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Self-harm is linked to numerous adverse health and social outcomes, including repetitive self-harm and an increased risk of suicide. This study aims to explore the influence of chronotype on self-harm among adolescents and further investigate the mediating role of sleep problems and emotional symptoms. The study was conducted between April and June 2022, involving 13 junior and senior high schools in Tianjin. The participants were asked to complete online questionnaires assessing chronotype, sleep problems, depression, anxiety, and self-harm. The data were analyzed and processed using Spearman correlation and mediation effect analysis. Two mediation pathways were tested: Model 1 with sleep problems and depression as the mediators, and Model 2 with sleep problems and anxiety as the mediators. Participants comprised 13,374 Chinese middle school adolescents (6745 boys) aged 11-19 years. In Model 1, the independent mediation effects of sleep problems and depression were -0.216 (95% CI = [-0.263, -0.172]) and -0.101 (95% CI = [-0.121, -0.083]), accounting for 33.33% and 15.59% of the total effect, respectively. The chain mediation effect was -0.170 (95% CI = [-0.196, -0.146]), accounting for 26.23% of the total effect. In Model 2, the independent mediation effects of sleep problems and anxiety were -0.232 (95% CI = [-0.279, -0.189]) and -0.075 (95% CI = [-0.091, -0.059]), respectively accounting for 35.63% and 11.52% of the total effect. The chain mediation effect was -0.151 (95% CI = [-0.176, -0.128]), accounting for 23.20% of the total effect. Chronotype is a significant predictor of self-harm, with a later chronotype associated with a higher risk. Both sleep problems and emotional symptoms independently and serially mediate the relationship between chronotype and self-harm. These findings highlight the complex pathways through which chronotype influences self-harm behavior and suggest potential targets for intervention.

The experience of chronic non-cancer pain (CNCP) is one of the most common reasons individuals seek medical attention. Patients with CNCP frequently experience concomitant sleep-related problems. The aim was to evaluate sleep problems in opioid naïve CNCP patients, before and after opioid titration, analyzing the influence of OPRM1 gene variants. A prospective, cohort, observational study. This study was performed at the Pain Unit of the Alicante University General Hospital. Pain and Medical Outcomes Study Sleep questionnaire (MOS-Sleep) were assessed at baseline and 3 months after opioid titration in 231 opioid naïve CNCP patients. Sleep data was compared with a matched-control group (n = 64). Morphine equivalent daily doses, adverse events, and drugs prescribed for pain were also registered. OPRM1 polymorphism rs1799971 was analyzed by RT-PCR. Ethics Committee approved the study and results were analyzed by R software. After 3 months of opioid titration, patients with CNCP (63 ± 14 years, 64% female, VAS 74 ± 17 mm) significantly decreased pain intensity, anxiety and depression, and increased quality of life. Sleep problems were significantly more frequent in females (P = 0.002). Age, quality of life, anxiety, and depression all influenced sleep disturbances and problems indices, which were significantly different from the control group. Furthermore, the OPRM1 118-GG genotype was also associated with significantly lower sleep adequacy, and more sleep problems. Total number of subjects studied was relatively small and most patients were on other non-opioid centrally-acting medications. Opioids decreased CNCP severity, improving patients' psychological areas, and quality of life. However, patients with OPRM1 118-GG genotype indicated an increase in sleep problems and worsening sleep pattern while taking opioids. OPRM1, pharmacogenetics, MOS-Sleep, opioids, chronic noncancer pain, sleep related problems, sleep problem index SLP-6 and SLP-9.

The prevalence of sleep disturbance among children with developmental disabilities is known to be considerably higher than the typical population. The current study examined the effectiveness of the Sleepwise intervention program (O’Connell and Vannan in Aust Occup Ther J 55:212–214, 2008 ): a parent-assisted group-based treatment for sleep disturbance which was recently adapted for older children and adolescents with DD. Twenty-six families with children aged 8–17 years participated. The study compared a treatment and a wait-list control group at baseline, post-treatment and 2 months post-treatment on measures of child and parent functioning. Results demonstrated that the Sleepwise approach was effective in reducing sleep disturbance and parent stress. Limitations and future research directions are discussed.

Abstract Study Objectives: Mounting evidence implicates disturbed sleep or lack of sleep as one of the risk factors for Alzheimer’s disease (AD), but the extent of the risk is uncertain. We conducted a broad systematic review and meta-analysis to quantify the effect of sleep problems/disorders on cognitive impairment and AD. Methods: Original published literature assessing any association of sleep problems or disorders with cognitive impairment or AD was identified by searching PubMed, Embase, Web of Science, and the Cochrane library. Effect estimates of individual studies were pooled and relative risks (RR) and 95% confidence intervals (CI) were calculated using random effects models. We also estimated the population attributable risk. Results: Twenty-seven observational studies (n = 69216 participants) that provided 52 RR estimates were included in the meta-analysis. Individuals with sleep problems had a 1.55 (95% CI: 1.25–1.93), 1.65 (95% CI: 1.45–1.86), and 3.78 (95% CI: 2.27–6.30) times higher risk of AD, cognitive impairment, and preclinical AD than individuals without sleep problems, respectively. The overall meta-analysis revealed that individuals with sleep problems had a 1.68 (95% CI: 1.51–1.87) times higher risk for the combined outcome of cognitive impairment and/or AD. Approximately 15% of AD in the population may be attributed to sleep problems. Conclusion: This meta-analysis confirmed the association between sleep and cognitive impairment or AD and, for the first time, consolidated the evidence to provide an “average” magnitude of effect. As sleep problems are of a growing concern in the population, these findings are of interest for potential prevention of AD.

