Sleep Problems in Adults With ADHD: Prevalences and Their Relationship With Psychiatric Comorbidity.

BACKGROUND: Sleep problems are common in adults with ADHD and may be bidirectionally associated with ADHD severity and other psychiatric symptoms. We investigated the prevalence of positive screenings for various sleep disorders, and their association with psychiatric comorbidities in a large sample of adults with ADHD from a specialized outpatient clinic. METHODS: We included data of 3,691 adult patients diagnosed with ADHD, who had filled out a screener for sleep disorders (Holland Sleep Disorders Questionnaire (HSDQ)) as part of routine diagnostic assessment. The HSDQ screens for the sleep disorders insomnia, parasomnia, hypersomnia, circadian rhythm sleep disorders (CRSD), restless legs syndrome (RLS)/periodic limb movement disorder (PLMD), and sleep-related breathing disorders (SBD). As delayed sleep phase syndrome (DSPS) is very frequent in ADHD, we additionally screened for DSPS. Psychiatric comorbidities were diagnosed through clinical assessment and the Mini International Neuropsychiatric Interview (M.I.N.I.) Plus, which assesses 26 psychiatric disorders following the classification of the DSM-5. All data were retrieved from the electronic patient files. RESULTS: Mean age was 35.4 and 49.4% of the patients were female. About 60% of the adults with ADHD screened positive for any sleep disorder. Highest prevalences were found for symptoms of DSPS (36%), insomnia (30%), and RLS/PLMD (29%). Sleep problems in adults with ADHD were associated with comorbid depression, anxiety, substance use disorder, personality disorder, and post-traumatic stress disorder. CONCLUSION: Adults with ADHD often report sleep problems, which are associated with specific psychiatric comorbidities. Systematic screening for sleep disorders in adult patients with ADHD can contribute to a better understanding of their complaints and may aid improved and integrated treatment for the sleep and psychiatric problems.

Residual kidney function and sleep quality in hemodialysis patients.

Background: Sleep disorders frequently affect end-stage renal disease patients on dialysis. However, the relationship between sleep quality and residual kidney function is still unclear. Therefore, this study aimed to investigate this relationship. Methods: In this analytical cross-sectional study, 225 patients who were referred to dialysis centers were studied, and based on renal function, they were classified into two groups with and without residual kidney function. The study employed the Pittsburgh Sleep Quality Index questionnaire to evaluate sleep quality. Multiple linear regression was utilized to determine the factors affecting sleep quality with a significance level consideration at p<0.05. Results: The mean age of patients was 58.23 ± 13.50 years. 58.7% of patients were males. The problem of serious and very serious sleep in the Sleep latency and sleep duration has been more than other components. 72% of hemodialysis patients had poor sleep quality. In the multiple linear regression model, age (ß = 0.442, 95% CI: 0.096, 0.788), sex (ß = -0.847, 95% CI: -1.641, -0.054), Body mass index (ß = 0.153, 95% CI: 0.058, 0.249) and dialysis duration (ß = 0.097, 95% CI: 0.002, 0.192) were independently and significantly associated with sleep quality score. However, there was no statistically significant relationship between sleep quality and residual kidney function. Conclusion: In conclusion, poor sleep quality is very common in patients undergoing hemodialysis. Therefore, sleep disorders in hemodialysis patients should be considered as one of the most challenging problems by healthcare providers, and early diagnosis and intervention are essential to improve sleep quality.

Sleep disorders among frontline nurses after the COVID-19 outbreak: a large-scale cross-sectional study.

This large-scale cross-sectional multicenter study aims to investigate the prevalence of sleep disorders among frontline nurses in China after the COVID-19 pandemic and to identify potential influencing factors contributing to these sleep disturbances. A total of 2065 frontline nurses from 27 provinces in China participated in an online survey conducted through the Wenjuan Xing platform. Data on demographic characteristics, work-related factors, and mental health assessments, including the Pittsburgh Sleep Quality Index (PSQI), Zung Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS), were collected. Statistical analyses, including chi-square tests, t-tests, binary logistic regression, and ROC analysis, were conducted to explore the relationships between various factors and sleep disorders. Over half (52.7%) of the surveyed nurses exhibited sleep disorders, reflecting a considerable post-pandemic impact on sleep quality. Factors such as nursing titles, personality traits, COVID-19 infection status, and exercise frequency showed statistically significant associations with sleep disorders. Extraverted nurses and those who had recovered from COVID-19 displayed a lower risk of sleep disorders, while anxiety was identified as an independent risk factor. The study also identified a nuanced relationship between exercise frequency and sleep quality. The study highlights a high prevalence of sleep disorders among frontline nurses post-COVID-19, emphasizing the need for targeted interventions. Factors such as nursing titles, personality traits, COVID-19 infection status, exercise habits, and anxiety levels were found to influence sleep quality. Comprehensive support strategies addressing these factors are essential for improving the overall well-being of frontline nurses and, subsequently, sustaining a resilient healthcare workforce. Further research is recommended to explore additional influencing factors and consider diverse nurse populations.

Voltage Gated Ion Channels and Sleep.

Ion channels are integral components of the nervous system, playing a pivotal role in shaping membrane potential, neuronal excitability, synaptic transmission and plasticity. Dysfunction in these channels, such as improper expression or localization, can lead to irregular neuronal excitability and synaptic communication, which may manifest as various behavioral abnormalities, including disrupted rest-activity cycles. Research has highlighted the significant impact of voltage gated ion channels on sleep parameters, influencing sleep latency, duration and waveforms. Furthermore, these ion channels have been implicated in the vulnerability to, and the pathogenesis of, several neurological and psychiatric disorders, including epilepsy, autism, schizophrenia, and Alzheimer's disease (AD). In this comprehensive review, we aim to provide a summary of the regulatory role of three predominant types of voltage-gated ion channels-calcium (Ca2+), sodium (Na+), and potassium (K+)-in sleep across species, from flies to mammals. We will also discuss the association of sleep disorders with various human diseases that may arise from the dysfunction of these ion channels, thereby underscoring the potential therapeutic benefits of targeting specific ion channel subtypes for sleep disturbance treatment.

Sex differences in insomnia and hypersomnia complaints during major depressive episode: Results from a national sample.

BACKGROUND: Sex differences in sleep disturbances during major depressive episodes (MDE) have been suggested. This study compares the prevalence, sociodemographic characteristics, and psychiatric comorbidity associated with sleep complaints specific to each sex among adults with MDE. These findings are crucial for precise diagnosis, personalized treatment, and improved clinical outcomes. METHODS: In a large nationally representative prospective survey, we used multi-adjusted logistic regression models including sociodemographic characteristics, psychiatric comorbidity, and depression severity to examine whether associations differ between men and women. RESULTS: Among women, 93.3 % reported at least one type of sleep complaints (i.e., trouble falling asleep, early morning awakening or hypersomnia) while 91.0 % of men did, with respectively 78.3 % and 77.2 % of insomnia complaints, and 46.2 % and 41.3 % of hypersomnia complaints. Women with sleep complaints were more likely to be black, with lower individual incomes, have histrionic personality disorder or a specific phobia. Conversely, men with sleep complaints were more likely to have a lifetime diagnosis of mania spectrum disorder, generalized anxiety disorder, drug use disorder, as well as dependent and schizotypal personality disorders. Surprisingly, being "never married" has emerged as a protective factor against sleep complaints in women, while posing as a risk factor in men compared to other marital statuses. Differences and specificities were also noted concerning subtypes of insomnia and hypersomnia complaints. LIMITATIONS: The cross-sectional design means the associations found do not imply causality. CONCLUSIONS: These findings provide insights into the complex relationship between sleep and depression in men and women, highlighting the need for personalized interventions.

The interdisciplinary field of Sleep Medicine-time for dentists to sink their teeth into it!

Sleep Medicine has evolved into a highly multidisciplinary field over the last few decades, involving respiratory physicians, neurologists, cardiologists, ENT surgeons, psychiatrists and psychologists to name a few. It is within this highly multidisciplinary context that we have seen an increasing role for dentists in the recognition, diagnosis and management of select sleep disturbances and disorders. Over the last couple of decades, this growing role for dentists has seen the informal emergence of a new interdisciplinary field of Dental Sleep Medicine-a field that bridges medicine and dentistry as it pertains to the diagnosis and management of sleep disorders. This article describes this new field in terms of its history, the evolving scope of practice for dentists, the implications for education and training, and the importance of multidisciplinary care that optimises outcomes for patients.

Public engagement with consumer sleep technology for obstructive sleep apnea screening: implications for equity, access, and practice.

STUDY OBJECTIVES: To characterize public practices and perspectives on the use of consumer sleep technology (CST) and evaluate perspectives on using CST as a screening tool for obstructive sleep apnea (OSA). METHODS: We designed a survey instrument incorporating content from validated instruments (STOP-BANG and the Epworth Sleepiness Scale) and hypothesis-generated questions. Survey development involved multidisciplinary collaboration among three board-certified sleep medicine experts, researchers, and consumers. The survey was disseminated across a national sample of adults living in the United States via an online platform. RESULTS: Among 897 respondents, the mean (SD) age was 47.5 (16.9) years; 73.1% were female, 81.8% were White, and 505 respondents (56.3%) reported having tracked sleep using CS. Factors associated with decreased odds of CST use included household income <$30,000 (OR 0.47, 95% CI 0.28-0.79; p=0.004), Medicaid insurance (OR 0.43, 95% CI 0.26-0.69; p=0.001), Medicare insurance (OR 0.59, 95% CI 0.41-0.84; p=0.004), and lack of a primary care physician (OR 0.55, 95% CI 0.33-0.91; p=0.021). Most respondents (91.1%) agreed or strongly agreed that screening for OSA would be a useful feature of CST, but respondents reporting an education of high school diploma or less (OR 0.48, 95% CI 0.29-0.79; p=0.004) were less likely to agree with this statement. CONCLUSIONS: Attitudes toward and use of CST differed based on demographic and socioeconomic factors. Further study is needed to understand and address barriers to CST adoption and to characterize implications for equitable access to care for sleep disorders.

Understanding nightmares after traumatic events in Detroit (UNiTED): prospective associations with interpersonal violence and posttraumatic stress disorder symptoms.

ABSTRACTBackground: Research suggests trauma-related nightmares (TRNs) during the acute aftermath of trauma may contribute to posttraumatic stress disorder (PTSD). However, it is unknown who is most vulnerable to TRNs, which is critical to identify at-risk patients toward whom early nightmare-focused treatments can be targeted to prevent PTSD.Objective: We tested trauma type (interpersonal violence [e.g. assault] vs non-interpersonal trauma [e.g. motor vehicle collision]) as a risk factor for TRNs in a predominantly low-income, Black, urban sample in Detroit, MI, USA.Method: We recruited patients from the intensive care unit following traumatic injury (N = 88; Mage = 39.53 ± SD 14.31 years, 67.0% male, 67.0% Black, 47.7% annual income ≤ $20,000) and administered surveys at three post trauma timepoints: one week (T1), one month (T2; n = 61), and two months (T3; n = 59). Trauma type was assessed at T1 via electronic medical records. Participants reported the extent to which their dreams' content was similar to the trauma for which they were hospitalized across T1-T3. Participants then completed the PTSD Checklist for DSM-5 at T3.Results: TRNs were more prevalent over time among patients exposed to interpersonal violence (80%) vs non-interpersonal trauma (48.7%, p = .005). Patients hospitalized for interpersonal violence faced greater odds for TRNs across timepoints relative to non-interpersonal trauma patients (Odds Ratio = 4.95, p = .021). TRNs, in turn, prospectively predicted PTSD symptoms such that TRNs at T2 presaged more severe PTSD at T3 (p = .040, ηp2 = .31), above and beyond T1 PTSD status.Conclusions: This prospective study provides first evidence that interpersonal violence exposure is a robust risk factor for TRNs, which prospectively contribute to PTSD symptom development. Early intervention on TRNs after interpersonal violence exposure may decrease PTSD risk. Future studies are encouraged to use ambulatory methods to capture nightmares sooner after they occur.

Interpersonal violence exposure is a risk factor for trauma-related nightmaresTrauma-related nightmares predict PTSD symptoms, above and beyond baseline PTSDTreating nightmares early after interpersonal violence may decrease PTSD risk.

Cognitive Decline in Ageing and Disease: Risk factors, Genetics and Treatments.

