Correspondence to "association of sleep patterns and cardiovascular disease risk is modified by glucose tolerance status".

After reading the article written by Wang et al., we have encountered several concerns that may compromise the credibility of the article. There are some factors, such as changes in sleep patterns, glucose tolerance status, and the use of hypnotics, which may interfere with the research results. Additionally, the design of the sleep pattern could lead to biased outcomes. Therefore, we are writing this letter to recommend that further research should take these concerns into consideration.

Association between sleep quality and dry eye disease: a literature review and meta-analysis.

OBJECTIVE: The purpose of this article is to systematically review the association between dry eye and sleep quality. METHODS: PubMed, EMBASE, Cochrane, Web of Science, and grey literature databases were searched for observational studies published before April 2023. Meta-analysis was performed using STAT15 software. RESULTS: A total of 21 studies with 419,218 participants were included. The results showed that the dry eye subjects had a worse sleep quality than the healthy population, with poorer subjective sleep quality, longer sleep latency, and a higher risk of unhealthy sleep duration such as insufficient sleep or excessive sleep. The Pittsburgh Sleep Quality Index (PSQI) scores of the dry eye subjects were significantly higher than those of the control subjects (WMD = 1.78, 95%CI: 1.06, 2.50, P < 0.001). The dry eye subjects scored higher than the control subjects in sleep quality, sleep latency, and sleep disturbance in PSQI; there was no difference between the dry eye individuals and control subjects in sleep duration, sleep efficiency, daytime dysfunction, and sleep medication scores. The risk of sleep disorders in the dry eye subjects was significantly higher than that in the non-dry eye subjects (RR = 2.20, 95%CI: 1.78, 2.72, P < 0.001); the risk of insufficient sleep in the dry eye subjects was higher than that in the control subjects (RR = 3.76, 95%CI: 3.15, 4.48, P < 0.001), and the prevalence of excessive sleepiness in dry eye subjects was higher than that in the control subjects (RR = 5.53, 95%CI: 3.83, 7.18, P < 0.001). The ESS scores of the dry eye subjects were significantly higher than those of the control subjects (WMD = 3.02, 95%CI: 2.43, 3.60, P < 0.01). CONCLUSION: Our meta-analysis suggests that individuals with dry eye have a worse sleep quality than the healthy population, with poorer subjective sleep quality, longer sleep latency, and higher risk of unhealthy sleep duration such as insufficient sleep or excessive sleepiness.

Trastornos del sueño en niños con epilepsia / Sleep disorders in children with epilepsy

Introducción: Los niños con epilepsia tienen más trastornos del sueño (TS) que la población sana. Es fundamental su diagnóstico, ya que la epilepsia y los TS tienen una relación bidireccional. Objetivo: Determinar la incidencia de TS y malos hábitos de sueño en niños con epilepsia. Método: Estudio transversal de pacientes menores de 18 años con epilepsia sobre TS, mediante la versión española de Sleep Disturbance Scale for Children (SDSC), y sobre hábitos de sueño, mediante cuestionario de elaboración propia. Resultados: La muestra incluyó 153 pacientes. El 84% de la población estudiada presentaba alterado algún aspecto del sueño. Lo más frecuente fueron las alteraciones en la transición sueño-vigilia (53%), en el inicio-mantenimiento del sueño (47,7%) y la somnolencia diurna (44,4%). Un 70% de los padres de los pacientes referían que su hijo «dormía bien», pero en este grupo se detectaron TS hasta en el 75,7%. Muchos de los pacientes tenían hábitos de sueño poco saludables, como dormirse con dispositivos electrónicos (16,3%), precisar presencia familiar para dormirse (39%) o dormir en colecho o cohabitación (23,5 y 30,5%, respectivamente). Aquellos con epilepsias generalizadas, refractarias, crisis nocturnas y discapacidad intelectual presentaron mayor probabilidad de presentar TS. En cambio, los malos hábitos de sueño fueron frecuentes independientemente de las características de la epilepsia. Conclusiones: Los TS y los malos hábitos de sueño son frecuentes en niños con epilepsia. Su tratamiento puede conllevar una mejoría en la calidad de vida del paciente y su familia, así como una mejoría en el pronóstico de la epilepsia.(AU)

