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Sack, Robert L., Dennis Auckley, R. Robert Auger, Mary A. Carskadon, Kenneth P. Wright, Michael V. Vitiello, and Irina V. Zhdanova. "Circadian Rhythm Sleep Disorders: Part II, Advanced Sleep Phase Disorder, Delayed Sleep Phase Disorder, Free-Running Disorder, and Irregular Sleep-Wake Rhythm." Sleep 30, no. 11 (November 2007): 1484–501. http://dx.doi.org/10.1093/sleep/30.11.1484.
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Baker, Emma K., Amanda L. Richdale, and Agnes Hazi. "Employment status is related to sleep problems in adults with autism spectrum disorder and no comorbid intellectual impairment." Autism 23, no. 2 (February 18, 2018): 531–36. http://dx.doi.org/10.1177/1362361317745857.
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Both sleep problems and unemployment are common in adults with autism spectrum disorder; however, little research has explored this relationship in this population. This study aimed to explore factors that may be associated with the presence of an International Classification of Sleep Disorders–Third Edition defined sleep disorder in adults with autism spectrum disorder (IQ > 80). A total of 36 adults with autism spectrum disorder and 36 controls were included in the study. Participants completed a 14-day actigraphy assessment and questionnaire battery. Overall, 20 adults with autism spectrum disorder met the International Classification of Sleep Disorders–Third Edition criteria for insomnia and/or a circadian rhythm sleep-wake disorder, while only 4 controls met criteria for these disorders. Adults with autism spectrum disorder and an International Classification of Sleep Disorders–Third Edition sleep disorder had higher scores on the Pittsburgh Sleep Quality Index and were more likely to be unemployed compared to adults with autism spectrum disorder and no sleep disorder. The findings demonstrate, for the first time, that sleep problems are associated with unemployment in adults with autism spectrum disorder. Further research exploring the direction of this effect is required; sleep problems that have developed during adolescence make attainment of employment for those with autism spectrum disorder difficult, or unemployment results in less restrictions required for optimal and appropriate sleep timing.
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NAZANIN, RAZAZIAN, and REZAEI MANSOUR. "SLEEP DISORDERS." Professional Medical Journal 19, no. 04 (August 7, 2012): 508–12. http://dx.doi.org/10.29309/tpmj/2012.19.04.2269.
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Background: It has been estimated that 20% of adults and children have sleep disorder symptoms and signs. Sleep disordersremain largely undiagnosed in the general population. Increasing evidence suggests that sleep alterations could favor subsequent depressionand behavioral disturbances. Aim of the study: Regarding high prevalence of sleep disorders in the general population and their effect onmental and physical functions, this study was aimed to assess the prevalence of sleep disorders among medical students in KermanshahUniversity of Medical Sciences. Methods: Assessment of sleep disorders was done by Global Sleep Assessment Questionnaire (GSAQ). Inthis descriptive study, frequency of insomnia, daytime sleepiness, non-idiopathic insomnia, obstructive sleep apnea, restless leg syndrome andparoxysmal leg movement, nightmares, sleep walking and a sense of depression or anxiety was calculated. Results: A total number of 393medical students, 151 male and 242 female, were recruited. One or more kinds of sleep disorders have been reported by 254 persons (64%).The most frequent disorder was non-idiopathic insomnia (50.9%). Frequency of idiopathic insomnia was 29.5%. Prevalence of daytimesleepiness was 21.4%. The least frequent disorder was sleep walking (1.5%). Subjective sense of anxiety or depression was reported by 109persons (27.7%). Only 39 (9.9%) of the respondents had no disorder. Conclusion: Our findings suggest that sleep disorders are frequent inour studied population of medical students. More education about sleep disorders, sleep hygiene, and management of a life style whichnecessarily includes shift work and long hours of study, may lead to improved sleep patterns in medical students.
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WINKELMAN, J. W., D. B. HERZOG, and M. FAVA. "The prevalence of sleep-related eating disorder in psychiatric and non-psychiatric populations." Psychological Medicine 29, no. 6 (November 1999): 1461–66. http://dx.doi.org/10.1017/s0033291799008272.
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Background. Sleep-related eating disorder is a little-described syndrome combining features of sleep disorders and eating disorders. The behaviour consists of partial arousals from sleep followed by rapid ingestion of food, commonly with at least partial amnesia for the episode the following day. The aim of this study was to provide an estimate of the prevalence of sleep-related eating disorder.Methods. The Inventory of Nocturnal Eating, a self-report questionnaire addressing nocturnal eating and sleep disturbance, was administered to out-patients (N=126) and in-patients (N=24) with eating disorders, obese subjects (N=126) in a trial of an anorexic agent, depressed subjects (N=207) in an antidepressant trial, and an unselected group (N=217) of college students. Sleep-related eating disorder was operationally defined as nocturnal eating with a self-reported reduced level of awareness, occurring at least once per week.Results. Almost 5·0% (33/700) of the sample described symptoms consistent with sleep-related eating disorder. The in-patient eating disorders group had nearly twice the prevalence (16·7%) of the out-patient eating disorder sample (8·7%), which had nearly twice the prevalence of the next highest group, the student sample (4·6%). Subjects with sleep-related eating disorder endorsed more symptoms consistent with sleep disorders and had higher levels of depression and dissociation than those without nocturnal eating.Conclusions. Sleep-related eating disorder is more common than is generally recognized, especially in those with a daytime eating disorder. Sleep disorder symptoms are often associated with sleep-related eating disorder, as are depression and dissociation. Evaluation of individuals with eating disorders should include assessment for sleep-related eating.
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Parreira, Ana Filipa, António Martins, Filipa Ribeiro, and Filipe Glória Silva. "Validação Clínica da Versão Portuguesa do Questionário de Hábitos de Sono das Crianças (CSHQ-PT) em Crianças com Perturbações do Sono e PHDA." Acta Médica Portuguesa 32, no. 3 (March 29, 2019): 195. http://dx.doi.org/10.20344/amp.10906.
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Introduction: The Portuguese version of the Children’s Sleep Habits Questionnaire showed adequate psychometric properties in a community sample but the American cut-off seemed inadequate. This study aimed to validate this questionnaire in clinical populations of children with sleep disorders and with attention deficit/ hyperactivity disorder.Material and Methods: The study sample included 148 Portuguese children aged 2 to 10 years old that where divided in 3 groups: 1. Clinical group with sleep disorders (behavioral insomnias, parasomnias or sleep-related breathing disorders); 2. Clinical group with attention deficit/ hyperactivity disorder; 3. Control group. The sleep habits and sleep problems were evaluated using the Children’s Sleep Habits Questionnaire. Sleep-related disorders were confirmed by polysomnography.Results: The questionnaire’s internal consistency (Cronbach α) in the clinical sample (sleep disorders and attention deficit/ hyperactivity disorder) was 0.75 and ranged from 0.55 to 0.85 for the subscales. Children with sleep disorders and attention deficit/ hyperactivity disorder had a higher sleep disturbance index (full scale score) compared to the control group. The subscales presented significant differences between the subgroups with different sleep disorders showing discriminative validity. The receiver operating characteristic analysis of the sleep disturbance index comparing the sleep disorder and control sample determined a cut-off of 48 (sensibility 0.83;specificity 0.69).Discussion: Children with sleep disorders and attention deficit/ hyperactivity disorder evidenced higher Sleep Disturbance Index (full scale score) comparing to the control group. The subscales presented significative differences between the subgroups with different sleep disorders showing discriminative validityConclusion: The Portuguese version of the Children’s Sleep Habits Questionnaire showed adequate psychometric properties for children with sleep disorders and/or attention deficit/ hyperactivity disorder. The cut-off value 48 is better adjusted for the Portuguese population.
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Millichap, J. Gordon. "Sleep Disorders in Attention Deficit Disorder." Pediatric Neurology Briefs 13, no. 9 (September 1, 1999): 72. http://dx.doi.org/10.15844/pedneurbriefs-13-9-11.