Background The association between sleep-related disorders and inflammation has been demonstrated in previous studies. The systemic immune-inflammation index (SII) is a novel inflammatory index based on leukocytes, but its relationship with sleep-related disorder is unclear. We aimed to investigate the relationship between sleep-related disorder and SII in a nationally representative nonhospitalized sample. Methods Data were obtained from the 2005–2008 National Health and Nutrition Examination Survey (NHANES). Exposure variables included self-reported sleep-related disorders, such as sleep duration, sleep problems, high risk of OSA, and daytime sleepiness. SII and other traditional markers of inflammation were considered as outcome variables, including platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR). Multiple linear regression models were employed to examine the correlation between sleep-related disorders and inflammatory markers. Subgroup interactions were analyzed using likelihood ratio tests, and nonlinear relationships were explored by fitting restricted cubic splines. Results A total of 8,505 participants were enrolled in this study. Overall, sleep-related disorders were found to have a stronger association with SII compared to the PLR and NLR. The results of multiple linear regression analysis revealed that participants who experienced sleep problems (β: 21.421; 95% CI 1.484, 41.358), had symptoms of OSA (β: 23.088; 95% CI 0.441, 45.735), and reported daytime sleepiness (β: 30.320; 95% CI 5.851, 54.789) exhibited a positive association with higher SII. For the analysis of other inflammatory markers, we only found that daytime sleepiness was associated with increased NLR levels (β: 0.081; 95% CI 0.002, 0.159). Conclusion Sleep problems, symptoms of OSA, and daytime sleepiness were found to have a positive association with the SII in US adults. However, further prospective studies are necessary to establish whether there is a causal relationship between these factors.

The chronicity of sleep disturbance and its relation to co-occurring symptoms in children with autism spectrum disorder (ASD) are not well understood. The current study examined longitudinal relations among sleep and co-occurring symptoms in a large well-characterized sample of 437 children with ASD assessed at baseline and follow-up ( M  = 3.8 years later). Twenty-three percent experienced worsening sleep problems over time, while 31.5% showed improvement. Path analysis indicated that sleep problems at baseline predicted later development of ADHD symptoms in younger children and somatic complaints in older children. For younger children, sensory over-responsivity predicted future sleep problems. Findings suggest that sensory over-reactivity may contribute to sleep problems in some children with ASD, and that sleep problems may result in poor daytime functioning.

Background Despite evidence of adverse health consequences of inadequate restorative sleep for older adults, assessment of sleep quantity, quality, and use of sleep aids is not routinely done. We aimed to characterize sleep problems, sleep risks, and advice received about sleep in a community-dwelling older adult population, overall and in subgroups with health conditions and functional difficulties. Methods This cross-sectional study used weighted self-report data for 5074 Kaiser Permanente Northern California members aged 65-79y who responded to a 2017 or 2020 Member Health Survey. We estimated usual amount of sleep (< 6, 6 to < 7, ≥7 hours) and prevalence of sleep problems (frequent insomnia, frequent daytime fatigue, poor quality sleep, and potential sleep apnea (OSA) symptoms (frequent very loud snoring, apnea episodes)) for older adults overall, by self-rated health, and in subgroups reporting hypertension, diabetes, heart disease, frequent problems with balance/walking, and frequent memory problems. We also estimated percentages who regularly used sleep aids and had discussed sleep adequacy with a healthcare professional in the past year. Results Approximately 30% of older adults usually got less than the recommended ≥7 hours sleep per day, and 9% experienced frequent daytime fatigue, 13% frequent insomnia, 18% frequent insomnia/poor quality sleep, and 8% potential OSA symptoms. Prevalence of frequent insomnia was higher among women than men (16% vs. 11%). Higher percentages of those in fair/poor health and those with frequent balance/walking and memory problems reported sleeping < 6 hours per day and having all four types of sleep problems. Nearly 20% of all older adults (22% of women vs. 17% of men) and 45% of those with frequent insomnia (no sex difference) reported regular sleep aid use. Only 10% of older adults reported discussing sleep with a healthcare professional whereas > 20% reported discussing diet and exercise. Conclusions Large percentages of older adults experience sleep problems or get less sleep than recommended for optimal sleep health. Older patients should routinely be assessed on multiple components of sleep health (sleep hygiene, quantity, quality, problems, and sleep aid use) and educated about sleep hygiene and the importance of getting adequate restorative sleep for their overall health and wellbeing.

