Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Objective: To investigate the trajectories of fasting blood glucose fluctuations and their influencing factors among patients with comorbidity of type 2 diabetes mellitus (T2DM), so as to provide the basis for strengthening blood glucose management in this population. Methods: In October 2023, data of patients diagnosed with comorbid T2DM from January to October 2021, including demographic information, lifestyle, health status and fasting blood glucose were collected through the chronic disease health management system of Minhang District, Shanghai Municipality. Fasting blood glucose fluctuation trajectories were analyzed by group-based trajectory model established based on fasting blood glucose values from January 2021 to October 2023. Influencing factors of fasting blood glucose fluctuation trajectories among patients with comorbidity of T2DM were analyzed using a multinomial logistic regression model. Results: A total of 907 patients with comorbidity of T2DM were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged ≥65 years, accounting for 71.89%. The group-based trajectory model analysis identified three trajectory groups: a low-level stable group (492 cases, 54.24%), a medium-level stable group (287 cases, 31.64%), and a high-level decreasing group (128 cases, 14.11%). Multinomial logistic regression analysis showed that, compared with the low-level stable group, patients with comorbidity of T2DM who had an education level of junior high school or below (OR=1.420, 95%CI: 1.011-1.995) or college degree or above (OR=2.109, 95%CI: 1.249-3.560), as well as those who engaged in regular exercise (OR=1.387, 95%CI: 1.017-1.893), were more likely to be in the medium-level stable group. Patients with comorbidity of T2DM who were overweight or obese (OR=1.675, 95%CI: 1.116-2.513) or had dyslipidemia (OR=3.195, 95%CI: 1.642-6.216) were more likely to be in the high-level decreasing group. Conclusions From January 2021 to October 2023, the fasting blood glucose levels of patients with comorbidity of T2DM exhibited three fluctuating trajectories: low-level stability, medium-level stability, and high-level decline. Compared with the low-level stable group, the medium-level stable group was mainly influenced by educational level and regular exercise. The high-level decline group was primarily affected by overweight/obesity and dyslipidemia.

In order to meet the need of autonomous control of patients with severe limb disorders, this paper designs a nursing bed control system based on motor imagery-brain computer interface (MI-BCI). In view of the low decoding performance of cross-subjects and the dynamic fluctuation of cognitive state in the existing MI-BCI technology, the neural network structure optimization and user interaction feedback enhancement are improved. Firstly, the optimized dual-branch graph convolution multi-scale neural network integrates dynamic graph convolution and multi-scale convolution. The average classification accuracy is higher than that of multi-scale attention temporal convolution network, Gram angle field combined with convolution long short term memory hybrid network, Transformer-based graph convolution network and other existing methods. Secondly, a dual visual feedback mechanism is constructed, in which electroencephalogram (EEG) topographic map feedback can improve the discrimination of spatial patterns, and attention state feedback can enhance the temporal stability of signals. Compared with the single EEG topographic map feedback and non-feedback system, the average classification accuracy of the proposed method is also greatly improved. Finally, in the four classification control task of nursing bed, the average control accuracy of the system is 90.84%, and the information transmission rate is 84.78 bits/min. In summary, this paper provides a reliable technical solution for improving the autonomous interaction ability of patients with severe limb disorders, which has important theoretical significance and application value.
Humans ; Brain-Computer Interfaces ; Deep Learning ; Electroencephalography ; Feedback, Sensory ; Neural Networks, Computer ; Beds

