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 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.

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.

Sleep quality and its correlation to general health status in health care students

2011 ◽  
Vol 26 (S2) ◽  
pp. 1565-1565 ◽  
Author(s):  
A. Sahraian ◽  
A. Javadpour ◽  
A. Mani
Keyword(s):  
Health Care ◽  
Health Status ◽  
Sleep Quality ◽  
General Health ◽  
Sleep Disruption ◽  
Poor Sleep ◽  
General Health Status ◽  
Health Care Students ◽  
Quality Sleep ◽  
Health Related

IntroductionSleep-wake cycle is one of human biological rhythm highly correlated to well being and general health status.Poor sleep quality, sleep disruption and changes in regular Sleep-wake pattern may cause physical and psychological burden such as impairment in job performance, decreased work efficiency and learning disability.ObjectiveHealth care students trained in medical, nursing and midwifery fields is a population who are at great risk to develop sleep disruption and its subsequent physical and mental morbidity.AimThe aim of this study was to describe how sleep quality correlated to general health status among 280 health care students.Methods280 health care students studying in health related fields participated in this cross section study. Pittsburg sleep quality index (PSQI), sleep- wake questionnaire and the general health questionnaire (GHQ) administered to gather data describing sleep quality, sleep wake disruption and the general health status.ResultsPreliminary results showed that 61.4% of subjects defined as poor sleeper. In further co relational analysis there was a significant correlation between sleep quality and general health status (r = .6, p = . 000, n = 280). Regression analysis showed that number of nights with sleep disruption due to shift work or academic needs was a strong predictor for both poor sleep quality and general health status.ConclusionIn conclusion, Sleep disruption due to shift work or other academic demands is a predictor for poor sleep and its subsequent mental health morbidity, which should be considered as a part of mental health policy for health related college students.

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.

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

Sleep Disturbance in Psoriatic Disease: Prevalence and Associated Factors

2017 ◽  
Vol 44 (9) ◽  
pp. 1369-1374 ◽  
Author(s):  
Ian T.Y. Wong ◽  
Vinod Chandran ◽  
Suzanne Li ◽  
Dafna D. Gladman
Keyword(s):  
Psoriatic Arthritis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Short Form ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psoriatic Disease ◽  
Patient Reported

Objective.We aimed to determine the prevalence and quality of sleep in patients with psoriatic arthritis (PsA) and those with psoriasis without PsA (PsC) followed in the same center, to identify factors associated with sleep disturbance, and to compare findings to those of healthy controls (HC).Methods.The study included 113 PsA [ClASsification for Psoriatic ARthritis (CASPAR) criteria] and 62 PsC (PsA excluded by a rheumatologist) patients and 52 HC. Clinical variables were collected using a standard protocol. The sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Other patient-reported outcomes collected included the Health Assessment Questionnaire (HAQ), Dermatology Life Quality Index, EQ-5D, Medical Outcomes Study Short Form-36 survey, patient’s global assessment, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-fatigue) scale. Statistical analyses included descriptive statistics, Wilcoxon rank-sum test, and linear regression.Results.The prevalence of poor sleep quality was 84%, 69%, and 50% in PsA, PsC, and HC, respectively. Total PSQI score was higher in both patients with PsA and patients with PsC compared with HC (p < 0.01) and higher in patients with PsA compared to patients with PsC (p < 0.0001). EQ-5D anxiety component, EQ-5D final, and FACIT-fatigue were independently associated with worse PSQI in patients with PsC and those with PsA (p < 0.05). Actively inflamed (tender or swollen) joints are independently associated with worse PSQI in patients with PsA (p < 0.01).Conclusion.Patients with psoriatic disease have poor sleep quality. Poor sleep is associated with fatigue, anxiety, and lower EQ-5D. In patients with PsA, poor sleep is associated with active joint inflammation.

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

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

<p class="AbstractContent"><strong>Objective:</strong> 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.</p><p class="AbstractContent"><strong>Methods: </strong>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).</p><p class="AbstractContent"><strong>Results:</strong> 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.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality

Sleep Epidemiology

2019 ◽  
pp. 11-46
Author(s):  
Susan Redline ◽  
Brian Redline ◽  
Peter James
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Sleep Health ◽  
Sugar Sweetened Beverage ◽  
Social Jetlag ◽  
Obstructive Sleep ◽  
Quality Sleep ◽  
Different Dimensions

This chapter is a primer on sleep epidemiology—the methods of assessment on how sleep is measured (e.g., self-report [such as the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale] vs. with use of objective tools such as actigraphy); validity of sleep measurements; the different dimensions of sleep health and disorders that are of interest (e.g., sleep duration, sleep quality, sleep fragmentation, insomnia, obstructive sleep apnea, social jetlag, snoring, narcolepsy, etc.); general sleep biology and physiology; and why sleep matters (i.e., the epidemiologic consequences of poor sleep health, e.g., connection to other health behaviors and health outcomes such as drug use; sexual risk behaviors; depression; dietary behaviors such as sugar-sweetened beverage consumption; cardiometabolic diseases like obesity, diabetes, and hypertension; and cancer outcomes such as breast cancer).

