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Korabelnikova, E. A., and E. V. Yakovleva. "Panic disorder and sleep disorders." Meditsinskiy sovet = Medical Council, no. 12 (August 14, 2024): 62–69. http://dx.doi.org/10.21518/ms2024-276.
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Introduction. Panic disorder (PD) are common problems in both primary and psychiatric specialty care. PD includes panic attacks (PA). PA are characterized by a sudden wave of fear or discomfort or a sense of losing control even when there is no clear danger or trigger. PD is frequently comorbid with sleep disorders, especially insomnia, сlosely interrelated etiopatogenically and worsen each other’s flow.Aim. To evaluate the severity of the impact of sleep disturbances on the condition of patients with panic disorder and their dynamics during therapy.Materials and methods. The study included 46 patients including 26 with a PD and sleep disturbances, assigned to the main group, and 20 healthy patients. The study design included clinical, anamnestic and psychometric methods (Sheehan scale, State-T rait Anxiety Inventory (STAI)) and sleep quality scales (Pittsburgh Sleep Quality Index (PSQI), Spiegel questionnaire). Participants in the main group received psychoeducation and drug correction of PD (without the use of sedatives). A few months later, patients in the main group were re-tested.Results. The results of the study indicate an obvious dependence of manifestation of clinical manifestations of panic disorder (agoraphobia attachment) and emotional disorders on the degree of severity of accompanying insomnia. With PR treatment not focused on correcting sleep disorders, patients experienced not only statistically significant reductions in Shihan levels of anxiety and trait anxiety in the STAI, but also statistically significant improvements in sleep quality.Conclusion. Dependence of manifestation of clinical manifestations of panic disorder and emotional disorders on degree of manifestation of accompanying insomnia is shown. A panic disorder correction aimed at reducing anxiety led to a significant improvement in sleep subjectivity and psychometric testing.
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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 (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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Sack, Robert L., Dennis Auckley, R. Robert Auger, et al. "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 (2007): 1484–501. http://dx.doi.org/10.1093/sleep/30.11.1484.
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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 (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 (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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Salem, Ahmed Khalil Dahi 1. Wafa'a Ghazi Ahmed Nasser Abdullah Mohammed Almoabdi Saad Ali M. Asiri Njood obaid salem bazhair Reham Abdulrahman abdulhai Abdullah Ayah ali mohmmed Bayan Abdulrahman Alsultan Fatimah abdulwahab alhawaj Aqeel Ghassan AlHashim Nasser Saeed Nasser Alasmari Abdullah Khalaf A. Alshammari. "MANAGEMENT OF SLEEP DISORDER IN FAMILY PRACTICE." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 06, no. 01 (2019): 1571–76. https://doi.org/10.5281/zenodo.2545872.
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<strong><em>Introduction:</em></strong><em> Sleep disorders are very common and can affect sleep quality and quantity, which can cause increased morbidity. people with sleep disorders may be classified as those who can’t sleep, those who will not sleep, those with increased daytime sleepi­ness, and those with excessive movements during sleep. Generally, insomnia, defined as difficulty starting or preserving sleep that cause in daytime morbidness, is diagnosed depending on history findings and can be treated with cognitive behavior therapy, with or without sleep hypnotics. Restless legs syndrome is distinguished by an urge to move the legs that get worse with rest, get better by movement, and usually appears in the evening or at night. Restless legs syndrome treatment is managed depending on the frequency of symptoms. Narcolepsy is distinguished by the presence of increased sleepiness, cataplexy, sleep paralysis, and hypnagogic or hyp­nopompic hallucinations. The diagnosis is made using a sleep log or actigraphy, then by overnight polysomnography and a multiple sleep latency test. Narcolepsy can be treated with stimu­lants, like modafinil; selective serotonin reuptake inhibitors; or gamma hydroxybutyric acid (sodium oxybate). Individuals with snor­ing and witnessed apneas might have obstructive sleep apnea, which can be diagnosed by the use of overnight polysomnography. In fact, Continuous posi­tive airway pressure is one of the most common and efficient treatments for obstructive sleep apnea. Rapid eye movement sleep behavior disorder is distinguished by excessive muscle tone during rapid eye movement sleep, caused by the individual’s acting out dreams with potential hurtful outcomes. The diagnosis is made depending on history and polysomnog­raphy findings, and the treatment is with environmental safety measures and melatonin or clonazepam. </em> <strong><em>Aim of work: </em></strong><em>In this review, we will discuss management of sleep disorder in family practice</em> <strong><em>Methodology:</em></strong><em> We did a systematic search for Family management of sleep disorder in family practice using PubMed search engine (http://www.ncbi.nlm.nih.gov/) and Google Scholar search engine (https://scholar.google.com). All relevant studies were retrieved and discussed. We only included full articles.