Circadian disturbances by altering the light-dark cycle negatively affects hematopoietic function of bone marrow in mice.

Circadian rhythms in metabolically active tissues are crucial for maintaining physical health. Circadian disturbance (CD) can cause various health issues, such as metabolic abnormalities and immune and cognitive dysfunctions. However, studies on the role of CD in immune cell development and differentiation, as well as the rhythmic expression of the core clock genes and their altered expression under CD, remain unclear. Therefore, we exposed C57bl/6j mice to repeated reversed light-dark cycles for 90 days to research the effects of CD on bone marrow (BM) hematopoietic function. We also researched the effects of CD on endogenous circadian rhythms, temporally dependent expression in peripheral blood and myeloid leukocytes, environmental homeostasis within BM, and circadian oscillations of hematopoietic-extrinsic cues. Our results confirmed that when the light and dark cycles around mice were frequently reversed, the circadian rhythmic expression of the two main circadian rhythm markers, the hypothalamic clock gene, and serum melatonin, was disturbed, indicating that the body was in a state of endogenous CD. Furthermore, CD altered the temporally dependent expression of peripheral blood and BM leukocytes and destroyed environmental homeostasis within the BM as well as circadian oscillations of hematopoietic-extrinsic cues, which may negatively affect BM hematopoiesis in mice. Collectively, these results demonstrate that circadian rhythms are vital for maintaining health and suggest that the association between CD and hematopoietic dysfunction warrants further investigation.

Risk and Protective Factors of Self-harm and Suicidality in Adolescents: An Umbrella Review with Meta-Analysis.

Suicide remains the second most common cause of death in young people aged 10-24 years and is a growing concern globally. The literature reports a vast number of factors that can predispose an adolescent to suicidality at an individual, relational, community, or societal level. There is limited high-level research identifying and understanding these risk and protective factors of adolescent suicidality. The present study used an umbrella review and meta-analysis to synthesize evidence from the review literature in the past 20 years on risk and protective factors of self-harm and suicidality (behavior and ideation) in adolescents. The umbrella review included 33 quantitative reviews with 1149 individual studies on suicidality and self-harm. Based on the data synthesis, it compared the public health impact of exposure on the population of the identified exposure. Bullying victimization was the most attributed environmental exposure for suicidality. The other identified significant school and individual factors were sleeping disturbance, school absenteeism, and exposure to antidepressants. Several significant vulnerable young populations were identified with significantly higher prevalence of suicidality, including lesbian, gay, bisexual, transgender, queer (or questioning) youth and those with mental health disorders, problem behaviors, previous suicidality, self-harm, and gender (female). A person-centered approach emphasizing connectedness and bully-free school environments should be a priority focus for schools, health professionals, and public health policymakers.

Body mass mediates spatio-temporal responses of mammals to human frequentation across Italian protected areas.

Protected area (PA) networks are a pivotal tool to fight biodiversity loss, yet they often need to balance the mission of nature conservation with the socio-economic need of giving opportunity for outdoor recreation. Recreation in natural areas is important for human health in an urbanized society, but can prompt behavioural modifications in wild animals. Rarely, however, have these responses being studied across multiple PAs and using standardized methods. We deployed a systematic camera trapping protocol at over 200 sites to sample medium and large mammals in four PAs within the European Natura 2000 network to assess their spatio-temporal responses to human frequentation, proximity to towns, amount of open habitat and topographical variables. By applying multi-species and single-species models for the number of diurnal, crepuscular and nocturnal detections and a multi-species model for nocturnality index, we estimated both species-specific- and meta-community-level effects, finding that increased nocturnality appeared the main strategy that the mammal meta-community used to cope with human disturbance. However, responses in the diurnal, crepuscular and nocturnal site use were mediated by species' body mass, with larger species exhibiting avoidance of humans and smaller species more opportunistic behaviours. Our results show the effectiveness of standardized sampling and provide insights for planning the expansion of PA networks as foreseen by the Kunming-Montreal biodiversity agreement.

Associations between sleep duration, sleep disturbance and cardiovascular disease biomarkers among adults in the United States.

