Poor Sleep Quality in Jamaican Adults With Sickle Cell Disease: Prevalence, Risk Factors, and Association With Quality of Life.

Poor sleep and chronic illnesses have a bidirectional relationship where presence of one can worsen the other. Sickle cell disease (SCD) is associated with significant morbidity and early mortality. In this study, we examine sleep quality, its predictors, and its association with quality of life in Jamaican adults with SCD. This cross-sectional study evaluated 177 well adult SCD patients for sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and quality of life using the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me). Multiple linear regression models examined the predictors of poor sleep quality. The mean global PSQI score was 6.9 (SD 4.2) with 56.5% having poor sleep quality. Women had significantly worse scores for sleep efficiency (p 0.005), sleep latency (p 0.03) and higher use of sleeping medications (p 0.02). Those overweight/obese had significantly worse subjective sleep quality (p 0.001) and sleep efficiency (p 0.05). In multivariate regression analysis, overweight individuals had poorer sleep quality (OR: 2.9; 95% C.I.: 1.07, 7.88) than those with normal weight whereas those unemployed and looking for a job had lower prevalence of poor sleep quality (OR 0.2; 95% C.I.: 0.05, 0.77) compared to employed individuals. Participants with good sleep quality had significantly better functioning in all 5 domains of the ASCQ-Me. In conclusion, persons with SCD who are overweight or obese are at increased risk of poor sleep which can negatively affect quality of life. Patient populations and healthcare providers will need to manage the emerging burden of overweight/obesity.

Effects of resistance training on sleep quality and disorders among individuals diagnosed with cancer: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Sleep disorders are often complained by cancer patients and can last years after the end of therapies, leading to different negative consequences. Non-pharmacological strategies such as exercise interventions may be considered to counteract this phenomenon. The literature supports the beneficial effects of aerobic training (AT), while evidence on resistance training (RT) is scarce. Accordingly, our systematic review aims to investigate the potential novel effect of RT on sleep outcomes in cancer survivors. METHODS: The literature search was conducted on MEDLINE (Pubmed), Web of Science, Scopus, and Cochrane Central Register of Controlled Trials databases, including only randomized controlled trials (RCTs). The screening procedure was conducted using the web-based software COVIDENCE. Sleep outcomes assessed through self-reported questionnaires or objective sleep measurements were extracted from RCTs recruiting cancer survivors of any age and gender, on or off treatment. The risk of bias (RoB) for each study was assessed using the Cochrane RoB 2 tool for RCTs. Meta-analytic syntheses were performed on sleep quality and insomnia. RESULTS: A total of 21 studies were included in the review. Considering the mean percentage differences of all studies combined, promising positive results were found after combined aerobic and resistance exercise program (COMB) for sleep quality (-19%) and sleep disturbance (-17.3%). The meta-analysis results showed significant improvement for both sleep quality and insomnia (d = 0.28, SE: 0.11, Z = 2.51, p < 0.01, 95% CI: 0.07-0.49 and d = 0.43, SE: 0.20, Z = 2.18, p = 0.029, 95% CI: 0.07-0.49, respectively). CONCLUSION: RT interventions of 60 minutes per session, performed 2-3 times a week for 12 weeks, with exercise intensity ranging from 60% to 80% of one-repetition maximum can be administered to cancer survivors, aiming to improve sleep outcomes.

Stress and Coping in Patients With Cancer With Depression and Sleep Disturbance.

OBJECTIVES: To evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and use of various coping strategies among five groups (no depression or sleep disturbance, no depression and moderate sleep disturbance, subsyndromal depression and very high sleep disturbance, moderate depression and moderate sleep disturbance [Both Moderate]; and high depression and very high sleep disturbance [Both High]). SAMPLE & SETTING: Patients (N = 1,331) receiving chemotherapy were recruited from outpatient oncology clinics. METHODS & VARIABLES: Measures of global, cancer-specific, and cumulative life stress, resilience, and coping were obtained. Differences were evaluated using parametric and nonparametric tests. RESULTS: Global and cancer-specific stress scores increased as joint profiles worsened. Both Moderate and Both High classes had cancer-specific stress scores suggestive of post-traumatic stress. Both Moderate and Both High classes reported higher occurrence rates for several stressful life events and higher use of disengagement coping. Both Moderate and Both High classes had resilience scores below the normative score for the United States. IMPLICATIONS FOR NURSING: Clinicians need to screen vulnerable patients for post-traumatic stress disorder and implement interventions to reduce stress.

