The relationship between mental health problems and risk of infectious diseases: A Mendelian randomization analysis.

The causal effects of mental health problems on the risk of infectious diseases remain vague. Investigating them via observational study is challenging as it presents possible confounding factors. Therefore, the objective of this study was to utilize Mendelian randomization (MR) techniques to evaluate the causal relationship between mental health problems and the risk of infectious diseases. Multivariable MR analyses were performed using genome-wide association data for sleep disorders (N = 216,700), depression (N = 500,199), anxiety (N = 290,361), nervous feelings (N = 450,700), unspecified mental disorder (N = 218,792), pneumonia (N = 486,484), skin and subcutaneous tissue infection (SSTI; N = 218,792), intestinal infectious diseases (IIDs; N = 218,792), urinary tract infection (N = 463,010), and central nervous system (CNS) infections (N = 218,792) among individuals of European ancestry. Independent genetic variants significantly (P < 10-8) associated with each exposure were considered instruments. The primary analysis used an inverse variance-weighted method, followed by a series of sensitivity analyses. Genetically predicted sleep disorders were associated with an increased risk of SSTI (odds ratio [OR], 1.29 [95% confidence interval (CI), 1.05-1.59]; P = .017). Genetically predicted depression was linked with an increased risk of CNS infections (OR, 1.59 [95% CI, 1.00-2.53]; P = .049) and SSTI (1.24 [95% CI, 1.03-1.49]; P = .024). Genetically predicted anxiety was associated with IIDs (OR, 1.19 [95% CI, 1.03-1.37]; P = .017) and SSTI (OR, 1.21 [95% CI, 1.02-1.43]; P = .029). There was no significant causal evidence for genetic prediction of nervous feelings and unspecified mental disorders in IIDs, CNS infections, SSTI, pneumonia, or urinary tract infection. Sensitivity analyses showed that the above causal association estimates were robust. In this MR study, we demonstrated a causal relationship between sleep disorders, depression, anxiety, and the risk of infectious diseases. However, no evidence was found to support causality between nervous feelings, unspecified mental disorders, and the risk of infectious diseases.

Association between sleep quality and duration during pregnancy and risk of gestational diabetes: A systematic review and meta-analysis.

OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with several adverse maternal and neonatal outcomes. Previous studies reported a link between altered sleep and risk of GDM. This systematic review aims to collate evidence on the association between impaired sleep quality and duration, and the risk of GDM. METHODS: PubMed, Embase, Web of Science, and Scopus databases were searched up to January 20, 2024. Studies reporting the association between impaired sleep quality and duration and risk of GDM were included. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Random-effects meta-analysis was performed, and the results were reported as hazard ratio (HR) with 95% confidence interval (CI). RESULTS: 19 studies were included. Meta-analysis revealed a significant increase in the risk of GDM in pregnant women with poor sleep quality (i.e. <5 PSQI) (HR: 1.50, 95% CI: 1.26 - 1.78, p < .001). Sleep duration of <7 h (HR: 1.56, 95% CI.: 1.20 - 2.01, p < .001), and >8 h (HR: 2.32, 95% CI.: 1.19 - 4.50, p = .01) were also associated with a significantly higher incidence of GDM. CONCLUSION: Sleep quality and duration emerge as critical risk factors of GDM. Healthcare practitioners should consider targeted interventions to improve sleep hygiene as a potential measure for GDM prevention.

[Exposure to noise at home, emotional behaviour, and attention deficit hyperactivity disorder in 9-year-old children].

