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

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

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

SLEEP ◽

10.1093/sleep/zsaa056.781 ◽

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 < .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p < .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

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Sleep Quality and Sleep Disturbance Perception in Dual Disorder Patients

Journal of Clinical Medicine ◽

10.3390/jcm9062015 ◽

2020 ◽

Vol 9 (6) ◽

pp. 2015

Author(s):

Gianina Luca ◽

Lola Peris

Keyword(s):

Sleep Quality ◽

Psychiatric Diagnosis ◽

Sleep Disturbances ◽

Sleep Problems ◽

Psychiatric Evaluation ◽

Poor Sleep ◽

Sleep Habits ◽

Dual Disorders ◽

Dual Disorder ◽

Insomnia Symptoms

Background: Sleep problems are particularly frequent in psychiatric disorders, but their bidirectional intersection is poorly clarified. An especial link between substance use and sleep seems to exist. While dual disorder patients are certainly at higher risk of experiencing sleep problems, very limited research is available today. Methods: Forty-seven dual disorder hospitalized patients were included in this first study. A complete psychiatric evaluation was performed, and sleep habits, patterns and potential disorders were evaluated with specific sleep scales, as well as anxiety. Results: The global prevalence of insomnia symptoms was considerably higher compared with the general population. Different abuse patterns as a function of concurrent psychiatric diagnosis were found, with no significant gender differences. The association between the investigated sleep parameters and any specific substance of abuse was minor. The addict behavior started in more than half of the patients prior to the main psychiatric diagnosis and close to the beginning of sleep problems. Men had a higher prevalence of insomnia symptoms, together with a higher incidence of anxiety. Overall, subjective daytime functioning was not altered as a consequence of poor sleep. Conclusion: Dual disorder patients face significant sleep disturbances, with low sleep quality. The role of sleep in addiction and dual disorders deserves greater research.

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

Social Cognitive and Affective Neuroscience ◽

10.1093/scan/nsab012 ◽

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.

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Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17249363 ◽

2020 ◽

Vol 17 (24) ◽

pp. 9363

Author(s):

Serena Malloggi ◽

Francesca Conte ◽

Giorgio Gronchi ◽

Gianluca Ficca ◽

Fiorenza Giganti

Keyword(s):

Sleep Quality ◽

Depressed Mood ◽

Behavioral Problems ◽

Sleep Disturbances ◽

Sleep Problems ◽

Sleep Latency ◽

Sleep Habits ◽

Subjective Sleep Quality ◽

Quality Perception ◽

Subjective Sleep

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.

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A-130 An Exploratory Analysis of the Impact PTSD Related Sleep Disturbance has on Language Generativity in Veterans with mTBI

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acaa068.130 ◽

2020 ◽

Vol 35 (6) ◽

pp. 923-923

Author(s):

Walker N ◽

Scott T ◽

Spellman J ◽

Rivera J ◽

Waltzman D ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Disturbance ◽

Verbal Fluency ◽

Sleep Disturbances ◽

Self Report ◽

Analysis Of Covariance ◽

Ptsd Symptoms ◽

History Of ◽

The Impact ◽

The Relationship

Abstract Objective Reviewed literature suggests that individuals with Posttraumatic Stress Disorder (PTSD) demonstrate cognitive deficits in attention, learning/memory, and executive functions. Less is known regarding the relationship between sleep disturbance and language abilities among individuals with PTSD. We hypothesized that subjective perceptions of PTSD-related sleep disturbance would impact language generativity in Veterans with PTSD. Methods 38 individuals (mean age = 46.58, SD = 13.55; 10% female) were administered a brief neurocognitive battery including measures of verbal generativity [i.e., Delis-Kaplan Executive Function System: Verbal fluency subtest], PTSD symptoms (i.e., clinically significant PTSD = > 35 on the PTSD Checklist for DSM-IV), self-report measures of sleep quality (Pittsburgh Sleep Quality Inventory; PSQI), and PTSD-related sleep disturbances (PSQI – Addendum for PTSD). All participants had a history of mild traumatic brain injury (mTBI). An analysis of covariance was used to assess the contribution of PTSD-related sleep disturbance on verbal fluency in Veterans with PTSD. Post-hoc analyses were conducted. Results Those without PTSD performed better on letter fluency than those with PTSD (p=.019). There was no significant effect of PTSD (presence or absence) on letter fluency performance after controlling for subjective sleep quality, F(1, 35) = 1.43, p = .239. Follow up analyses failed to show any associations between PTSD and other cognitive measures. Conclusions PTSD related sleep disturbance accounts for a significant portion of the variance in the relationship between PTSD and verbal generativity. Individuals with a history of mTBI and current PTSD symptoms, may have worse verbal generativity but is partially accounted for by PTSD related sleep disturbance.