Background High prevalence of sleep problems have been reported in children with Autism Spectrum Disorder (ASD). This study aims to investigate the sleep conditions of ASD children in China, and explore the relationship between the common sleep problems and core symptoms and developmental levels. Methods Using a cross-sectional design, we included 2 to 7-year-old children from 13 cities in China: 1310 with ASD and 1158 with typically-developing (TD) children. The neurodevelopmental level was evaluated with the revised Children Neuropsychological and Behavior Scale (CNBS-R2016). ASD were diagnosed with DSM-5 and Child Autism Rating Scale (CARS). the Social Responsiveness Scale (SRS), the Autism Behavior Checklist (ABC) and the communication warning behavior sub-scale in CNBS-R2016 valued autism behaviors. The children’ s sleep habits questionnaire (CSHQ) assessed sleep conditions. Results The prevalence of sleep disorders in ASD children was significantly higher than that in TD (67.4% vs. 51%, p  < 0.01), and among them the four dimensions with the highest prevalence of sleep problems were bedtime resistance (25.6%), sleep anxiety (22.7%), sleep onset delay (17.9%) and daytime sleepiness (14.7%). ASD children with sleep onset delay or sleep anxiety had higher ABC, SRS scores and higher scores on communication warning behavior with sleep anxiety, with daytime sleepiness had higher ABC, SRS and CARS scores, and with bedtime resistance had higher SRS total scores. Differences in the neurodevelopmental level were not significant. Conclusion Children with ASD have a higher prevalence of sleep problems. Bedtime resistance, anxiety, sleep onset delay and daytime sleepiness may be related to the core symptoms, but not be related to the developmental level in ASD children. In the clinic, sleep assessment should be included in the routine of ASD visits, and during the intervention, sleep hygiene education is as important as the treatment of biological factors. Trial registration The study was approved by the ethics committee of the Children’s Hospital of Chongqing Medical University, Approval Number: (2018) IRB (STUDY) NO. 121, and registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR2000031194 ).

Abstract Study Objectives The objectives of this study were to examine the relationships between sleep regularity and nonsuicidal self-injury (NSSI), including lifetime NSSI history and daily NSSI urges. Methods Undergraduate students (N = 119; 18–26 years), approximately half of whom endorsed a lifetime history of repetitive NSSI, completed a 10-day actigraphy and ecological momentary assessment (EMA) protocol. A Sleep Regularity Index was calculated for all participants using scored epoch by epoch data to capture rapid changes in sleep schedules. Participants responded to EMA prompts assessing NSSI urge severity and negative affect three times daily over the 10-day assessment period. Results Results indicate that individuals with a repetitive NSSI history were more likely to experience sleep irregularity than those without a history of NSSI. Findings also suggest that sleep irregularity was associated with more intense urges to engage in NSSI on a daily basis, even after accounting for average daily sleep duration, sleep timing, negative affect, and NSSI history. Neither sleep duration nor sleep timing was associated with NSSI history nor daily NSSI urge intensity. Conclusions Findings suggest that sleep irregularity is linked with NSSI, including NSSI history and intensity of urges to engage in NSSI. The present study not only supports the growing evidence linking sleep disturbance with the risk for self-injury but also demonstrates this relationship using actigraphy and real-time assessments of NSSI urge severity. Findings highlight the importance of delineating the nuances in sleep irregularity that are proximally associated with NSSI risk and identifying targets for intervention.

Abstract Study Objectives We examined initial levels (intercepts) of sleep–wake problems in childhood and changes in sleep–wake problems across late childhood (slopes) as predictors of externalizing behavior problems, depressive symptoms, and anxiety in adolescence. To ascertain the unique effects of childhood sleep problems on adolescent mental health, we controlled for both childhood mental health and adolescent sleep problems. Methods Participants were 199 youth (52% boys; 65% White/European American, 35% Black/African American). Sleep–wake problems (e.g. difficulty sleeping and waking up in the morning) were assessed during three time points in late childhood (ages 9, 10, and 11) with self-reports on the well-established School Sleep Habits Survey. At age 18, multiple domains of mental health (externalizing behavior problems, depressive symptoms, and anxiety) and sleep–wake problems were assessed. Results Latent growth curve modeling revealed that children with higher levels of sleep–wake problems at age 9 had consistently higher levels of such problems between ages 9 and 11. The initial level of sleep–wake problems at age 9 predicted externalizing behaviors, depressive symptoms, and anxiety at age 18, controlling for mental health in childhood and concurrent sleep–wake problems in adolescence. The slope of sleep–wake problems from ages 9 to 11 did not predict age 18 mental health. Conclusions Youth who had higher sleep–wake problems during late childhood had higher levels of mental health problems in adolescence even after controlling for childhood mental health and concurrent sleep–wake problems. Findings illustrate that childhood sleep problems may persist and predict adolescent mental health even when potentially confounding variables are rigorously controlled.