Introduction: Children with epilepsy present greater prevalence of sleep disorders than the general population. Their diagnosis is essential, since epilepsy and sleep disorders have a bidirectional relationship. Objective: Determine the incidence of sleep disorders and poor sleep habits in children with epilepsy. Methods: We conducted a cross-sectional study of patients under 18 years of age with epilepsy, assessing sleep disorders using the Spanish-language version of the Sleep Disturbance Scale for Children (SDSC), and sleep habits using an original questionnaire. Results: The sample included 153 patients. Eighty-four percent of our sample presented some type of sleep alteration. The most frequent alterations were sleep-wake transition disorders (53%), sleep initiation and maintenance disorders (47.7%), and daytime sleepiness (44.4%). In 70% of cases, the patients’ parents reported that their child “slept well,” although sleep disorders were detected in up to 75.7% of these patients. Many patients had poor sleep habits, such as using electronic devices in bed (16.3%), requiring the presence of a family member to fall asleep (39%), or co-sleeping or sharing a room (23.5% and 30.5%, respectively). Those with generalised epilepsy, refractory epilepsy, nocturnal seizures, and intellectual disability were more likely to present sleep disorders. In contrast, poor sleep habits were frequent regardless of seizure characteristics. Conclusions: Sleep disorders and poor sleep habits are common in children with epilepsy. Their treatment can lead to an improvement in the quality of life of the patient and his/her family, as well as an improvement in the prognosis of epilepsy.(AU)

Exploring associations with depressive and anxiety symptoms among Syrian patients with ankylosing spondylitis undergoing biological treatment: A cross-sectional study.

People with ankylosing spondylitis (AS) are vulnerable group to experience mood disorders. It is crucial to identify factors that contribute to depression and anxiety in order to improve outcomes. This study seeks to determine the rates of depression and anxiety in Syrian AS patients, as well as identify potential predictors for these conditions. This cross-sectional study was conducted using convenience sampling at the Biological Treatment Unit of the Rheumatology Department of the Damascus Hospital. Data were collected from face-to-face interviews with patients using validated structural questionnaire. A multivariate linear regression model was used to investigate potential predictive factors of depressive and anxiety symptoms. Of the 103 patients, 49.5% showed clinically significant depressive symptoms, and 36.9 % showed clinically significant anxiety symptoms. Multivariate linear regression indicated that depressive and anxiety symptoms were predicted by job layoff, hip pain, positive history of mental distress, poor quality of life, severe fatigue, and high frequency of sleep disturbance with relatively high explanatory powers. depressive and anxiety symptoms were predicted by disease activity scores but with low explanatory power. This study demonstrated high levels of that depressive and anxiety symptoms among Syrian patients with AS undergoing biological treatment. Poor quality of life, severe fatigue, and high-frequency sleep disturbances are major predictive factors for depressive and anxiety symptoms. Screening for depression and anxiety holds significant importance in the comprehensive management of ankylosing spondylitis even in the context of concurrent biological treatment administration.

Assessment of sleep disturbance in patients with Wilson's disease.

BACKGROUND: Wilson's disease (WD) is frequently manifested with anxiety, depression and sleep disturbance; this investigation aimed to elucidate these manifestations and identify the influencing factors of sleep disturbance. METHODS: Sleep disturbance, anxiety and depression were compared in 42 WD and 40 age- and gender-matched healthy individuals. 27 individuals indicated a neurological form of the disease (NV), and 15 had a non-neurological variant (NNV). RESULTS: This investigation revealed that the Parkinson's disease sleep scale (PDSS) score of WD individuals was lower, whereas their Epworth Sleepiness Scale (ESS), Pittsburgh sleep quality index (PSQI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD) scores were higher than the healthy individuals (p < 0.05). Furthermore, the WD subjects had markedly increased prevalence of poor sleep quality, anxiety, and depression than healthy individuals (p < 0.05). Subgroup analysis showed that NV subjects had significantly higher scores on the UWDRS, PSQI, HAMA, and HAMD scales than those in the NV group, as well as higher rates of EDS, anxiety, and depression (p < 0.05). In patients with sleep disturbance, we identified UWDRS, neurological variant, and depression as associated factors. The linear regression model demonstrated depression as the dominant risk factor. CONCLUSIONS: Depression is highly correlated with and is a determinant of sleep disturbance in WD patients.

Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder.

BACKGROUND: A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding of the occurrence and maintenance of GAD. We aim to obtain an exploratory conceptualization of temporal GAD network and identify the central symptom. METHODS: A sample of participants (n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in an online daily diary study in which they reported their GAD symptoms based on DSM-5 diagnostic criteria (eight symptoms in total) for 50 consecutive days. We used a multilevel VAR model to obtain the temporal network. RESULTS: In temporal network, a lot of lagged relationships exist among GAD symptoms and these lagged relationships are all positive. All symptoms have autocorrelations and there are also some interesting feedback loops in temporal network. Sleep disturbance has the highest Out-strength centrality. CONCLUSIONS: This study indicates how GAD symptoms interact with each other and strengthen themselves over time, and particularly highlights the relationships between sleep disturbance and other GAD symptoms. Sleep disturbance may play an important role in the dynamic development and maintenance process of GAD. The present study may develop the knowledge of the theoretical model, diagnosis, prevention and intervention of GAD from a temporal symptoms network perspective.

Sleep disorders cause Parkinson's disease or the reverse is true: Good GABA good night.

BACKGROUND: Parkinson's disease (PD) is a progressive neurodegenerative brain disease due to degeneration of dopaminergic neurons (DNs) presented with motor and non-motor symptoms. PD symptoms are developed in response to the disturbance of diverse neurotransmitters including γ-aminobutyric acid (GABA). GABA has a neuroprotective effect against PD neuropathology by protecting DNs in the substantia nigra pars compacta (SNpc). It has been shown that the degeneration of GABAergic neurons is linked with the degeneration of DNs and the progression of motor and non-motor PD symptoms. GABA neurotransmission is a necessary pathway for normal sleep patterns, thus deregulation of GABAergic neurotransmission in PD could be the potential cause of sleep disorders in PD. AIM: Sleep disorders affect GABA neurotransmission leading to memory and cognitive dysfunction in PD. For example, insomnia and short sleep duration are associated with a reduction of brain GABA levels. Moreover, PD-related disorders including rigidity and nocturia influence sleep patterns leading to fragmented sleep which may also affect PD neuropathology. However, the mechanistic role of GABA in PD neuropathology regarding motor and non-motor symptoms is not fully elucidated. Therefore, this narrative review aims to clarify the mechanistic role of GABA in PD neuropathology mainly in sleep disorders, and how good GABA improves PD. In addition, this review of published articles tries to elucidate how sleep disorders such as insomnia and REM sleep behavior disorder (RBD) affect PD neuropathology and severity. The present review has many limitations including the paucity of prospective studies and most findings are taken from observational and preclinical studies. GABA involvement in the pathogenesis of PD has been recently discussed by recent studies. Therefore, future prospective studies regarding the use of GABA agonists in the management of PD are suggested to observe their distinct effects on motor and non-motor symptoms. CONCLUSION: There is a bidirectional relationship between the pathogenesis of PD and sleep disorders which might be due to GABA deregulation.

Association of the combination of obstructive sleep apnea risk and sleep duration with ideal cardiovascular health metrics in patients undergoing hemodialysis.