BACKGROUND: Sleep problems are associated with abnormal cardiovascular biomarkers and an increased risk of cardiovascular diseases (CVDs). However, studies investigating associations between sleep problems and CVD biomarkers have reported conflicting findings. This study examined the associations between sleep problems and CVD biomarkers in the United States. METHODS: Data were from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) and analyses were restricted to adults ≥ 20 years (n = 23,749). CVD biomarkers [C-reactive Protein (CRP), low-density lipoproteins, high-density lipoproteins (HDL), triglycerides, insulin, glycosylated hemoglobin (HbA1c), and fasting blood glucose] were categorized as abnormal or normal using standardized cut-off points. Sleep problems were assessed by sleep duration (short [≤ 6 h], long [≥ 9 h], and recommended [> 6 to < 9 h) and self-reported sleep disturbance (yes, no). Multivariable logistic regression models explored the associations between sleep duration, sleep disturbance, and CVD biomarkers adjusting for sociodemographic characteristics and lifestyle behaviors. RESULTS: The mean sleep duration was 7.1 ± 1.5 h and 25.1% of participants reported sleep disturbances. Compared to participants with the recommended sleep duration, those with short sleep duration had higher odds of abnormal levels of HDL (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI] = 1.05-1.39), CRP (aOR = 3.08, 95% CI = 1.18-8.05), HbA1c (aOR = 1.25, 95% CI = 1.05-1.49), and insulin (aOR = 1.24, 95% CI = 1.03-1.51). Long sleep duration was associated with increased odds of abnormal CRP (aOR = 6.12, 95% CI = 2.19-17.15), HbA1c (aOR = 1.54, 95% CI = 1.09-2.17), and blood glucose levels (aOR = 1.45, 95% CI = 1.07-1.95). Sleep disturbance predicted abnormal triglyceride (aOR = 1.18, 95% CI = 1.01-1.37) and blood glucose levels (aOR = 1.24, 95% CI = 1.04-1.49). CONCLUSION: Short and long sleep durations were positively associated with abnormal CRP, HDL, HbA1c, blood glucose, and insulin levels, while sleep disturbance was associated with abnormal triglyceride and blood glucose levels. Since sleep is a modifiable factor, adopting healthy sleeping habits may create a balanced metabolism and reduce the risk of developing a CVD. Our study may provide insights into the relationship between sleep duration, sleep disturbance, and CVD risk.

The CCJR® Charles A. Engh, Sr. Excellence in Knee Research Award: Remote Monitoring of Sleep Disturbance Following Total Knee Arthroplasty: A Cautionary Note.

BACKGROUND: Sleep disturbances are common after total knee arthroplasty (TKA). Despite the rising popularity of wearables to track sleep, little evidence exists in the arthroplasty literature regarding their efficacy. We aimed to correlate validated wearable sleep metrics with patient-reported sleep quality following TKA. METHODS: Patients undergoing primary TKA were consecutively enrolled. Patients used a wearable device preoperatively and 90 days postoperatively to track five previously-validated measures of sleep. Each month, they rated their sleep quality. Wearable sleep data was correlated with patient-reported sleep quality using a point biserial correlation test. Categorical data were compared using Chi-square tests. A total of 110 patients were included. RESULTS: Preoperatively, 20.8% of patients reported "fairly bad" or "very bad" sleep; this increased to 44.4% 30 days postoperatively, then decreased to 26.5% 60 days postoperatively, and to 20.2% 90 days postoperatively. At 30 days postoperatively, time in bed, time asleep, and minutes of rapid eye movement (REM) sleep weakly correlated with patient-reported sleep quality (correlations 0.356, 0.345, and 0.345, respectively; P < 0.001). Sleep quality did not correlate with any wearable metric collected 60 or 90 days postoperatively. CONCLUSION: Patient-reported sleep quality following TKA initially worsened postoperatively, then improved to preoperative levels by 90 days. Time in bed, time asleep, and REM sleep minutes only weakly correlated with patient-reported sleep quality at 30 days; no other correlations were detected. Surgeons that utilize remote monitoring following TKA should be aware that surrogate measures generated from these devices may correlate weakly, if at all, with the patient-reported outcome of the parameter being studied.