BACKGROUND: The purpose of this study was to assess the relationship between noise disturbance at home, sleep disturbance, and neurodevelopmental problems in 9-year-old children. MATERIAL AND METHODS: Noise exposure (frequency) perceived by 430 9-year-old children from the INMA cohort in Valencia, Spain, were reported by their mothers. The risk of developing attention deficit hyperactivity disorder, as well as internalizing and externalizing problems, were assessed using the Child Behaviour Checklist. RESULTS: The risk of internalizing (18%) and externalizing problems (11.7%) was higher compared to the risk of developing attention deficit hyperactivity disorder (1.4%) and were more prevalent in boys than in girls. The most common and bothersome noise exposures were generated at home (50.8-55.3%) and by neighbours (24.5%). The risk of neurodevelopmental problems was associated with sleep disturbances, particularly in relation with attention deficit hyperactivity disorder (16.1 vs 4%; p<0.001), with no differences observed between sex. Sleep disturbances were significantly more common in children exposed to noise from household or neighbours. High levels of noise exposure from street traffic and neighbours were linked to an increased risk of attention deficit hyperactivity disorder, while noise from other children at home was associated with a higher risk of internalizing and externalizing problems. These effects remained consistent even after adjusting for sleep disturbances. CONCLUSIONS: High levels of noise annoyance from various sources perceived at home are differently associated with the risks of different neurodevelopmental problems in 9-year-old boys and girls, with sleep disturbances not influencing this relationship.

Sleep Disturbance and Subsequent Suicidal Behaviors in Preadolescence.

Importance: Suicide is a leading cause of death among adolescents, who demonstrate high rates of sleep disturbance. Poor sleep appears to confer risk for suicide, but longitudinal investigation of suicidal behaviors remains rare, particularly in the transition from childhood to early adolescence. Objective: To evaluate sleep disturbances in preadolescent children (aged 9 and 10 years) in association with longitudinal risk for suicidal ideation and suicide attempts at the 2-year follow-up. Design, Setting, and Participants: This cohort study used data from the Adolescent Brain Cognitive Development Study between June 2016 and January 2021. This dataset included children aged 9 or 10 years at baseline and their parents or caregivers who were recruited at 21 sites across the US. Data were analyzed July 2023 to June 2024. Exposures: The Sleep Disturbance Scale for Children, a 26-item parent-reported inventory, was administered at baseline, generating a total score and 6 subscales. Central covariates included the Child Behavior Checklist Anxiety and Depression subscale and demographic variables. Main Outcomes and Measures: The computerized Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-COMP) assessed parent- and youth-reported suicidal behaviors and outcomes (none; passive, active nonspecific, and active specific suicidal ideation; and suicide attempt) at the 2-year follow-up. Sleep disturbance was further grouped by symptom severity (minimal, moderate, elevated, high, and severe). Results: Of the 10 136 youths who reported no baseline suicidal ideation or behavior, 8807 youths (mean [SD] age, 9.9 [0.6] years; 4507 males [51.2%]; 197 Asian individuals [2.2%], 1273 Black individuals [14.5%], and 5775 White individuals [65.6%]) completed the K-SADS-COMP assessment at the 2-year follow-up and were included in the analysis. At the follow-up, 8044 participants (91.3%) had no suicidal behavior, 317 (3.6%) had passive suicidal ideation, 258 (2.9%) had active nonspecific suicidal ideation, 130 (1.5%) had active specific suicidal ideation, and 58 (0.7%) had a first-time suicide attempt. Baseline sleep disturbance was associated with increased incidence risk for suicidal behavior at age 12 years (odds ratio, 2.68; 95% CI, 1.44-4.98; P = .002), adjusting for covariates. Individual subscales or items demonstrating associations with risk included disorders of excessive somnolence and frequency of nightmares. Conclusions and Relevance: Results of this longitudinal cohort study revealed that disturbed sleep at age 10 years was associated with risk for suicidal thoughts and behaviors in the next 2 years. The findings highlight the potential importance of sleep as a visible risk factor and intervention target in the prevention of youth suicide.

Primary Care Management of Sleep Disturbances Associated With Concussion/Mild Traumatic Brain Injury in Service Members and Veterans.