scholarly journals Analysis of NHANES 2005–2016 Data Showed Significant Association Between Micro and Macronutrient Intake and Various Sleep Variables (P06-103-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Chioma Ikonte ◽  
Carroll Reider ◽  
Victor Fulgoni ◽  
Susan Mitmesser
Keyword(s):  
Sleep Quality ◽  
Sleep Disorder ◽  
Dietary Fiber ◽  
Sleep Latency ◽  
Poor Sleep ◽  
Inverse Association ◽  
Macronutrient Intake ◽  
Poor Sleep Quality ◽  
Short Sleep ◽  
Quality Sleep

Abstract Objectives To understand the association between micro and macronutrient intake and sleep variables from the National Health and Nutrition Evaluation Survey (NHANES, 2005–2016). Methods Data analysis was performed using SAS 9.4; regression analysis was used to assess the relationship (p < 0.05) of nutrient intake with sleep variables. All nutrients were individual usual intakes determined using the National Cancer Institute method from food plus supplements; covariates included age, gender, ethnicity, poverty income ration, current smoking status and physical activity level. Individuals 16+ years of age were included in the analysis; pregnant or lactating females and those with unreliable dietary recalls were excluded in the analysis. Seven (7) Sleep variables included in the analysis were short sleep hours (<7 hrs of sleep) and trouble sleeping (NHANES 2005–2016), sleep disorder (NHANES, 2005–2014) and poor sleep quality, insomnia, sleep latency, and use of sleeping pills >5 times in the last month (NHANES 2005–2008). Results In adults (males and females) 19+ years, 32.7% experienced short sleep; 47.3% poor sleep quality; 8.94% a sleep disorder; 37.9% sleep latency; 9.30% used sleeping pills; 15.1% exhibited insomnia; and 27.7% experienced sleep trouble. Within this population, short sleep was significantly (p < 0.05) associated with the greatest number of nutrients; showing an inverse association with magnesium, niacin, vitamin D, calcium, and dietary fiber intake. Across all seven sleep variables, however, magnesium, niacin and vitamin D demonstrated significant (p < 0.05) inverse association within this population. Inverse associations were also found for dietary fiber intake and short sleep and sleep disorder; phosphorus intake and poor sleep quality, sleep latency and sleep pill use; and vitamin K intake and poor sleep quality, sleep disorder, sleep latency and sleep pill use in the gender combined adults 19+ years. Within this population however, there were direct associations for the intakes of protein and vitamin B6 and short sleep, sleep disorder and sleep trouble; for the intakes of sodium and vitamin A and poor sleep quality, sleep latency and sleep pill use; for the intake of vitamin B12 and poor ADL and insomnia; and for the intake of zinc and sleep quality, sleep latency, sleep pill use, poor ADL and insomnia. Among female adults 19+ years, dietary fiber was the only nutrient that showed an inverse association with all seven sleep variables. Conclusions These findings demonstrate the importance of micro and macronutrient intake on numerous sleep variables. Funding Sources This analysis was funded by Pharmavite, LLC.

Multimodality assessment of sleep outcomes in people living with HIV performed using validated sleep questionnaires

2020 ◽  
Vol 31 (10) ◽  
pp. 996-1003 ◽  
Author(s):  
Ana Milinkovic ◽  
Suveer Singh ◽  
Bryony Simmons ◽  
Anton Pozniak ◽  
Marta Boffito ◽  
...  
Keyword(s):  
Drug Use ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Comprehensive Evaluation ◽  
Poor Sleep ◽  
People Living With Hiv ◽  
Recreational Drug ◽  
Cd4 Cell Count ◽  
Recreational Drug Use ◽  
Living With Hiv

Studies conducted in people living with HIV (PLHIV) report high rates of sleep disturbance, without a clear explanation as to cause or effect. Therefore, we proposed use of multiple validated questionnaires that would allow a more comprehensive evaluation of sleep quality in PLHIV. We administered eight validated sleep and wellbeing questionnaires, recording different aspects of sleep in order to provide a comprehensive description of sleep quality, quantity, daytime functioning, wakefulness, and general wellbeing. Associations with demographics and clinical data were analyzed by univariable/multivariable analyses. Of 254 subjects 99% were male (98% men who have sex with men), 88% white, mean age 41 (SD ± 9.9) years, HIV duration eight years (SD ± 6.3), 94% were on antiretroviral therapy, mean CD4 cell count was 724 cells/mm3, 81% had HIV RNA<40 copies/ml, 72% were university educated, and 60% used ‘chemsex’ drugs. Almost half (45%) reported poor sleep quality, 22% insomnia, 21% daytime sleepiness, and 33% fatigue. As individual factors, HIV duration ≥10 years, anxiety, depression, and recreational drug use were associated with poor quality sleep, fatigue, and poorer functional outcomes (p ≤ 0.05). The prevalence of sleep disturbance was high in our cohort of PLHIV. Sleep disturbance was associated with longer duration of HIV infection, depression, anxiety, and recreational drug use.

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