BACKGROUND: The purpose of this study was to explore the separate and combined associations of obstructive sleep apnea (OSA) risk and sleep duration with ideal cardiovascular health metrics in hemodialysis (HD) patients. METHODS: 470 HD participants (average: 59.48 ± 12.89 y, 281 men) were included in this study. Sleep duration was measured as self-reported average sleep time during the previous month. The OSA risk was assessed using the STOP-BANG questionnaire. Participants were divided into three groups based on the number of ideal cardiovascular health (CVH) metrics: 0-2,3-4, and 5-7. Ordinal logistic regression was conducted to model the associations of CVH metrics with sleep duration, OSA risk, and their combined effects by adjusting for specific covariates. RESULTS: After adjusting for covariates, short sleep duration (< 7 h) (OR = 0.53; 95% CI [ 0.30, 0.92]) and OSA risk (OR = 0.58; 95% CI [0.32, 0.83]) were negatively associated with better CVH (ideal vs. intermediate; intermediate vs. poor), respectively. For HD patients with both short sleep duration and OSA risk, the odds of ideal CVH metrics were reduced by 72% (odds ratio 0.28 [95% CI 0.13, 0.60]). CONCLUSIONS: Short sleep duration and OSA risk are separately and jointly associated with poor CVH in hemodialysis patients. Suitable interventions for sleep may minimize the risk of developing cardiovascular disease.

Factors associated with sleep disturbances in children and adolescents with Angelman Syndrome.

BACKGROUND: Angelman Syndrome (AS) is a rare genetic disorder characterised by hyperactivity, overexcitability, developmental delays, and lack of speech. METHODS: This study used secondary data analysis to investigate sleep disturbances in children and adolescents (n = 212) who are enrolled in the Global Angelman Syndrome Registry. Participants were divided into two groups based on the presence or absence of sleep disturbance. The cut-off score of 40 on the Sleep Disturbance Scale for Children was used to indicate the presence or absence of sleep disturbances. Sleep disturbances and their association with co-occurring conditions were examined regarding challenging behaviour, language and communication, infancy history, gastrointestinal symptoms, and epilepsy. Multiple regression was then conducted to investigate possible predictors for sleep disturbances. RESULTS: Children and adolescents with AS, with and without sleep disturbances, differed considerably regarding anxiety. Sleep disturbances were significantly associated with an ability to use spoken words and computerised communication devices, and anxiety was a predictor of sleep disturbances. CONCLUSION: Future research is necessary to replicate this novel research, and to advance the clinical treatment of sleep disturbances in children and adolescents with AS.

The crucial role of locus coeruleus noradrenergic neurons in the interaction between acute sleep disturbance and headache.

BACKGROUND: Both epidemiological and clinical studies have indicated that headache and sleep disturbances share a complex relationship. Although headache and sleep share common neurophysiological and anatomical foundations, the mechanism underlying their interaction remains poorly understood. The structures of the diencephalon and brainstem, particularly the locus coeruleus (LC), are the primary sites where the sleep and headache pathways intersect. To better understand the intricate nature of the relationship between headache and sleep, our study focused on investigating the role and function of noradrenergic neurons in the LC during acute headache and acute sleep disturbance. METHOD: To explore the relationship between acute headache and acute sleep disturbance, we primarily employed nitroglycerin (NTG)-induced migraine-like headache and acute sleep deprivation (ASD) models. Initially, we conducted experiments to confirm that ASD enhances headache and that acute headache can lead to acute sleep disturbance. Subsequently, we examined the separate roles of the LC in sleep and headache. We observed the effects of drug-induced activation and inhibition and chemogenetic manipulation of LC noradrenergic neurons on ASD-induced headache facilitation and acute headache-related sleep disturbance. This approach enabled us to demonstrate the bidirectional function of LC noradrenergic neurons. RESULTS: Our findings indicate that ASD facilitated the development of NTG-induced migraine-like headache, while acute headache affected sleep quality. Furthermore, activating the LC reduced the headache threshold and increased sleep latency, whereas inhibiting the LC had the opposite effect. Additional investigations demonstrated that activating LC noradrenergic neurons further intensified pain facilitation from ASD, while inhibiting these neurons reduced this pain facilitation. Moreover, activating LC noradrenergic neurons exacerbated the impact of acute headache on sleep quality, while inhibiting them alleviated this influence. CONCLUSION: The LC serves as a significant anatomical and functional region in the interaction between acute sleep disturbance and acute headache. The involvement of LC noradrenergic neurons is pivotal in facilitating headache triggered by ASD and influencing the effects of headache on sleep quality.