Objective: To develop an evidence and consensus-based clinical recommendation (CR) regarding primary care management of insufficient and disturbed sleep associated with concussion/mild traumatic brain injury (mTBI) in service members and veterans.Participants: A multidisciplinary expert working group (EWG) of 23 subject matter experts was selected by the Defense Health Agency (DHA) Traumatic Brain Injury Center of Excellence (TBICoE), based on relevant expertise and experience, from candidates nominated by DHA communities of interest.Evidence: The TBICoE core working group (CWG) conducted a literature search using PubMed and Google Scholar databases for articles relevant to sleep and mTBI from 2014 to 2018. Resulting studies were reviewed by the CWG, and questions addressing gaps in the literature were formulated.Consensus Process: Questions addressing gaps in the literature were distributed to the EWG, and consensus was achieved over the course of 5 online meetings. Based on the available evidence and EWG consensus, TBICoE developed a draft of the clinical recommendations and submitted it to the EWG for review and feedback. Feedback was adjudicated by TBICoE, and areas of nonconsensus were addressed via email utilizing a modified Delphi method.Conclusion: The evidence and EWG agree that addressing sleep early following mTBI is imperative to promoting recovery and preventing chronic mTBI symptoms, maladaptive sleep behaviors, and chronic sleep disorders.Prim Care Companion CNS Disord 2024;26(5):23nr03691. Author affiliations are listed at the end of this article.

Sleep disruptions and associated risk factors among Iranians during Ramadan amid COVID-19 pandemic: A nationwide cross-sectional study.

The global COVID-19 pandemic has disrupted daily routines and heightened stress levels worldwide, impacting various aspects of health, including sleep. This cross-sectional study conducted in Iran aimed to investigate the impact of Ramadan Intermittent Fasting (RIF) during the pandemic on sleep disturbances and associated risk factors in adults aged ≥ 18 years. Data was collected from Iranian participants observing RIF. A structured electronic questionnaire, translated into Persian, gathered information on sociodemographics, dietary habits, sleep parameters, physical activity, and more. The study assessed sleep quality, duration, and disturbances and conducted a thorough analysis to identify risk factors associated with sleep disruptions. The study revealed that 48% of the participants experienced sleep disturbances during RIF, with 21% reporting poor sleep quality and 46% having unusual sleep duration. Various factors were associated with an elevated risk of sleep disruptions, including body mass index, place of residence, income levels, cohabitation status, family history of obesity, hypertension, diabetes, heart disease, personal history of obesity, weight fluctuations, Shisha smoking, and unemployment. The results highlight the critical importance of health promotion strategies tailored to cultural contexts. This study advocates for enhanced health education initiatives focusing on sleep hygiene and stress management, especially during periods of significant lifestyle alterations like Ramadan amid a global pandemic. Such initiatives are vital in mitigating sleep disturbances and promoting overall well-being in populations facing unique health challenges.

Correlation of Co-Morbidities with Symptom Severity of Children with Autism Spectrum Disorder: A Cross-Sectional Survey.

This study aims to identify potential correlations of the severity of symptoms of children with autism spectrum disorder (ASD) with serum nutritional levels, body composition indicators, diet partiality, and sleep disturbances. The cohort of this cross-sectional study included 120 children with ASD and 110 typically developing (TD) children to assess symptoms of ASD, and to measure serum levels of vitamins and minerals and the body composition values. Diet partiality and sleep disturbances were assessed by administering questionnaires. The serum levels of folic acid, copper, and vitamin B were lower in children with ASD than in TD children, while magnesium and homocysteine were higher (p < 0.05). Children with ASD had greater chest circumference, abdominal skinfold thickness, and body mass index (BMI) than TD children (p < 0.05), and higher prevalences of diet partiality and sleep disturbances (p < 0.001). Lower vitamin A levels and higher vitamin D levels were related to social impairment in children with ASD. Moreover, there were significantly positive correlations of BMI, chest circumference, diet partiality, and sleep disturbances with severity of ASD symptoms (p < 0.05). Collectively, rational nutritional supplementation, dietary management, and behavioral interventions are essential for children with ASD.

Prevalence and risk factors of sleep disorders in inflammatory bowel disease: a cross-sectional study.