Evaluation of risk factors related to sleep disorders in patients undergoing hemodialysis using a nomogram model.

This study aimed to investigate the risk factors related to sleep disorders in patients undergoing hemodialysis using a nomogram model. A cross-sectional survey was conducted in a hospital in Zhejiang province, China from January 1, 2020, to November 31, 2022 among patients undergoing hemodialysis. Dietary intake was assessed applying a Food Frequency Questionnaire. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index. Evaluation of risk factors related to sleep disorders in patients undergoing hemodialysis was using a nomogram model. This study included 201 patients and 87 individuals (43.3%, 87/201) exhibited sleep disorders. The average age of included patients was 51.1 ±â€…9.0 years, with males accounting for 55.7% (112/201). Results from nomogram model exhibited that potential risk factors for sleep disorders in patients undergoing hemodialysis included female, advanced age, increased creatinine and alanine aminotransferase levels, as well as higher red meat consumption. Inversely, protective factors against sleep disorders in these patients included higher consumption of poultry, fish, vegetables, and dietary fiber. The C-index demonstrated a high level of discriminative ability (0.922). This study found that age, sex, and dietary factors were associated with sleep disorders in hemodialysis patients. Hemodialysis patients with sleep disorders require urgent dietary guidance.

Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis.

PURPOSE: Research on symptom clusters in oncology is progressing, but knowledge gaps remain. One question is whether the number and types of symptom subgroups (i.e., latent classes) differ based on cancer diagnosis. The purpose of this study was to: (1) identify and compare latent class subgroups based on four highly prevalent symptoms (pain, fatigue, sleep disturbance, and depression), and (2) examine the differences in sociodemographic and clinical factors in the identified latent classes across the seven cancer types (i.e., prostate, non-small cell lung, non-Hodgkin's lymphoma, breast, uterine, cervical, and colorectal cancer). METHODS: This study is a cross-sectional secondary analysis of data obtained from the My-Health study in partnership with four Surveillance, Epidemiology, and End Results (SEER) cancer registries located in California (two), Louisiana, and New Jersey. The sample included 4,762 cancer survivors 6-13 months following diagnosis of one of the seven cancer types mentioned. Latent class profile analysis was used. RESULTS: Subjects were primarily young (59% age 21-64 years), Caucasian (41%), married/cohabitating (58%) and unemployed (55%). The number and types of symptom subgroups varied across these seven cancer populations: four-subgroups were the common in prostate, lung, non-Hodgkin's lymphoma, and breast cancer survivors. Unmarried, low education, and unemployment status were associated with high risk of symptom burden across the cancer types. CONCLUSION: Identifying symptom subgroups by cancer diagnosis has the potential to develop innovative and effective targeted interventions in cancer survivors. Further research is needed to establish extensive knowledge in symptom clustering between treatment regimens, and short-term and long-term cancer survivors.

A cross-sectional study of sleep disturbance among middle-aged cancer patients at Vietnam National Cancer Hospital.

AIM: Sleep disorders are common in cancer patients and have negative consequences for patient well-being and treatment outcomes. This study aimed to investigate sleep quality and related factors in Vietnamese middle-aged cancer patients. METHODS: A cross-sectional study was conducted on 246 middle-aged in-patient cancer patients at Vietnam National Cancer Hospital (VNCH) from 1/2021 to 7/2021. Sleep was measured by the Pittsburgh Sleep Quality Index (PSQI), with a cutoff of 5. RESULTS: The results showed a male/female ratio of 0.85 with an average age of 52. The five most prevalent cancer types were breast, colorectal, lung, and esophagus-stomach cancer, primarily in the late stage and treated with chemotherapy. The prevalence of sleep disturbances was 58.5%. The mean PSQI score was 7.5, with sleep duration and latency of 5.4 h and 1 h, respectively. Approximately 44% of participants reported poor sleep quality, nearly 9% had daytime dysfunction, and 10.6% used sleep medication. The multivariate logistic regression results indicate that people with depression were 8.89 times more likely to have poor sleep than those without depression (95% CI:2.63-28.27, p < .001). CONCLUSION: Sleep problems are common among middle-aged people with cancer in Vietnam, especially individuals with depression. It is necessary to have more effective approaches to sleep management for cancer patients with limited resources.

