OBJECTIVE To establish a whole-process quality management index system for traditional Chinese medicine （TCM） reserved in the department of medical institutions， providing a reference for standardized management. METHODS An initial indicator framework was determined by collecting and analyzing relevant laws， regulations， policy documents， group standards， and literature on TCM management. Two rounds of Delphi expert consultation involving 20 experts were conducted to refine and optimize the indicator system. The analytic hierarchy process was used to construct judgment matrices and convert the indicator weights into a percentage-based system； an assessment was conducted on 14 departments with reserved TCM among the affiliated units of the Quality Management and Control Center for Traditional Chinese Medicine in Hebei Province. RESULTS The response rate for both rounds of consultation was 100%， with an expert authority coefficient of 0.89. The final quality management system of TCM reserved in the department included four first-level indicators： management （composite weight： 0.366 3）， processing （composite weight： 0.119 7）， storage （composite weight： 0.291 7） and usage （composite weight： 0.222 3）， and twenty-four second-level indicators， such as establishing an organizational structure for hospital drug quality management and having dedicated regulations for backup drugs in clinical departments. Kendall’s coefficient of concordance confirmed consistency across all levels of indicators. Based on the application of the indicator system for evaluation， the average score for the standardized management of reserved TCM in the department of medical institutions increased from 67.01 points to 85.15 points over three months. CONCLUSIONS The constructed indicator system meets the standardized management requirements for reserved TCM， enabling closed-loop management across the entire process of management， processing， storage and usage. It provides a reference for medical institutions to enhance the precision and standardization of reserved TCM management.

Objective: To explore the temporal variation in physical health status among college students, analyze the correlation and dose response relationship between body mass index (BMI) and physical fitness indicators, so as to provide a scientific basis for physical health intervention among college students in universities. Methods: A total of 4 910 freshmen in the 2021 grade at Xi an Jiaotong University were selected. The BMI and changes in five physical fitness indicators (50 meter run, endurance run, standing long jump, sit and reach, and pull up or 1 minute sit up) were continuously assessed during follow up evaluations from 2021 to 2024. One way analysis of variance, generalized estimating equation (GEE), and other statistical methods were used to analyze the trends in temporal variation among the physical fitness indicators as well as the correlation characteristics and dose response relationship between BMI and physical fitness. Results: In 2021 the overweight and obesity rates among male freshmen were 20.36 % and 8.62%, respectively, and 12.91% and 2.91% among female freshman, respectively. From 2021 to 2024 the BMI of male and female students showed an upward trend with a significant increase( F =87.29,3.69,both P <0.05). The physical fitness indicators for both male and female students, including the 50 meter run, standing long jump, pull up and 1 minute sit up, first increased and then decreased, the endurance run performance decreased, and the sit and reach performance first decreased and then increased. The GEE model showed that BMI was negatively correlated with the performance of standing long jump, pullup/1 minute sit up, and sit and reach in both male and female students（ β =-1.72，-0.34，-0.15；-0.94，-0.26，-0.12）, and positively correlated with the time of 50 meter run and endurance run（ β =0.05，3.16；0.03，1.86）（all P ＜0.05）. The increase in BMI was associated with physical fitness decline in a non linear dose response relationship, while the sit and reach performance reached a peak at a BMI of approximately 22 kg/m 2, then decreased with the further increase in BMI. Conclusions A significant negative correlation is demonstrated between BMI and physical fitness indicators and male students are more sensitive to changes in BMI. College students should be guided to actively manage their weight and attach importance to physical exercise to improve their physical health.

Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis (PTB) in Jinhua City, Zhejiang Province from 2015 to 2024, so as to provide the evidence for optimizing tuberculosis control strategies. Methods: Data of PTB cases in Jinhua City from 2015 to 2024 were collected through the China Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the population, temporal and spatial distribution characteristics of PTB cases. Seasonal index was used to analyze temporal distribution characteristics. The average annual percent change (AAPC) was used to analyze the trends in reported incidence and etiological positivity rate of PTB from 2015 to 2024. Results: A total of 34 750 PTB cases were reported in Jinhua City from 2015 to 2024, with an average annual reported incidence of 56.35/105. There were 20 054 cases with positive etiological test results, with a positive rate of 57.71%. The reported incidence of PTB showed an overall declining trend (AAPC=-5.814%, P<0.05), while the etiological positivity rate demonstrated an overall upward trend (AAPC=6.687%, P<0.05). The average annual reported incidence of PTB was 71.29/105 in males, higher than 39.98/105 in females (P<0.05). The reported incidence in both males and females showed a downward trend (AAPC=-5.909%, -6.803%, both P<0.05). The population aged ≥60 years had a higher proportion and reported incidence, which were 40.15% and 134.05/105, respectively. The reported incidence showed downward trends in the groups aged 0-<20 years, 20-<40 years, 40-<60 years, and ≥60 years (AAPC=-11.191%, -10.849%, -6.343%, and -4.006%, all P<0.05). Farmers were the predominant occupation, with 21 584 cases, accounting for 62.11%. PTB was highly prevalent from March to September, with a higher seasonal index in May (116.37%). Lanxi City, Pujiang County and Yiwu City had higher reported incidence, which were 77.85/105, 65.89/105 and 60.77/105, respectively. Except for Pan'an County where the trend in reported incidence was not statistically significant (P>0.05), the reported incidence in other regions showed downward trends, with AAPC values ranging from -9.039% to -1.964% (all P<0.05). Conclusions From 2015 to 2024, the reported incidence of PTB in Jinhua City showed an overall declining trend, while the pathogen positivity rate showed an upward trend. PTB was highly prevalent in spring and summer. Males, the elderly and farmers were the key target population for prevention and control. Lanxi City, Pujiang County and Yiwu City were high-incidence areas.