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study.

This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

Cerebral palsy and sleep: nonpharmacological treatment and impact on the life of caregivers - an integrative review.

BACKGROUND: Children with cerebral palsy have a higher prevalence of sleep disorders, with numerous factors associated with a negative impact on the quality of life of caregivers. OBJECTIVE: To identify factors related to sleep disorders, nonpharmacological treatment, and the impact on the lives of caregivers. METHODS: The present literature review was carried out in the Latin American and Caribbean Center on Health Sciences Information (BIREME), the Cochrane Library, Scopus, PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, WorldCat, Web of Science, Latin American Literature on Health Sciences (LILACS), and Excerpta Medica Database (EMBASE), with the descriptors sleep, child, cerebral palsy, parents, and nursing. Studies available in Portuguese, English, or Spanish, published between 2010 and 2020, were our inclusion criteria. A total of 29 articles were included in the present review. RESULTS: We considered nonpharmacological interventions effective support measures to drug-based treatments. The main sleep disorders in children with cerebral palsy are insomnia, parasomnias, nightmares, sleep bruxism, sleepwalking, sleep talking, disorders of initiation and maintenance of sleep, and sleep hyperhidrosis. Most studies point to a reduction in the quality of life of caregivers whose children have sleep disorders. CONCLUSION: Our review suggests the effectiveness of nonpharmacological treatments combined with the use of medications. Measures such as changes in sleep environment and routine are favorable strategies to improve sleep quality. In addition, children with sleep disorders negatively impact the quality of life of their caregivers.

ANTECEDENTES: Crianças com paralisia cerebral apresentam maior prevalência de distúrbios do sono, com inúmeros fatores associados a um impacto negativo na qualidade de vida dos cuidadores. OBJETIVO: Identificar fatores relacionados aos distúrbios do sono, o tratamento não farmacológico e o impacto na vida dos cuidadores. MéTODOS: Esta revisão da literatura foi realizada no Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde (BIREME), Biblioteca Cochrane, Scopus, PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, WorldCat, Web of Science, Literatura Latino-Americana em Ciências da Saúde (LILACS) e Excerpta Medica Database (EMBASE), com os descritores sono, criança, paralisia cerebral, pais e enfermagem. Estudos disponíveis em português, inglês ou espanhol, publicados entre 2010 e 2020, foram nossos critérios de inclusão. Ao todo, 29 artigos foram incluídos nesta revisão. RESULTADOS: Consideramos as intervenções não farmacológicas medidas eficazes de apoio aos tratamentos medicamentosos. Os principais distúrbios do sono em crianças com paralisia cerebral são: insônia, parassonias, pesadelos, bruxismo do sono, sonambulismo, falar dormindo, distúrbios de iniciação e manutenção do sono e hiperidrose do sono. A maioria dos estudos aponta redução na qualidade de vida de cuidadores de crianças com distúrbios do sono. CONCLUSãO: Nossa revisão sugere a eficácia de tratamentos não farmacológicos combinados com o uso de medicamentos. Medidas como mudanças no ambiente e na rotina do sono são estratégias favoráveis para melhorar a qualidade do sono. Além disso, crianças com distúrbios do sono provocam impactos negativos na qualidade de vida de seus cuidadores.

The Impact of Sleep Quality on Cognitive Function in Patients with Chronic Subjective Tinnitus.

