ObjectiveTo investigate the prevalence and its influencing factors of hyperuricemia (HUA) among the employed individuals who undergo occupational health screening in Shanghai, so as to provide a scientific basis for the prevention and control of HUA and for the health promotion in this population. MethodsCluster sampling methods were performed to recruit all the employed individuals who underwent routine health check-ups at the Shanghai Health and Medical Center from January to December 2023. Relevant data, including physical examination results, laboratory tests, and questionnaire surveys, were collected for analyses. Based on the diagnostic criteria for HUA, participants were categorized into HUA group and non-HUA group. Logistic regression analysis was used to identify the influencing factors of HUA. ResultsThe detection rate of HUA in the employed population of Shanghai was 23.26%, with a significantly higher rate in males (31.12%) than that in females (10.43%) (χ²=381.853,P<0.001). The detection rate of HUA increased with age (χ²_trend=5.728, P_trend=0.017). Logistic regression analysis revealed that males had a higher risk for HUA the females, with overweight, obesity, meat-predominant diet, hypertension, and dyslipidemia being positively correlated with HUA risk. While, individuals aged 40‒ and 50‒ years had a lower risk for HUA compared with those aged 20‒ years. ConclusionThe prevalence of HUA among the employed individuals who undergo health check-ups in Shanghai is relatively high. Attention should be paid to maintaining a healthy lifestyle and keeping a balanced diet. Targeted health management should prioritize for males, individuals with hypertension and BMI overweight and obesity, and those with dyslipidemia to reduce the risk of HUA.

This study aimed to develop the calculation method of pre-hospital emergency physician allocation gap and apply it to Shanghai.In order to reduce the ambulance dispatch lag frequency, through the analysis of its da-ta in the Shanghai urban area, the research group obtained the gap and extended the data to Shanghai city.The peak method establishes the association between pre-hospital emergency physician increment and the ambulance dispatch lag decrement.Based on descriptive statistics, the peak method by which the Shanghai ambulance dispatch lag data were analyzed uses the SAS programming software.This method of using programming software provides it with good reliability and validity.After an increase of 40 duty vehicles (381 pre-hospital emergency physicians), the ambu-lance dispatch lag ratio would drop from 25.61 percent to 0.22.Therefore, the association between the pre-hospital emergency physician increment and the ambulance dispatch lag decrement was established and can provide a scientif-ic evidence for the policy formulation.

Based on the current status of allocation, demands and utilization of medical care resources and the needs for future development in Shanghai, the overall objectives, principles, key plans of allocation of medical care resources in the 12th Five-years Plan in Shanghai and the leading role of health bureaus at all levels were discussed.