Objective: To understand the current status and influencing factors of latent tuberculosis infection (LTBI) among HIV/AIDS cases in Jinhua City, Zhejiang Province, so as to provide a basis for formulating tuberculosis prevention and control strategies for HIV/AIDS cases. Methods: The study included HIV/AIDS cases treated and managed at designated hospitals in Jinhua City between January 2024 and June 2025. General demographic information, lifestyle data, and clinical data were collected through questionnaires and the HIV/AIDS Comprehensive Control System of Chinese Disease Prevention and Control Information System. The gamma-interferon release assay was used to screen for LTBI. A multivariable logistic regression model was used to analyze the influencing factors for LTBI among HIV/AIDS cases. Results: A total of 1 480 HIV/AIDS cases were included in the study, comprising 1 052 males (71.08%) and 428 females (28.92%). The majority of cases were aged 45-<65 years, with 643 cases (43.45%). A total of 184 cases of LTBI were detected, representing a detection rate of 12.43%. Multivariable logistic regression analysis showed that a history of Bacille Calmette-Guérin (BCG) vaccination (OR=2.034, 95%CI: 1.348-3.069), a history of close contact with a pulmonary tuberculosis patient (OR=3.270, 95%CI: 1.353-7.903), and a CD4+ T-lymphocyte count ≥500 cells/mm3 (OR=2.055, 95%CI: 1.003-4.209) were associated with a higher risk of LTBI among HIV/AIDS cases. Conclusion The detection rate of LTBI among HIV/AIDS cases in Jinhua City was 12.43%, and it was associated with a history of BCG vaccination, close contact with tuberculosis patients, and CD4+ T-lymphocyte count.

Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis (PTB) among migrant population in Jinhua City, Zhejiang Province from 2016 to 2025, so as to provide evidence for optimizing PTB prevention and control strategies among migrant population. Methods: The registration information of PTB cases in Jinhua City was extracted from the Tuberculosis Management Information System of China Disease Prevention and Control Information System, including gender, occupation, household registration, and case detection approach. A descriptive epidemiological method was used to analyze the temporal, regional, and population distribution characteristics of PTB cases among the migrant population. Results: A total of 9 639 PTB cases among migrant population were registered in Jinhua City from 2016 to 2025, accounting for 28.95% of all PTB cases, with the proportion showing an overall downward trend (P<0.05). The number of PTB cases among the migrant population was relatively high from March to September, with 6 504 cases (67.48%). The proportions of migrant PTB cases relative to all PTB cases were higher in May and June, at 11.03% and 10.26%, respectively. Yiwu City and Yongkang City had the highest number of cases among migrant population, with 4 357 and 1 877 cases, accounting for 45.20% and 19.47%, respectively. There were 5 984 male cases (62.08%) and 3 655 female cases (37.92%). The predominant group was aged 20-<35 years, with 4 934 cases (51.19%). The majority of cases were migrant workers, with 4 041 cases (41.92%). Cases were mainly detected through referral and follow-up, with 6 906 (71.65%) and 1 080 (11.20%) cases. Conclusions The proportion of PTB cases among migrant population in Jinhua City showed an overall downward trend from 2016 to 2025, with an epidemic peaking in May and June. Yiwu City and Yongkang City were key areas for prevention and control. Males, young and middle-aged adults, and migrant workers were high-risk groups. Cases were mainly detected through referral and follow-up.