BACKGROUND: The aim of this study was to explore the impact of sleep quality on cognitive function in patients with chronic subjective tinnitus. METHODS: The Pittsburgh Sleep Quality Index (PSQI) and the Montreal Cognitive Assessment Scale (MoCA) were used to assess sleep quality and cognitive function in patients with chronic subjective tinnitus, sleep disorder patients (SD), and normal controls (NC). The tinnitus evaluation questionnaire (TEQ) and tinnitus loudness were used to assess the severity in patients with chronic subjective tinnitus. Tinnitus patients were divided into two groups based on PSQI results: "tinnitus with sleep disorder (TwSD)" and "tinnitus without sleep disorder (TnSD)." The MoCA scores in TwSD and TnSD groups were compared with those in SD and NC groups, and the correlation between PSQI, TEQ, tinnitus loudness, and MoCA scores in subjective tinnitus patients were analyzed. RESULTS: Whether TwSD group or TnSD group, the MoCA score was significantly lower than those in the NC group and SD group. Meanwhile, there was no significant difference between TwSD and TnSD groups in MoCA score, and PSQI, TEQ, and tinnitus loudness were not significantly correlated with MoCA. CONCLUSION: Subjective tinnitus may be an independent risk factor for cognitive impairment. The underlying neural mechanisms between subjective tinnitus, sleep disorders, and cognitive impairment need to be further explored and clarified.

Sleep problems in a population-based cohort of primary school age children with Cerebral Palsy.

AIMS: To examine sleep problems in a population-based sample of school-aged children (8-12yo) with Cerebral Palsy (CP) METHOD: Eighty-six children (mean 9 years, 5 months, SD = 1 year, 6 months; male = 60) with CP (Gross Motor Function Classification System; GMFCS I=46; II=21; III=9; IV=6; V=6) participated. Classifications/assessments included: Sleep Disturbance Scale for Children (SDSC), Gross Motor Function Measure (GMFM-66), Manual Ability Classification System (MACS), Communication Function Classification System (CFCS), Strengths and Difficulties Questionnaire (SDQ) and the Cerebral Palsy- Quality of Life (CP-QOL) Pain Impact subscale. Analysis included linear and logistic regression. RESULTS: 38 (44 %) children were within the clinical range for sleep problems. Sleep problems were significantly associated with epilepsy, (95 % CI) = 14.48 (7.95 to 21.01), gross motor function, -0.13 (-0.26 to -0.01), manual ability, 7.26 (0.82 to 13.69), communication, 10.01 (2.21 to 17.80), child behaviour, 1.134 (0.74 to 1.53), and pain related QOL, 0.33 (0.12 to 0.53). For the multivariable model, sleep problems remained significantly associated with epilepsy, b (95 % CI) = 11.72 (4.88 to 18.57), child behaviour, 1.03 (0.65 to 1.41) and pain-related QOL, 0.21 (0.29 to 0.38). CONCLUSIONS: Sleep problems are common and associated with epilepsy, child behaviour and pain related QOL.

Linking activity dyshomeostasis and sleep disturbances in Alzheimer disease.

The presymptomatic phase of Alzheimer disease (AD) starts with the deposition of amyloid-ß in the cortex and begins a decade or more before the emergence of cognitive decline. The trajectory towards dementia and neurodegeneration is shaped by the pathological load and the resilience of neural circuits to the effects of this pathology. In this Perspective, I focus on recent advances that have uncovered the vulnerability of neural circuits at early stages of AD to hyperexcitability, particularly when the brain is in a low-arousal states (such as sleep and anaesthesia). Notably, this hyperexcitability manifests before overt symptoms such as sleep and memory deficits. Using the principles of control theory, I analyse the bidirectional relationship between homeostasis of neuronal activity and sleep and propose that impaired activity homeostasis during sleep leads to hyperexcitability and subsequent sleep disturbances, whereas sleep disturbances mitigate hyperexcitability via negative feedback. Understanding the interplay among activity homeostasis, neuronal excitability and sleep is crucial for elucidating the mechanisms of vulnerability to and resilience against AD pathology and for identifying new therapeutic avenues.

Mechanisms of sleep disturbances in long-term cancer survivors: a childhood cancer survivor study report.