BACKGROUND: Sleep disorders are one of the major public health problems, which can potentially induce inflammation and exacerbate disease activity, resulting in compromised sleep quality. This study aimed to investigate the prevalence and risk factors associated with sleep disorders among patients with inflammatory bowel disease (IBD). METHODS: Between March 2023 and February 2024, the Pittsburgh Sleep Quality Index was employed to assess sleep quality in both IBD patients and healthy control subjects. Univariate and multivariate analysis were performed to identify the risk factors associated with SD in IBD patients. RESULTS: Overall, 208 IBD patients [150 Crohn's disease (CD) and 58 ulcerative colitis (UC)] and 199 healthy individuals were included. Sleep disorders were observed in 59.6% of patients with IBD, with a higher prevalence among females (63.5%) compared to males (56.9%) (P = 0.476). The prevalence of sleep disorders in IBD patients was significantly higher than that found in healthy controls (37.7%) (all P < 0.01). The prevalence of sleep disorders  among CD and UC patients was 58% and 63.8%, respectively (P = 0.291). The multivariate analysis revealed that older age (OR, 1.070; 95% CI: 1.035-1.105, P = 0.000), smoking (OR, 2.698; 95% CI: 1.089-6.685, P = 0.032), and depression (OR, 4.779; 95% CI: 1.915-11.928, P = 0.001) were risk factors for sleep disorders in IBD patients. However, higher body mass index (OR, 0.879; 95% CI: 0.790-0.977, P = 0.017) was identified as a protective factor. CONCLUSION: Sleep disorders are common among IBD patients regardless of activity levels. Smoking and depression are the major risk factors.

Serum cotinine levels and adolescents' sleep health outcomes from NHANES 2005 to 2018.

The association between tobacco smoke exposure and sleep has been widely discussed, but the correlation between serum cotinine levels and sleep health outcomes in adolescents has not been well described. This study aimed to further evaluate the association between serum cotinine levels and sleep health outcomes in adolescents using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. This cross-sectional study included participants aged 16-19 years from the NHANES 2005-2018. A weighted multivariate logistic regression model was used for the primary analysis. A restricted cubic spline (RCS) model was employed to investigate the non-linear association between serum cotinine levels and trouble sleeping. Subgroup analyses based on population characteristics were also conducted. In total, 2630 participants were included, which are representative of the 11.5 million US adolescents. Higher serum cotinine levels (≥ 3 ng/ml) were significantly associated with trouble sleeping in the fully adjusted model (odds ratio [OR] 1.817). The RCS model revealed a non-linear relationship between serum cotinine levels and trouble sleeping. Subgroup analyses indicated that this relationship was consistent and stable across various population characteristics. Serum cotinine levels are associated with sleep health outcomes in adolescents, with high serum cotinine levels being linked to increased trouble sleeping and longer or shorter sleep duration.

Association Between Abnormal Sleep Duration and Stroke in the United States.

INTRODUCTION: The new American Heart Association Life's Essential 8 construct of ideal cardiovascular health now includes sleep duration. Little is known, however, about sleep duration in individuals with prior stroke. Our objective was to compare sleep duration among individuals with and without prior stroke. METHODS: Using the National Health and Nutrition Examination Surveys (NHANES) database (2005-2018), individuals 18 years or older were identified (n = 37,987 without self-reported stroke; n = 1,572 with self-reported stroke). Prevalence of normal sleep duration (7-8 or 6-8 hours/night because of multiple definitions in the literature) was compared between persons with and without self-reported history of stroke using the Rao-Scott χ2 test. Multinomial logistic regression analysis was used to evaluate the relationship between prior stroke and abnormal sleep before and after adjusting for demographic and clinical variables. RESULTS: Compared with individuals without stroke, those with prior stroke were more likely to report >8 hours/night (unadjusted odds ratio (OR) 2.03, 95% confidence interval (CI) 1.64-2.51), <7 hours/night (1.29, 1.08-1.53), and <6 hours/night (1.87, 1.53-2.29). After adjustment, these associations were attenuated (adjusted OR 1.54, 95% CI 1.22-1.94 and 1.15, 0.96-1.38 and 1.50, 1.21-1.85). DISCUSSION: US stroke survivors are more likely to have abnormal sleep duration than those without prior stroke. Limitations of this study include the cross-sectional and self-reported nature of the data.

