Objective:To explore the adaptability of health resources allocation and the economic development level in Sichuan Province and its influencing factors,so as to provide reference and suggestions for optimizing health resources allocation.Methods:Based on the panel data of 21 cities(states)in Sichuan Province,it analyzes the adaptability of health resources allocation and economic development in Sichuan Province from 2017 to 2021 and its influencing factors through entropy method,coupling coordination model and grey relational model.Results:From 2017 to 2021,the allocation level of health resources in most areas of Sichuan Province showed a gradual upward trend,but the rising speed was obviously lower than the growth rate of economic development;In 2021,the adaptability between the allocation of health resources and the level of economic development in most parts of Sichuan Province is still in a low coordination stage.Conclusion:Different regions should adopt differentiated development strategies based on their actual geographical conditions,optimize the allocation of health resources according to local conditions,and promote the coordinated development of health resource allocation and economic level.

Objective:To explore the adaptability of health resources allocation and the economic development level in Sichuan Province and its influencing factors,so as to provide reference and suggestions for optimizing health resources allocation.Methods:Based on the panel data of 21 cities(states)in Sichuan Province,it analyzes the adaptability of health resources allocation and economic development in Sichuan Province from 2017 to 2021 and its influencing factors through entropy method,coupling coordination model and grey relational model.Results:From 2017 to 2021,the allocation level of health resources in most areas of Sichuan Province showed a gradual upward trend,but the rising speed was obviously lower than the growth rate of economic development;In 2021,the adaptability between the allocation of health resources and the level of economic development in most parts of Sichuan Province is still in a low coordination stage.Conclusion:Different regions should adopt differentiated development strategies based on their actual geographical conditions,optimize the allocation of health resources according to local conditions,and promote the coordinated development of health resource allocation and economic level.

Background Hypertension is one of the chronic diseases with the highest prevalence in China, and a history of hypertension may potentially exacerbate hearing loss. Investigating the association between long-term blood pressure trends and hearing thresholds could contribute to hearing protection efforts for occupationally noise-exposed populations. Objective By investigating hearing thresholds and blood pressure levels among occupationally noise-exposed workers in an urban rail transit enterprise, and conducting a comprehensive analysis of the association between long-term blood pressure changes and hearing thresholds, to provide data references for health management strategies targeting occupationally noise-exposed workers. Methods Workers exposed to occupational noise at a rail transit enterprise were enrolled as study subjects and underwent pure-tone audiometry. Group-based trajectory modeling was employed to identify blood pressure trajectories. Categorical data were compared using chi-square tests, while normally distributed continuous variables were analyzed via t-tests and analysis of variance (ANOVA). Generalized linear mixed models (GLMMs) were subsequently applied toexamine associations between these trajectory groups and high-frequency hearing thresholds. Results Among 2 002 occupationally noise-exposed workers, the median (P₂₅, P₇₅) age was 32 (28, 35) years, with a median (P₂₅, P₇₅) working tenure of 7 (3, 10) years. In 2019, the positive hypertension rate was 9.04%, with a mean systolic blood pressure (SBP) of (122.97±11.60) mmHg and a mean diastolic blood pressure (DBP) of (76.37±9.02) mmHg. The hearing loss prevalence was 10.1%, showing bilateral high-frequency average hearing thresholds of (17.18±8.71) dB and speech-frequency average thresholds of (13.79±3.46) dB. Three distinct trajectory groups were identified for both SBP and DBP. Compared with other trajectory groups, the high-stable DBP group exhibited significantly higher hearing loss prevalence (χ²=6.34, P=0.042) and elevated high-frequency hearing thresholds (all Ps<0.05). Specifically, within the 30-39 age subgroup, the moderate-stable DBP group demonstrated 1.96 dB lower high-frequency thresholds than the high-stable group [β(95%CI): −1.96 (−3.61, −0.32), P=0.020]. Conclusion Among occupationally noise-exposed workers in a municipal rail transit enterprise, DBP trajectories demonstrated a positive association with high-frequency hearing thresholds. Notably, in young and middle-aged occupationally noise-exposed populations, DBP may exert a more critical influence than SBP on the progression of hearing loss.

Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.

Objective:To investigate the association between different socioeconomic status (SES) levels and the incidence of sensory impairment (SI) in the Chinese population.Methods:This study adopted a prospective cohort design, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) collected in July or August 2011. Participants who met the inclusion and exclusion criteria were followed up every 2-3 years until the onset of SI or the end of the follow-up period (August 2018). Based on educational attainment and annual per capita household expenditure, participants were classified into four SES groups: low, lower-middle, upper-middle, and high SES. Logistic regression was employed to analyze the relationship between different SES levels and the incidence of SI.Results:A total of 7 415 participants were included in the study, with a mean follow-up duration of 4.9 years. A total of 3 644 cases of incident SI were recorded (49.1%). Compared with the high SES group, the risk of developing SI was progressively higher in the upper-middle SES group ( OR=1.42, 95% CI: 1.03-1.96), lower-middle SES group ( OR=1.83, 95% CI: 1.29-2.60), and low SES group ( OR=2.04, 95% CI: 1.42-2.94) ( P for trend<0.001). Conclusions:SES is closely associated with new-onset SI. Enhancing SES may help reduce the risk of developing SI.

Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.

Objective:To investigate the association between different socioeconomic status (SES) levels and the incidence of sensory impairment (SI) in the Chinese population.Methods:This study adopted a prospective cohort design, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) collected in July or August 2011. Participants who met the inclusion and exclusion criteria were followed up every 2-3 years until the onset of SI or the end of the follow-up period (August 2018). Based on educational attainment and annual per capita household expenditure, participants were classified into four SES groups: low, lower-middle, upper-middle, and high SES. Logistic regression was employed to analyze the relationship between different SES levels and the incidence of SI.Results:A total of 7 415 participants were included in the study, with a mean follow-up duration of 4.9 years. A total of 3 644 cases of incident SI were recorded (49.1%). Compared with the high SES group, the risk of developing SI was progressively higher in the upper-middle SES group ( OR=1.42, 95% CI: 1.03-1.96), lower-middle SES group ( OR=1.83, 95% CI: 1.29-2.60), and low SES group ( OR=2.04, 95% CI: 1.42-2.94) ( P for trend<0.001). Conclusions:SES is closely associated with new-onset SI. Enhancing SES may help reduce the risk of developing SI.

To explore the epidemiological characteristics of public health emergency events (PHEE) of varicella in the Beijing-Tianjin-Hebei region and analyze its related influencing factors. Excel was used to organize the varicella data in the Beijing-Tianjin-Hebei region from 2006 to 2021, reported by the management information system of PHEE, to describe the epidemiological characteristics of varicella events. Spatial autocorrelation and spatial scanning methods were used to test and determine its spatial clusters. Geographic detectors were used to analyze the impact of socio-economic factors. From 2006 to 2021, there were 644 reported varicella events in the Beijing-Tianjin-Hebei region, with a total of 18 052 cases and an incidence rate of 2.78%. The number, duration and response time M ( Q1, Q3) of each reported event were 22 (15, 35) cases, 19 (7, 34) days and 7 (4, 17) days, respectively. Hebei Province had a shorter response time and duration of events compared to Beijing and Tianjin. The most reported varicella events were in 2006 and 2007, with 112 and 106 events, respectively. By 2014, the number of events had decreased yearly, and there was a small peak from 2017 to 2019 between 2014 and 2021. From 2006 to 2021, the PHEE of varicella showed a seasonal bimodal distribution from March to June and from October to January of the following year, with peaks in May and December. There was a total of 500 reported varicella events in primary schools, including 218 events in rural primary schools (34%), 142 events in county and town primary schools (22%) and 140 events in urban primary schools (22%). The distribution of varicella events showed a positive spatial autocorrelation and strong spatial clustering, with Moran′s I of 0.31. The Class 1 clustering area was centered in Kuancheng Manchu Autonomous County, Chengde City, with a radius of 207 km and included 58 districts ( LLR=3 550.23, RR=3.78). The most explanatory factor among socio-economic factors was the proportion of the population aged 0-24 years old ( q=0.22), and the interaction effect between each factor was stronger than the independent effect. Overall, there are differences in the level of handling varicella events across Beijing, Tianjin and Hebei. The main occurrence of varicella events is in primary schools, especially in rural areas. Varicella events exhibit spatial clustering. Population structure-related factors have a strong impact on the risk of the incidence of varicella events.