</em> <strong><em>Conclusions: </em></strong><em>Sleep disorders are very common and can affect sleep quality and quantity, which can cause increased morbidity. Individuals with sleep disorders might be classified into those who cannot sleep, those who will not sleep, those with increased day­time sleepiness, and those with excessive movements during sleep. Although a lot of sleep disorders could be diag­nosed depending on history alone, overnight poly somnography might be beneficial to detect disorders like obstructive sleep apnea (OSA). Near about 10 percent of the United States population has suffered from insomnia that occurred each night for at least 2 weeks; but many don't discuss this with their doctor.</em> <strong>Key words:</strong> <em>sleep disorder, presentation, complication, management, family practice</em>
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Chaij, Jasmine M., George Golovko, Juquan Song, et al. "123 Sleep Disorder Is Associated with Neuropsychological Disturbances in Burn Survivals." Journal of Burn Care & Research 43, Supplement_1 (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 &lt; 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&lt; 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&lt; 0.05). Anxiety-related disorders were also more than 3 times more likely in those who developed a sleep disorder after burn (p&lt; 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 (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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NAZANIN, RAZAZIAN, and REZAEI MANSOUR. "SLEEP DISORDERS." Professional Medical Journal 19, no. 04 (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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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 (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&lt;.007; t=3.13, p&lt;.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&lt;.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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Fulk, George D., Pierce Boyne, Makenzie Hauger, et al. "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 (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 (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&lt;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&lt;0.001), and 58% more likely to have a sustained sleep disorder (OR=1.58; 95%CI[1.40,1.77]; p&lt;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 (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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Zhong, Yuting, Ying Li, Maolin Zhong, Cheng Peng, Hui Zhang, and Kejun Tian. "Association between waist circumference and sleep disorder in the elderly: Based on the NHANES 2005–2018." PLOS ONE 19, no. 9 (2024): e0308860. http://dx.doi.org/10.1371/journal.pone.0308860.
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The existing data do not consistently support the link between elderly adults’ waist circumferences and sleep disorders. This study aimed to evaluate whether waist circumference was connected with sleep disorder in the elderly. This cross-sectional study utilized data from the 2005–2018 National Health and Nutrition Examination Survey (NHANES) regarding waist circumference, sleep disorders, and confounding factors. Included in the study were participants older than 60 who completed sleep questionnaires and waist circumference measurements. Using a multivariate logistic regression model and subgroup analyses, the relationship between waist circumference and sleep disorder was evaluated. To explore the non-linear relationship, restricted cubic spline (RCS) with three knots coupled with a logistic regression model to assess the dose-response relationship between waist circumference (continuous variables) and sleep disorder. A total of 2,545 (Weighted 14,682,916.3) elderly participants with complete information were included in the analysis and 312 (Weighted 1,777,137.8) subjects met the definition of sleep disorder. Compared with participants without sleep disorder, those with sleep disorder had a higher waist circumference (100.80 cm vs. 108.96 cm, P< 0.001). The results of the multivariable adjusted logistic regression model suggested that those in quartiles 4 (≥ 75th percentile) for their waist circumference had higher odds of sleep disorder [adjusted odds ratio (AOR) = 2.75, 95% confidence interval (CI) = 1.66–4.54, P < 0.001] compared with those in quartile 1. The RCS result showed that the OR of sleep disorder and waist circumference displayed a linear relationship (P <0.001, Non-linear P = 0.642). Age and gender subgroup analysis revealed comparable relationships between waist circumference and sleep disorder among elderly individuals. Waist circumference was associated with sleep disorders in the elderly. There was a dose-response relationship between waist circumference and the likelihood of sleep disorder. Those with a larger waist circumference were more likely to have a sleep disorder than those with a smaller waist circumference.
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Varghese, Bibin, and Sindhu Daniel. "Sleep Disorder Prediction using Machine Learning." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 1961–65. https://doi.org/10.21275/mr25420093532.