Objective To analyze the usage of pediatric drugs in 17 pediatric specialty hospitals from 2016 to 2020, and provide reference and guidance for the development of the essential medicine list （EML） for children and the improvement of the National Reimbursement Drug List （NRDL） in China. Methods Based on the pediatric medication monitoring data from 17 children's specialized hospitals reported to the Chinese Medical Economic Information Network (CMEI) of the Chinese Pharmaceutical Association between 2016 and 2020, this study analyzes the overall situation of the sample hospitals and the clinical use of pediatric drugs according to the major categories of the Anatomical Therapeutic Chemical Classification System （ATC）. Results In the various ATC categories, the trend of systemic use of anti-infective drugs decreasing was significant in the average hospital expenditure, while the trend of respiratory and digestive system and metabolic drugs decreasing was significant in the average hospital DDDS. In 2020, the average number of hospital grade standards for essential drugs （2018 version） accounted for 15.82% of the total number of drug use standards, while the average number of hospital grade standards for medical insurance （2019 version） accounted for 8.23% of the total number of drug use standards. Conclusion The use of pediatric medication in sample hospitals from 2016 to 2020 was generally reasonable, and there would still a certain gap between the actual clinical usage habits with the existing EML and NRDL，which still need to be adjusted.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.

Objective: To understand the nutritional literacy level and associated factors of primary and secondary school students in Beijing, so as to provide a scientific basis for improving student nutrition. Methods: From October 2022 to May 2023, a multi stage cluster random sampling method was employed to select a total of 14 568 primary, junior and senior high school students from 16 districts (ecluding the Economic Technological Development area) in Beijing. Through a survey questionnaire on nutritional literacy and dietary hehavior of school age children, basic information as well as data on nutritional literacy levels across four dimensions:nutrition related knowledge concepts, food selection, food preparation, and food intake dimensions were obtained. The Wilcoxon rank sum test, Kruskal-Wallis test, Spearman correlation analysis, Chi square test and binary Logistic regression were used for the analysis. Results: The median total score of nutritional literacy among primary and secondary school students in Beijing was 68.8. Approximately 26.0% of primary and secondary school students achieved nutritional literacy standards. The median scores and rates of meeting the standards for nutrition related knowledge concepts, food selection, food preparation and food intake dimensions were 23.0, 42.1%; 17.0, 27.4%; 6.5, 33.5%; 23.0, 33.3%, respectively. There were positive correlations between all pairs of the four dimensions ( r=0.33-0.49, P <0.05). The results of multiple Logistic regression analysis showed that primary school students, junior high school students, female students, suburban students, caregivers with a college education level and a bachelor s degree or above were the positive arrelation factors that promoted the achievement of nutritional literacy standards ( OR =2.21, 1.39, 1.18, 1.27, 1.42, 1.66, P <0.05). Conclusion The literacy level of primary and secondary school students in Beijing needs to be significantly improved. School stage, gender, region and caregiver s education level are associated factors.

Objective: To provide high-quality clinical evidence of the efficacy of Tibetan medicine Honghua Ruyi (HHRY) pills for endometriosis-associated dysmenorrhea. Methods: This study constitutes a multicenter, randomized, double-blind, placebo-controlled trial encompassing a three-menstrual cycle intervention followed by a three-menstrual cycle follow-up period. A total of 164 eligible females with endometriosis-associated dysmenorrhea were randomly divided into HHRY pills and placebo groups in a 1:1 ratio. The primary outcome included dysmenorrhea symptoms assessed using Visual Analog Scale (VAS) scores and quality of life, whereas the secondary outcome measures included the maximum VAS for non-menstrual pelvic pain, duration of pain episodes (in days), frequency and quantity of the consumption of ibuprofen sustained-release capsules (or other non-steroidal anti-inflammatory drugs), and days off work/study for staff/student due to dysmenorrhea, ovarian cyst, and/or pelvic nodule size. The safety was monitored throughout the treatment period. All the analyses were based on the intention-to-treat principle. For continuous outcomes, simple or multiple linear regressions were used to estimate the differences between the HHRY pills and placebo groups, with categorical data expressed as the number and percentage of occurrences. Differences were compared using the chi-square test or Fisher's exact test. The predefined analysis was adjusted for concomitant treatment, a variable considered to be associated with outcomes but unaffected by treatment allocation. Estimates of treatment effects were reported with 95% confidence intervals. Two-tailed P values ≤ .05 were considered statistically significant. Conclusion Positive results from this trial, upon completion would provide robust evidence for the efficacy and safety of HHRY pills in treating dysmenorrhea in patients with endometriosis.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.