To explore the epidemiological characteristics of public health emergency events (PHEE) of varicella in the Beijing-Tianjin-Hebei region and analyze its related influencing factors. Excel was used to organize the varicella data in the Beijing-Tianjin-Hebei region from 2006 to 2021, reported by the management information system of PHEE, to describe the epidemiological characteristics of varicella events. Spatial autocorrelation and spatial scanning methods were used to test and determine its spatial clusters. Geographic detectors were used to analyze the impact of socio-economic factors. From 2006 to 2021, there were 644 reported varicella events in the Beijing-Tianjin-Hebei region, with a total of 18 052 cases and an incidence rate of 2.78%. The number, duration and response time M ( Q1, Q3) of each reported event were 22 (15, 35) cases, 19 (7, 34) days and 7 (4, 17) days, respectively. Hebei Province had a shorter response time and duration of events compared to Beijing and Tianjin. The most reported varicella events were in 2006 and 2007, with 112 and 106 events, respectively. By 2014, the number of events had decreased yearly, and there was a small peak from 2017 to 2019 between 2014 and 2021. From 2006 to 2021, the PHEE of varicella showed a seasonal bimodal distribution from March to June and from October to January of the following year, with peaks in May and December. There was a total of 500 reported varicella events in primary schools, including 218 events in rural primary schools (34%), 142 events in county and town primary schools (22%) and 140 events in urban primary schools (22%). The distribution of varicella events showed a positive spatial autocorrelation and strong spatial clustering, with Moran′s I of 0.31. The Class 1 clustering area was centered in Kuancheng Manchu Autonomous County, Chengde City, with a radius of 207 km and included 58 districts ( LLR=3 550.23, RR=3.78). The most explanatory factor among socio-economic factors was the proportion of the population aged 0-24 years old ( q=0.22), and the interaction effect between each factor was stronger than the independent effect. Overall, there are differences in the level of handling varicella events across Beijing, Tianjin and Hebei. The main occurrence of varicella events is in primary schools, especially in rural areas. Varicella events exhibit spatial clustering. Population structure-related factors have a strong impact on the risk of the incidence of varicella events.

OBJECTIVE To provide a reference for improving the relevant standard operating procedures （SOP） and biological sample management in drug clinical trials. METHODS According to Good Clinical Practice， Data On-site Verification Points of Drugs Clinical Trials， Human Genetic Resources Management Regulations Implementation Rules， Qualification Examination Rules of Drug Clinical Trials Institution， based on the experience of managing clinical trials programs， the irregularities in biological samples management were analyzed by using statistical quality control tables and protocol deviation （PD） reported by sponsors， in the context of the quality control of drug clinical trials projects managed by the author from July 2016 to May 2023. The precautions in various aspects of sample management were put forward. RESULTS & CONCLUSIONS A total of 101 biospecimen- related irregularities were found in the 60 drug clinical trials projects. Biological sample collection， preservation， and handling were the aspects with the highest incidence of irregular operations in biological sample management， accounting for 37.62%， 25.74%， and 21.78%， respectively. Regulating the management of biospecimens requires multiple efforts. The institutional office and the ethics committee carefully reviewed the consistency of the protocols， informed consent， and genetic office application involving biospecimen collection and handling when the project was initiated. Institutional office quality controllers should pay attention to the attendance and training of authorized personnel at project initiation. The principal investigator， research nurse， collector， handler， transporter， relevant personnel of the central laboratory， and institutional office quality controller have their roles during the project implementation phase. On this basis， all parties involved in the management of biological samples should do a good job of effective communication， find problems and report them in time， and conduct special studies on key aspects.