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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 (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 (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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Huang, Jing, Wenyan Zhuo, Yuhu Zhang, et al. "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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Millichap, J. Gordon. "Sleep Disorders in Attention Deficit Disorder." Pediatric Neurology Briefs 13, no. 9 (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 (2012): S58—S59. http://dx.doi.org/10.1016/j.neurenf.2012.05.234.
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Malow, Beth, and Angela Maxwell-Horn. "Sleep in Autism." Seminars in Neurology 37, no. 04 (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 (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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Brown, B., R. Adams, S. Wanstall, et al. "P075 Strategies to improve sleep disorder diagnosis and management in the workplace: Perspectives of future shift workers living with sleep disorders." Sleep Advances 4, Supplement_1 (2023): A63. http://dx.doi.org/10.1093/sleepadvances/zpad035.160.
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Abstract Shift workers with untreated sleep disorders face greater risk of negative health and safety outcomes. A population of particular concern is early-career shift workers, as 20% of young adults live with, largely undiagnosed, sleep disorders. This study aimed to explore what structures and qualities future shift workers would value in prospective workplaces regarding sleep disorder support and management. The study aims to inform the development of interventions that are acceptable to workers. Undergraduate paramedicine students were invited to complete an online survey and participate in a health services trial. The survey included validated sleep disorder screening questionnaires, with those identified at risk of a sleep disorder being offered further diagnostic testing or treatment. Participants completed a qualitative interview upon completion of the trial to discuss their experience and recommendations to improve screening and management of sleep disorders for shift workers. Seventeen paramedicine students (mean age 22.5±8.3 years, 59% female) with an undiagnosed sleep disorder were recruited into the trial. Early thematic analysis identified two key themes: Increasing education and awareness of sleep disorders and supporting access to health services. Almost half of the participants discussed the importance of increased awareness of sleep and sleep disorders during pre-employment training and in the workplace. Participants also identified convenience as an important factor in facilitating the management of sleep disorders. Facilitating access to sleep health services before workers are exposed to shift work and during early employment were suggested to improve sleep disorder identification and management for early-career shift workers.
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Geisser, Sophia, Ashley Fromenthal, Erick Carranza, Michelle Hilgeman, and A. Lynn Snow. "SLEEP DISORDERS AND THEIR IMPACTS ON OLDER ADULT SPOUSAL RELATIONSHIP." Innovation in Aging 8, Supplement_1 (2024): 66–67. https://doi.org/10.1093/geroni/igae098.0209.
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Abstract Aging is associated with biological and psychosocial impairments that affect individuals’ sleep and quality of life. Approximately half of older adults suffer from a sleep disorder. Daytime consequences such as fatigue, excessive sleepiness, irritability, mood swings, and/or cognitive difficulties may be present with sleep disorder diagnoses, impacting interpersonal relationships. There is limited research on associations between sleep disorder and spousal relationship quality in older adults. The need to expand the field of research in sleep disorders is urgent, as sleep disorder diagnoses are expected to rise with the growing older adult population. The objective of this presentation is to describe a conceptual model of sleep disorders and relationship quality informed by the Meikirch model of health: sleep disorders represent biologically given potential, relationship quality represents personally acquired potential, and the COVID-19 pandemic represents the environmental determinants of health. Applying this theoretical underpinning, the Health and Retirement Study data from 2020 was analyzed via simple linear regression analyses to assess the relationships between sleep disorders and perceived life satisfaction in spousal relationships. Results show that having a sleep disorder significantly predicted life satisfaction: F(1,4647) = 40.49, p &lt;.001. (b =.09, S.E. =.02, t = 6.36, p &lt;.001, 95%CI[.06,.13]); and having a sleep disorder significantly predicted perceived problems in spousal relationships: F(1,4560) = 15.49, p &lt;.001 (b = -.12, S.E. =.03, t = -3.94, p &lt;.001, 95%CI[-.17,.06]). Understanding sleep-related associations may inform interventions to promote well-being and life satisfaction for older adult couples.
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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 (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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Brown, B., R. Adams, S. Wanstall, et al. "P026 Feasibility and acceptability of a novel approach to sleep disorder screening and management for prospective shift workers." SLEEP Advances 3, Supplement_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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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 (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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Eni, Folendra Rosa, and Rustiaty Nelly. "Affective Disorders in the Elderly: the Risk of Sleep Disorders." International Journal of Public Health Science (IJPHS) 7, no. 1 (2018): 33~38. https://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.
