019 ,through the following objectives; To assess sleep quality among HCPs, to measure the prevalence of sleep disturbance, and to study the factors and determinants that may affect sleep quality. Methodology: An analytical cross-sectional study targeting   518 of randomly selected HCPs in Riyadh after a written informed consent. Using online, self-administrated, pretested; an Arabic questionnaire composed of 33 questions divided into three main parts ;( addresses the sociodemographic and work characteristics, to assess sleep habits and quality using Pittsburgh Sleep Quality Index (PSQI), and the third part to study factors and determinants that affects the sleep quality. The suitable tests were used to analyze the coded collected data using SPSS. Results:  the majority of the HCPs were 49.7% aged less than 30 y old, 65.9% females, 53.2% married, 91.7% Saudi, 23.3% health educator specialists, 93.6% working in governmental hospitals, and median of 5 years of experience. A high prevalence of poor sleep quality 85.9% as median the sleep quality score was 10, range (3-21), its significantly affected by all the studied variables (age, specialty, sex, job position, and the health status). The main causes of sleep disturbances were work stressors ( 41.3%), social stressors 33.8%, cell phone use(31.6%), and the health status 12.7% in descending orders.44.4% of HCPS reported a diagnosed sleep disorder mainly altered sleeping times.   Conclusions: poor sleep quality is highly prevalent among HCPs in Riyadh city. the sleep efficacy, sleep medication and sleep disturbance were the most affected components.

scholarly journals Correlation Between Sleep Quality And Quality Of Life Among Hypertensive Adults In A Mountainous Area Of Hubei Province, China

2020 ◽  
Author(s):  
Li Ran ◽  
Xuyu Chen ◽  
Mengying Li ◽  
Qi Chen ◽  
Yupeng Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Correlation Analysis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Life Quality ◽  
Mountainous Area ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Quality Sleep

Abstract Background: Hypertension is one of the most common and easy paroxysm diseases. Inadequately controlled hypertension has been related to poor sleep quality, which would be associated with worsening quality of life.Methods: A descriptive analyses was conducted to describe social demographic factors, while ANOVA and t-test were carried out to compare scores between different groups. The total score of life quality (MCS and PCS) was used as the dependent variable (Y), and the dimensions of sleep quality were used as the independent variable (X) for multiple line regression analysis (Stepwise) to evaluate the correlation between sleep quality and life quality.Results: The results of group comparison showed that the total PSQI score was significant at people’s residence (P<0.01). Correlation analysis indicated that subjective sleep quality, sleep disturbance, daytime dysfunction, age, concomitant diseases, and years of diagnosed hypertension had a significant association with the PCS scores (P<0.05 for all). Subjective sleep quality, sleep disturbance, daytime dysfunction, and monthly income had a significant association with the MCS scores (P<0.05 for all). Conclusion: The correlation analysis shows that sleep quality of hypertensive patients is related to quality of life. Considering the close relation among hypertension, sleep quality, and life quality, possible interventions like sleep hygiene was appealed to relieve hypertensive symptoms, promote sleep quality, and increase life quality.Trial registration: 2018-1602000-03-02

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