Associations between sleep duration trajectories and risk of cardio-metabolic disease among middle-aged and older Chinese adults.

Background: The association of a single time-point measure of sleep duration with cardio-metabolic disease has been extensively studied, but few studies have focused on the impact of sleep duration trajectory. This study aims to model the sleep duration trajectory as predictors for the subsequent development of cardio-metabolic disease.

Methods: This study recruited a notably large population (n = 9883) of subjects aged at least 45 years from the China Health and Retirement Longitudinal Study (CHARLS), who participated in sequential surveys conducted in 2011, 2013, 2015, and 2018.

Clinical Management of Pathogen-Negative Tuberculous Meningitis in Adults: A Series Case Study.

Tuberculosis remains a serious world public health problem. Tuberculous meningitis (TBM) is the one of most severe forms of extrapulmonary tuberculosis. However, the insensitivity and time-consuming requirement of culturing the pathogen , the traditional "gold standard" diagnostic test for TBM, often delays timely diagnosis and treatment, resulting in high disability and mortality rates.

Sleep duration, daytime napping, and risk of incident stroke: Nuances by metabolic syndrome from the China health and retirement longitudinal study.

Background And Purpose: The relationship between sleep duration and stroke are inconclusive in China, especially in those individuals with metabolic syndrome. We aimed to investigate the association between sleep duration and incident stroke in participants with metabolic syndrome or its specific components in China.

Materials And Methods: Data were taken from the 2011 and 2015 waves of China Health and Retirement Longitudinal Study (CHARLS).

Prevalence of psychological disorders in the COVID-19 epidemic in China: A real world cross-sectional study.

Objective: This study aimed to explore the prevalence of psychological disorders and associated factors at different stages of the COVID-19 epidemic in China.

Methods: The mental health status of respondents was assessed via the Patient Health Questionnaire-9 (PHQ-9), Insomnia Severity Index (ISI) and the Generalized Anxiety Disorder 7 (GAD-7) scale.

Results: 5657 individuals participated in this study.

The underlying changes and predicting role of peripheral blood inflammatory cells in severe COVID-19 patients: A sentinel?

Background: The underlying changes of peripheral blood inflammatory cells (PBICs) in COVID-19 patients are little known. Moreover, the risk factors for the underlying changes of PBICs and their predicting role in severe COVID-19 patients remain uncertain.

Material And Methods: This retrospective study including two cohorts: the main cohort enrolling 45 patients of severe type serving as study group, and the secondary cohort enrolling 12 patients of no-severe type serving as control group.

Application of Improved LANDMARC Indoor Positioning Algorithm in Neurology Medical Care Monitoring and Positioning System.

The paper proposes an improved LANDMARC positioning algorithm to improve the location accuracy of environmental obstacles for medicine care monitoring in neurology. The paper proposes a log path loss correction model and uses the model to compensate the positioning signal to improve the positioning accuracy of the algorithm caused by the attenuation of the indoor positioning signal by the wall. The experimental results show that the LANDMARC positioning algorithm based on the log path loss correction model can improve the positioning accuracy of medical monitoring in neurology.