Melatonin hormone level in nurses and factors affecting it; Investigation according to shift working pattern.

This study aimed to determine the relationship between melatonin hormone levels, sleep, and factors affecting sleep, psychological resilience, and depression in nurses working with a shift work system. Conducted between February 5-12, 2021, at the Training and Research Hospital in Agri province, the descriptive study included 41 night shift nurses and 35 day shift nurses, totaling 76 participants. Blood samples for melatonin analysis were collected and data were gathered using the Sociodemographic Information Form, Epworth Sleepiness Scale, Sleep Disorder Scale Short Form, Brief Psychological Resilience Scale, and Beck Depression Scale Short Form. Melatonin analysis was performed using the ELISA method. Statistical significance was set at p < 0.05. Results showed that sleep disorders were present in all nurses with <7 h of daily sleep. Factors such as the use of sleeping pills, marital status, age, and gender affected sleep disorders. Mean scores for melatonin levels were 67.82 ± 40.20 for night shift nurses and 68.08 ± 39.62 for day shift nurses, with no significant difference between shifts. Similarly, no significant differences were found in daytime sleepiness (7.49 ± 4.47 vs. 7.51 ± 4.65), sleep disturbance (24.71 ± 7.33 vs. 25.23 ± 6.64), psychological resilience (18.42 ± 4.19 vs. 17.89 ± 4.74), or depression (3.22 ± 2.60 vs. 3.49 ± 3.35). Nurses exhibited mild sleep disturbances, low depression tendencies, and moderate psychological resilience. Increased daytime sleepiness and sleep disorders correlated with higher depression tendencies and lower psychological resilience. Hospital management and education units are recommended to conduct interventions on sleep quality, depression, and psychological resilience to raise awareness among nurses.

Association between sleep disturbances and challenging behavior in children and adolescents with Angelman syndrome.

Angelman Syndrome (AS) is a neurodevelopmental disorder with severe symptoms and associated comorbidities. It is caused by the inactivity or lack of the UBE3a gene. Symptoms of the syndrome include intellectual disability and developmental delay. The current study investigated sleep disturbances (SD) in children and adolescents with AS, associations between SD and possible predictors of SD. Variables examined included age, gender, newborn and infancy history, challenging behavior, type of therapy received, genetic type of AS, and seizures. The sample included data from 109 participants with a mean age of 8.21, accessed via the Global Angelman Syndrome Registry. Chi-square tests were carried out to assess the associations between the variables and a logistical regression was carried out to assess the possible predictors of SD. Associations were found between SD and certain repetitive behaviors: slapping walls, focal hand movements, and agitation at new situations. From these associations, a regression formed a predictive model for sleep disturbances. The findings of this research demonstrated the importance of investigating the relationship between sleep disturbances and challenging behavior in children and adolescents with AS and the need for further research in this area.

Machine learning approach to investigate pregnancy and childbirth risk factors of sleep problems in early adolescence: Evidence from two cohort studies.