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Pallia, R. "Sleep disorder in autism spectrum disorders." Neuropsychiatrie de l'Enfance et de l'Adolescence 60, no. 5 (July 2012): S58—S59. http://dx.doi.org/10.1016/j.neurenf.2012.05.234.
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Chaij, Jasmine M., George Golovko, Juquan Song, Steven E. Wolf, Amina El Ayadi, Kendall Wermine, Sunny Gotewal, et al. "123 Sleep Disorder Is Associated with Neuropsychological Disturbances in Burn Survivals." Journal of Burn Care & Research 43, Supplement_1 (March 23, 2022): S80—S81. http://dx.doi.org/10.1093/jbcr/irac012.125.
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Abstract Introduction Prior studies explored neuropsychological disorders in the context of burn severity; however, the relationship between occurrence after burn and sleep has not been investigated. This study aims to determine if patients that developed a first-time sleep disorder after burn injury are more likely to develop a psychological or nervous system disorder within 10 years after injury. Methods We identified burn patients on the TriNetX database, a federated research network of de-identified patient data. We formed two groups, those with first time sleep disorder diagnosis on or after the incidence of burn injury and those with no first-time sleep disorder diagnosis on or after burn. Groups were propensity matched to evaluate incidence of nervous system and mental disorders and characteristics, defined as bipolar disorder, epilepsy, neuropathy disorders, and 52 other neuropsychological disorders. Diagnoses of nervous system disorder and mental disorder were limited to after the burn injury and within the 10-year time frame. We analyzed data using a z-test with a p < 0.05 considered significant. Results We found 7.83% of patients developed a first-time sleep disorder after burn injury. The population was older (43.9 ± 20.8 vs. 31.7 ± 22.4 yrs), female (51.13% vs. 46.10%), and White (70.02% vs 60.24%) when compared to those without sleep disorders (p< 0.05). Those who experienced a first-time sleep disorder after burn presented a greater risk of developing the mental, central nervous system, and peripheral nervous system disorders when compared to those who did not. Eating disorders, persistent mood disorders, and obsessive-compulsive disorders were 4.54, 95% CI [3.65, 5.65]; 3.84, 95% CI [3.49, 4.22], and 3.94, 95% CI [3.13, 4.97] times higher, respectively, in patients who developed a first-time sleep disorder (p< 0.05). Anxiety-related disorders were also more than 3 times more likely in those who developed a sleep disorder after burn (p< 0.05).Central nervous system disorders were related to sleep disorder post burn. Extrapyramidal and movement disorders were more than 3 times more likely to occur in sleep disorder patients (Extrapyramidal and movement disorder, unspecified 95% CI [2.48, 4.63] and Other extrapyramidal and movement disorders 95% CI [3.17, 3.78]. In regard to peripheral nervous system disturbances, restless leg syndrome was more than 4 times more likely to occur in patients that developed a first time sleep disorder after burn injury 95% CI [3.70, 4.65]. Polyneuropathy was also 2.28 more times likely to occur 95% CI [2.12, 2.47]. Conclusions Mental disorders and various central nervous system and peripheral nervous system disturbances are highly associated with identification of sleep disorders after burn. This finding suggests close monitoring for sleep in those who were burned to optimize outcomes.
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saranya, Ms Saranya, and Raj rani. "DESCRIPTIVE STUDY ON SLEEP DISORDERS AMONG HEMODIALYSIS PATIENTS." GENESIS 8, no. 1 (March 10, 2021): 11–13. http://dx.doi.org/10.47211/tg.2021.v08i01.003.
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The prevalence of sleep disorders is higher in patients with renal disorder than the general population. we have a tendency to studied the prevalence of sleep disorders in eighty eight (mean age; forty one.59 ± 16.3years) The investigated sleep disorders enclosed sleep disorder, restless leg syndrome (RLS), impeding sleep disorder syndrome (OSAS), excessive daytime temporary state (EDS), hypersomnia and sleep walking, and that we used a form in accordance with those of the Epworth temporary state Scale
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Roeper, April, Lauren Covington, Xiaopeng Ji, and Janeese Brownlow. "0645 Prevalence of sleep disorders and their association with posttraumatic stress and anxiety symptoms among college students." SLEEP 46, Supplement_1 (May 1, 2023): A283—A284. http://dx.doi.org/10.1093/sleep/zsad077.0645.
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Abstract Introduction Incidence of diagnosed psychiatric disorders tend to peak during early adulthood. Furthermore, sleep complaints are highly prevalent among college students, and often exacerbate psychiatric disorders. This study aimed to explore the prevalence of sleep disorders, and their association with posttraumatic stress disorder (PTSD) and generalized anxiety disorder (GAD) symptoms among college students. Methods College students completed self-report measures as part of a larger study (n=56; mean age 20.23 (SD=1.5); 83.9% females). The SLEEP-50 questionnaire estimated the prevalence of sleep disorders. Each sleep disorder required a cutoff score and at least one sleep complaint, with a minimum score of three or four used to classify a sleep complaint. The GAD-7 scale assessed for generalized anxiety disorder symptoms, and the PCL-5 determined PTSD symptomatology. Linear regression models identified the association between each sleep disorder on posttraumatic stress and generalized anxiety symptoms. Results Approximately 19.6% of students were at risk for at least one sleep disorder. The most frequent sleep disorder was hypersomnia (69.5%), followed by narcolepsy (53.6%), insomnia (48.2%), affective disorder (28.6%), and restless leg syndrome (21.4%). In contrast, circadian rhythm disorder (16.1%) and sleep apnea (7.1%) were infrequently reported. Linear regression models indicated that affective disorder (t=2.83, p<.007; t=3.13, p<.003) and hypersomnia disorder (t=2.31, p=.025; t=2.39, p=.020) significantly predicted PTSD and GAD symptoms respectively. Additionally, insomnia (t=3.97, p<.001) and restless leg syndrome (t=2.34, p=.023) were significant predictors for GAD only, and circadian rhythm disorder (t=2.760, p=.008) was a significant predictor for PTSD only. Conclusion Results suggest that risk of sleep disorders was significantly associated with PTSD and GAD symptoms in college students. Given these findings, health promotion programs are needed to promote good sleep hygiene and early interventions for mental health during college years. Support (if any) This study was funded by a Center Grant from the National Institutes of General Medical Sciences (Grant # P20GM103653).
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Permatawati, Medina, Agung Triono, and Mei Neni Sitaresmi. "Sleep disorders in children with attention-deficit/hyperactivity disorder." Paediatrica Indonesiana 1, no. 1 (March 19, 2018): 48. http://dx.doi.org/10.14238/pi1.1.2018.46-50.
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Background Attention-deficit/hyperactivity disorder (ADHD) is a neurobehavioral abnormality that commonly occurs among children. Sleep disorders are comorbid with ADHD. Sleep disorders in Indonesian children with ADHD have not been widely studied.Objective To understand the proportion and factors that influence sleep disorders in children with ADHD. Methods This cross-sectional study involved 54 children aged 3-14 years who had been diagnosed with ADHD by a pediatric growth and development consultant using DSM-5 criteria. The subjects were consecutively selected from March to August 2017 at the Child Development Polyclinic, Dr. Sardjito Hospital, Yogyakarta. Sleep data were collected using the Sleep Disturbances Scale for Children (SDSC) and the Children’s Sleep Hygiene Scale (CSHS).Results Of the 54 children with ADHD (46 males and 8 females), 35 (64.8%) experienced sleep disorders. The majority (26 subjects, 48.1%) had the disorder of initiating and maintaining sleep. Children with the combined (inattention and hyperactive-impulsive) type of ADHD experienced significantly greater sleep disturbance compared to the inattention type or hyperactive-impulsive type (OR=3.750; 95% CI 1.133 to 12.41; P=0.027). Poor sleep hygiene was also significantly associated with more severe sleep disorders (r=-0.383, P=0.004).Conclusion The proportion of sleep disorder in children with ADHD is relatively high, with the majority having a disorder of initiating and maintaining sleep. Children with combined type ADHD experience a higher amount of sleep disorder than those with either the inattention or hyperactive-impulsive types of ADHD. Children with poor sleep hygiene have significantly more severe sleep disorders.