BACKGROUND: Sleep problems following childhood cancer treatment may persist into adulthood, exacerbating cancer-related late effects and putting survivors at risk for poor physical and psychosocial functioning. This study examines sleep in long-term survivors and their siblings to identify risk factors and disease correlates. METHODS: Childhood cancer survivors (≥5 years from diagnosis; n = 12 340; 51.5% female; mean [SD] age = 39.4 [9.6] years) and siblings (n = 2395; 57.1% female; age = 44.6 [10.5] years) participating in the Childhood Cancer Survivor Study completed the Pittsburgh Sleep Quality Index (PSQI). Multivariable Poisson-error generalized estimating equation compared prevalence of binary sleep outcomes between survivors and siblings and evaluated cancer history and chronic health conditions (CHC) for associations with sleep outcomes, adjusting for age (at diagnosis and current), sex, race/ethnicity, and body mass index. RESULTS: Survivors were more likely to report clinically elevated composite PSQI scores (>5; 45.1% vs 40.0%, adjusted prevalence ratio [PR] = 1.20, 95% CI = 1.13 to 1.27), symptoms of insomnia (38.8% vs 32.0%, PR = 1.26, 95% CI = 1.18 to 1.35), snoring (18.0% vs 17.4%, PR = 1.11, 95% CI = 1.01 to 1.23), and sleep medication use (13.2% vs 11.5%, PR = 1.28, 95% CI = 1.12 to 1.45) compared with siblings. Within cancer survivors, PSQI scores were similar across diagnoses. Anthracycline exposure (PR = 1.13, 95% CI = 1.03 to 1.25), abdominal radiation (PR = 1.16, 95% CI = 1.04 to 1.29), and increasing CHC burden were associated with elevated PSQI scores (PRs = 1.21-1.48). CONCLUSIONS: Among survivors, sleep problems were more closely related to CHC than diagnosis or treatment history, although longitudinal research is needed to determine the direction of this association. Frequent sleep-promoting medication use suggests interest in managing sleep problems; behavioral sleep intervention is advised for long-term management.

Risk stratification for frailty, impairment and assessment of sleep disorders in community-dwelling older adults.

BACKGROUND: Frailty is associated with an increased susceptibility to functional decline, impairment, hospitalization, and mortality among the older adults. However, the potential reversibility of frailty lies in identifying modifiable factors that could prevent, mitigate, or interrupt its progression. While there is a suggestion that sleep disorders may increase the risk of frailty and impairment, the risk stratification of this relationship remains inconclusive. OBJECTIVE: Stratify the risk of frailty and impairment and investigate potential connections with sleep quality, excessive daytime sleepiness, and the risk of obstructive sleep apnea in older adults dwelling in the community. METHODS: This was a quantitative cross-sectional investigation. Frailty risk and impairment were stratified using the Frail Non-disabled Questionnaire (for impairment) and the FRAIL Scale (for Frailty). The assessment of excessive daytime sleepiness, sleep quality, and the risk of obstructive sleep apnea involved the employment of the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, and the STOP-BANG questionnaire, respectively. RESULTS: A total of 109 older adults living in the urban area (86 %, p = 0.010), females (61 %; p = 0.030), median age 68 (64-75) years, with overweight (36 %, p < 0.010) and self-identified as belonging to other racial or ethnic categories (71 %, p < 0.010). According to the impairment assessment, 32 % of participants were classified as disable (p < 0.01). Conversely, as per the frailty evaluation, 33 % were pre-frail and 25 % were identified as frail. Additionally, a substantial proportion experienced poor sleep quality (80 %, p = 0.010), exhibited a moderate risk of obstructive sleep apnea (49 %, p < 0.010), and showed no signs of excessive daytime sleepiness (62 %, p < 0.010). There was a modest correlation between frailty and impairment with poor sleep quality (rho = 0.39; p < 0.001) and the risk of obstructive sleep apnea (rho = 0.26; p = 0.000). However, the was no significant relationship was observed between frailty and impairment and excessive daytime sleepiness (rho = 0.04; p = 0.660). Similarly, a modest correlation was observed between sleep quality (rho = 0.33; p < 0.001), the risk of obstructive sleep apnea (rho = 0.27; p = 0.001), and frailty. Conversely, no correlation was found with excessive daytime sleepiness (rho = 0.05; p = 0.590). Also, the poor sleep quality and the risk of obstructive sleep apnea explain 14 % of the risk of frailty in the population of community-dwelling older adults (r2 = 0.14; p = 0.04). CONCLUSION: This study reveals a modest risk of frailty and impairment with sleep quality and the risk of obstructive sleep apnea, but not with excessive daytime sleepiness in community-dwelling older adults.