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Padala, Ramesh* Patnala Vaishnavi Gayathri Aleena Maria Martin Barira Ummul Khair. "A Review Article on Circadian Rhythm and Effects of Cannabinoids for Sleep-Wake Disorders." International Journal of Scientific Research and Technology 1, no. 11 (2024): 159–68. https://doi.org/10.5281/zenodo.14206209.
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Sleep disorders, including circadian rhythm disruptions and sleep-wake cycle abnormalities, significantly impact mental and physical health. These conditions range from insomnia and delayed sleep-phase disorder to advanced sleep-phase disorder, non-24-hour sleep-wake rhythm disorder, and irregular sleep-wake rhythm disorder. The circadian rhythm, which is controlled by the hypothalamic master clock known as the suprachiasmatic nucleus (SCN), is at the heart of many sleep problems. The SCN synchronizes physiological and behavioral processes, such as hormone secretion and body temperature, aligning the body with the 24-hour day. Disruptions in this system, influenced by both internal and external factors, lead to a cascade of health issues, including neurodegenerative diseases, cognitive impairments, and psychological disturbances. Emerging research highlights the role of cannabinoids, particularly cannabidiol (CBD) and tetrahydrocannabinol (THC), in managing these disorders. These compounds interact with the endocannabinoid system, influencing sleep architecture, memory consolidation, and mood regulation. Cannabinoid-based therapies, such as nabilone and other synthetic analogs, have shown promise in treating sleep disorders, especially in alleviating symptoms of posttraumatic stress disorder (PTSD) and restless legs syndrome (RLS). This review delves into the physiological underpinnings of circadian and sleep-wake disorders and evaluates current treatments, including light therapy, melatonin supplementation, and cannabinoid-based interventions. Understanding the intricate balance between sleep, circadian rhythms, and emerging treatments can enhance therapeutic strategies, offering improved quality of life for those affected by these disorders.
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Liu, Gui-Ling, Qiu-Nan Zhan, You-Lu Zhao, et al. "Risk factors for sleep disorders in patients undergoing peritoneal dialysis." Sleep and Biological Rhythms 19, no. 3 (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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Syed, Rashid, Jasmine Chaij, Juquan Song, Steven Wolf, George Golovko, and Amina El Ayadi. "939 Impact of Sleep Disorders on Neurological Outcomes in Burn Survivors." Journal of Burn Care & Research 46, Supplement_1 (2025): S354. https://doi.org/10.1093/jbcr/iraf019.470.
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Abstract Introduction Burn injuries are traumatic events that severely impact patients socially, psychologically, and physically. Some burn survivors tend to have more arduous recoveries with lasting impacts long after the primary injury. Altered neurologic outcomes after burn have been reported in some studies; however, it is not clear what factors predispose certain burn patients to poor neurologic outcomes. We investigated the impact of primary sleep disorder after a burn injury on neurologic outcomes. Methods Using the TriNetX database, a large, federated research network of de-identified patient data, we identified patients with burns and compared those who developed a first-time sleep disorder after a burn to those who did not. Cohorts were propensity-matched by age, gender, race, ethnicity, and percent Total Body Surface Area (TBSA) burn. Excluding patients with pre-existing neurologic disorders, we evaluated new incidences of neurologic disorders including dementia, delirium, demyelinating disorders, seizures and epilepsy, migraines, mono- and polyneuropathies, and neurodegenerative disorders. Results Of the 657,108 burn patients identified in TriNetX, 62,667 patients developed a sleep disorder post-burn. The age of patients developing a sleep disorder post-burn were significantly older than those who did not (43.8 ± 21.4 vs. 30.2 ± 22.3, p &lt; 0.001). Neurodegenerative disorders were 2.29, 95% CI [2.21, 2.49] times more likely to occur if patients with burn injury developed a sleep disorder. Patients who developed a first-time sleep disorder after a burn showed a more than twofold increase in new neurologic diagnoses such as delirium, demyelinating disorder, migraines, neuropathies, and vascular dementia. Additionally, patients who developed a first-time sleep disorder were two times more likely to develop seizures and epilepsy 95% CI [1.83, 2.17] as well as unspecified dementia all with p=0.05. Most primary neurologic disorders occur later than 12 months after the onset of primary sleep disorder after a burn. Conclusions The development of a sleep disorder after primary burn injury significantly increases the risk of subsequent poor neurologic outcomes. The post-burn period is integral for adequate neurologic recovery, and we demonstrate the importance of sleep in that process. This study aims to emphasize the importance of adequate sleep in improving neurologic outcomes after a burn. Applicability of Research to Practice The majority of these disorders occurred more than 12 months after the onset of a primary sleep disorder after burn. This study underscores the long-term impact of burns and the integral role that sleep plays in neurologic recovery during the post-burn phase. We emphasize the importance of identifying and treating sleep disorders in burn survivors to mitigate poor neurologic outcomes. Funding for the Study Database funding by National Center for Advancing Translational Sciences
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Saletu-Zyhlarz, G., W. Prause, M. Aigner, et al. "CS03-03 - Sleep and sleep disorders in somatoform pain disorder." European Psychiatry 26, S2 (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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Jeevan Atmaram Pawar and Jeevan Atmaram Pawar. "Study of Sleep Disorders in Patients Attending Psychiatry OPD at Tertiary Care Centre of Maharashtra." International Journal of Contemporary Medicine 7, no. 1 (2019): 72–75. http://dx.doi.org/10.37506/ijocm.v7i1.1031.