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Permatawati, Medina, Agung Triono, and Mei Neni Sitaresmi. "Sleep disorders in children with attention-deficit/hyperactivity disorder." Paediatrica Indonesiana 58, no. 1 (March 20, 2018): 48. http://dx.doi.org/10.14238/pi58.1.2018.48-52.
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Background Attention-deficit/hyperactivity disorder (ADHD) is a neurobehavioral abnormality that commonly occurs among children. Sleep disorders are comorbid with ADHD. Sleep disorders in Indonesian children with ADHD have not been widely studied.Objective To understand the proportion and factors that influence sleep disorders in children with ADHD. Methods This cross-sectional study involved 54 children aged 3-14 years who had been diagnosed with ADHD by a pediatric growth and development consultant using DSM-5 criteria. The subjects were consecutively selected from March to August 2017 at the Child Development Polyclinic, Dr. Sardjito Hospital, Yogyakarta. Sleep data were collected using the Sleep Disturbances Scale for Children (SDSC) and the Children’s Sleep Hygiene Scale (CSHS).Results Of the 54 children with ADHD (46 males and 8 females), 35 (64.8%) experienced sleep disorders. The majority (26 subjects, 48.1%) had the disorder of initiating and maintaining sleep. Children with the combined (inattention and hyperactive-impulsive) type of ADHD experienced significantly greater sleep disturbance compared to the inattention type or hyperactive-impulsive type (OR=3.750; 95% CI 1.133 to 12.41; P=0.027). Poor sleep hygiene was also significantly associated with more severe sleep disorders (r=-0.383, P=0.004).Conclusion The proportion of sleep disorder in children with ADHD is relatively high, with the majority having a disorder of initiating and maintaining sleep. Children with combined type ADHD experience a higher amount of sleep disorder than those with either the inattention or hyperactive-impulsive types of ADHD. Children with poor sleep hygiene have significantly more severe sleep disorders.
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Malow, Beth, and Angela Maxwell-Horn. "Sleep in Autism." Seminars in Neurology 37, no. 04 (August 2017): 413–18. http://dx.doi.org/10.1055/s-0037-1604353.
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AbstractAutism spectrum disorder (ASD) is a neurodevelopmental disorder that has increased in prevalence over the last several decades. A significant proportion of children with ASD have comorbid sleep disorders. The interplay between ASD and sleep is multifactorial and bidirectional. There is evidence for physiological differences in ASD that contribute to sleep problems, including sensory overresponsiveness (SOR) and abnormal melatonin production. Comorbidities associated with ASD (attention deficit hyperactivity disorder [ADHD], mood disorders) as well as medications used to treat these comorbidities often have effects on sleep architecture. In this article the authors discuss the etiology and manifestations of sleep disorders in children with ASD, as well as their clinical evaluation and treatment options.
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Kim, Keun Tae, and Yong Won Cho. "Hospital Selection Factors of Sleep Disorder: Sleep Apnea Versus Other Sleep Disorders." Journal of Sleep Medicine 18, no. 2 (August 31, 2021): 100–105. http://dx.doi.org/10.13078/jsm.210008.
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Objectives: The hospital selection factor is the criterion based on the judgment of the patients’ decision process. We investigated the hospital selection factors of patients with sleep disorders and compared that for patients with sleep apnea and other sleep disorders. Methods: This is a questionnaire-based cross-sectional study that evaluated patients with a sleep disorder at the sleep unit of a tertiary referral center. We investigated the patients’ demographic information, occupational status, diagnosis of sleep disorders, and hospital-related and patient-related factors associated with hospital selection. Results: A total of 138 patients with a sleep disorder were analyzed. Internet information was the primary data source for sleep apnea patients to select a hospital, while it was acquaintances for patients with other sleep disorders. None with sleep apnea gathered information from broadcast or print media. Patients gave the highest score for the least waiting time and recency of the hospital’s facility. Unlike patients with other sleep disorders, those with sleep apnea valued the hospital’s popularity, accessibility, availability of appointments at desired dates, and medical expense benefits. Conclusions: This is the first study to analyze the hospital selection factors of patients with sleep disorders in South Korea. This study might improve the sleep medication as well as the medical system by revealing the medical use behavior of patients with sleep disorders.
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Fulk, George D., Pierce Boyne, Makenzie Hauger, Raktim Ghosh, Samantha Romano, Jonathan Thomas, Amy Slutzky, and Karen Klingman. "The Impact of Sleep Disorders on Functional Recovery and Participation Following Stroke: A Systematic Review and Meta-Analysis." Neurorehabilitation and Neural Repair 34, no. 11 (November 2020): 1050–61. http://dx.doi.org/10.1177/1545968320962501.
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Background Adequate sleep is vital for health and quality of life. People with stroke and a concomitant sleep disorder may have poorer outcomes than those without a sleep disorder. Objective To systematically evaluate the published literature to determine the impact of sleep disorders on physical, functional recovery at the activity and participation level after stroke. Methods A systematic review was conducted using PubMed, CINAHL, Scopus, and PsycINFO. Studies were selected that reported outcomes on physical, functional recovery at the activity and participation levels in participants with stroke and a diagnosed sleep disorder. A meta-analysis was performed on included studies that reported Barthel Index (BI) and modified Rankin Scale (mRS) scores. Results: A total of 33 studies were included in the systematic review with 9 of them in the meta-analysis. The mean mRS score was 0.51 points higher in participants with stroke and sleep disorders versus participants with stroke without sleep disorder [95% CI: 0.23-0.78]. The mean BI score was 10.2 points lower in participants with stroke and sleep disorders versus participants with stroke without sleep disorder [95% CI: −17.9 to −2.6]. Conclusions People with stroke and a sleep disorder have greater functional limitations and disability than those without a sleep disorder. Rehabilitation professionals should screen their patients with stroke for potential sleep disorders and further research is needed to develop sleep and rehabilitation interventions that can be delivered in combination. PROSPERO registration number: CRD42019125562.
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Wills, Chloe, Brooke Mason, Andrew Tubbs, William Killgore, and Michael Grandner. "0117 Two-Year Memory Change is Associated with Sleep Disorders in a Survey of Older Adults." Sleep 45, Supplement_1 (May 25, 2022): A52—A53. http://dx.doi.org/10.1093/sleep/zsac079.115.
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Abstract Introduction Insufficient sleep and sleep disorders have been previously associated with worse cognitive outcomes, such as worse memory performance. This analysis aims to assess the relationship between diagnosed sleep disorder and memory change over a period of two years. Methods N=17,156 older adults residing in the United States were assessed using the Health and Retirement Survey (Core) in 2018, with additional variables obtained in the previous wave (2016 on the same participants). Those who reported no sleep disorder in either wave were categorized as “no sleep disorder,” and they were compared to those who reported a sleep disorder in both waves (“sustained sleep disorder”) or one wave but not the other (“new sleep disorder” or “remitted sleep disorder.” Memory change was assessed using a survey item asking if the respondent’s memory was “worse”, “better”, or “the same” as compared to two years prior. Multinomial logistic regression was used to assess the relationship between these variables, and results were adjusted for sex, age, race, ethnicity, and depression. Results In adjusted results, those who reported that their memory improved were 124% (OR=2.24; 95%CI[1.51, 3.31]; p<0.001) more likely to have a sleep disorder that was remitted in the past 2 years. Those who reported that their memory worsened were 103% more likely to have a new sleep disorder (OR=2.03; 95%CI[1.65,2.50]; p<0.001), and 58% more likely to have a sustained sleep disorder (OR=1.58; 95%CI[1.40,1.77]; p<0.001). Interestingly, those whose memory worsened were also 39% more likely to have a remitted sleep disorder (OR=1.35; 95%CI[1.10,1.77]; p=0.006). Conclusion In older adults, there is a relationship between change in memory function and sleep disorders, such that improved memory is associated with improved sleep and worsened memory is associated with worse sleep or sustained sleep problems. Unfortunately, the specific sleep disorders associated were not reported. Future work should examine these effects in terms of specific sleep disorders, additional effect modifiers/covariates, and the role of sleep health in improving memory function. Support (If Any) The HRS (Health and Retirement Study) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan.
