Objective To analyze the choice preferences and factors influencing the long-term care (LTC)of disabled elderly in Beijing and to provide a reference for the development of aging service industry based on the present supply situations. Methods This cross-sectional study included the sociodemographic and disability information and the need for LTC.Statistical analysis was performed using the chi-square test and multivariate logistic regression analysis. Results About 75.5% (1 169) of respondents preferred household-based LTC,whereas only 0.8%(12)preferred community-based LTC.In a single factor analysis,gender,age,educational level,living conditions,marital status,income,medical and pension insurances,chronic diseases,vision,hearing,sense of taste and touch,and self-evaluation of health had statistically significant difference (χ2= 35.19, 195.58, 295.21, 245.88, 10.89, 30.33, 230.62, 277.87, 77.09, 51.07, 131.03, 124.50, 23.18, and 37.51,respectively, P<0.05). Multivariate analysis showed that educational level, marital status, medical and pension insurances, self-evaluation of health were correlated with household-based LTC,(odds ratio and 95%confidence interval,0.69(0.54-0.89),51.61(21.55-123.59), 0.29(0.09-0.94),0.40(0.22-0.73),and 0.63(0.45-0.88),respectively).Conclusions The services in the old-age caring industry have become inevitably diverse, and many factors affect the choice of LTC. Therefore,LTC insurance and community-based care should be established to meet the needs of the elderly.

Objective:To understand the health status,influencing factors and spatial distribution of the Chinese floating population and to evaluate the health equity of the floating population.Methods:All the data were collected from the 2017 Migrant Population Dynamic Monitoring Survey in China,binary Logistic regression was used to analyze the factors that might affect the health of the floating population,and the concentration index method was used to evaluate the health equity of the floating population.Spa-tial autocorrelation analyses the spatial aggregation of health status and health equity.Results:The un-healthy rate of the floating population in China was 2.71％.Age and gender show a statistically signifi-cant impact on self-rated health;that is,as age increases,the self-rated health of the migrant population gradually deteriorates,and women are more likely to think that they are unhealthy.Fairness analysis shows that the concentration index of the floating population is 0.021 7,the urban household registration floating population is 0.021 6,and the rural household registration floating population is 0.021 9.It is shown that the fairness of the health status of the floating population is biased towards the high-income class,and the rural household registration floating population's health unfairness is greater than that of the urban household registration migration population.Moreover,Moran's i=0.211 for self-rated health and Moran's i=0.291 for the unhealthy rate indicate that self-rated health has a spatial aggregation trend.Moran's i=0.136 showed the characteristics of spatial clustering,and the two-week prevalence fairness of the floating population was mainly in the northern and southeastern coastal areas.Conclusion:In general,the health status of the floating population in China is relatively good.The main influencing factors of health included gender and age.The central tendency of health inequity is reflected in the south-east coastal and northern regions,which are characterized by poverty.Attention to spatial aggregation is not only helpful to analyze the reasons of floating population,but also to study the health differences between different regions and health-related factors,to improve the overall health level of the whole population.