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

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.

Author(s):  
Jessica Murphy ◽  
Christopher Gladney ◽  
Philip Sullivan

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.


2020 ◽  
Vol 45 (5) ◽  
pp. 550-560
Author(s):  
Hyun Kim ◽  
Eric S Zhou ◽  
Lydia Chevalier ◽  
Phyllis Lun ◽  
Ryan D Davidson ◽  
...  

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.


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

Author(s):  
Rehanna Mansor ◽  
Nur Hidayati Nasrudin ◽  
Anis Adila Fahmy Mohd Akmal ◽  
Azmiera Azwa Azizul ◽  
Nur Syahira Khairina Khairuddin

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.


2014 ◽  
Vol 26 (3) ◽  
pp. 411-416 ◽  
Author(s):  
Sebastian G. Kaplan ◽  
Shahzad K. Ali ◽  
Brittany Simpson ◽  
Victoria Britt ◽  
W. Vaughn McCall

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Janna Mantua ◽  
Steven M. Helms ◽  
Kris B. Weymann ◽  
Vincent F. Capaldi ◽  
Miranda M. Lim

Posttraumatic stress disorder (PTSD) is a debilitating and common consequence of military service. PTSD is associated with increased incidence of mood disturbances (e.g., anxiety). Additionally, veterans with PTSD often have poor-quality sleep and poor emotion regulation ability. We sought to assess whether such sleep and emotion regulation deficits contribute to mood disturbances. In 144 veterans, using a double moderation model, we tested the relationship between PTSD and anxiety and examined whether sleep quality and emotion regulation interact to moderate this relationship. We found that PTSD predicts higher anxiety in veterans with poor and average sleep quality who utilize maladaptive emotion regulation strategies. However, there was no relationship between PTSD and anxiety in individuals with good sleep quality, regardless of emotion regulation. Similarly, there was no relationship between PTSD and anxiety in individuals with better emotion regulation, regardless of sleep quality. Results were unchanged when controlling for history of traumatic brain injury (TBI), despite the fact that those with both PTSD and TBI had the poorest emotion regulation overall. Taken together, these results suggest that good-quality sleep may be protective against poor emotion regulation in veterans with PTSD. Sleep may therefore be a target for therapeutic intervention in veterans with PTSD and heightened anxiety.


Author(s):  
Siddalingaiah H. S. ◽  
Aditi Chaudhuri ◽  
Chandrakala D. ◽  
Amarjeet Singh

Background: Residency is a stressful period in the career of a medical professional. Excessive daytime sleepiness (EDS) is a major problem among resident doctors due to long work hours, stress, sleep deprivation, shift work, lack of sleep hygiene and other lifestyle related factors. The sleep problems and related factors need to be studied among resident doctors to know if any cumulative effect exists. Methods: A cross sectional study design with pre-validated sleep assessment proforma, Epworth sleepiness scale (ESS), and sleep hygiene index (SHI) as study tools which were self-administered among a total of 428 enrolled eligible resident doctors. Results: A total of 350 resident doctors returned the filled proforma, ESS and SHI (response rate 81.7%). Prevalence of EDS was found to be highest in 2nd (51.1%), 3rd (55.2%) and 5th (47.1%) semesters. Socio-demographic factors did not vary much across semesters except for slight increase in quantity of coffee/tea intake. No major changes in shift pattern, total sleep hours were found across semesters but work hours differed significantly. Sleep latency was least in 3rd semester where EDS was highest. Similarly, sleep quality, sleep hygiene and weekly sleep hours were least in 2nd and 3rd semester where EDS prevalence was high. In addition, as per visual analogue scale ratings by resident doctors, those in 2nd and 3rd semesters were maximally tired and maximally sleepy which is consistent with the finding of high prevalence of EDS in these semesters as recorded by ESS. Conclusions: Sleep quality, sleep quantity, sleep hygiene and weekly work hours emerged as important and sensitive predictors of EDS across study semesters. These components must be present in any intervention package to address EDS especially in the first three semesters of residency program and other similar occupational settings. 


2017 ◽  
Vol 5 (20) ◽  
pp. 4 ◽  
Author(s):  
Chok Limsuwat ◽  
Pantaree Aswanetmanee ◽  
Mustafa Awili ◽  
Ahmed Raziuddin ◽  
Supat Thammasitboon

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.


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