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White, Emily K., Amy B. Sullivan, and Michelle Drerup. "Short Report: Impact of Sleep Disorders on Depression and Patient-Perceived Health-Related Quality of Life in Multiple Sclerosis." International Journal of MS Care 21, no. 1 (January 1, 2019): 10–14. http://dx.doi.org/10.7224/1537-2073.2017-068.
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Abstract Background: Sleep disorders in multiple sclerosis (MS) are associated with reduced health-related quality of life (HRQOL) and depression. However, research investigating and comparing how the two most common sleep disorders—insomnia and obstructive sleep apnea (OSA)—affect depression and HRQOL in MS is limited. The goal of this study is to examine the impact of diagnosed sleep disorders on patient-reported 1) HRQOL and 2) depressive symptoms in patients with MS. Methods: We performed a retrospective medical record review of 531 adult patients with MS: 287 (54%) with a comorbid sleep disorder (insomnia or OSA) and 244 (46%) without a diagnosed sleep disorder. Results: Neither 1) average ratings of depression or HRQOL nor 2) the proportion of moderate depression or moderately impaired HRQOL differed between individuals with MS and insomnia and those with MS and OSA. Neither sleep disorder predicted increased depression or poorer HRQOL. However, individuals with MS and a comorbid sleep disorder (insomnia or OSA) had poorer HRQOL compared with those without a diagnosed sleep disorder (MS only). Conclusions: Presence of a diagnosed sleep disorder may negatively affect HRQOL in MS. Providers should continue to screen for sleep disorders given their negative impact on patients with MS and the availability of effective treatments for insomnia and OSA.
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Huang, Jing, Wenyan Zhuo, Yuhu Zhang, Hongchun Sun, Huan Chen, Peipei Zhu, Xiaobo Pan, Jianhao Yang, and Lijuan Wang. "Cognitive Function Characteristics of Parkinson’s Disease with Sleep Disorders." Parkinson's Disease 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/4267353.
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Objective. The aim of this study was to investigate the cognitive function characteristics of Parkinson’s disease (PD) with sleep disorders. Methods. Consecutive patients with PD (n=96), patients with primary sleep disorders (n=76), and healthy control subjects (n=66) were assessed. The patients with PD were classified into sleep disorder (PD-SD) and non-sleep disorder (PD-NSD) groups. Results. Among 96 patients with PD, 69 were diagnosed with a sleep disorder. There were 38 sleep disorder cases, 31 RBD cases, and 27 NSD cases. On the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and MoCA subtests, patients in the PD-SD, primary sleep disorder, and PD-NSD groups exhibited lower scores than those in the control group. Moreover, the PD-SD patients exhibited more significant cognitive impairment than was observed in the primary sleep disorder patients. In the PD-SD subgroup, the attention scores on the MoCA and on MoCA subtests were lower in the PD with RBD group than in the PD with insomnia group. Conclusion. PD with sleep disorders may exacerbate cognitive dysfunction in patients. PD associated with different types of sleep disorders differentially affects cognitive functions, and patients with PD with RBD exhibited poorer cognitive function than was seen in patients with PD with insomnia.
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Saletu-Zyhlarz, G., W. Prause, M. Aigner, P. Anderer, E. Grätzhofer, S. Klug, and B. Saletu. "CS03-03 - Sleep and sleep disorders in somatoform pain disorder." European Psychiatry 26, S2 (March 2011): 1776. http://dx.doi.org/10.1016/s0924-9338(11)73480-0.
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IntroductionSomatoform pain disorder (SPD) is frequently associated with sleep disorders, specifically restless legs syndrome and insomnia, which in turn lowers the pain threshold and worsens pain.ObjectivesThe aim of the present study was to investigate differences in wake-EEG by low-resolution electromagnetic tomography (LORETA) and objective and subjective sleep and awakening quality in SPD patients as compared with controls and study acute and chronic effects of trazodone CR on these variables and pain measures.MethodsFifteen patients with SPD (F45.4) and co-morbid insomnia (F51.0) were compared with 15 controls and participated in a single-blind, placebo-controlled, cross-over study on the acute effect of 100 mg trazodone CR, followed by a six-week open titration period. Statistics involved clinical, EEG-LORETA, PSG and psychometry.ResultsLORETA showed reduced power, mainly in the beta band in almost all pain matrix areas (SI, SII, ACC, SMA, PFC, PPC, insula, amygdala, hippocampus). PSG demonstrated a lack of deep sleep and increased arousals and stage shifts, with opposite changes induced by trazodone after acute and chronic therapy. Improvement of sleep was associated with improvement of pain, evaluated by visual-analog scales.ConclusionOur LORETA findings demonstrate a dysfunctional pain modulation in SPD. Trazodone induced changes in subjective and objective sleep and awakening quality that were opposite to the differences between SPD patients and controls (key-lock principle) and associated with pain improvement.
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Kooij, J. J. S. "Is ADHD a sleep disorder? can adhd improve by treating the comorbid sleep disorder(S)? a research update." European Psychiatry 64, S1 (April 2021): S556. http://dx.doi.org/10.1192/j.eurpsy.2021.1483.
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IntroductionResearch has shown that ADHD and sleep disorders are intimately intertwined in the majority of patients in both childhood and adulthood. Circadian rhythm sleep disturbances, esp. the delayed sleep phase syndrome, as well as several other sleep disorders, such as Insomnia, Restless Legs, Periodic Limb Movement Disorder and Sleep apnea are associated with ADHD. With a prevalence rate of 80% of sleep disorders in adults with ADHD, the question not only is what is chicken and egg, but even if both conditions share a joint pathophysiology.ObjectivesTo investigate the consequences of this comorbid sleep disorders on severity of ADHD, mood and health, as well as to find evidence on improvement of ADHD by treatment of the sleep disorder(s).MethodsRecent research will be evaluated to formulate answers to these questions.ResultsSleep loss resulting from sleep disorders increases ADHD severity due to more impairment of cognition and memory as well as mood instability. Sleep loss in the longer term also leads to obesity, with negative consequences for health in general. First studies showing a decrease of ADHD symptoms by treatment of sleep disorders will be discussed.ConclusionsADHD and sleep disorders come together in the majority of patients and need both assessment and treatment. Treatment of ADHD by improving sleep, is an intriguing research question with potential new treatment options.
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Luca, Gianina, and Lola Peris. "Sleep Quality and Sleep Disturbance Perception in Dual Disorder Patients." Journal of Clinical Medicine 9, no. 6 (June 26, 2020): 2015. http://dx.doi.org/10.3390/jcm9062015.
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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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Krakow, Barry, Ali Artar, Teddy D. Warner, Dominic Melendrez, Lisa Johnston, Michael Hollifield, Anne Germain, and Mary Koss. "Sleep Disorder, Depression, and Suicidality in Female Sexual Assault Survivors." Crisis 21, no. 4 (July 2000): 163–70. http://dx.doi.org/10.1027//0227-5910.21.4.163.
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The role of sleep in psychiatric illness in general, and depression and suicidality in particular, is poorly understood and has not been well researched despite the pervasiveness of sleep complaints in these conditions. As an exploratory, hypothesis-generating study, female sexual assault survivors with posttraumatic stress disorder (n = 153) who had enrolled in a nightmare-treatment program were assessed for subjectively determined sleep breathing and sleep movement disorders. Diagnoses of potential disorders were based on clinical practice parameters and research algorithms from the field of sleep disorders medicine. Potential sleep breathing and sleep movement disorders were present in 80% of the participants (n = 123) and included three subgroups: sleep-disordered breathing only (n = 23); sleep movement disorder only (n = 45); and both sleep disorders (n = 55). Based on the HamiltonDepression Rating Scale and Suicide subscale, participants with potential sleep disorders suffered greater depression (Cohen's d = .73-.96; p < .01) and greater suicidality (Cohen's d = .57-.78; p < .05) in comparison to participants without potential sleep disorders. The group with both sleep disorders suffered from the most severe depression and suicidality. A provisional hypothesis is formulated that describes how sleep disorders may exacerbate depression and suicidality through the effects of chronic sleep fragmentation.
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Gupta, Madhulika A., and Harvey Moldofsky. "Dysthymic Disorder and Rheumatic Pain Modulation Disorder (Fibrositis Syndrome): A Comparison of Symptoms and Sleep Physiology." Canadian Journal of Psychiatry 31, no. 7 (October 1986): 608–16. http://dx.doi.org/10.1177/070674378603100702.
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It has been suggested that “fibrositis” or rheumatic pain modulation disorder (RPMD) is a varient of depressive illness. Both disorders are associated with abnormalities in sleep physiology. Since the clinical features of RPMD do not meet all the criteria for a major depressive disorder, the symptoms and sleep phsyiology in subjects with dysthmic disorder (DSM III criteria) (N = 6), and RMPD (N = 6) were compared, in order to determine the similarity between the two groups. The sleep physiology in dysthymic disorder was first examined over three consecutive nights since a systematic evaluation of the sleep physiology in this group of disorders has not yet been reported. All dysthymic patients showed episodic bursts of high-amplitude (75–150 microvolts) theta (3–5 Hz) bursts in stage 2 sleep, and REM onset latency was abbreviated only on night 2. The theta bursts have not been previously reported, and may be an early marker of disorganization of non-REM sleep in the dysthymic subjects. The comparison of the two groups revealed that RPMD subjects reported more pre- and post-sleep pain (p < 0.01), lighter sleep (p < 0.01), and more physical ailments during sleep (p < 0.01), and had more alpha (7–11.5 Hz) in non-REM sleep (p < 0.01). The dysthymic subjects who reported deeper sleep (p < 0.01), had a greater sleep continuity disturbance with longer stage 2 onset latency (p < 0.05), fewer hours of sleep (p < 0.05), more wakefulness after sleep onset (p < 0.05), more awakenings per hour of sleep (p < 0.01) and more stage changes per hour of sleep (p < 0.01), and showed theta bursts in stage 2 (p < 0.01). The distinctive symptoms and sleep physiologies in the two groups suggest that the two disorders are not related.
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Raut, Aishwarya Deepak, and Bharati Dixit. "Sleep Apnoea Disorder." European Journal of Engineering Research and Science 5, no. 3 (March 20, 2020): 339–42. http://dx.doi.org/10.24018/ejers.2020.5.3.1822.
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This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.
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Raut, Aishwarya Deepak, and Bharati Dixit. "Sleep Apnoea Disorder." European Journal of Engineering and Technology Research 5, no. 3 (March 20, 2020): 339–42. http://dx.doi.org/10.24018/ejeng.2020.5.3.1822.
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This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.
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Rosa, Eni Folendra, and Nelly Rustiaty. "Affective Disorders in The Elderly: The Risk of Sleep Disorders." International Journal of Public Health Science (IJPHS) 7, no. 1 (March 1, 2018): 33. http://dx.doi.org/10.11591/ijphs.v7i1.9960.
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The purpose of this study is to look at the relationship of sleep disorders to the incidence of affective disorders. In addition, assess whether the relationship remains significant after controlled variable bullies that also affect the occurrence of sleep disorders and or affective disorders in elderly. Observational study with unmatched case control study design. Individual population age 60 years or older, sampling probability proportional to size, consist of case group that is experiencing sleep disturbance (n=165) and control group (n=330). Respondent sleep disturbance affective disorder 23.6%. There is a significant relationship of sleep disorders to affective disorders. Sleep disorders at risk 2.47 times affective disorder. Sleep disorders can be insomnia, awakening at night or waking up too early which can lead to psychological disorders such as psychological disorders such as anger, unstable emotions, sadness, distress, anxiety is also a physical disorder such as pain in the body. If not immediately addressed can continue to occur depression and even threaten psychiatric disorders. Further research needs to be done to overcome sleep disorders in the elderly.<p> </p>
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Liu, Gui-Ling, Qiu-Nan Zhan, You-Lu Zhao, Zu-Ying Xiong, Jin-Lan Liao, Ye-Ping Ren, Qin Wang, et al. "Risk factors for sleep disorders in patients undergoing peritoneal dialysis." Sleep and Biological Rhythms 19, no. 3 (January 24, 2021): 255–64. http://dx.doi.org/10.1007/s41105-021-00311-2.
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AbstractSleep disorders in patients with end-stage renal disease are common but have rarely been reported in previous studies. Therefore, we examined the prevalence of sleep disorders and the risk factors for declining sleep quality in patients undergoing peritoneal dialysis (PD). A multicenter prospective cohort study was conducted at five PD centers across different provinces in China. A total of 449 patients who underwent PD between March to November 2013 were enrolled. Demographic data, laboratory indicators, presence of depression, and sleep assessment data were collected. Sleep questionnaires reflecting five categories of sleep disorders, namely, insomnia, restless legs syndrome, excessive daytime sleepiness, possible narcolepsy, and sleepwalking and nightmares, were administered at baseline and at 24 months postoperatively. Sleep disorders were diagnosed when a patient had at least one sleep problem. At baseline, 335 (74.6%) patients had at least one type of sleep disorder. Depression, diabetes mellitus (DM), and male were found to be associated with the presence of a sleep disorder. At follow-up, the prevalence of insomnia, restless legs syndrome, and excessive daytime sleepiness had significantly increased in 285 patients. Furthermore, cardiovascular disease (CVD) was found to be associated with the presence of sleep disorders in patients with one or more disorders at baseline, whereas a low serum albumin level was found to be associated with sleep disorders in patients without any sleep disorders at baseline. The prevalence of sleep disorders was relatively high among PD patients at baseline and increased afterthe2-year follow-up. Depression, DM, and male were associated with all sleep disorders at baseline. CVD was associated with the presence of a sleep disorder at baseline and worse sleep quality at the 2-year follow-up; whereas a low serum albumin level was associated with the risk of acquiring a sleep disorder at the 2-year follow-up among patients with normal sleep status at baseline.
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Brown, B., R. Adams, S. Wanstall, M. Crowther, G. Rawson, A. Vakulin, B. Lechat, T. Rayner, P. Eastwood, and A. Reynolds. "P026 Feasibility and acceptability of a novel approach to sleep disorder screening and management for prospective shift workers." SLEEP Advances 3, Supplement_1 (October 1, 2022): A40. http://dx.doi.org/10.1093/sleepadvances/zpac029.099.
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Abstract Introduction Sleep disorders negatively impact health and occupational safety. Individuals commencing shift work with an undiagnosed sleep disorder may be at an increased risk of negative health and safety outcomes due to the addition of sleep schedule interruption associated with shift work. The aim of this study was to assess the feasibility and acceptability of screening for, and treating, sleep disorders in pre-service shift workers. Methods Paramedic students were invited to participate in an intervention comprising of sleep disorder screening (obstructive sleep apnoea, insomnia, restless legs syndrome) and 15 weeks of non-invasive sleep monitoring (Withings Sleep Analyser) with regular follow-up (3, 6, and 12 weeks). Those at risk of a sleep disorder were contacted by the study physician and offered treatment pathways for their identified disorder (primary care or sleep specialist). Feasibility and acceptability will be assessed by a) reaching recruitment targets, b) participation rates, and c) qualitative interviews at 6 and 12 weeks. Results Thirty participants are currently active in the trial with 63% female and an average age of 23 years. Seventeen participants (57%) met criteria for a sleep disorder based on baseline data and treatment pathways were initiated in July 2022 with a planned completion date of October 2022. Discussion Participation rates, sleep parameters (collected through the sleep monitoring device), objective and subjective sleep disorder severity, and qualitative findings about feasibility and accessibility will be presented. Findings from this study will provide insight into barriers associated with accessing treatment for sleep disorders within pre-service shift workers.
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Cheon, Sang-Myung. "REM sleep behavior disorder and neurodegenerative disorders." Journal of Korean Sleep Research Society 6, no. 1 (June 30, 2009): 18–23. http://dx.doi.org/10.13078/jksrs.09005.
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Kim, Seong-Eun, and Seo-Young Lee. "REM sleep behavior disorder and associated disorders." Journal of Korean Sleep Research Society 6, no. 2 (December 31, 2009): 86–89. http://dx.doi.org/10.13078/jksrs09016.
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Owens, Judith A. "Sleep disorders and attention-deficit/hyperactivity disorder." Current Psychiatry Reports 10, no. 5 (October 2008): 439–44. http://dx.doi.org/10.1007/s11920-008-0070-x.
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Yuen, K. M. "Sleep Disorders and Attention-Deficit/Hyperactivity Disorder." JAMA: The Journal of the American Medical Association 281, no. 9 (March 3, 1999): 797. http://dx.doi.org/10.1001/jama.281.9.797.
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Merrill, Ray M., and Kayla R. Slavik. "Relating parental stress with sleep disorders in parents and children." PLOS ONE 18, no. 1 (January 25, 2023): e0279476. http://dx.doi.org/10.1371/journal.pone.0279476.
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Objective To assess whether child sleep disorders positively correlate with parental insomnia, hypersomnia, and sleep apnea, and whether parental and child sleep disorders simultaneously positively associate with parental stress. Potential modifying influences of these associations by age, sex, and marital status will be considered. Methods Analyses are based on 14,009 employees aged 18–64 with dependent children (n = 44,157) insured by Deseret Mutual Benefit Administrator (DMBA) in 2020. Rate ratios are adjusted for age, sex, and marital status. Results The rate of parental stress is 3.00 (95% CI 2.33–4.85) times greater for those with insomnia and 1.88 (95% CI 1.59–2.22) times greater for those with sleep apnea. There is no increased risk of stress for those with hypersomnia. The number of dependent children filing one or more medical claims for a sleep disorder is 2.0%. Mean age is significantly older among those with a sleep disorder (17.1 vs. 14.4, t p < .0001). Child sex is not associated with the risk of having a sleep disorder. The rate of employee insomnia is 111% greater if their child has a sleep disorder, and employee sleep apnea is 115% greater if their child has a sleep disorder. The association between child sleep disorders and sleep apnea decreases with employee age (Wald chi-square p = 0.0410). The rate of employee stress is 90% greater if their child has a sleep disorder, 189% greater if they have insomnia, and 81% greater if they have sleep apnea. The strength of the association between insomnia and stress is greater for women (Wald Chi-square p = 0.0114), between sleep apnea and stress is greater for women (Wald chi-square p = 0.0010), and between sleep apnea and stress is greater for singles (Wald chi-square p = 0.0010). Conclusions Better understanding the connection between parent and child sleep problems and parent stress, and modifying influences, may improve treatment of these disorders.
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McCue, Lena M., Louise H. Flick, Kimberly A. Twyman, and Hong Xian. "Gastrointestinal dysfunctions as a risk factor for sleep disorders in children with idiopathic autism spectrum disorder: A retrospective cohort study." Autism 21, no. 8 (February 12, 2017): 1010–20. http://dx.doi.org/10.1177/1362361316667061.
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Sleep disorders often co-occur with autism spectrum disorder. They further exacerbate autism spectrum disorder symptoms and interfere with children’s and parental quality of life. This study examines whether gastrointestinal dysfunctions increase the odds of having sleep disorders in 610 children with idiopathic autism spectrum disorder, aged 2–18 years, from the Autism Genetic Resource Exchange research program. The adjusted odds ratio for sleep disorder among those with gastrointestinal dysfunctions compared to those without was 1.74 (95% confidence interval: 1.22–2.48). In addition, the odds of having multiple sleep disorder symptoms among children with gastrointestinal dysfunctions, adjusted for age, gender, behavioral problems, bed wetting, current and past supplements, and current and past medications for autism spectrum disorder symptoms were 1.75 (95% confidence interval: 1.10–2.79) compared to children without gastrointestinal dysfunctions. Early detection and treatment of gastrointestinal dysfunctions in autism spectrum disorder may be means to reduce prevalence and severity of sleep problems and improve quality of life and developmental outcomes in this population.
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Zarpellon, Raquel Simone Maccarini, Regina Maria Vilela, Rosana Bento Radominski, and Ana Chrystina de Souza Crippa. "553 Assessment of sleep disorders in children and adolescents with obesity." Sleep 44, Supplement_2 (May 1, 2021): A219. http://dx.doi.org/10.1093/sleep/zsab072.551.
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Abstract Introduction When studying the inherent aspects of sleep it is important to assess how the quality and quantity of sleep in the last two decades may be one of the reasons for the increase in childhood obesity, which has been growing rapidly worldwide. This study aims to assess the presence of sleep disorders in overweight children and adolescents. Methods An descriptive study was conducted with data collection from 43 patients between 6 and 13 years old diagnosed as overweight. They were patients of a specialized service for children and adolescents with obesity that is part of the Hospital de Clínicas of the Federal University of Paraná, located in Curitiba, Brazil. To investigate the presence of sleep disorders, the Sleep Disturbance Scale for Children (SDSC) questionnaire was administered. The factors assessed were: Disorders of Initiating and Maintaining Sleep, Sleep Breathing Disorders, Disorders of Arousallnightmures, Sleep Wake Transition Disorders, Disorders of Excessive Somnolence and Sleep Hyperhydrosis. Results The mean age of the patients that took part in the research was 10 years and 7 months (± 1.95). The mean BMI of the participants was 29.57 kg/m2 (± 4.38), the majority being diagnosed with obesity. The sum of all SDSC factors demonstrated the presence of pathological sleep in 58.1% (25) of the sample, whereas 51.2% (22) of the patients had Sleep Breathing Disorders and 58.1% (25) had the Sleep Wake Transition Disorder. Conclusion The present study demonstrated the presence of sleep disorders in overweight children and adolescents. As for Sleep Respiratory Disorder, a situation has already been advocated in the current literature for this audience. In relation to the Sleep-Wake Transition Disorder and pathological sleep, further research is needed to prove the presence of the disorder in other groups studied. Here is the suggestion that future research be done with subjective and objective data collection on sleep within a larger sample, in order to confirm the association between sleep disorders and childhood obesity. Support (if any):
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DelRosso, Lourdes M., Rosalia Silvestri, and Raffaele Ferri. "Restless Sleep Disorder." Sleep Medicine Clinics 16, no. 2 (June 2021): 381–87. http://dx.doi.org/10.1016/j.jsmc.2021.03.003.
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Choi, Soo Jeon. "Sleep Breathing Disorder." Tuberculosis and Respiratory Diseases 63, no. 1 (2007): 5. http://dx.doi.org/10.4046/trd.2007.63.1.5.
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Arroll, B., A. Fernando, and K. Falloon. "Sleep disorder (insomnia)." BMJ 337, no. 28 1 (November 28, 2008): a1245. http://dx.doi.org/10.1136/bmj.a1245.
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Philipsen, Alexandra, Magdolna Hornyak, and Dieter Riemann. "Sleep and sleep disorders in adults with attention deficit/hyperactivity disorder." Sleep Medicine Reviews 10, no. 6 (December 2006): 399–405. http://dx.doi.org/10.1016/j.smrv.2006.05.002.
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Angehrn, Andréanne, Michelle J. N. Teale Sapach, Rosemary Ricciardelli, Renée S. MacPhee, Gregory S. Anderson, and R. Nicholas Carleton. "Sleep Quality and Mental Disorder Symptoms among Canadian Public Safety Personnel." International Journal of Environmental Research and Public Health 17, no. 8 (April 15, 2020): 2708. http://dx.doi.org/10.3390/ijerph17082708.
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Poor sleep quality is associated with numerous mental health concerns and poorer overall physical health. Sleep disturbances are commonly reported by public safety personnel (PSP) and may contribute to the risk of developing mental disorders or exacerbate mental disorder symptoms. The current investigation was designed to provide estimates of sleep disturbances among PSP and explore the relationship between sleep quality and mental health status. PSP completed screening measures for sleep quality and diverse mental disorders through an online survey. Respondents (5813) were grouped into six categories: communications officials, correctional workers, firefighters, paramedics, police officers, and Royal Canadian Mounted Police (RCMP). Many PSP in each category reported symptoms consistent with clinical insomnia (49–60%). Rates of sleep disturbances differed among PSP categories (p < 0.001, ω = 0.08). Sleep quality was correlated with screening measures for post-traumatic stress disorder (PTSD), depression, anxiety, social anxiety disorder, panic disorder, and alcohol use disorder for all PSP categories (r = 0.18–0.70, p < 0.001). PSP who screened positive for insomnia were 3.43–6.96 times more likely to screen positive for a mental disorder. All PSP reported varying degrees of sleep quality, with the lowest disturbances found among firefighters and municipal/provincial police. Sleep appears to be a potentially important factor for PSP mental health.
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Yamadera, Hiroshi. "The Topics of Sleep Disorder: Concerning Sleep-wake Rhythm Disorder." Journal of Nippon Medical School 68, no. 4 (2001): 344–48. http://dx.doi.org/10.1272/jnms.68.344.
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Côté, I., DA Trojan, M. Kaminska, M. Cardoso, A. Benedetti, D. Weiss, A. Robinson, A. Bar-Or, Y. Lapierre, and RJ Kimoff. "Impact of sleep disorder treatment on fatigue in multiple sclerosis." Multiple Sclerosis Journal 19, no. 4 (August 22, 2012): 480–89. http://dx.doi.org/10.1177/1352458512455958.
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Background: We recently reported that sleep disorders are significantly associated with fatigue in multiple sclerosis (MS). Objective: The objective of this paper is to assess the effects of sleep disorder treatment on fatigue and related clinical outcomes in MS. Methods: This was a controlled, non-randomized clinical treatment study. Sixty-two MS patients completed standardized questionnaires including the Fatigue Severity Scale (FSS), Multidimensional Fatigue Inventory (MFI), Epworth Sleepiness scale (ESS) and Pittsburgh Sleep Quality Index (PSQI), and underwent polysomnography (PSG). Patients with sleep disorders were offered standard treatment. Fifty-six subjects repeated the questionnaires after ≥ three months, and were assigned to one of three groups: sleep disorders that were treated (SD-Tx, n=21), sleep disorders remaining untreated (SD-NonTx, n=18) and no sleep disorder (NoSD, n=17). Results: FSS and MFI general and mental fatigue scores improved significantly from baseline to follow-up in SD-Tx ( p <0.03), but not SD-NonTx or NoSD subjects. ESS and PSQI scores also improved significantly in SD-Tx subjects ( p <0.001). Adjusted multivariate analyses confirmed significant effects of sleep disorder treatment on FSS (-0.87, p = 0.005), MFI general fatigue score ( p = 0.034), ESS (p = 0.042) and PSQI (p = 0.023). Conclusion: Treatment of sleep disorders can improve fatigue and other clinical outcomes in MS.
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Winkelman, John W. "Sleep-Related Eating Disorder and Night Eating Syndrome: Sleep Disorders, Eating Disorders, or Both?" Sleep 29, no. 7 (July 2006): 876–77. http://dx.doi.org/10.1093/sleep/29.7.876.
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Liao, Y., J. Benson, S. Higgins, P. Drakatos, J. S. Kaler, D. O'Regan, C. C. Tsai, et al. "Sleep architecture and comorbid sleep disorders in patients with bipolar affective disorder and recurrent depressive disorder." Sleep Medicine 64 (December 2019): S130—S131. http://dx.doi.org/10.1016/j.sleep.2019.11.357.
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Mysliwiec, Vincent, Matthew Brock, Kristi Pruiksma, Casey Straud, Daniel Taylor, Shana Hansen, Shannon Foster, et al. "0325 A Comprehensive Evaluation of Sleep Disorders in Male and Female U.S. Military Personnel." Sleep 45, Supplement_1 (May 25, 2022): A146—A147. http://dx.doi.org/10.1093/sleep/zsac079.323.
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Abstract Introduction Sleep disorders are increasingly recognized in military personnel. However, no study has comprehensively evaluated male and female service members with clinically significant sleep disturbances. While, insomnia and obstructive sleep apnea (OSA) are the two most recognized sleep disorders, some studies have suggested that comorbid insomnia and OSA, also known as COMISA, potentially is the most frequent sleep disorder. Further little is known regarding the co-occurrence of nightmares, shift work disorder, depression, anxiety, and posttraumatic stress disorder (PTSD) in this population. Methods Participants were 309 active duty service members (females n = 113, male n = 196) in all branches of the military who underwent a clinically indicated sleep evaluation in a military sleep disorders center. All underwent an attended in-lab polysomnogram, were diagnosed with insomnia, OSA, or COMISA and completed self-report measures. Participants completed the Nightmare Disorder Index and Shift Work Disorder Index, and non-sleep questionnaires using the PCL-5 for post-traumatic stress disorder (PTSD), the PHQ-9 for depression, the GAD-7 for anxiety, and History of Head Injuries for traumatic brain injury (TBI). Results COMISA was diagnosed in 36.8% of the sample, insomnia in 32.7%, and OSA in 30.4%. Males were significantly more likely to have COMISA or OSA and females were more likely to have insomnia. Polysomnographic variables were consistent with the respective sleep diagnoses. Forty service members (12.9%) met criteria for nightmare disorder; those with OSA were significantly less likely to have nightmares. Shift work disorder was present in 49 (15.9%) and did not differ between sleep diagnoses. PTSD was present in 57 (18%) and those with COMISA were significantly more likely to have PTSD. A history of head injuries was reported by 38.2% and there was no difference in rates between the sleep disorder groups. Conclusion The most frequent sleep disorder profile in service members with sleep disturbances was COMISA, which was associated with significantly higher rates of PTSD and anxiety. Conversely, OSA alone was not associated with higher rates of any comorbid disorders. Nightmare disorder and shift work are relatively prevalent in military personnel with sleep disorders. Support (If Any) This work was supported by the Defense Health Agency, Defense Medical Research and Development Program, Clinical Research Intramural Initiative for Military Women’s Health (DM170708; Mysliwiec), and the Air Force Research Laboratory, Wright Patterson Air Force Base, Ohio (FA8650-18-2-6953; Peterson). The views expressed herein are solely those of the authors and do not represent an endorsement by or the official policy or position of the U.S. Air Force, the U.S. Army, the Defense Health Agency, the Department of Defense, the Department of Veterans Affairs, or the U.S. Government.
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Cheng, Yi-Hsuan, Margaret Lech, and Richardt Howard Wilkinson. "Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning." Sensors 23, no. 7 (March 26, 2023): 3468. http://dx.doi.org/10.3390/s23073468.
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Sleep scoring involves the inspection of multimodal recordings of sleep data to detect potential sleep disorders. Given that symptoms of sleep disorders may be correlated with specific sleep stages, the diagnosis is typically supported by the simultaneous identification of a sleep stage and a sleep disorder. This paper investigates the automatic recognition of sleep stages and disorders from multimodal sensory data (EEG, ECG, and EMG). We propose a new distributed multimodal and multilabel decision-making system (MML-DMS). It comprises several interconnected classifier modules, including deep convolutional neural networks (CNNs) and shallow perceptron neural networks (NNs). Each module works with a different data modality and data label. The flow of information between the MML-DMS modules provides the final identification of the sleep stage and sleep disorder. We show that the fused multilabel and multimodal method improves the diagnostic performance compared to single-label and single-modality approaches. We tested the proposed MML-DMS on the PhysioNet CAP Sleep Database, with VGG16 CNN structures, achieving an average classification accuracy of 94.34% and F1 score of 0.92 for sleep stage detection (six stages) and an average classification accuracy of 99.09% and F1 score of 0.99 for sleep disorder detection (eight disorders). A comparison with related studies indicates that the proposed approach significantly improves upon the existing state-of-the-art approaches.