Menstrual abnormalities effects on clinical features and in vitro fertilization pregnancy outcomes in women with polycystic ovarian syndrome.

BACKGROUND: The diagnostic criteria and phenotypes in polycystic ovary syndrome are heterogeneous. Currently, it is unclear how to assess a patient's prognosis based on the onset time of menstruation disturbance. Evidence on this topic is scarce and has mainly focused on menstrual patterns. OBJECTIVE: This study aimed to assess the association between the onset time of menstrual disturbance and clinical features and in vitro fertilization pregnancy outcomes in patients with polycystic ovary syndrome. STUDY DESIGN: Our study was a secondary analysis of data collected as part of a randomized controlled trial conducted to compare live birth rates between fresh embryo transfer and frozen embryo transfer in 1508 individuals with polycystic ovary syndrome. Here, 1500 participants were classified into 2 groups according to the onset time of menstrual disturbance: immediately after menarche (early group) and after at least 1 year of regular menstruation (late group). We compared the prepregnancy clinical features, variables of ovarian stimulation, pregnancy outcomes after the initial cycle of embryo transfer, and perinatal and neonatal complications in the 2 groups. RESULTS: Compared with the late group, the early group had more antral follicles (32.00 [range, 27.25-39.50] vs 28.00 [range, 24.00-36.00]; P<.001), an elevated level of antimüllerian hormone (7.02 ng/mL [range, 3.60-11.47] vs 5.66 ng/mL [range, 3.65-8.92]; P=.024), a higher level of baseline luteinizing hormone (10.01±5.93 vs 8.51±5.53 IU/l; P<.001) and luteinizing hormone-to-follicle-stimulating hormone ratio (1.51 [range, 1.00-2.32] vs 1.45 [range, 0.92-2.13]; P<.001), lower levels of fasting glucose (5.47 mmol/L [range, 5.11-5.73] vs 5.50 mmol/L [range, 5.17-5.76]; P<.001), and insulin at 2 hours after 75-g oral glucose tolerance test (56.85 µU/mL [range, 34.63-94.54] vs 59.82 µU/mL [range, 33.56-94.67]; P=.027), a higher level of high-density lipoprotein (1.26 mmol/L [range, 1.04-1.37] vs 1.21 mmol/L [range, 1.07-1.45]; P=.006). During in vitro fertilization, the early group had a higher level of peak estradiol (4596.50 pg/mL [range, 2639.25-6321.00] vs 3954.00 pg/mL [range, 2378.75-6113.50]; P=.013), and luteinizing hormone (2.52 IU/L [range, 1.40-4.21] vs 1.93 IU/L [range, 0.91-3.32]; P=.010) on the day of human chorionic gonadotropin trigger. There was no statistically significant difference observed in the number of oocytes and embryos, the rates of pregnancy and live birth, and the risks of obstetrical and neonatal between the 2 groups. CONCLUSION: An early onset of menstrual disturbance in patients with polycystic ovary syndrome may be associated with slightly more severe reproductive features and slightly milder metabolic features. Nonetheless, the outcomes of in vitro fertilization and the initial cycle of embryo transfer were comparable between the 2 groups.

Effect of memory therapy on enhancing postoperative cognitive function recovery and alleviating mood disturbances in brain glioma patients.

