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China is in the process of integrating the new cooperative medical scheme (NCMS) and the urban residents’ basic medical insurance system (URBMI) into the urban and rural residents’ basic medical insurance system (URRBMI). However, how to integrate the financing policies of NCMS and URBMI has not been described in detail. This paper attempts to illustrate the differences between the financing mechanisms of NCMS and URBMI, to analyze financing inequity between urban and rural residents and to identify financing mechanisms for integrating urban and rural residents’ medical insurance systems. Financing data for NCMS and URBMI (from 2008 to 2015) was collected from the China health statistics yearbook, the China health and family planning statistics yearbook, the National Handbook of NCMS Information, the China human resources and social security statistics yearbook, and the China social security yearbook. “Ability to pay” was introduced to measure inequity in health financing. Individual contributions to NCMS and URBMI as a function of per capita disposable income was used to analyze equity in health financing between rural and urban residents. URBMI had a financing mechanism that was similar to that used by NCMS in that public finance accounted for more than three quarters of the pooling funds. The scale of financing for NCMS was less than 5% of the per capita net income of rural residents and less than 2% of the per capita disposable income of urban residents for URBMI. Individual contributions to the NCMS and URBMI funds were less than 1% of their disposable and net incomes. Inequity in health financing between urban and rural residents in China was not improved as expected with the introduction of NCMS and URBMI. The role of the central government and local governments in financing NCMS and URBMI was oscillating in the past decade. The scale of financing for URRBMI is insufficient for the increasing demands for medical services from the insured. The pooling fund should be increased so that it can better adjust to China’s rapidly aging population and epidemiological transitions as well as protect the insured from poverty due to illness. Individual contributions to the URBMI and NCMS funds were small in terms of contributors’ incomes. The role of the central government and local governments in financing URRBMI was not clearly identified. Individual contributions to the URRBMI fund should be increased to ensure the sustainable development of URRBMI. Compulsory enrollment should be required so that URRBMI improves the social medical insurance system in China.

Adolescent diabetes is one of the major public health problems worldwide. This study aims to estimate the burden of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in adolescents from 1990 to 2021, and to predict diabetes prevalence through 2030. We extracted epidemiologic data from the Global Burden of Disease (GBD) on T1DM and T2DM among adolescents aged 10–24 years in 204 countries and territories worldwide. This study calculated the age-standardized prevalence rate (ASPR) and age-standardized DALY rate (ASDR) in adolescents based on the world standard population for cross-country comparisons. Average annual percentage changes (AAPC) in age-standardized rate were calculated by linkage point regression. Correlation analyses were used to identify the relationship between age-standardized rate and sociodemographic index (SDI). The Bayesian age-period-cohort (BAPC) model was used to predict changes in the diabetes prevalence among adolescents from 2022 to 2030. In 2021, 3.4 million adolescents were living with T1DM, with an ASPR of 180.96 (95% CI 180.77–181.15), and 14.6 million were living with T2DM, with ASPR of 1190.73 (1190.13–1191.34). As national and territory SDI levels rise, the prevalence rate of T1DM increases (r = 0.44, p < 0.01), and the prevalence rate of T2DM decreases (r = − 0.18, p < 0.01). Compared with males, females had a greater age-standardized prevalence of T1DM (185.49 [185.21–185.76] vs. 176.66 [176.39–176.92]), whereas males had a greater ASPR of T2DM than females did (1241.45 [1240.58–1242.31] vs. 1138.24 [1137.40–1139.09]). This study found a negative correlation between the SDI and the ASDR for both T1DM (r = − 0.51, p < 0.01) and T2DM (r = − 0.62, p < 0.01) in adolescents. For T2DM patients, 32.84% of DALYs were attributed to high BMI, which increased by 40.78% during the study period. By 2030, 3.7 million people are projected to have T1DM, and 14.6 million are projected to have T2DM. Among adolescents, the burden of T1DM and T2DM is increasing and varies by region, sex, and SDI. Therefore, targeted interventions based on regional features are needed to prevent and control adolescent diabetes. Moreover, more efforts are needed to control climate change and obesity to reduce the adolescent diabetes burden.

Despite the high effectiveness of HPV vaccines in preventing infection, vaccine hesitancy remains a concern, particularly in China. This study aimed to explore college students' attitudes toward HPV vaccination and identify associated factors. Data was collected through a cross-sectional survey using self-administered questionnaires in four cities from May to June 2022. Chi-square tests and logistic regression analyses were conducted to identify factors. Additionally, an integrated structural equation model (SEM) based on the 3Cs (confidence, convenience, complacency) was developed to understand underlying factors contributing to hesitancy. The results from 2261 valid questionnaires were enlightening. A significant 89.47% (59.4% for females) considered HPV vaccination necessary, with 9.82% remaining neutral and only 0.71% deeming it unnecessary. Factors like higher education, being a medical student, residing in urban areas, having medical insurance, more extraordinary living expenses, a family history of tumors, and a solid understanding of HPV played a role in perceiving the vaccine as necessary. Among the 1438 female respondents, 84.36% had no hesitancy toward HPV vaccination, 13.53% expressed hesitancy, and 2.11% refused vaccination. Factors like age, understanding of HPV, medical staff recommendations, living expenses, and family history influenced hesitancy levels. SEM revealed that the 3Cs significantly affected vaccine hesitancy. Factors like price, booking process, vaccination times, trust in vaccines, medical staff recommendations, efficiency, and risk perception collectively influenced hesitancy. In conclusion, this study found high acceptance of HPV vaccination but acknowledged the complexity of hesitancy factors. It recommends medical staff disseminate scientific knowledge, offer recommendations, simplify booking procedures, and expand vaccination sites to address vaccine hesitancy effectively.

Background: Cervical cancer poses a heavy health burden in China, with the second highest incidence and mortality rate among female tumors, yet human papillomavirus (HPV) vaccination rate among female university students remain remains low. This study conducted a cross-sectional survey to assess the degree of HPV vaccine hesitancy among female university students and to explore the potential association between knowledge, risk perception, trust, and HPV vaccine hesitancy. Methods: A total of 1,438 female university students from four Chinese cities were recruited through stratified, multistage, cluster sampling method. The mediation model was constructed using the Bootstrap method, introducing trust and risk perception as mediating variables to examine the effect of knowledge on HPV vaccine hesitancy. Results: The study found that 8.9% (95%CI:7.4%∼10.4%) of the female university students exhibited HPV vaccine hesitancy. Pearson’s correlation analysis revealed a negative association between vaccine hesitancy and knowledge, risk perception, and trust. The mediation model showed that knowledge had significant indirect effects on HPV vaccine hesitancy through trust (indirect effect: -0.224, 95% CI: -0.293 ∼ -0.167) and risk perception (indirect effect: -0.013, 95% CI: -0.033 ∼ -0.002). Conclusion: HPV vaccine hesitancy among female university students has mitigated, but still needs to be addressed. In addition, trust and risk perception are mediators mediating the relationship between knowledge with HPV vaccine hesitancy. Therefore, there is a need to strengthen public health education to improve knowledge, with a particular focus on providing information about trust and risk perception to reduce HPV vaccine hesitancy.