Chronic Low Back Pain and Sleep Disturbance in Adults in the US: The NHANES 2009-2010 Study.

BACKGROUND: Chronic low back pain (CLBP) is a significant health challenge with a high prevalence rate. Sleep disorders, which are prevalent among adults, have been linked with CLBP. However, the intricate relationship between sleep and pain adds complexity to our understanding of CLBP. OBJECTIVES: To investigate the association between CLBP and sleep disorders, with a focus on the potential role of sleep disorders as a risk factor for CLBP. STUDY DESIGN: Cross-sectional study based on publicly available data from the National Health and Nutrition Examination Survey (NHANES) for one cycle (2009-2010). SETTING: The NHANES employs a complex, multistage probability sampling design to select a nationally representative sample. METHODS: In this study, we included patients aged 20 to 69 years from the NHANES 2009-2010 cycle. After eliminating cases with missing data, a total of 863 patients remained. Baseline characteristics were analyzed by stratifying patients based on their CLBP status to assess initial inter-group disparities. Due to age imbalances between groups, we employed a 1:1 propensity score matching (PSM) method, reducing the sample to 508 patients. The association between CLBP and trouble sleeping was investigated following this calibration using a multivariate logistic regression analysis. RESULTS: Upon categorizing the baseline characteristics of 863 patients based on CLBP, we identified that those within the CLBP group tended to be older and had a greater prevalence of health conditions, including cancer, hypertension, and cardiovascular disease (CVD). Notably, the prevalence of sleep disorders was higher in the CLBP group than in the non-CLBP group (P < 0.001). After implementing an age-based PSM for the 2 groups, 508 patients were selected from the initial 863 patients. After adjusting for various confounders using multivariate logistic regression, our analysis revealed a strong association between sleep disorders and an increased risk of CLBP. LIMITATIONS: This is a cross-sectional study, and therefore causality cannot be established. CONCLUSIONS: This study underscores the significant association between sleep disorders and an elevated risk of CLBP, highlighting the need for comprehensive management strategies that consider the role of sleep disorders in CLBP.

Fatigued but not sleepy? An empirical investigation of the differentiation between fatigue and sleepiness in sleep disorder patients in a cross-sectional study.

OBJECTIVE: Sleepiness and fatigue are common complaints among individuals with sleep disorders. The two concepts are often used interchangeably, causing difficulty with differential diagnosis and treatment decisions. The current study investigated sleep disorder patients to determine which factors best differentiated sleepiness from fatigue. METHODS: The study used a subset of participants from a multi-site study (n = 606), using a cross-sectional study design. We selected 60 variables associated with either sleepiness or fatigue, including demographic, mental health, and lifestyle factors, medical history, sleep questionnaires, rest-activity rhythms (actigraphy), polysomnographic (PSG) variables, and sleep diaries. Fatigue was measured with the Fatigue Severity Scale and sleepiness was measured with the Epworth Sleepiness Scale. A Random Forest machine learning approach was utilized for analysis. RESULTS: Participants' average age was 47.5 years (SD 14.0), 54.6% female, and the most common sleep disorder diagnosis was obstructive sleep apnea (67.4%). Sleepiness and fatigue were moderately correlated (r = 0.334). The model for fatigue (explained variance 49.5%) indicated depression was the strongest predictor (relative explained variance 42.7%), followed by insomnia severity (12.3%). The model for sleepiness (explained variance 17.9%), indicated insomnia symptoms was the strongest predictor (relative explained variance 17.6%). A post hoc receiver operating characteristic analysis indicated depression could be used to discriminate fatigue (AUC = 0.856) but not sleepiness (AUC = 0.643). CONCLUSIONS: The moderate correlation between fatigue and sleepiness supports previous literature that the two concepts are overlapping yet distinct. Importantly, depression played a more prominent role in characterizing fatigue than sleepiness, suggesting depression could be used to differentiate the two concepts.