OBJECTIVE: To assess the impact of memory therapy on enhancing recovery of postoperative cognitive function and alleviating mood disturbances in brain glioma patients. METHODS: This retrospective study included 160 brain glioma patients who met the inclusion criteria from August 2019 to July 2022. They were divided into a control group and an observation group according to according to different treatment method, with 80 cases in each group. The control group was given routine rehabilitation, while the observation group received additional memory therapy. The study compared complications between the two groups, focusing on the changes in cognitive function [using the Neurobehavioral Cognitive Status Check Scale (NCSE), Clinical Dementia Score (CDR)], mood disturbances [measured by the State Anxiety Scale (S-AI), Trait Anxiety Scale (T-AI), and Hospital Stress Scale score], health-promoting behaviors [evaluated with the Chinese Version of Health Promotion Lifestyle Scale-II (HPLP-II)], coping styles [assessed through the Medical Response Questionnaire (MCQM)], and cancer-related fatigue [using the Cancer-Related Fatigue Scale (CFS)] before and after intervention were observed. A total of 160 glioma cases were classified into either a good or poor prognosis category, based on their prognosis 12 months post-surgery. Baseline data from both groups were compared, and multivariate logistic regression was employed to analyze the factors influencing outcomes in glioma patients. RESULTS: After intervention, the observation group exhibited higher scores of NCSE, HPLP-II, and CFS, but lower scores on the CDR, S-AI, T-AI and hospital stress scale compared to the control group (all P<0.05). Additionally, within the MCQM, the observation group showed reduced avoidance and yield scores, and an increased facing score, compared to the control group (all P<0.05). No significant difference was observed between the complication rates of the control (8.75%) and observation groups (3.75%) (P>0.05). However, the incidence of adverse prognosis was significantly lower in the observation group compared to the control group (8.75% vs 22.50%) (P<0.05). There were no significant differences in age, maximum tumor diameter, preoperative Karnofsky Performance Status score, gender or lesion location between the poor prognosis group and the good prognosis group (all P>0.05). The poor prognosis group had a higher proportion of patients in clinical stages III-IV and a lower proportion receiving recall therapy compared to good prognosis group (P<0.05). Multivariate logistic regression analysis identified clinical stage (III-IV stage) [OR=3.562 (95% CI: 1.476-8.600)] as a risk factor for poor prognosis after brain glioma surgery (P<0.05), while undergoing memory therapy [ß=0.330 (95% CI: 0.99-0.842)] acted as a protective factor against poor prognosis (P<0.05). CONCLUSION: Memory therapy has been shown to promote postoperative cognitive function recovery in glioma patients, reduce anxiety and stress response, bolster coping mechanisms and health-promoting behavior, diminish cancer-related fatigue, and improve patient prognosis.

Effect of traditional Chinese medicine on metabolism disturbance in ischemic heart diseases.

ETHNOPHARMACOLOGICAL RELEVANCE: Ischemic heart diseases (IHD), characterized by metabolic dysregulation, contributes majorly to the global morbidity and mortality. Glucose, lipid and amino acid metabolism are critical energy production for cardiomyocytes, and disturbances of these metabolism lead to the cardiac injury. Traditional Chinese medicine (TCM), widely used for treating IHD, have been demonstrated to effectively and safely regulate the cardiac metabolism reprogramming. AIM OF THE REVIEW: This study discussed and analyzed the disturbed cardiac metabolism induced by IHD and development of formulas, extracts, single herb, bioactive compounds of TCM ameliorating IHD injury via metabolism regulation, with the aim of providing a basis for the development of clinical application of therapeutic strategies for TCM in IHD. MATERIALS AND METHODS: With "ischemic heart disease", "myocardial infarction", "myocardial ischemia", "metabolomics", "Chinese medicine", "herb", "extracts" "medicinal plants", "glucose", "lipid metabolism", "amino acid" as the main keywords, PubMed, Web of Science, and other online search engines were used for literature retrieval. RESULTS: IHD exhibits a close association with metabolism disorders, including but not limited to glycolysis, the TCA cycle, oxidative phosphorylation, branched-chain amino acids, fatty acid ß-oxidation, ketone body metabolism, sphingolipid and glycerol-phospholipid metabolism. The therapeutic potential of TCM lies in its ability to regulate these disturbed cardiac metabolisms. Additionally, the active ingredients of TCM have depicted wonderful effects in cardiac metabolism reprogramming in IHD. CONCLUSION: Drawing from the principles of TCM, we have pinpointed specific herbal remedies for the treatment of IHD, and leveraged advanced metabolomics technologies to uncover the effect of these TCMs on metabolomics alteration. In the future, further clinical experimental studies should be included to explore whether more TCM medicines can play a therapeutic role in IHD by reversing cardiac metabolism disorders; multi-omics would be conducted to explore more pathways and genes targeting such metabolism reprogramming by TCMs, and to seek more TCM therapies for IHD.

Scaling approaches and macroecology provide a foundation for assessing ecological resilience in the Anthropocene.