Sleep Quality and Associated Factors Among Survivors of Breast Cancer: From Diagnosis to One Year Postdiagnosis.

OBJECTIVES: To examine sleep quality and self-reported causes of sleep disturbance among patients with breast cancer at diagnosis and one year later. SAMPLE & SETTING: 486 of 606 patients with histologically confirmed breast cancer completed a Pittsburgh Quality Sleep Index (PSQI) survey at the time of diagnosis and again one year later. METHODS & VARIABLES: In this secondary data analysis, descriptive statistics were computed for seven PSQI components and its global score. Wilcoxon signed-rank tests and McNemar's tests were used. Self-reported reasons for sleep disturbances were summarized. RESULTS: PSQI scores significantly increased from baseline (mean = 6.75) to one-year follow-up (mean= 7.12), indicating worsened sleep. Sleep disturbance and onset latency scores increased, whereas sleep efficiency decreased. The two most frequently reported reasons for sleep disturbance were waking up late in the night or early in the morning (more than 50%) and needing to use the bathroom (49%). Feeling too hot and experiencing pain three or more times per week were reported by participants at baseline and one year later. IMPLICATIONS FOR NURSING: Results can aid in monitoring patient response to treatment methods and formulating benchmarks to manage sleep problems.

The Effect of Progressive Muscle Relaxation Exercises on Sleep Quality in Cancer Patients Undergoing Chemotherapy: A Randomized Controlled Study.

OBJECTIVES: This study aimed to evaluate the effect of progressive muscle relaxation exercises (PMRE) on sleep quality in patients undergoing chemotherapy treatment and experiencing disturbed sleep. METHODS: The prospective randomized controlled study was conducted between March and September 2022 with 69 patients (intervention group: 34 patients, control group: 35 patients) in a hospital chemotherapy unit. During the data collection process, the "Personal Information Form" and "Pittsburgh Sleep Quality Index (PSQI)" were utilized. Patients in the intervention group performed PMRE twice a day for 8 weeks. Patients in the control group received routine care at the clinic without additional intervention. For data analysis, Student's t-test, Mann-Whitney U test, Fisher's exact test, and chi-square test were used. RESULTS: The sociodemographic attributes of patients within both the intervention and control groups exhibited comparability. However, notable distinctions emerged in the PSQI Global sleep score and PSQI subdimension scores, encompassing sleep latency and duration, subjective sleep quality, habitual sleep efficiency, sleep disturbance, and daytime dysfunction between the two groups. The study found a notable difference in scores between the patients in the intervention group and those in the control group. The patients who received the intervention had significantly lower scores (P < .001). CONCLUSION: The study revealed that PMRE was beneficial in improving sleep quality in cancer patients undergoing chemotherapy who had poor sleep quality. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses may consider using PMRE to improve the sleep quality of cancer patients receiving chemotherapy.

Melatonin and melatonin receptor agonists in the treatment of nocturia: A systematic review.

AIM: Causes of nocturia may extend beyond primary bladder pathology and it has been commonly associated as a side effect of sleep disorders. This has led to the study of melatonin and melatonin receptor agonists as a primary treatment for nocturia hypothesized to be secondary to sleep disorders. We aim to systematically review the efficacy and reported safety of melatonin and melatonin receptor agonists in the treatment of nocturia. METHODS: A search strategy of EMBASE and Pubmed/Medline databases was utilized to identify eligible studies. Two thousand and twenty-eight unique references were identified in concordance with the Preferred Reporting Items of Systematic Reviews and Meta-Analyses guidelines for systematic reviews, of which nine papers met the inclusion criteria. The Cochrane Collaboration risk of bias criteria in the open label and nonplacebo studies was used to assess bias. RESULTS: The nine studies identified included 3 randomized double-blinded placebo-controlled trials, 2 randomized non-placebo trial, and 4 prospective open-label trials. Three utilized the melatonin-receptor agonist ramelteon (8 mg) and six utilized melatonin (four 2 mg extended release, two 2 mg normal release). Nocturia improved in 8 studies varying from moderate to low efficacy related to reduction in nocturia episodes. Five studies evaluated sleep parameters finding improvement in both nocturia and sleep quality. Male subjects represented 76.8% of 371 total subjects in prospective and randomized trials. Ramelteon and melatonin were both reported as well tolerated during nocturia treatment. A meta-analysis was not able to be performed due to the heterogeneity of bladder diagnoses. CONCLUSIONS: At this time, there is insufficient evidence to routinely recommend melatonin as an effective treatment for nocturia given the limitations of current clinical studies. Randomized placebo-controlled trials and prospective open label studies in non-neurogenic populations report a trend towards nocturia improvement with good tolerability and rare side effects. Therefore, further larger scale randomized trials with focused urologic diagnoses in well-characterized patient populations are warranted.

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.

Sleep disturbances in children and adolescents with type 1 diabetes mellitus: Prevalence, and relationship with diabetes management.

OBJECTIVE: A decline in sleep quality and regularity has been reported in patients with type 1 diabetes mellitus (T1D) in many studies. However, research on medical-based sleep disorders in patients with T1D is limited. Diagnosing sleep disorders is crucial, as it negatively impacts academic performance, cardiovascular health, and cognitive functions among children as well as essential skills for effective diabetes management. Our objective was to assess sleep disturbances in patients diagnosed with T1D and explore whether these patients experience significantly more sleep disturbances compared to their healthy peers. METHODS: This study, designed as a cross-sectional case-control investigation, involved a cohort of 250 participants (144 T1D, 106 control cases) aged 6-15 years. The Sleep Disturbance Scale for Children (SDCS) scores of the T1D group were compared with those of the control group. Furthermore, the study explored the correlation between clinical/biochemical parameters and SDCS scores within the T1D group. RESULTS: The mean age of individuals in the T1D group was 10.27 ± 3.25 years, while the control group had a comparable mean age of 10.48 ± 3.5 years (P = 0.303). Within the T1D group, the median duration of diabetes was 5 (1-15) years, and the median glycosylated hemoglobin A1c (HbA1c) level for the past one year was 8.4 %. Although there was no significant difference in total SDSC scores between the T1D and control groups, both groups exhibited average scores that remained close to the threshold indicative of sleep disturbances (>39). Notably, individuals with total SDSC scores surpassing 39 were identified at rates of 48.6 % in the T1D group and 47.6 % in the control group, respectively. Furthermore, disorders of arousal nightmares (DA) were more prevalent in T1D patients compared to their healthy peers (P = 0.049). Additionally, HbA1c showed a positive correlation with scores for disorders of excessive somnolence (DOES) and total scores (P < 0.001, R = 0.368; P = 0.003, R = 0.243). CONCLUSION: Our study found that the prevalence of sleep disturbances among children and adolescents with T1D was not significantly higher than that observed in their healthy peers. Nevertheless, it is crucial to note that a notable portion, 48.6 % of T1D cases and 47.6 % of healthy cases, displayed sleep disturbances based on SDSC scores. To optimize diabetes management and proactively address potential challenges, incorporating routine screening for sleep disturbances in the monitoring of T1D patients can yield valuable benefits.

Melatonin treatment has consistent but transient beneficial effects on sleep measures and pain in patients with severe chronic pain: the DREAM-CP randomised controlled trial.

BACKGROUND: Sleep disturbance is a major issue for patients with chronic pain. Melatonin has been shown to improve symptoms of fibromyalgia, but its efficacy in other chronic non-malignant pain conditions is not fully known. Hence, we determined the effect of melatonin in patients with severe noncancer chronic pain. METHODS: This was a randomised double-blinded crossover trial of modified-release melatonin as Circadin™ compared with placebo. Sixty male and female subjects with chronic severe pain were randomised to receive either 2 mg of Circadin™ or placebo before sleep for 6 weeks, followed by a >4 week washout, then crossing over to the other treatment. Sleep disturbance, quality, and latency were measured using three different validated sleep assessment tools. The primary outcome measure was self-reported sleep disturbance after 6 weeks of treatment. Adverse events were also recorded. RESULTS: Sleep disturbance after 6 weeks was not significantly altered by melatonin treatment, but differences between melatonin and placebo treatment periods after 3 weeks were seen: sleep disturbance (P=0.014), latency (P=0.04), overall sleep quality (P=0.004), and effect of pain on sleep (P=0.032). Pain intensity scores improved during both treatment periods (both P<0.001). There were no differences in adverse events between treatment periods. CONCLUSIONS: Circadin™ treatment did not improve sleep disturbance in patients with severe chronic pain compared with placebo at 6 weeks, but there were consistent improvements in aspects of sleep in the shorter term. Given its favourable safety profile, it could be beneficial for some patients with chronic pain. CLINICAL TRIAL REGISTRATION: ISRCTN12861060.

Macro and micro-sleep dysfunctions as translational biomarkers for Parkinson's disease.

Sleep disturbances are highly prevalent among patients with Parkinson's disease (PD) and often appear from the early-phase disease or prodromal stages. In this chapter, we will discuss the current evidence addressing the links between sleep dysfunctions in PD, focusing most closely on those data from animal and mathematical/computational models, as well as in human-based studies that explore the electrophysiological and molecular mechanisms by which PD and sleep may be intertwined, whether as predictors or consequences of the disease. It is possible to clearly state that leucine-rich repeat kinase 2 gene (LRRK2) is significantly related to alterations in sleep architecture, particularly affecting rapid eye movement (REM) sleep and non-REM sleep, thus impacting sleep quality. Also, decreases in gamma power, observed after dopaminergic lesions, correlates negatively with the degree of injury, which brings other levels of understanding the impacts of the disease. Besides, abnormal synchronized oscillations among basal ganglia nuclei can be detrimental for information processing considering both motor and sleep-related processes. Altogether, despite clear advances in the field, it is still difficult to definitely establish a comprehensive understanding of causality among all the sleep dysfunctions with the disease itself. Although, certainly, the search for biomarkers is helping in shortening this road towards a better and faster diagnosis, as well as looking for more efficient treatments.

Psychological symptoms and quality of life in patients with inflammatory bowel disease in China: A multicenter study.

AIMS: To investigate the current situation of mental psychology and quality of life (QoL) in patients with inflammatory bowel disease (IBD) in China, and analyze the influencing factors. METHODS: A unified questionnaire was developed to collect clinical data on IBD patients from 42 hospitals in 22 provinces from September 2021 to May 2022. Multivariate Logistic regression analysis was conducted, and independent influencing factors were screened out to construct nomogram. The consistency index (C-index), receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination, accuracy, and clinical utility of the nomogram model. RESULTS: A total of 2478 IBD patients were surveyed, including 1371 patients with ulcerative colitis (UC) and 1107 patients with Crohn's disease (CD). Among them, 25.5%, 29.7%, 60.2%, and 37.7% of IBD patients had anxiety, depression, sleep disturbance and poor QoL, respectively. The proportion of anxiety, depression, and poor QoL in UC patients was significantly higher than that in CD patients (all p < 0.05), but there was no difference in sleep disturbance between them (p = 0.737). Female, higher disease activity and the first visit were independent risk factors for anxiety, depression and sleep disturbance in IBD patients (all p < 0.05). The first visit, higher disease activity, abdominal pain and diarrhea symptoms, anxiety, depression and sleep disturbance were independent risk factors for the poor QoL of patients (all p < 0.05). The AUC value of the nomogram prediction model for predicting poor QoL was 0.773 (95% CI: 0.754-0.792). The calibration diagram of the model showed that the calibration curve fit well with the ideal curve, and DCA showed that the nomogram model could bring clinical benefits. CONCLUSION: IBD patients have higher anxiety, depression, and sleep disturbance, which affect their QoL. The nomogram prediction model we constructed has high accuracy and performance when predicting QoL.

The assessment of fatigue and sleep quality among children and adolescents with familial Mediterranean fever: A case-control and correlation study.

To evaluate the sleep quality and fatigue levels in children with familial Mediterranean fever (FMF) in comparison to healthy children. The Pediatric Quality of Life Multidimensional Fatigue Scale (PedsQL-MFS) and the Pittsburgh Sleep Quality Index (PSQI) were the instruments utilized to assess fatigue and sleep quality in children with FMF and controls, respectively. Spearman's rank coefficient was decisive in determining the association between patient-reported outcome measures and disease-related features. Two hundred twenty-five (59.3% female) patients and 182 (51.6% female) healthy counterparts were enrolled in the study. In PSQI, where high scores indicate sleep disturbance, the median score was significantly higher in the patient group (5; 3-6) than the control group (3; 2-4) (p < 0.001). PEDsQL-MFS demonstrated significantly lower fatigue levels in the control group than patients (p = 0.01). The level of fatigue in the patient group was found to increase in correlation with sleep problems (r: - 0.750, p < 0.001). Additionally, a high correlation was present between the PSQI/PedsQL-MFS scores and the number of attacks in the last year (r: - 0.645, p < 0.001/r: 0.721, p < 0.001, respectively). There was no difference in terms of fatigue and sleep disorders between mutations (homozygous, heterozygous, or compound heterozygous) in the MEFV gene (p > 0.05).    Conclusion: High disease activity has a significant negative impact on the sleep quality and fatigue levels of patients with FMF. This study emphasizes the importance of assessing fatigue and sleep quality with objective outcome tools periodically in FMF patients throughout the disease course. What is Known: • Fatigue is a common matter that often accompanies rheumatic diseases and causes disability. • Chronic rheumatic diseases often experience poor sleep quality. What is New: • In high correlation with the disease severity of familial Mediterranean fever, sleep quality decreases and fatigue level increases significantly. • In familial Mediterranean fever patients, a negative correlation is present between age and the general fatigue and sleep/rest related fatigue scores (low scores indicating greater fatigue) and sleep quality is poorer in the adolescent age group.