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Total 95 psychiatric patients with sleep disorder were selected for the study, Among these patients 45(47.3%) had Insomnia, 10(10.5%) had hypersomnia, 25(26.3%) had parasomnia, 9(9.4%) had circadian rhythm sleep disorder, 6(6.3%) had periodic limb movement disorder, Clinical features of sleep disorder patients 26(27.3%) had depressed mood, 12(12.6%) had loss of interest or pleasure in daily activities, 7(7.3%) had change in appetite, 6(6.3% ) had fatigue, 14(14.7%) had feeling of guilt or worthlessness, 13(13.6%) had poor concentration or difficulty in making decision, 17(17.8%) had suicidal ideation. Diagnosis associated with sleep disorder patients were 17(17.8%) major depressive disorder, 10(10.5%) had generalized anxiety disorder, 11(11.5) had mixed anxiety depression, 7(7.3%) had paranoia, 9(9.4%) had hallucinations, 12(12.6%) had delusions, 4(4.2%) had post traumatic stress disorder, 13(13.6%) had mood disorder, 12(12.6%) were addicted to alcohol. This study of sleep disorder will be certainly helpful to psychiatrist to consider the prognosis and severity of psychiatric and neurotic problems, as in today’s competitive hurry and worry lifestyle majority of people are suffering with sleep disorders who ultimately succumb into some or the other psychiatric disorders.
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Krakow, Barry, Ali Artar, Teddy D. Warner, et al. "Sleep Disorder, Depression, and Suicidality in Female Sexual Assault Survivors." Crisis 21, no. 4 (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 (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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Byers, Amy, Emily Dolsen, Yixia Li, et al. "SLEEP DISORDERS AND RISK OF MID- TO LATE-LIFE SUICIDE ATTEMPT." Innovation in Aging 7, Supplement_1 (2023): 204. http://dx.doi.org/10.1093/geroni/igad104.0673.
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Abstract Sleep is a compelling target for suicide prevention in later life, as 50% of older adults experience sleep difficulties. The primary objective of the current study was to evaluate whether sleep disorders increase risk of late-life suicide attempt and death by suicide. We examined a nationally based cohort of over 5 million US veterans 50 years and older, who used Department of Veterans Affairs (VA) health services. Veterans with a sleep diagnosis (i.e., sleep apnea, insomnia, hypersomnia, and others) at baseline (October 1, 2011, to September 30, 2013) or earlier (October 1, 2007, to September 30, 2011) were propensity matched 1:1 with patients without these diagnoses based on demographic characteristics and Charlson Comorbidity Index (Total N=1,990,362; 995,181 each group). Secondary analyses examined psychiatric disorders as potential moderators. Fully adjusted models (additionally adjusted for psychiatric disorders) demonstrated that patients with sleep disorders had a 23% increased risk of any suicide attempt (HR 1.23, 95% CI [1.20-1.27]), while risk mitigated for lethality of attempt (HR 0.98, 95% CI [0.92-1.03]). Depression, PTSD, and generalized anxiety disorder were all approximately twice as prevalent among the sleep disorder group. Among veterans with a psychiatric disorder, any sleep disorder diagnosis was associated with a 28% increased risk for suicide attempt, which attenuated among those without a psychiatric diagnosis. In conclusion, sleep disorder diagnoses conferred increased risk for suicide attempt, especially in older adults with psychiatric disorders. These findings suggest that treatment of sleep disorders may mitigate risk of suicide attempts in older vulnerable veterans.
