Background: Atrial fibrill ation (AF) is a predominant public health concern in older adults. Therefore, this study aimed to explore the global, regional, and national burden of AF in older adults aged 60–89 between 1990 and 2019.Methods: The morbidity, mortality, disability-adjusted life years (DALYs), and age-standardized rates of AF were refined from the Global Burden of Diseases study 2019. The epidemiological characteristics were assessed based on numerical values, age-standardized rates per 100,000 person-years, and estimated annual percentage changes (EAPC).Results: Globally, a total of 33.31 million AF cases, 219.4 thousand deaths, and 65.80 million DALYs were documented in 2019. There were no appreciable changes in EAPC from 1990 to 2019. The disease burden of AF differed significantly across different territories and countries. At the national level, China exhibited the highest number of incident cases [818,493 (562,871–1,128,695)], deaths [39,970 (33,722–46,387)], and DALYs [1,383,674 (1,047,540–1,802,516)]. At the global level, high body mass index (BMI) and high systolic blood pressure (SBP) were two predominant risk factors contributing to the proportion of AF-related deaths.Conclusion: AF in older adults remains a major public health concern worldwide. The burden of AF varies widely at both national and regional levels. From 1990 to 2019, the cases of incidences, deaths, and DALYs have shown a global increase. The ASIR, ASMR, and ASDR have declined in the high-moderate and high SDI regions; however, the burden of AF increased promptly in the lower SDI regions. Special attention should be paid to the main risk factors for high-risk individuals with AF, which can help control systolic blood pressure and body mass index within normal limits. Over all, it is necessary to illustrate the features of the global AF burden and develop more effective and targeted prevention and treatment strategies.

In recent years, public health emergencies, such as the COVID-19 pandemic and Ebola outbreaks, have occurred with increasing frequency worldwide, posing significant threats to global public health security. Policies serve as the foundation and institutional framework for effective emergency responses. Consequently, evaluating and optimizing the formulation and implementation of Public Health Emergency Response Policies (PHERPs) to enhance emergency response capacities has become an urgent and important research priority. This study developed an evaluation system for PHERPs using content analysis of policy texts, expert consultations, and the PMC-Index model. It quantitatively analyzed 33 central-level PHERPs in China issued between 2003 and 2020. The analysis revealed an average PMC-Index score of 6.43 for the 33 PHERPs. The PMC-Surface analysis highlighted that the top three scoring indicators were policy openness, policy structure, and policy area. In contrast, the lowest-scoring indicators were policy timeliness, issuing agency, and incentive measures. The study demonstrates was generally good. However, significant variability was observed in the scores of individual indicators across different policies. These findings provide valuable insights into the strengths and weaknesses of PHERPs and offer a reference for optimizing policy design and implementation.

As the Chinese population ages, unhealthfully high body mass index (BMI) levels in older adults are becoming a public health concern as an unhealthfully high BMI is an ill-being condition and can contribute to the risk of disease. Education and lifestyle choices affect BMI; however, the evidence on the relationships and interactions among these factors remains unclear. This study aimed to investigate the mediating effect of lifestyle choices on educational attainment and BMI among older adults in China. Using the Chinese Family Panel Studies (CFPS) 2018 panel data, this study integrated personal- and family-level economic data libraries, including 7,359 adults aged ≥60 years. Lifestyle parameters included smoking amount and screen time. Height and weight values were used to calculate BMI. The chi-square test, binary logistic regression analysis, stepwise regression analysis, and bootstrapping mediating effect tests were used for data analysis. Single-factor chi-square test revealed differences in BMI levels among groups defined by sex, age, residence, marital status, per capita annual household income, education years, and lifestyle choices. Binary logistic regression showed that age, residence, education years, smoking amount, and screen time influenced BMI. Stepwise regression results showed that education years, smoking amount, and screen time were associated with BMI (t = 3.907, −4.902, 7.491, P < 0.001). The lifestyle variables had partial mediating effects on BMI. The mediating effect of lifestyle on BMI was 0.009, while smoking amount was 0.003, and screen time was 0.006. Unhealthfully high BMI levels are increasing among older adults in China and are affected by many factors. Lifestyle factors and educational attainment can interact, affecting BMI. Interventions should consider lifestyle factors and education attainment to help maintain healthy BMI and reduce unhealthfully high BMI incidence.

Background Public health emergencies response polices (PHERPs) provide a basis and institutional guarantee for the implementation of emergency response work. At present, China has made certain achievements in emergency response for public health emergencies (PHE). In order to further improve the emergency response capability, it is necessary to conduct a systematic analysis of relevant policies, understand their content and role, and clarify directions for policy improvement.Methods Based on 33 comprehensive public health emergencies response policies (PHERPs) released by the central level of China from 2003 to 2019, text mining and content analysis were used to construct a PMC index model with 10 first-lever and 46 second-level variables. The policies were quantitatively evaluated to analyze their strengths and weaknesses.Results In this study, finds that the average PMC index value for the 33 policies was 6.43, with an average rating of acceptable. Among them, 10 policies were rated as excellent, 23 policies were rated as acceptable, and there were no poor policies. For the first-level variables, the mean scores for policy openness, policy structure, policy area, policy focus, and policy nature were relatively high, at 1.00, 0.88, 0.87, 0.85, and 0.86, respectively. However, the scores for policy timeliness, policy issuing agency, incentive measures, policy target, and policy function were relatively low, at 0.25, 0.27, 0.41, 0.54, and 0.50, respectively, which need to be given more attention.Conclusions In this study, we also emphasized that the use of the PMC index model policy evaluation method in researching policies related to emergency response to PHE is relatively rare. These findings contribute to a more comprehensive understanding of the strengths and weaknesses of PHERPs, and provide a reference for further research.