Aging is the primary risk factor for cognitive decline, impacting multiple cognitive domains and significantly elevating the risk of conditions such as mild cognitive impairment and dementia. In addition to aging, several diseases contribute to cognitive decline. Alzheimer's disease, a progressive neurodegenerative disorder, leads to the loss of neurons and synapses in the brain, resulting in a profound decline in cognitive abilities and functional capacity. Several studies provide compelling evidence that modifiable lifestyle factors play a crucial role in influencing cognitive health. Adopting healthier behaviors has been shown to significantly reduce the risk of cognitive decline. Genetic factors also play a crucial role in cognitive decline, with several genes being identified that influence the risk of developing conditions like Alzheimer's disease and other dementias. Long-term use of opioids and cocaine is also associated with cognitive decline, affecting functions such as memory and executive processes. Understanding the factors contributing to cognitive decline in aging and disease is essential for developing strategies to mitigate its impact. The drugs available to treat patients with cognitive decline due to advanced aging and drug abuse are also summarize.

Demographic characteristics and comorbidities of patients with narcolepsy: a propensity-matched cohort study.

Study Objectives: Narcolepsy has a complex phenotype owing to differences in symptomatology, disease severity, and comorbidities. This is the first study to use aggregate electronic health record (EHR) data and natural language processing (NLP) algorithms to characterize the demographics and comorbidities of a large cohort of patients with narcolepsy. Methods: First-time Mayo Clinic patients (2000-2020) who had ≥1 narcolepsy-specific ICD-9/10 code and ≥1 disease-supportive statement in the clinical notes (identified using an NLP algorithm) were identified. A control cohort was propensity matched for birth year, age at first institutional encounter, sex, race, ethnicity, number of diagnosis codes, and mortality. Common comorbidities were compared and ranked between cohorts. Results: In the EHR database (N = 6 389 186 patients), 2057 patients with narcolepsy were identified (median age, 32 years; 59.6% female; 92.6% white; and 89.2% non-Hispanic) and propensity matched with a control cohort. Among the top 20 comorbidities occurring more frequently in the narcolepsy cohort compared with the control cohort (odds ratio [OR], 1.67-3.94; p < .001]) were sleep disorders (restless legs syndrome, obstructive sleep apnea, and insomnia), mood disorders (depression, dysthymia, and anxiety), and pain disorders (chronic pain syndrome, migraine, fibromyalgia, carpal tunnel syndrome, and myalgia). Other comorbidities significantly associated with narcolepsy (OR, 1.33-1.95) were irritable bowel syndrome (p < .001), asthma (p < .001), cervical spondylosis (p < .01), syncope (p < .01), and hypothyroidism (p < .05). Conclusions: This propensity-matched cohort study demonstrates increased psychiatric, sleep, and pain disorders in patients living with narcolepsy and challenges beyond narcolepsy-specific symptoms in this population. Understanding common narcolepsy-associated comorbidities may assist in tailoring treatment modalities.

Associations of Advanced Glycation End Products with Sleep Disorders in Chinese Adults.

BACKGROUND: Advanced glycation end products (AGEs), a group of food processing byproducts, have been implicated in the development of various diseases. However, the relationship between circulating AGEs and sleep disorders remains uncertain. METHODS: This cross-sectional study elucidated the association of plasma AGEs with sleep disorders among 1732 Chinese adults who participated in the initial visit (2019-2020) of the Tongji-Shenzhen Cohort (TJSZC). Sleep behavior was assessed using self-reported questionnaires and precise accelerometers. Plasma levels of AGEs, including Nε-(Carboxymethyl)lysine (CML), Nε-(Carboxyethyl)lysine (CEL), and Nδ-(5-hydro-5-methyl-4-imidazolone-2-yl)-ornithine (MG-H1), were quantified by ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). RESULTS: In logistic regression, per IQR increment in individual AGEs was associated with an increased odds ratio of short sleep duration (CML: 1.11 [1.00, 1.23]; CEL: 1.16, [1.04, 1.30]), poor sleep quality (CML: 1.33 [1.10, 1.60]; CEL: 1.53, [1.17, 2.00]; MG-H1: 1.61 [1.25, 2.07]), excessive daytime sleepiness (CML: 1.33 [1.11, 1.60]; MG-H1: 1.39 [1.09, 1.77]), and insomnia (CML: 1.29 [1.05, 1.59]). Furthermore, in weighted quantile sum regression and Bayesian kernel machine regression analyses, elevated overall exposure levels of plasma AGEs were associated with an increased risk of sleep disorders, including short sleep duration, poor sleep quality, excessive daytime sleepiness, and insomnia, with CML being identified as the leading contributor. Insufficient vegetable intake and higher dietary fat intake was associated with an increase in plasma CEL. CONCLUSIONS: These findings support a significant association between plasma AGEs and sleep disorders, indicating that AGEs may adversely influence sleep health and reducing the intake of AGEs may facilitate preventing and ameliorating sleep disorders.