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Sharma, Manish, Jainendra Tiwari, Virendra Patel, and U. Rajendra Acharya. "Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals." Electronics 10, no. 13 (June 25, 2021): 1531. http://dx.doi.org/10.3390/electronics10131531.
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A sleep disorder is a medical condition that affects an individual’s regular sleeping pattern and routine, hence negatively affecting the individual’s health. The traditional procedures of identifying sleep disorders by clinicians involve questionnaires and polysomnography (PSG), which are subjective, time-consuming, and inconvenient. Hence, an automated sleep disorder identification is required to overcome these limitations. In the proposed study, we have proposed a method using electroencephalogram (EEG) signals for the automated identification of six sleep disorders, namely insomnia, nocturnal frontal lobe epilepsy (NFLE), narcolepsy, rapid eye movement behavior disorder (RBD), periodic leg movement disorder (PLM), and sleep-disordered breathing (SDB). To the best of our belief, this is one of the first studies ever undertaken to identify sleep disorders using EEG signals employing cyclic alternating pattern (CAP) sleep database. After sleep-scoring EEG epochs, we have created eight different data subsets of EEG epochs to develop the proposed model. A novel optimal triplet half-band filter bank (THFB) is used to obtain the subbands of EEG signals. We have extracted Hjorth parameters from subbands of EEG epochs. The selected features are fed to various supervised machine learning algorithms for the automated classification of sleep disorders. Our proposed system has obtained the highest accuracy of 99.2%, 98.2%, 96.2%, 98.3%, 98.8%, and 98.8% for insomnia, narcolepsy, NFLE, PLM, RBD, and SDB classes against normal healthy subjects, respectively, applying ensemble boosted trees classifier. As a result, we have attained the highest accuracy of 91.3% to identify the type of sleep disorder. The proposed method is simple, fast, efficient, and may reduce the challenges faced by medical practitioners during the diagnosis of various sleep disorders accurately in less time at sleep clinics and homes.
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Aini, Nur, Fitria Endah Janitra, Anggi Lukman Wicaksana, Dang Thi Thuy My, and Nguyen Van Trung. "Sleep disorder among patients with breast cancer: A concept analysis." Jurnal Keperawatan Padjadjaran 10, no. 3 (December 31, 2022): 204–23. http://dx.doi.org/10.24198/jkp.v10i3.2056.
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Background: Sleep disorders are a long-term issue for breast cancer survivors (BCS). Sleep disorders are among the top five most bothersome lasting difficulties in BCS, and they have a greater risk of sleep disorders than healthy persons and other cancer patients. Failure to understand sleep disorders in breast cancer patients causes nurses to be unable to give interventions appropriately.Purpose: To clarify the definition of sleep disorders in breast cancer survivors.Method: We comprehensively searched electronic databases from CINAHL, PubMed, and Ovid-MEDLINE. We used the eight steps from Walker and Avant to conduct a concept analysis. This approach was chosen because it gives a philosophical understanding of the concept using linguistic philosophy techniques. Model case and other cases were provided to give a conceptual definition of sleep disorders.Results: Finally, 62 studies were included. We found five antecedents of sleep disorder in breast cancer patients: psychological and emotional stress, physical symptoms, cancer treatment, lack of social support, and sociodemographic factors. This study found four common attributes of sleep disorders 1). abnormal sleep pattern, 2). troubling complaint, 3). persistent complaint, and 4). sleep difficulty. Finally, we found a reduction in quality of life as consequence of sleep disorder in breast cancer patients.Conclusion: Sleep disorders in breast cancer need attention and must be integrated into regular palliative care practices.
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Igbokwe, D., B. A. Ola, A. Odebunmi, M. A. Gesinde, A. Alao, J. Agbu, R. J. E. Ndom, S. O. Adeusi, O. A. Adekeye, and B. C. E. Agoha. "Sleep disorders among adolescents in Nigeria: The development of an assessment instrument (Sleep Disorders in Nigeria Questionnaire [SDINQ])." European Psychiatry 33, S1 (March 2016): s267. http://dx.doi.org/10.1016/j.eurpsy.2016.01.700.
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IntroductionNigerian adolescents report various sleep disorders metaphorically based on the local/native description of such disorders. Hence, it is sometimes difficult for clinicians without a good grasp of the nuance in their description to understand their presentation.AimTo develop a culturally relevant (Nigerian) instrument for assessing sleep disorders.MethodsOne thousand two hundred and twenty-seven Nigerian Secondary School adolescents (634 males and 593 females) between 12–19 years with mean age of 15.20 (SD = 1.5) were administered a 44 item instrument developed following the DSM (V), American Association of Sleep Medicine's International Classification of Sleep Disorders (ICSD, 2005) criteria, and case reports of sleep disorders. The data was subjected to a Principal Component Analysis using Varimax rotation.ResultTen factors instead of the original eleven factors suggested by the authors emerged in the analysis and on closer examination and in juxtaposition with cultural nuances, it was found the ten factors were in line with what is generally reported by adolescents. Sleep walking disorders and sleep related movement disorders loaded in one factor labelled sleep movement disorders, while items representing non restorative sleep experiences, sleep talking, sleep paralysis, sleep apnea, circadian rhythm sleep disorder, narcolepsy, insomnia, sleep terror disorder and nightmare disorder loaded on their individual factors. The SDINQ showed a Cronbach Alpha of .916 and a good correlation with subscales of the School Sleep Habits Survey (SSHS).ConclusionsThe SDINQ has been found to be a valid and reliable instrument for assessing the presence of sleep disorders among adolescents in Nigeria.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Xu, Chun, Priscila Acevedo, Liang Wang, Nianyang Wang, Kaysie Ozuna, Saima Shafique, Annu Karithara, et al. "Sleep Apnea and Substance Use Disorders Associated with Co-Occurrence of Anxiety Disorder and Depression among U.S. Adults: Findings from the NSDUH 2008–2014." Brain Sciences 13, no. 4 (April 14, 2023): 661. http://dx.doi.org/10.3390/brainsci13040661.
Full textAbstract:
Few studies have focused on sleep apnea and substance use disorders with co-occurrence of anxiety disorder and depression. This study included a total of 270,227 adults, 9,268 with co-occurrence of anxiety disorder and depression in the past year, from the combined 2008–2014 National Survey on Drug Use and Health (NSDUH) data, which are the latest datasets with measures of anxiety disorder and sleep apnea. Weighted multinomial logistic regression analyses were used to estimate the associations between anxiety disorder and depression and their co-occurrence. Comorbidity was highly prevalent: 40.4% of those with depression also met the criteria for anxiety disorder, whereas 51.8% of those with anxiety disorder also met the criteria for depression. The prevalences of anxiety only and co-occurrence increased from 2008 to 2014. The prevalences of anxiety disorder only, depression only, and co-occurrence of anxiety disorder and depression in individuals with sleep apnea were 4.4%, 12.9%, and 12.2%, respectively, and the prevalences in substance use disorders were 6.4%, 9.4%, and 10.7%, respectively. The results showed that sleep apnea, substance use disorders, and nicotine dependence were significantly associated with increased odds of anxiety disorder, depression, and co-occurrence (all p values < 0.0001). Furthermore, several chronic diseases (asthma, bronchitis, hypertension, and heart disease) were associated with the co-occurrence of anxiety disorder and depression. These findings suggest clinicians and other healthcare providers consider screening for depression and anxiety with sleep apnea and substance use disorders for improved therapeutic outcomes.