In the Anthropocene, intensifying ecological disturbances pose significant challenges to our predictive capabilities for ecosystem responses. Macroecology-which focuses on emergent statistical patterns in ecological systems-unveils consistent regularities in the organization of biodiversity and ecosystems. These regularities appear in terms of abundance, body size, geographical range, species interaction networks, or the flux of matter and energy. This paper argues for moving beyond qualitative resilience metaphors, such as the 'ball and cup', towards a more quantitative macroecological framework. We suggest a conceptual and theoretical basis for ecological resilience that integrates macroecology with a stochastic diffusion approximation constrained by principles of biological symmetry. This approach provides an alternative novel framework for studying ecological resilience in the Anthropocene. We demonstrate how our framework can effectively quantify the impacts of major disturbances and their extensive ecological ramifications. We further show how biological scaling insights can help quantify the consequences of major disturbances, emphasizing their cascading ecological impacts. The nature of these impacts prompts a re-evaluation of our understanding of resilience. Emphasis on regularities of ecological assemblages can help illuminate resilience dynamics and offer a novel basis to predict and manage the impacts of disturbance in the Anthropocene more efficiently. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'.

Analysis of Effect of Melatonin on Postoperative Sensory Nerve Recovery Following Open Reduction and Internal Fixation of Anterior Mandible Fractures: A Prospective Randomized Control Trial.

Purpose: Open reduction and internal fixation (ORIF) of the anterior mandibular fractures are commonly associated with mental nerve paraesthesia. This study evaluates the efficacy of melatonin on postoperative sensory functional recovery and pain following surgical treatment of anterior mandibular fractures. Methods: Forty patients were randomly allocated to two groups: Group I-melatonin, and Group II-control group. Postoperative neurosensory recovery was evaluated both subjectively and objectively at 1-week, 1-month, and 3-month intervals. The pain was assessed during the immediate postoperative period, postoperative days 1, 2, 3, and 7 using a visual analog scale. Statistical significance was set at P value < 0.05. Results: The statistically significant difference was noticed in both subjective and objective recovery of sensory nerve function at 1-month follow-up. All patients in the melatonin group showed complete recovery of nerve function as compared to the control group where 10% of patients showed limited recovery. Conclusion: Neurosensory recovery following ORIF of mandibular fractures was better in the melatonin group as compared to the control group and therefore the perioperative administration of 10 mg. Melatonin can be recommended for quicker and better nerve recovery in the anterior mandibular fractures requiring close manipulation of the mental nerve during treatment.

Misapplied management makes matters worse: Spatially explicit control leverages biotic interactions to slow invasion.

A wide range of approaches has been used to manage the spread of invasive species, yet invaders continue to be a challenge to control. In some cases, management actions have no effect or may even inadvertently benefit the targeted invader. Here, we use the mid-20th century management of the Red Imported Fire Ant, Solenopsis invicta, in the US as a motivating case study to explore the conditions under which such wasted management effort may occur. Introduced in approximately 1940, the fire ant spread widely through the southeast US and became a problematic pest. Historically, fire ants were managed with broad-spectrum pesticides; unfortunately, these efforts were largely unsuccessful. One hypothesis suggests that, by also killing native ants, mass pesticide application reduced competitive burdens thereby enabling fire ants to invade more quickly than they would in the absence of management. We use a mechanistic competition model to demonstrate the landscape-level effects of such management. We explicitly model the extent and location of pesticide applications, showing that the same pesticide application can have a positive, neutral, or negative effect on the progress of an invasion, depending on where it is applied on the landscape with respect to the invasion front. When designing management, the target species is often considered alone; however, this work suggests that leveraging existing biotic interactions, specifically competition with native species, can increase the efficacy of management. Our model not only highlights the potential unintended consequences of ignoring biotic interactions, but also provides a framework for developing spatially explicit management strategies that take advantage of these biotic interactions to work smarter, not harder.

The puzzling ecology of African Marantaceae forests.