Trauma Exposure in Migrant Children: Impact on Sleep and Acute Treatment Interventions.

Trauma exposure significantly impacts sleep in children. Nightmares are common. Evidence-based therapies are superior to medications but may not always be available in acute settings. No FDA-approved medications exist for the treatment of trauma-related sleep disturbances in youth. The evidence-base for the use of medications is largely based on case reports, retrospective chart reviews, clinical opinion, and adult studies. This evidence is reviewed for a number of medications, including prazosin, trazodone, alpha-2 agonists, quetiapine, and others.

A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer.

PURPOSE: Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups. METHODS: A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality. RESULTS: The following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer. CONCLUSION: The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.

Sleep quality and psychological disorders in breast cancer female patients receiving radiotherapy at a tertiary oncology center in West Saudi Arabia.

PURPOSE: Breast cancer is the most prevalent type of cancer among women worldwide. Many recently diagnosed and treated breast cancer patients complain about sleep disorders, depression, anxiety, stress, and fatigue. This study aimed to evaluate sleep quality among breast cancer patients and to assess its association with psychological disorders, and socio-demographic and clinical characteristics of patients. METHODS: This cross-sectional study was conducted among women who received radiotherapy for breast cancer (stage 1-3) at King Abdul-Aziz Medical City-Jeddah from January to August 2021. Each participant completed a personal information form, the Pittsburgh Sleep Quality Index (PSQI), the Depression, Anxiety, and Stress Scale-21 (DASS-21), and the International Physical Activity Questionnaire (IPAQ). Clinical data were collected from the medical records to evaluate certain risk factors. Descriptive statistics were used for participant characteristics, and analyses of variance were used to assess associations between the qualitative variables. RESULTS: Fifty-six women with a mean age of 50.1 years and an average of 10 months after cancer diagnosis were included. Poor sleep quality was present in 58% of respondents. Symptomatic depression, anxiety, and stress were found in 34%, 32%, and 30% of women, respectively. Poor sleep quality was associated with depression (p = 0.031), anxiety (p = 0.03), and stress (p = 0.024) and was independently associated with hot flashes. In multivariate analysis, patients with depression or with cancer for more than 6 months were less likely to have good sleep after controlling other variables (21.74 and 14.71 times, respectively). CONCLUSION: Poor sleep quality was present in 58% of women with breast cancer receiving radiotherapy and was significantly associated with depression, anxiety, stress, and hot flashes. Depression level and cancer duration were significant predictors of sleep quality. Early identification and proper management of psychological and sleep disorders are necessary to improve the quality of life and survival of breast cancer patients.

Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study.

BACKGROUND: Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. METHODS: To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data were collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. RESULTS: Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. LIMITATIONS: The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometric data. CONCLUSIONS: In summary, our results suggest a strong link between post-COVID depression and fatigue, highlighting the need for integrative treatment approaches.

Sleep Problems in Autism Spectrum Disorder.

Sleep problems are common in children with autism spectrum disorder (ASD), with 40% to 80% prevalence. Common disorders include insomnia, parasomnias, and circadian rhythm sleep-wake disorders. These problems have a multifactorial etiology and can both exacerbate and be exacerbated by core ASD symptoms. Sleep problems also impact the health and quality of life of both patients and their caregivers. All children with autism should be regularly screened for sleep problems and evaluated for co-occurring medical contributors. Behavioral interventions with caregiver training remain first-line treatment for sleep disorders in both neurotypical and neurodiverse youth.