ObjectiveTo analyze the epidemiological characteristics of patients with hepatitis C in Jinhua City, Zhejiang Province from 2005 to 2023, so as to provide a scientific basis for the prevention and control of hepatitis C. MethodsThe data on patients with hepatitis C, as well as whose current address is in Jinhua City, from 2005 to 2023 were collected from the infectious disease surveillance system of the China Disease Control and Prevention Information Management System. Descriptive epidemiological methods were used to analyze the temporal, spatial and demographic distribution characteristics of hepatitis C. ResultsA total of 2 326 cases of hepatitis C were reported in Jinhua from 2005 to 2023, including 2 death cases, with an average annual incidence rate of 2.19/100 000, showing a trend which rose first and then declined and then rose again. Hepatitis C was reported all the year round without significant seasonal pattern. In terms of the number of reported cases and the average annual incidence rate, Yiwu City ranked the first place. From 2005 to 2023, a total of 1 438 (61.82%) male cases and 888 (38.18%) female cases were reported, and the reported incidence rate was higher for males (2.62/100 000) than that for females (1.74/100 000), showing a statistically significant difference (χ²=92.937, P<0.001). Most cases aged between 30 to <50 years old (1 175, 50.52%), and the incidence rate of hepatitis C among the age group of 40‒<50, 50‒<60, 60‒<70 years old was showing an upward trend, with farmers (1 024, 44.02%) as the main occupation . ConclusionThe prevalence of hepatitis C in Jinhua City is generally at a low level, with an incidence rate of increasing and then decreasing, but rise up again after 2019. Therefore, epidemic surveillance and health education among the male, middle-aged and elderly people and farmers, as well as the key regions where the migrant workers flows in should be enhanced.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering characteristics of scarlet fever in Jinhua City, Zhejiang Province from 2005 to 2023, so as to provide a reference for improving the prevention and control strategy of scarlet fever. Methods: The data of scarlet fever cases in Jinhua City from 2005 to 2023 were collected from the China Information System for Disease Control and Prevention, and descriptive epidemiological method was used to analyze the epidemiological characteristics of scarlet fever. The average annual percent change (AAPC) was calculated to analyze the trend of scarlet fever incidence from 2005 to 2023. The spatial-temporal clustering of scarlet fever was identified using spatial autocorrelation analysis and space-time scanning analysis. Results: A total of 1 494 scarlet fever cases were reported in Jinhua City from 2005 to 2023, and the average annual reported incidence rate was 1.41/100 000, with no significant change trend (AAPC=1.706%, P>0.05). There were two incidence peaks, from April to June and from November to January of the next year. There were 937 males and 557 females, with a male to female ratio of 1.68∶1. The age was mainly <10 years (1 391 cases, 93.11%), of which 3-<7 years was the high incidence age group (936 cases, 62.65%). There were 1 466 cases of preschool children, students, and scattered children, accounting for 98.13%. The average annual reported incidence of scarlet fever in Dongyang City, Pujiang County, and Yongkang City was 4.58/100 000, 3.04/100 000, and 1.99/100 000, respectively. The spatial autocorrelation analysis showed that there was a positive spatial correlation between the incidence of scarlet fever in Jinhua City from 2005 to 2023 (Moran's I=0.579, P<0.05), and the high-high clustering areas were mainly distributed in Dongyang City and Pujiang County. The spatial-temporal scanning analysis showed that there were 8 spatial-temporal clustering areas of scarlet fever in Jinhua City from 2005 to 2023. The class Ⅰ clustering area was 9 towns in Dongyang City, and the clustering period was from August 2013 to December 2022. There were 7 class Ⅱ clusters, covering some streets in Pujiang County, Dongyang City, Yongkang City, Yiwu City, and Pan'an County. Conclusions From 2005 to 2023, the incidence of scarlet fever in Jinhua City was relatively low, and children aged 3-<7 years had a high incidence, and there was a spatiotemporal clustering. The peak incidence was from April to June and from November to January of the next year. Dongyang City, Pujiang County, and Yongkang City had high incidence areas.

Objective: To analyze the epidemiological characteristics of leptospirosis in Jinhua City, Zhejiang Province, from 2007 to 2024, so as to provide a basis for improving the prevention and control strategies of leptospirosis. Methods: Data pertaining to leptospirosis cases in Jinhua City from 2007 to 2024 were collected through the Monitoring and Reporting Management System of the Chinese Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the distribution characteristics of leptospirosis in terms of time, region, population, interval from the onset of the disease to diagnosis and the outbreak of the epidemic. Results: A total of 81 cases of leptospirosis were reported in Jinhua City from 2007 to 2024, with an average annual reported incidence of 0.08/100 000. The peak incidence occurred from August to September, with 57 cases accounting for 70.37%. Leptospirosis cases were reported in 9 counties (cities, districts) in Jinhua City. Pan'an County reported the most cases, with 52 cases accounting for 64.20%. There were 54 male cases and 27 female cases, with a male-to-female ratio of 2∶1. The majority of cases were aged over 40 years, with 73 cases accounting for 90.12%. The average reported incidence of leptospirosis showed an upward trend with the increase of age (P<0.05), and the highest incidence of leptospirosis was at the 60-<80 age group (0.21/100 000). The majority of patients were farmers, with 77 cases accounting for 95.06%. The median interval from onset to diagnosis was 4.00 (interquartile range, 6.00) days. There were significant differences in the interval from onset to diagnosis among cases in Dongyang City compared with Pan'an County, Wuyi County, and Wucheng District, between Pan'an County and Jindong District, Wucheng District, and between Wuyi County and Wucheng District (all P<0.05). In 2007, one outbreak of leptospirosis was reported, which occurred in Jiuhe Township, Pan'an County, with 36 reported cases. Conclusions The reported incidence of leptospirosis in Jinhua City from 2007 to 2024 is generally low. The high-incidence period is from August to September, and Pan'an County is the high-incidence area. Males over 40 years and farmers are the key populations for prevention and control. It is recommended to strengthen epidemic surveillance and health education for high-risk populations.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks