Development of a prediction model for predicting the prevalence of nonalcoholic fatty liver disease in Chinese nurses: the first-year follow data of a web-based ambispective cohort study.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is gradually becoming a huge threat to public health. With complex working characteristics, female nurses had been found with high risk of NAFLD. To develop and validate a prediction model to predict the prevalence of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory tests in female nurses. METHODS: This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), and data were extracted from the first-year follow data collected from 1st June to 1st September 2021 by questionnaires and physical examination records in a comprehensive tertiary hospital. The questionnaires included demographic characteristics, work situation and daily lifestyle. Logistic regression and a nomogram were used to develop and validate the prediction model. RESULTS: A total of 824 female nurses were included in this study. Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, HDL-C, UA, BMI, TBil and Ca were independent risk factors for NAFLD occurance. A prediction model for predicting the prevalence of NAFLD among female nurses was developed and verified in this study. CONCLUSION: Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, UA, BMI and Ca were independent predictors, while HDL-C and Tbil were independent protective indicators of NAFLD occurance. The prediction model and nomogram could be applied to predict the prevalence of NAFLD among female nurses, which could be used in health improvement. TRIAL REGISTRATION: This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), which was a ambispective cohort study contained past data and registered at Clinicaltrials.gov ( https://clinicaltrials.gov/ct2/show/NCT04572347 ) and the China Cohort Consortium ( http://chinacohort.bjmu.edu.cn/project/102/ ).

Relationship between night shift and sleep problems, risk of metabolic abnormalities of nurses: a 2 years follow-up retrospective analysis in the National Nurse Health Study (NNHS).

BACKGROUND AND PURPOSE: Efforts to improve nurses' physical and mental health are critical to ensuring the safety and quality of the healthcare system. Long-term studies targeting the relevancy of nurses' occupation characteristics with health conditions remain insufficient. This study aimed to examine the relationship between nurses' night shift and sleep problems and metabolic abnormalities risk. METHODS: This study was a part of the National Nurse Health Study, an ambispective cohort study in China, in 2021. Based on an integration physical examination data system, this study carried out a retrospective analysis of 730 nurses from 2018 to 2020 and combined with a questionnaire survey in 2021. The STROBE guidelines were adopted for reporting. RESULTS: In the 23 (23.0, 24.0) months follow-up, higher night shift load was associated with more sleep problems such as shortened sleep duration, sleep disorders, poor sleep quality, and sleep deprivation. Moreover, night shift load was associated with chronic diseases risk factors, increasing body mass index and body fat, with more night shift density, increasing the occurrence of low levels of high-density lipoprotein cholesterol, high triglyceride, triglyceride/high-density lipoprotein cholesterol ratio, and serum uric acid. CONCLUSION: The night shift load has become an occupational health concern, contributing to chronic diseases relevant metabolic risk factors and negative influence on sleep health. Focus on the strategies to improve the sleep quality of nurses undergoing night shift work, optimize work scheduling and ongoing monitor the relevant risk factors are essential to enhance the stability and well-being of the nursing workforce. CLINICAL TRIALS REGISTRATION INFORMATION: NCT04572347, on October 1, 2020. https://www. CLINICALTRIALS: gov/ct2/show/NCT04572347.

Clinical application of endobronchial ultrasonography-guided transbronchial needle aspiration biopsy-a single center, large sample, real-world study.

BACKGROUND: Endobronchial ultrasonography-guided transbronchial needle aspiration biopsy (EBUS-TBNA) has been used for more than 10 years in China. Its clinical application and diagnostic value in different diseases with large sample was lack of report. METHODS: A retrospective analysis was performed about the application and diagnostic value of EBUS-TBNA in different disease of patients in Respiratory Intervention Center of Guangzhou Institute of Respiratory Health from January 2012 to July 2020. RESULTS: A total 5758 patients were included with 182 patients excluded for lack of information. Finally, data of 5576 patients (3798 males and 1778 females) were analyzed. For anesthetize, most patients were undergoing general anesthesia of intravenous with spontaneous breathing (69.4%), followed by general anesthesia of intravenous and inhalation with tracheal intubation and mechanical ventilation (17.9%) and conscious sedation and analgesia (12.8%). Lymph nodes were the main sites of biopsy obtained (76.4%). Tumors accounted for the highest proportion of disease (66.4%), followed by infection diseases (9.9%), sarcoidosis (3.9%), lymphoma (1.1%), and others (18.7%). The sensitivity of EBUS-TBNA for diagnosis of tumor was 89.7%, and 40.8% for infection diseases. There were significant differences in the puncture site and proportions of diseases between male and females (both p < 0.05). Higher diagnostic value was found in male patients (p < 0.05). CONCLUSION: EBUS-TBNA has good diagnostic value for different mediastinal and central pulmonary space-occupying lesions diseases, with highest sensitivity for tumors. Higher diagnostic value was found in male patients.

Metabolic Disease and Risk of Thyroid Disease: Evidence from the National Nurse Health Cohort in China.