BACKGROUND: This study aimed to predict early adolescent sleep problems using pregnancy and childbirth risk factors through machine learning algorithms, and to evaluate model performance internally and externally. METHODS: Data from the China Jintan Child Cohort study (CJCC; n=848) for model development and the US Healthy Brain and Behavior Study (HBBS; n=454) for external validation were employed. Maternal pregnancy histories, obstetric data, and adolescent sleep problems were collected. Several machine learning techniques were employed, including least absolute shrinkage and selection operator, logistic regression, random forest, naïve bayes, extreme gradient boosting, decision tree, and neural network. The area under the receiver operating characteristic curve, sensitivity, specificity, accuracy, and root mean square of residuals were used to evaluate model performance. RESULTS: Key predictors for CJCC adolescents' sleep problems include gestational age, birthweight, duration of delivery, and maternal happiness during pregnancy. In HBBS adolescents, the duration of postnatal depressive emotions was the primary perinatal predictor. The prediction models developed in the CJCC had good-to-excellent internal validation performance but poor performance in predicting the sleep problems in HBBS adolescents. CONCLUSION: The identification of specific perinatal risk factors associated with adolescent sleep problems can inform targeted interventions during and after pregnancy to mitigate these risks. Health providers should consider integrating these predictive factors into routine pre- and postnatal assessments to identify at-risk populations. The variability in model performance across different cohorts highlights the need for context-specific models and the cautious application of predictive analytics across diverse populations. Future research should focus on refining predictive models to account for such variations, potentially through the incorporation of additional socio-cultural factors and genetic markers. This study emphasizes the importance of personalized and culturally sensitive approaches in the prediction and management of adolescent sleep problems, leveraging advanced computational methods to enhance maternal and child health outcomes.

SPECT/CT imaging of poor sleep quality in people with epilepsy.

PURPOSE: To analyze the characteristics of cerebral blood flow changes of poor sleep quality in people with epilepsy(PWE). METHODS: 90 PWE treated in The General Hospital of Ningxia Medical University from December 2021 to September 2023 were divided into poor sleep quality group (PSQG) and good sleep quality group (GSQG) according to the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), to compare the differences in cerebral perfusion between the two groups of patients, so as to summarize the characteristics of cerebral blood flow changes of poor sleep quality in PWE. RESULTS: The positive rate of interictal single-photon emission computed tomography/computed tomography (SPECT/CT) was 76.7 %(69/90), which showed localized cerebral hypoperfusion. There was no statistical difference between the two groups of PSQG (N=29) and GSQG (N=61) in terms of the positive rate of SPECT/CT, the number of hypoperfusion foci, and the range of hypoperfusion foci. In PSQG and GSQG, 9 patients(31.0 %) and 6 patients(9.8 %) showed hypoperfusion in the right parietal lobe, respectively, and the difference between the two groups was statistically significant (P=0.017). There was no statistical difference the rate of the interictal epileptiform discharges (IEDs) and the brain area of IEDs in electroencephalography(EEG) between the two groups. CONCLUSION: SPECT/CT of poor sleep quality in PWE demonstrated hypoperfusion in the right parietal lobe.

Sleep disorder syndromes of post-acute sequelae of SARS-CoV-2 (PASC) / Long Covid.

INTRODUCTION: COVID-19 infection has resulted in a high prevalence of a post-infectious syndrome, known as post-acute sequelae of SARS-CoV-2 (PASC) or "Long COVID". PASC is a heterogeneous disease with a high prevalence of sleep disturbances, varying from an insomnia disorder to excessive daytime sleepiness. METHODS: Patients seen in the Covid Survivorship Program at the Beth Israel Deaconess Medical Center Boston, USA, were screened for sleep disorders as part of a comprehensive multi-system evaluation. Those who screened positive were referred for a comprehensive sleep evaluation in a dedicated COVID-19-Sleep clinic, followed by diagnostic sleep testing and treatment. This report summarizes patients who completed an American Academy of Sleep Medicine (AASM) accredited facility-based diagnostic evaluation. International Classification of Sleep Disorders 3rd Edition-Revised criteria were met for all diagnoses. RESULTS: In 42 patients with PASC, five categories of sleep disorder syndromes were observed following a sleep clinic evaluation, including obstructive sleep apnea, chronic insomnia disorder, primary hypersomnia, REM behavior disorder (RBD), and new onset circadian phase delay. Seven patients met criteria for idiopathic hypersomnia, and two had narcolepsy type 2. RBD patients were infected in three different waves; circadian disturbance patients were all infected in the winter wave of 2020/21, and the primary hypersomnolence group occurred during all waves, predominantly the initial wave of 2020. A peculiar form of insomnia was a persistent loss of sleep regularity. CONCLUSIONS: Specific sleep symptoms/syndromes are reported in this select group of patients with PASC/Long Covid. As new onset sleep complaints are prevalent in PASC, we recommend a complete clinical and investigative sleep evaluation for persistent severe sleep symptoms following COVID-19 infection.

