Objective:To analyze the current allocation situation and equity of Class B large medical equipment in China,and provide references for reasonably optimizing the allocation of medical equipment.Methods:Based on the allocation data of Class B large medical equipment in China at the end of the 13th Five Year Plan period,the agglomeration degree method was used to evaluate the equity of equipment allocation in various regions from the dimensions of geography,population,and economic development.Results:The current allocation of Class B large medical equipment per million population was 3.19,and the eastern region(3.64)was higher than the central region(3.42),the central region(2.24)was higher than the western region.The agglomeration degree of medical equipment based on geographical area showed that most of the equipment in the eastern region was in a rich state,and the allocation equity was relatively good in the central region,but generally poor in the western region.The agglomeration degree of medical equipment based on population distribution was higher in the eastern region than in the central region and even higher in the western region.The equipment in the eastern region could basically meet the demand of the local population,while the allocation in the central and western regions was slightly insufficient.The distribution of medical equipment agglomeration degree based on economic development varied significantly among different regions,and the allocation equity of central region was generally better than that of eastern and western regions.Conclusion:The total allocation of Class B large medical equipment in China is not high,and the government needs to continue planning and improving it.The distribution of medical equipment allocation based on geography,population and economic development is unbalanced among the eastern,central and western regions.Improving the equity of medical equipment allocation also needs to consider regional differences and characteristics according to local conditions.

ObjectiveTo analyze the prevalence of myopia among the primary school students in Shanghai, and to explore its relationship with sleep duration and sleep quality, providing references for precise myopia prevention. MethodsA cross-sectional survey and random sampling were employed. Between April and May 2023, a total of 1 889 students from grades 1 to 5 in Jiading District, Shanghai, were selected for vision testing and a questionnaire on children’s sleeping habits and relevant factors were conducted using the Children’s Sleep Habits Questionnaire (CSHQ) in Chinese. The relationship between myopia and sleep patterns was analyzed using chi-square tests and a multivariate logistic regression model. ResultsThe overall myopia rate among the primary school students in Jiading District, Shanghai, was 35.6%. The results of univariate analysis showed that in the myopia group, the incidences of sleep disturbance and sleep anxiety were lower compared to children without myopia, while the incidences of sleep continuity and parasomnias were higher than there in the non-myopia group (χ²=12.816, 10.292, 10.971, 3.917, all P<0.05). Additionally, among the elementary school students with an average daily sleep duration of less than 10 hours, the prevalence of myopia was higher. The multivariate logistic regression analysis revealed that factors such as being female (OR=1.291, 95%CI: 1.044‒1.597), higher grade levels (2^nd grade: OR=2.174, 95%CI: 1.471‒3.212; 3^rd grade:OR=3.850, 95%CI: 2.648‒5.598; 4^th grade: OR=8.906, 95%CI: 6.154‒12.890; 5^th grade: OR=12.299, 95%CI: 8.433‒17.937), having one parent (OR=2.250, 95%CI: 1.757‒2.881) or both parents(OR=3.623, 95%CI: 2.719‒4.827) with myopia, and parasomnias (OR=1.518, 95%CI: 1.065‒2.163) were associated with a higher detection rate of myopia. ConclusionThe prevalence of myopia is notably high among the primary school students in Jiading District, Shanghai, and there is an association between the occurrence of myopia and parasomnias.