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Protective effect of paramedics’ sense of personal accomplishment at work: Mitigating the impact of stress on sleep

Australasian Journal of Paramedicine ◽

10.33151/ajp.13.2.147 ◽

2016 ◽

Vol 13 (2) ◽

Cited By ~ 1

Author(s):

Charlotte Kukowski ◽

David B King ◽

Anita DeLongis

Keyword(s):

Sleep Quality ◽

Traumatic Stress ◽

Sleep Problems ◽

Maslach Burnout Inventory ◽

Quality Standard ◽

Personal Accomplishment ◽

Poor Sleep ◽

Post Traumatic Stress ◽

Post Traumatic ◽

The Impact

IntroductionParamedics are at high risk for the development of post-traumatic stress disorder (PTSD), trauma-related symptoms, and burnout. Despite the multitude of research linking both PTSD and burnout with poor sleep quality, there has been no research linking all three variables, in emergency workers or otherwise. Given the importance of sleep in a profession that is largely reliant on shift work, the goal of the current study was to examine the moderating effect of burnout on the association between post-traumatic stress and average sleep quality. MethodsA sample of 87 paramedics from major urban centres across Canada completed the Maslach Burnout Inventory and the PTSD Checklist Civilian Version, in addition to reporting sleep quality for a period of one week. ResultsIn support of our hypotheses, post-traumatic stress was associated with lower average sleep quality. Standard regression analyses further revealed that this effect was moderated by burnout, such that higher burnout exacerbated the effect of post-traumatic stress on sleep. In examination of the subscales of the MBI, this effect was maintained for personal accomplishment only, which interacted with stress so as to further impair quality of sleep.ConclusionsThese findings offer important considerations regarding the mitigating role of more positive workplace variables in paramedics suffering from post-traumatic stress, PTSD, and/or sleep problems. Interventions aimed at fostering a sense of personal accomplishment on the job may improve the health of emergency medical personnel via multiple pathways.

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Poor sleep quality is associated with perinatal depression. A systematic review of last decade scientific literature and meta-analysis

Journal of Perinatal Medicine ◽

10.1515/jpm-2019-0214 ◽

2019 ◽

Vol 47 (7) ◽

pp. 689-703 ◽

Cited By ~ 6

Author(s):

Ernesto González-Mesa ◽

Celia Cuenca-Marín ◽

María Suarez-Arana ◽

Beatriz Tripiana-Serrano ◽

Nadia Ibrahim-Díez ◽

...

Keyword(s):

Systematic Review ◽

Sleep Quality ◽

Sleep Disturbances ◽

Perinatal Depression ◽

Meta Analysis ◽

Well Being ◽

Mental States ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Impact

Abstract Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.

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Sleep Disturbances and Fatigue in Critically Ill Patients

AACN Advanced Critical Care ◽

10.4037/nci.0b013e31822052cb ◽

2011 ◽

Vol 22 (3) ◽

pp. 204-224 ◽

Cited By ~ 5

Author(s):

Ellyn E. Matthews

Keyword(s):

Sleep Disturbance ◽

Critically Ill ◽

Critically Ill Patients ◽

Behavioral Interventions ◽

Sleep Disturbances ◽

Sleep Problems ◽

Management Options ◽

Environmental Controls ◽

Critically Ill Adults ◽

The Impact

Sleep disturbances and fatigue are significant problems for critically ill patients. Existing sleep disorders, underlying medical/surgical conditions, environmental factors, stress, medications, and other treatments all contribute to a patient’s inability to sleep. Sleep disturbance and debilitating fatigue that originate during acute illness may continue months after discharge from intensive care units (ICUs). If these issues are unrecognized, lack of treatment may contribute to chronic sleep problems, impaired quality of life, and incomplete rehabilitation. A multidisciplinary approach that incorporates assessment of sleep disturbances and fatigue, environmental controls, appropriate pharmacologic management, and educational and behavioral interventions is necessary to reduce the impact of sleep disturbances and fatigue in ICU patients. Nurses are well positioned to identify issues in their own units that prevent effective patient sleep. This article will discuss the literature related to the occurrence, etiology, and risk factors of sleep disturbance and fatigue and describe assessment and management options in critically ill adults.

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The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control

Chronic Illness ◽

10.1177/1742395318759587 ◽

2018 ◽

Vol 15 (3) ◽

pp. 210-219 ◽

Cited By ~ 9

Author(s):

Onala Telford ◽

Clarissa J Diamantidis ◽

Hayden B Bosworth ◽

Uptal D Patel ◽

Clemontina A Davenport ◽

...

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Sleep Disturbances ◽

Pittsburgh Sleep Quality Index ◽

Diabetes Control ◽

Poor Sleep ◽

Medication Nonadherence ◽

Mediating Factor ◽

The Impact ◽

The Relationship

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.

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

10.20944/preprints202110.0190.v1 ◽

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.

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