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Maria Lialiou. "The impact of sleep on neurodevelopmental disorders and the contribution of ICT in improving sleep quality in adolescents and adults." World Journal of Biology Pharmacy and Health Sciences 20, no. 2 (2024): 373–87. http://dx.doi.org/10.30574/wjbphs.2024.20.2.0878.
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Sleep is an essential process for the human body, contributing to the optimal functioning of the brain and the immune system, aiding in stress management, and overall enhancing quality of life. The relationship between sleep and neurodevelopmental disorders is bidirectional; sleep is influenced by specific disorders, while symptoms of these disorders are exacerbated by sleep problems. This article aims to explore the significance of sleep in the context of neurodevelopmental disorders such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and Specific Learning Disorder through a literature review. Additionally, the research concludes that leveraging Information and Communication Technology (ICT), such as virtual reality, digital cognitive behavioural therapy for insomnia (DCBT-I), smartphone applications, and the Internet of Things (IoT), can contribute to improving sleep quality in adolescents and adults.
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Paudyal, Sreya, Sanjeev Shah, Sanjeev Ranjan, and Sandip Subedi. "A study of sleep problems and its associated factors among patients presenting in psychiatry OPD at tertiary-level hospital in Nepal." Journal of Psychiatrists' Association of Nepal 12, no. 2 (2023): 3–7. http://dx.doi.org/10.3126/jpan.v12i2.63400.
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Background: Sleep disturbances amongst those with psychiatric disorders are quite common and may occur as a primary disorder or in association with any psychiatric disorders. The aim of this study is to find out the prevalence of sleep disorders and its associated factors in psychiatric outpatients. Material & Methods: This cross- sectional study was conducted among the patients presenting in the psychiatric opd, from 1st Feb 2022 to 30th July, 2022 in tertiary level hospital in Nepal. Total 217 samples were included and purposive sampling technique was applied for sample collection. After written informed consent from participants socio-demographic data were collected. Athens Insomnia scale (ASI) and Screening symptoms of sleep disorder(s) were the tools applied to the participants to find out types of sleep disorders. Results: In our study, sleep disorders were found in 66.8% of the patients presenting to psychiatric opd. Insomnia was the most common finding accounting for 59.4 % of the participants. Narcolepsy was found in 2.3% whereas parasomnia was found in 5.1 %; periodic limb movement disorder/Restless leg syndrome (PLMD/RLS) in 5.1%; disturbed circadian rhythm was found in 3.7% and Sleep Related Breathing Disorder was found in 5.1% of the participants. Patients diagnosed with mood disorder (80.4%) and primary headache disorders (82.9%) had more sleep problems compared to other diagnosis. Conclusion: This study was the first in Nepal to assess the prevalence of sleep disorders in psychiatric outpatients. Our study emphasis importance of careful evaluation of sleep problems for proper management of the psychiatric patients.
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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 (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 (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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Korabelnikova, E. A., and E. V. Yakovleva. "INSOMNIA IN PANIC DISORDER. LITERATURE REWIEW." International journal of Innovative Medicine, no. 2 (November 27, 2023): 4–9. http://dx.doi.org/10.33667/2782-4101-2023-2-4-9.
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Sleep disorders and panic disorder (PD) are often comorbid and closely interrelated. Sleep disorders aggravate the severity of panic disorder, and pathological anxiety worsens sleep. In this regard, the treatment of insomnia in patients with PD is aimed at harmonizing the emotional state and correcting sleep and, along with pharmacotherapy, includes a wide range of psychotherapeutic methods. Successful treatment of insomnia increases the effectiveness of PD therapy, reduces the likelihood of relapse and increases the susceptibility of patients to many anti-anxiety drugs.
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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 (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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Jupe, T., A. Roumpou, and K. Provi. "Sleep Disturbance in Bipolar Disorder. Treatment Implications." European Psychiatry 67, S1 (2024): S435. http://dx.doi.org/10.1192/j.eurpsy.2024.902.