Marantaceae forests are tropical rainforests characterized by a continuous understory layer of perennial giant herbs and a near absence of tree regeneration. Although widespread in West-Central Africa, Marantaceae forests have rarely been considered in the international literature. Yet, they pose key challenges and opportunities for theoretical ecology that transcend the borders of the continent. Specifically, we ask in this review whether open Marantaceae forests and dense closed-canopy forests can be considered as one of the few documented examples of alternative stable states in tropical forests. First, we introduce the different ecological factors that have been posited to drive Marantaceae forests (climate, soil, historical and recent anthropogenic pressures, herbivores) and develop the different hypotheses that have been suggested to explain how Marantaceae forests establish in relation with other vegetation types (understory invasion, early succession after disturbance, and intermediate successional stage). Then, we review the underlying ecological mechanisms that can explain the stability of Marantaceae forests in the long term (tree recruitment inhibition, promotion of and resilience to fire, adaptive reproduction, maintenance by megaherbivores). Although some uncertainties remain and call for further empirical and theoretical research, we found converging evidence that Marantaceae forests are associated with an ecological succession that has been deflected or arrested. If verified, Marantaceae forests may provide a useful model to understand critical transitions in forest ecosystems, which is of particular relevance to achieve sustainable forest management and mitigate global climate change.

Impact of human disturbance on biogeochemical fluxes in tropical seascapes.

Tropical seascapes rely on the feedback relationships among mangrove forests, seagrass meadows, and coral reefs, as they mutually facilitate and enhance each other's functionality. Biogeochemical fluxes link tropical coastal habitats by exchanging material flows and energy through various natural processes that determine the conditions for life and ecosystem functioning. However, little is known about the seascape-scale implications of anthropogenic disruptions to these linkages. Despite the limited number of integrated empirical studies available (with only 11 out of 81 selected studies focusing on the integrated dynamics of mangroves, seagrass, and corals), this review emphasizes the importance of biogeochemical fluxes for ecosystem connectivity in tropical seascapes. It identifies four primary anthropogenic influences that can disturb these fluxes-nutrient enrichment, chemical pollution, microbial pollution, and solid waste accumulation-resulting in eutrophication, increased disease incidence, toxicity, and disruptions to water carbonate chemistry. This review also highlights significant knowledge gaps in our understanding of biogeochemical fluxes and ecosystem responses to perturbations in tropical seascapes. Addressing these knowledge gaps is crucial for developing practical strategies to conserve and manage connected seascapes effectively. Integrated research is needed to shed light on the complex interactions and feedback mechanisms within these ecosystems, providing valuable insights for conservation and management practices.

Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.

This paper addresses the predefined-time distributed optimization of nonlinear multi-agent system using a hierarchical control approach. Considering unknown nonlinear functions and external disturbances, we propose a two-layer hierarchical control framework. At the first layer, a predefined-time distributed estimator is employed to produce optimal consensus trajectories. At the second layer, a neural-network-based predefined-time disturbance observer is introduced to estimate the disturbance, with neural networks used to approximate the unknown nonlinear functions. A neural-network-based anti-disturbance sliding mode control mechanism is presented to ensure that the system trajectories can track the optimal trajectories within a predefined time. The feasibility of this hierarchical control framework is verified by utilizing the Lyapunov method. Numerical simulations are conducted separately using models of robotic arms and mobile robots to validate the effectiveness of the proposed method.

The changing dynamics of work from home and its association with sleep disturbance through work-family conflict during the COVID-19 pandemic.

OBJECTIVES: Work from home (WFH) can increase sleep disturbances. However, only few studies have examined the connection between WFH and sleep disturbance while considering work-family conflict (WFC) and the changes brought about by the coronavirus disease 2019 (COVID-19). This study aimed to examine the association between WFH and sleep disturbance, considering WFC, and assessed how this association changed during the COVID-19 pandemic. METHODS: We used data from the fifth and sixth Korean Working Conditions Survey. WFH workers and a control group were selected using propensity score matching. Conditional logistic regression analysis was used to estimate the odds ratios (ORs) with 95% confidence intervals (CIs) for sleep disturbance in the WFH and control groups. RESULTS: The workers working from home showed significantly higher ORs (95% CIs) for sleep disturbance before (4.26, 3.59-5.05) and during (1.52, 1.26-1.83) COVID-19 pandemic. When stratified by WFC, the association was significant only in the workers with WFC before COVID-19. However, the association was not significant during COVID-19 among the workers with WFC. CONCLUSIONS: WFH was significantly associated with sleep disturbance among workers before COVID-19, but this association was not observed during the COVID-19 pandemic. Considering the significant role that WFC plays in this association, companies should provide a family-friendly WFH environment when adopting WFH practices.