Genetically predicted effects of 10 sleep phenotypes on revision of knee arthroplasty: a mendelian randomization study.

BACKGROUND: Accumulating evidence has suggested that sleep disturbances and disorders are common in patients who undergo knee arthroplasty. Revision surgery represents one of the most catastrophic outcomes of knee arthroplasty. However, it remains unclear whether sleep traits are the causes or consequences of knee arthroplasty revision. This study aimed to genetically examine the relationships between sleep traits and knee arthroplasty revision. METHODS: To determine the causal relationship between sleep traits and knee arthroplasty revision, we employed two-sample Mendelian randomization (MR) using summary statistics from the largest publicly available genome-wide association studies (GWASs). The MR design uses genetic variants as instrumental variables to help separate causal relationships from non-causal associations. The main analyses included an inverse variance weighted (IVW) meta-analysis to obtain primary effect estimates. Sensitivity analyses involving the weighted median approach and MR-Egger regression were also conducted to check for potential pleiotropic biases. Numerous complementary sensitivity analyses were also performed to identify statistically significant causal correlations when there were horizontal pleiotropy and heterogeneity across variants. Finally, a reverse MR analysis was performed to evaluate the possibility of reverse causation. RESULTS: In the absence of heterogeneity and horizontal pleiotropy, the IVW method revealed that genetically-predicted short sleep duration short sleep duration (average sleep duration of 24 h is 6 h or less) was positively correlated with the risk of knee arthroplasty revision (odds ratio = 1.03, 95% confidence interval = 1.01-1.05, and P = 0.003), while the association between genetically-predicted long sleep duration and knee arthroplasty was negative. The reverse MR analysis did not yield evidence supporting reverse causality relation between knee arthroplasty revision and sleep phenotypes. CONCLUSION: This research indicated that, of the 10 sleep phenotypes we analyzed, only sleep duration was causally associated with knee arthroplasty revision. These discoveries added to the understanding of the role of sleep traits in the etiology of knee arthroplasty revision, which might further expand our insights into the prevention of knee arthroplasty revision.

Effects of a nurse-led aftercare telehealth programme on sleep and psychological outcomes of adult burn survivors: A randomized controlled trial.

INTRODUCTION: Burn survivors often experience a plethora of post-burn residual needs following their discharge including psychological issues and poor sleep. These needs are often overlooked with a significant focus on resolving physical issues. Aftercare support is particularly limited. The emergence of the Coronavirus pandemic worsened the situation as burn survivors were unable to return to utilise available services outpatient basis. Thus, an innovative nurse-led aftercare programme was developed and delivered via WeChat social medial platform. The current study sought to examine the effects of the intervention on anxiety, depression, and sleep pattern among adult burn survivors. METHODS: This is a randomised controlled trial. Sixty adult burn survivors were randomly assigned to intervention and control groups. Participants in the intervention group received the nurse-led aftercare programme which involved pre-discharge support and active follow-up on WeChat over an 8-week period and an additional 4 weeks to examine the sustained effects of the intervention. Data were collected at three timepoints: baseline (T0), post-intervention (T1), and follow-up (T2). Generalised estimating equation was employed to ascertain the group, time, and interaction effects. RESULTS: Using Bonferroni corrected p value (0.017), Anxiety and depression improved at T1 and sustained at T2 with mean scores demonstrating a reduction in both variables and total score. No statistically significant improvement was however observed regarding sleep. CONCLUSION: Continuous, comprehensive support is required by burn survivors following discharge to improve psychological outcomes. Delivering aftercare via WeChat should be considered a feasible option to supporting burn survivors following discharge.