The bidirectional relationship between sleep disturbance and anxiety: Sleep disturbance is a stronger predictor of anxiety.

BACKGROUND: Both sleep disturbance and anxiety are common problems that significantly affect human health, but little is known about their causal relationship. The aim of this study was to explore the causal relationship between them with a large sample of community-dwelling adults included. METHODS: Data for this study were extracted from the baseline survey of West China Natural Population Cohort Study (WCNPCS) and follow-up in the following year. The sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and anxiety was screened using the Generalized Anxiety Disorder Scale (GAD-7). Age, gender, educational level, marital status, smoking status, drinking status, depressive symptoms, loneliness and chronic diseases were taken as covariant factors. Logistic regression and cross-lagged models were used for data analyses. RESULTS: A total of 16699 participants (67.5 % females) were enrolled, with the average age of participants being 57.3 ± 12.7 years. A total of 40.50 % of participants experienced poor sleep quality at baseline and 40.52 % at follow-up. The prevalence of anxiety was 7.58 % at baseline and 4.62 % at follow-up. The results showed that the risk of developing anxiety in individuals with sleep disturbance at baseline was 1.89 times higher than those without (95%CI = 1.43-2.48). Similarly, anxiety increased the risk of developing sleep disturbance by 1.20-fold (95%CI = 1.03-1.39). These results were further supported by the cross-lagged panel models. CONCLUSION: Sleep disturbance and anxiety are mutually causal, and the effect of poor sleep on anxiety seems to be more significant. Timely interventions targeting sleep may help to break the vicious circle between sleep disturbance and anxiety symptoms, and improve the quality of life.

Therapeutic value of patent foramen ovale closure for drug-resistant epilepsy: A case series report.

OBJECTIVE: Closure surgery of patent foramen ovale (PFO) has been found to effectively control cryptogenic stroke and migraine, but it is uncertain whether PFO closure could also alleviate epileptic seizures. This study aims to observe the therapeutic effect of PFO closure on epileptic seizures. METHODS: Since July 11th, 2017, in the neurology department of West China Hospital, Sichuan University, Chengdu, we have been regularly monitoring patients with epilepsy who have undergone PFO closure. The patient's clinical information, such as frequency, duration, and severity of seizures, before and after surgery was recorded in detail as well as postoperative safety events. RESULTS: Of the 31 epilepsy patients who confirmed PFO observed (27 cases were drug-resistant epilepsy, 87.10%), average age of surgery was 23.74 years, and 12 cases were female (38.71%). After one-year follow-up, 26 patients (83.87%) achieved remission of seizure frequency, and 22 of whom (70.97%) experienced a remission of more than 50%. Additionally, compared to before surgery, 22 cases (70.97%) reported a decrease in the average seizure duration, and 20 cases (64.52%) reported a reduction in seizure severity. In the seizure indicators of frequency, average duration and severity, significant differences were identified between preoperative and postoperative comparisons with all test p values were <0.05. Furthermore, no serious safety events were reported except for one patient who briefly reported chest pain, and all patients expressed effective PFO closure. SIGNIFICANCE: The PFO closure has been shown for the first time to result in a significant reduction in the frequency, duration, and severity of seizures. Patients with drug-resistant epilepsy and PFO with a large shunt are ideal candidates for undergoing PFO closure. PLAIN LANGUAGE SUMMARY: Since PFO closure was found to have a good therapeutic effect on cryptogenic stroke and migraine, it has become a credible complementary therapy for the treatment of neurological diseases, and drug-resistant epilepsy with PFO is expected to become the next target disease that PFO closure could significantly improve.

Impacts of education level on Montreal Cognitive Assessment and saccades in community residents from Western China.

OBJECTIVES: This cross-sectional study sought to evaluate the effectiveness of the Montreal Cognitive Assessment (MoCA) and saccade in discerning the cognitive function levels among community populations characterized by diverse educational backgrounds. METHODS: Data from 665 Western China individuals encompassed MoCA scores and saccade performance. The study examined how education level and age influenced these assessments and highlighted the contrasting abilities of these measures in detecting cognitive abnormalities. RESULTS: The saccade model revealed a consistent cognitive impairment prevalence (15.5%) compared to previous clinical data (9.7% to 23.3%), while MoCA exhibited variable rates (25.1% to 52.8%). Notably, saccades and MoCA significantly diverged in detecting cognitive dysfunction. Additionally, education level had a greater impact on MoCA (effect size: 0.272) compared to saccades (0.024) affecting all MoCA sub-items, with age exerting a smaller influence on MoCA (0.037) compared to saccades (0.056). CONCLUSION: Saccades are less susceptible to the influence of education level when compared to MoCA, making saccade a potentially more suitable cognitive screening tool for rural community populations. SIGNIFICANCE: This study represents a pioneering approach by employing saccade detection within community populations to distinguish cognitive function status.

Exploring spatiotemporal pattern in the association between short-term exposure to fine particulate matter and COVID-19 incidence in the continental United States: a Leroux-conditional-autoregression-based strategy.

Background: Numerous studies have demonstrated that fine particulate matter (PM2.5) is adversely associated with COVID-19 incidence. However, few studies have explored the spatiotemporal heterogeneity in this association, which is critical for developing cost-effective pollution-related policies for a specific location and epidemic stage, as well as, understanding the temporal change of association between PM2.5 and an emerging infectious disease like COVID-19. Methods: The outcome was state-level daily COVID-19 cases in 49 native United States between April 1, 2020 and December 31, 2021. The exposure variable was the moving average of PM2.5 with a lag range of 0-14 days. A latest proposed strategy was used to investigate the spatial distribution of PM2.5-COVID-19 association in state level. First, generalized additive models were independently constructed for each state to obtain the rough association estimations, which then were smoothed using a Leroux-prior-based conditional autoregression. Finally, a modified time-varying approach was used to analyze the temporal change of association and explore the potential causes spatiotemporal heterogeneity. Results: In all states, a positive association between PM2.5 and COVID-19 incidence was observed. Nearly one-third of these states, mainly located in the northeastern and middle-northern United States, exhibited statistically significant. On average, a 1 µg/m3 increase in PM2.5 concentration led to an increase in COVID-19 incidence by 0.92% (95%CI: 0.63-1.23%). A U-shaped temporal change of association was examined, with the strongest association occurring in the end of 2021 and the weakest association occurring in September 1, 2020 and July 1, 2021. Vaccination rate was identified as a significant cause for the association heterogeneity, with a stronger association occurring at a higher vaccination rate. Conclusion: Short-term exposure to PM2.5 and COVID-19 incidence presented positive association in the United States, which exhibited a significant spatiotemporal heterogeneity with strong association in the eastern and middle regions and with a U-shaped temporal change.