BACKGROUND: Previous studies have shown that metabolic diseases are risk factors for thyroid disease; most studies are cross-sectional design. We aimed to evaluate the causal relationship between thyroid and metabolic diseases in a cohort of Chinese nurses. METHODS: We conducted an ambispective cohort study of the National Nurses' Health Study. Thyroid disease data based on ultrasonography from 2017 to 2021 were collected. We described thyroid disease incidence and the risk factors associated with a cluster of metabolic factors. We used the Mann‒Whitney U test, repeated-measures ANOVA and multivariable Cox proportional hazard regression to analyze the data. RESULTS: A total of 1529 female nurses without thyroid disease were enrolled in 2017, of which, complete data were available for 1269 nurses. In 2018-2020, thyroid nodule incidence ranged from 32.8%-46.3%, thyroiditis incidence was 13.4%-14.3%, and goiter incidence was 4.1%-29.1%, thyroid adenoma and thyroid tumors incidence were 0.1%-0.5% and 1%-1.5%. We also found that NAFLAD was an independent risk factor for thyroid adenoma (p = .003). The age at diagnosis was an independent risk factor for goiter (p <. 001) and thyroid nodules (p < .001). Fasting blood glucose was an independent risk factor for thyroid tumors (p = .004). The age at diagnosis (p = .003), Body Mass Index (p = .006) and menopause (p = .031) were risk factors for thyroiditis. CONCLUSION: Thyroid disease incidence among nurses is increasing. Age at diagnosis, BMI, fasting blood glucose, and nonalcoholic fatty liver disease are independent risk factors for different types of thyroid disease. This study provides evidence for future studies to further explore the pathogenesis and prevention of thyroid diseases.

Research on task allocation of UAV cluster based on particle swarm quantization algorithm.

For the UAV cluster task allocation problem, the particle swarm optimization algorithm has slow convergence speed, low fitness level, easy to fall into local minimum, and can not obtain the global optimal solution. Aiming at the shortcomings of the traditional particle swarm optimization algorithm, a quantized particle swarm optimization algorithm (named QPSO method) has been designed to adapt to the task allocation problem of UAV cluster in this paper. In this algorithm, the Schrodinger equation is used to construct the quantized particle motion rule, and the Monte Carlo method is used to construct the update mechanism of the quantized particle position. The experimental results show that in the three groups of experiments of reconnaissance, attack and damage, the proposed algorithm has high adaptability, fast convergence speed, reasonable task allocation of UAVs in the cluster, efficient use of UAVs, and the performance of QPSO algorithm is obviously better than the particle swarm optimization algorithm and the genetic algorithm.

Protocol for the National Nurse Health Study (NNHS): a web-based ambispective cohort study.

INTRODUCTION: The physical and mental health of nurses may significantly impact the entire medical care group and directly affect the quality of medical services. Due to the intense emotional involvement and often problematic working conditions that characterise their profession, nurses appear to be especially susceptible to a complex set of stressors with repercussions to their health. Several landmark studies of nurses have provided an abundance of evidence on risk factors that influence the health status of nurses. However, few studies have investigated the health status of nurses who work in high-intensity work environments in China. The National Nurse Health Study (NNHS) objective is to build an ambispective cohort to gather web-based information on early-life events, daily habits, occupational and environmental risk factors, and health outcomes of a specific subset of healthcare professionals of Chinese nurses. METHODS AND ANALYSIS: NNHS, which was developed at a tertiary hospital in Beijing, China, is a research initiative that enrolls registered nurses working at Peking University Third Hospital. A web-based self-administered system was designed to collect health-related data and link them with previous physical examination data. During the study period, participants with signed informed consent will be invited to annually repeat a similar procedure. ETHICS AND DISSEMINATION: The NNHS research protocol was approved by the Institutional Ethics Committee and provides promising data that contribute to the understanding of pathophysiological links between early-life events, body composition, gut microbiota, and inflammatory and metabolic risk profiles. Moreover, the combination of a user-friendly tool with the innovative purposes of the NNHS offers a remarkable resource to test hypotheses about mechanisms of diseases, including work stress, and further plan preventive programmes in public health. TRIAL REGISTRATION NUMBER: The study was registered on Clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT04572347) and the China Cohort Consortium (http://chinacohort.bjmu.edu.cn/project/102/).

[Repression of Nitrogen and Phosphorus Release from Lakeshore Sediment by Five Littoral-zone Plants].

The article researched the effect of Iris pseudacorus L.,Paspalum distichum L.,Leersia hexandra Swartz,Ludwigia peploides and Hydrocotyle vulgaris on the nitrogen and phosphorus repression in sandy soil from lower reaches of Yangtze River and clay from stored littoral zone. The result indicated that plants had a significant inhibitory effect on total phosphorus release from sediment, with concentration in overlaying water below 0.02 mg·L-1 in Paspalum distichum L., Hydrocotyle vulgaris, Iris pseudacorus group, below 0.03 mg·L-1 in Leersia hexandra Swartz, Ludwigia peploides group; with release rate below 0.1 d-1 in Leersia hexandra Swartz and Ludwigia peploides group, below 0.05 d-1 in Paspalum distichum L., Hydrocotyle vulgaris, Iris pseudacorus group. While the plants were proved to aggravate total nitrogen release by accumulating in sediment, with concentration in overlaying water below 0.4 mg·L-1 in Paspalum distichum and Iris pseudacorus L. group; with release rate below 0.02 mg·L-1. Root weight density, root length density, root surface area density were major factors, which increased the proportion of particles in sediment with diameter of below 50 µm, therefore decreased sediment resuspension against hydraulic disturbance; the root system also enriched total nitrogen in sediment and absorbed phosphorus from sediment. These five kinds of plants in terrestrial-aquatic transverse actually repressed nitrogen and phosphorus release from sediment in two ways mentioned above, Paspalum distichum L. and Iris pseudacorus L. possessed the best effect due to their developed root system, followed by Leersia hexandra Swartz and Hydrocotyle vulgaris, and Ludwigia peploides had the least effect.