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IntroductionRelationship between sleep and bipolar disorder involves the following aspects: decreased need for sleep is a fundamental marker of the manic state, sleep deprivation is one cause of mania and may in fact be a fundamental etiological agent in mania, total sleep time is a predictor of future manic episodes, and total sleep time may be a marker of response as well as a target of treatment in mania.ObjectivesThis e-poster aimed to summarize evidence regarding the sleep disturbance in Bipolar Disorder.MethodsBibliopgraphical review was performed using PubMed platform. All relevant articles were found using the keywords: sleep disturbance, bipolar disorder, mania.ResultsSleep disturbances are frequent in BD patients in different phases of illness, including the euthymic state and remission. These sleep aberrations are represented not only by insomnia but also by sleep–wake rhythm disorders, especially delayed sleep–wake phase disorders. During the manic state, most patients experience a reduced need for sleep and longer sleep onset latency. Likewise, in the depressive state, insomnia and hypersomnia are commonly observed. Meta-analyses of trials conducted on remitted BD patients demonstrated prolonged total sleep time, increased awakenings after sleep onset, greater variability of sleep–wake variables, and reduced sleep efficiency.ConclusionsOverall, all kinds of sleep disorders and parasomnias are very common especially in youth patients with BD. Thus, compared to the general population, youth with BD exhibit lower sleep efficiency, longer slow wave sleep, and reduced REM sleep, features that could affect the genesis and prognosis of the disorder. Sleep disturbances may also be used as predictors of the onset of BD in a subset of high-risk young subjects.Disclosure of InterestNone Declared
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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 (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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Siddiqui, Javed Ather, Ali Mahmoud Eldous, Shazia Farheen Qureshi, Hani Matrok Alotaibi, Sameh Hamdan, and Ali Ahmed Almahruqi. "THE PREVALENCE OF SLEEP DISORDERS AMONG SUBSTANCE ABUSERS ADMITTED TO DRUG DE-ADDICTION UNIT AT ERADAH AND MENTAL HEALTH COMPLEX, TAIF, SAUDI ARABIA." Journal of Psychiatry Psychology and Behavioral Research 6, no. 1 (2025): 7–13. https://doi.org/10.21776/ub.jppbr.2025.006.01.2.
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Introduction – Public health is affected by substance abuse, which is associated with high mortality and morbidity rates. A person who suffers from substance use disorder is more likely to suffer from insomnia. The health and social well-being of individuals and communities are adversely affected by these substances. Therefore, in recent years, research has become increasingly interested in the connection between substance abuse and sleep. The main objectives of this study are to evaluate the prevalence of sleep disorders; to investigate any relationship between sleep disorder and impact of sleep on daily functioning; to evaluate the socio-demographic profile; to find out the sleep disturbances caused by specific substances of abuse and to elucidate the relationship of sleep disturbances and substance use. Methods – Substance abusers with sleep disorders admitted to the hospital who met the inclusion and exclusion criteria were included in this study. The data was collected using sociodemographic information and a sleep 50 scale to interview subjects who are active substance abusers. The data was analyzed using SPSS software. Results – A high prevalence of sleep disorder was found in male group of patients. Among the 653 substance users, 643 (98.47%) were male and 10 (1.53%) were female. According to the survey, 284 (43.50%) of the participants reported abusing substances during their 25 to 30 years of age, following by 215 (32.92%) during their 18 to 24 years of age. In this study, various sleep disorders among drug addicts were systematically evaluated. Discuss – The prevalence of various sleep disorders in this population along with the prevalence in general population in parenthesis. These are as follows, sleep disorder was noted in 475 (72.74%) of the subjects, and 178 (27.26%) had without sleep disorder in Substance Abusers. Insomnia symptoms were highly prevalent 351(73.89%), followed by restless leg were reported in 157 (33.05%) of the subjects and lowest in circadian rhythm disorder 8 (1.68%). Conclusion – The incidence of substance abuse has grown dramatically over the last few decades and is affecting every aspect of society. Due to their wide availability, amphetamine and cannabis abusers were the most prevalent in our study, and sleep disorders, including insomnia, were the most prevalent. Keywords: sleep disorders, substance use, insomnia.
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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 (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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Mysliwiec, Vincent, Matthew Brock, Kristi Pruiksma, et al. "0325 A Comprehensive Evaluation of Sleep Disorders in Male and Female U.S. Military Personnel." Sleep 45, Supplement_1 (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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Raut, Aishwarya Deepak, and Bharati Dixit. "Sleep Apnoea Disorder." European Journal of Engineering Research and Science 5, no. 3 (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 (2020): 339–42. http://dx.doi.org/10.24018/ejeng.2020.5.3.1822.
Full textAbstract:
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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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 (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.