A Risk Correlative Model for Sleep Disorders in Chinese Older Adults Based on Blood Micronutrient Levels: A Matched Case-Control Study.

BACKGROUND: The physical abilities of older adults decline with age, making them more susceptible to micronutrient deficiency, which may affect their sleep quality. OBJECTIVES: This study aimed to construct a risk correlative model for sleep disorders in Chinese older adults based on blood micronutrient levels. METHODS: In this matched case-control study, we recruited 124 participants with sleep disorders and 124 matched controls from the Tianjin Elderly Nutrition and Cognition cohort in China. Micronutrient levels in whole blood were measured using the dried blood spot technique. We compared the differences in micronutrient levels between the two groups and also constructed a receiver operating characteristic (ROC) model and nomogram for sleep disorders. RESULTS: In comparison to the control group, the sleep disorders group showed lower levels of blood vitamin A, vitamin E (VE), folate, magnesium, copper, iron, and selenium (Se) in the univariate analysis (p < 0.05). The ROC curve analysis indicated that the combination of VE + folate + Se may have an excellent diagnostic effect on sleep disorders, with an area under the curve of 0.964. This VE + folate + Se was integrated into a nomogram model to demonstrate their relationship with sleep disorders. The consistency index of the model was 0.88, suggesting that the model assessed sleep disorders well. CONCLUSIONS: The sleep disorders risk correlative model constructed by the levels of VE, folate, and Se in whole blood might show good performance in assessing the risk of sleep disorders in older adults.

Insomnia, OSA, and Mood Disorders: The Gut Connection.

PURPOSE OF REVIEW: With the growing body of research examining the link between sleep disorders, including insomnia and obstructive sleep apnea (OSA), and the gut microbiome, this review seeks to offer a thorough overview of the most significant findings in this emerging field. RECENT FINDINGS: Current evidence suggests a complex association between imbalances in the gut microbiome, insomnia, and OSA, with potential reciprocal interactions that may influence each other. Notably, specific gut microbiome species, whether over- or under-abundant, have been associated with variation in both sleep and mood in patients diagnosed with, e.g., major depressive disorder or bipolar disorder. Further studies are needed to explore the potential of targeting the gut microbiome as a therapeutic approach for insomnia and its possible effects on mood. The variability in current scientific literature highlights the importance of establishing standardized research methodologies.

The Association between Dental Caries, Periodontal Status, and Sleep Patterns in Children.

Aim and background: Sleep quality has a significant impact on children's overall health and is associated with oral diseases. This study aimed to investigate the relationship between dental caries, periodontal status, and sleep patterns in 8-12-year-old children. Materials and methods: This cross-sectional study was conducted on 120 children aged 8-12 years. The children's sleep habits questionnaire (CSHQ) was employed to evaluate sleep status. Another questionnaire was used to collect data on lifestyle habits. Dental caries status was evaluated using the decayed, missing, and filled teeth (DMFT) and International Caries Detection and Assessment System (ICDAS) indices. Periodontal status was assessed through the plaque index (PI), probing depth (PD), gingival index (GI), and periodontal screening and recording (PSR). The association between oral health and sleep patterns was evaluated using Spearman's coefficient correlation, independent t-test, and the Chi-squared test. Results: The ICDAS mean was significantly higher in children with improper sleep patterns (p = 0.032). However, there was no statistically significant relationship between DMFT and sleep patterns (p = 0.346). The GI, PD, and PSR mean were significantly higher in the inappropriate sleep pattern group. There was a significant relationship between children's sleep patterns and GI, PD, and PSR indices (p = 0.033, p = 0.020, p = 0.028, respectively). However, there was no significant association between PI and sleep patterns (p = 0.277). Conclusion: Children's sleep patterns were associated with dental caries and periodontal status. Adequate sleep is required to prevent oral diseases such as dental caries and periodontal diseases. Clinical significance: According to this study, it is recommended that children should be encouraged to get adequate sleep by their parents and dentists. How to cite this article: Mehdipour A, Abbasi R, Keykha E, et al. The Association between Dental Caries, Periodontal Status, and Sleep Patterns in Children. Int J Clin Pediatr Dent 2024;17(8):925-932.