Cognitive Training to Reduce Memory Disturbance Associated With Postoperative Cognitive Impairment After Elective Noncardiac Surgery: An Experimental Study.

PURPOSE: Assess the efficiency of a cognitive training program using an artificial intelligence application to optimize cognitive reserve and reduce memory disturbance in patients aged 55 to 75 after Class II-III elective noncardiac surgery. DESIGN: Experimental with random assignment. METHODS: The study was conducted on 80 patients undergoing surgery at the Teknon Medical Center Hospital in Barcelona, from April 2018 to June 2021. Both groups were evaluated with cognitive tests before surgery and 7 and 30 days after surgery. The experimental group was subjected to cognitive training for 10 days before surgery to improve their cognitive reserve. FINDINGS: Significant differences were found between the study groups 30 days after surgery in the three screening tests (Mini-Cog, T@M, and MFE). The intervention group presented with fewer cognitive and memory alterations. Age and pre-existing comorbidities were not correlated with an impact on memory impairment or cognitive function. CONCLUSIONS: A cognitive training program based on artificial intelligence, prescribed and monitored by anesthesia nurses has a positive impact on increasing cognitive reserve and reducing memory disturbance in patients aged 55 to 75 undergoing Class II to III elective, noncardiac surgery. This intervention may serve as a prehabilitation strategy in patients with a risk of cognitive dysfunction evaluated by anesthesia nurses for the purpose of preserving their cognitive function and optimizing their recovery.

The interrelationship between sleep disturbance symptoms and aggression before and after the campus closure of the COVID-19 pandemic: insight from a cross-lagged panel network model.

Background: The COVID-19 pandemic is detrimental to sleep quality and increases aggression among college students. Nevertheless, relevant studies were rare. Hence, we collected longitudinal data during and post-campus closure in the current study to investigate the relationship between sleep disturbance and aggression. Methods: Data from 665 college students (59.2% females, Meanage = 19.01, SD age = 1.25) were collected before (wave 1) and after (wave 2) the campus closure of COVID-19. All participants were asked to fill out the Buss-Perry Aggression Questionnaire and the Youth Self-Rating Insomnia Scale. Two symptom networks and a cross-lagged panel network were formed and tested. Results: Hostility has the highest centrality in the symptom network both in waves 1 and 2, and it bridges sleep disturbance and aggression. "Easily be woken" - "wake up too early" and "wake up with tired" - "function hindrance" are two important symptom associations in networks of waves 1 and 2. All symptoms except "difficulty in falling asleep" and "easily be woken" ameliorated after closure. Moreover, "physical aggression" and "hostility" can trigger other symptoms in wave 2. Conclusion: As the first study about aggression and sleep disturbance in the background of COVID-19, we provide valuable information about the relationship between sleep disturbance and aggression on the symptom dimension.

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 disturbance in Angelman syndrome patients.

Angelman syndrome (AS) is a neurodevelopmental disorder caused by abnormal expression of the maternal ubiquitin protein ligase E3A gene (UBE3A). As one of the most challenging symptoms and important focuses of new treatment, sleep disturbance is reported to occur in 70-80% of patients with AS and has a serious impact on the lives of patients and their families. Although clinical studies and animal model studies have provided some clues, recent research into sleep disorders in the context of AS is still very limited. It is generally accepted that there is an interaction between neurodevelopment and sleep; however, there is no recognized mechanism for sleep disorders in AS patients. Accordingly, there are no aetiologically specific clinical treatments for AS-related sleep disorders. The most common approaches involve ameliorating symptoms through methods such as behavioural therapy and symptomatic pharmacotherapy. In recent years, preclinical and clinical studies on the targeted treatment of AS have emerged. Although precision therapy for restoring the UBE3A level and the function of its signalling pathways is inevitably hindered by many remaining obstacles, this approach has the potential to address AS-related sleep disturbance.