The Holland Sleep Disorders Questionnaire: Factorial structure and measurement invariance in a psychiatric sample relative to the general population.

OBJECTIVES: Although common, sleep disorders often remain undiagnosed in psychiatric patients. A screening instrument, like the Holland Sleep Disorders Questionnaire (HSDQ) could improve this. Previous work indicated a 6-factor structure for the HSDQ, but this hasn't been investigated in psychiatric patients. METHODS: HSDQ data was collected in a psychiatric-outpatient sample (n = 1082) and general-population sample (n = 2089). Internal reliability of the HSDQ was investigated and Confirmatory Factor Analyses (CFA) were used to compare 1-, 6-, and second-order 6-factor models in both samples. Next, multigroup-CFA was used to investigate measurement invariance. RESULTS: Except for one subscale, internal reliability was acceptable in both samples. The 6-factor structure model fitted best in both samples and investigation of measurement invariance showed evidence for equality of the overall factor structure (configural invariance). Addition of equality constraints on factor loadings (metric invariance) and item thresholds (scalar invariance) showed good fit for all fit statistics, except for one. Exploratory analyses identified three items for metric and three different items for scalar invariance explaining this non-invariance. CONCLUSION: The HSDQ has a 6-factor structure in psychiatric patients, which is comparable to the general population. However, due to the observed non-invariance, users should be cautious with comparing HSDQ scores between psychiatric and general populations.

Challenges in integrating traditional Chinese medicine and gut microbiota research for insomnia treatment.

The gut microbiome is an extensive variety of bacteria with a range of metabolic capabilities that can be pathogenic, beneficial, or opportunistic. Changes in the gut microbiota's composition can affect the link between gut integrity and host health as well as cause disruptions to numerous neurological systems. The second most prevalent mental health problem, insomnia has a negative social and economic impact. Currently, it is becoming increasingly obvious how crucial it is to preserve the delicate balance of gut microbiota to treat illness-related symptoms like insomnia. Although traditional Chinese medicine has proposed an effective strategy against insomnia through gut microbiota alteration in animal models, studies in human models are limited. This decreases the predictive value of the studies in terms of human outcomes. This editorial places an emphasis on cultural sensitivity rather than scientific reasoning that promotes the use of traditional Chinese medicine (TCM). We aim to emphasize the concern that promoting TCM could divert resources from conventional medical research, leading to suboptimal care.

Effects of transcranial magnetic stimulation on sleep quality in fibromyalgia: A double-blind randomized clinical trial.

OBJECTIVES: The aim of the current study was to assess the therapeutic impact of repeated low frequency repetitive transcranial magnetic stimulation (rTMS) over the right dorsolateral prefrontal cortex (rDLPFC) on sleep problems in patients with fibromyalgia. METHODS: Forty two patients with fibromyalgia who had sleep difficulties were randomly assigned to receive either real or sham rTMS treatment. Patients received 20 treatment sessions (5 sessions per week) in which 1200 rTMS pulses were applied over the rDLPFC using a frequency of 1 Hz and an intensity of 120 % of the resting motor threshold. All participants were evaluated at baseline, and then 1 month and 3 months after treatment using the Fibromyalgia Impact Questionnaire (FIQ), Pittsburgh Sleep Quality Index (PSQI), Medical Outcomes Study Sleep Scale (MOS-SS) and polysomnography (PSG). RESULTS: There were significant time (pre, 1month, and 3 months)X group (real versus sham group) interactions in all 3 clinical rating scales; FIQ (Df = 1.425, F = 237.645, P = 0.001), PSQI (Df = 2, F = 64.005, P = 0.001), MOS-SS (Df = 2, F = 28.938, P = 0.001) due to the fact that the real group improved significantly more over time than the sham group. Similarly, the real group improved more on the PSG parameters than the sham group. The effect sizes were large both in the rating scales and PSG, indicating a substantial clinical improvement. Correlation as an exploratory analysis between the changes (pre - post 3 months) in MOS-SS and PLMs index (/h) showed significant negative correlation (r = -0.643, P = 0.002). CONCLUSIONS: 20 sessions of LF-rTMS over rDLPFC can improve sleep quality in both subjective (PSQI and MOSS) as well as objective (PSG) rating scales.

Psychometric evaluation of the Chinese version of the hospital-acquired insomnia scale (HAIS) and analysis of influencing factors.

BACKGROUND: Adequate sleep and rest are essential for patient recovery; however, lack of sleep has become a common problem faced by Chinese patients during hospital stays. Reduced sleep is often associated with a higher risk of disease progression and is strongly associated with increased hospital stay. However, there is no specific tool in China to assess short-term insomnia caused by hospitalization. This study aimed to translate the Hospital-acquired Insomnia Scale (HAIS) into Chinese, test its applicability to Chinese inpatients through reliability and validity indicators, and investigate the potential influencing factors of hospital-acquired insomnia. METHODS: Psychometric analysis from a sample of 679 hospitalized patients to whom the HAIS questionnaire was applied. The structural validity was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and the content validity of the scale was assessed using the content validity index. Cronbach's alpha coefficient, split-half reliability and test-retest reliability were calculated to evaluate the internal consistency of the scale. Multiple stepwise linear regression analysis was conducted to determine the potential correlates of hospital-acquired insomnia. RESULTS: EFA supported a four-factor structure with factor loadings for all dimensions greater than 0.40. CFA showed good indicators of model fit. The content validity index of the scale was 0.94. the Cronbach's alpha of the scale was 0.915, the split-half reliability coefficient was 0.819, and the retest reliability was 0.844. Gender, age, total hours of sleep during the night, medical insurance, length of hospital stay, perceived stress level, and perceptions about sleep explained 46.2% of the variance in hospital-acquired insomnia. CONCLUSION: The Chinese version of HAIS has good psychometric characteristics and is an effective instrument for evaluating hospital-acquired insomnia. In addition, hospital-acquired insomnia is more common in women, of younger age, less than 5 h of sleep a night, without medical insurance, stressed, and patients with more misconceptions about sleep.

Association between sleep disturbances and suicidal behavior in adolescents: a systematic review and meta-analysis.

Introduction: Adolescents' health and well-being are seriously threatened by suicidal behaviors, which have become a severe social issue worldwide. Suicide is one of the leading causes of mortality for adolescents in low and middle-income countries, with approximately 67,000 teenagers committing suicide yearly. Although an association between sleep disturbances (SDs) and suicidal behaviors has been suggested, data are still scattered and inconclusive. Therefore, to further investigate this association, we conducted a meta-analysis to verify if there is a link between SDs and suicidal behaviors in adolescents without diagnosed psychiatric disorders. Methods: PubMed, CENTRAL, EMBASE, and PsycINFO were searched from inception to August 30th, 2024. We included studies reporting the estimation of suicidal behaviors in adolescents from 12 to 21 years of age, with SDs and healthy controls. The meta-analysis was based on odds ratio (OR, with a 95% confidence interval ([CI]), estimates through inverse variance models with random-effects. Results: The final selection consisted of 19 eligible studies from 9 countries, corresponding to 628,525 adolescents with SDs and 567,746 controls. We found that adolescents with SDs are more likely to attempt suicide (OR: 3.10; [95% CI: 2.43; 3.95]) and experience suicidal ideation (OR: 2.28; [95% CI 1.76; 2.94]) than controls. Conclusion: This meta-analysis suggests that SDs are an important risk factor for suicidal ideation and suicide attempts in healthy adolescents. The findings highlight the importance of early identification of SDs to prevent suicidal behaviors in this population. Systematic review registration: PROSPERO, identifier CRD42023415526.