Background: Health literacy is an increasingly important public health concern. However, little is known about the health literacy of general public in China. The aim of this study was to evaluate the prevalence of low health literacy and demographic associations in Shanghai, China. Methods: This study was a community-based cross-sectional health survey utilizing a multi-stage random sampling design. The sample consisted of 1360 individuals aged 15–69 years with the total community-dwelling Chinese as the sample frame. Health literacy was measured by a questionnaire developed on the basis of a national health literacy manual released by the Chinese Ministry of Health. Multiple logistic regression models were used to identify whether common socio-demographic features were associated with health literacy level. Results: The prevalence of low health literacy was 84.49% (95% CI, 82.56% to 86.41%). The prevalence of low health literacy was negatively associated with the level of education, occupation, and annual household income, but was not associated with gender, age, or the presence of non-communicable chronic disease. Conclusions: Simplifying health services, enhancing health education, and promoting interventions to improve health literacy in high-risk populations should be considered as part of the strategies in the making of health policy in China.

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Taking Jinghe River Basin in the Loess geomorphological area and Guangnan County in the karst geomorphological area as the study area, the spatial distribution characteristics of urban and rural areas of different geomorphological types are analyzed. By using GIS and related statistical analysis software, this paper summarizes three basic urban and rural types: river channel type, plateau surface type, and loess terrace horizon prototype in the Loess Landscape Jinghe River Basin. It is known that most towns in the loess plateau gully area are in the Jinghe River Basin. According to the spatial distribution characteristics of urban and rural areas, the optimal layout based on the main structure of five districts, nine River corridors, and four plates is proposed. Using the DEM module of ArcGIS to divide the elevation and gradient of Guangnan County, we know that the density of urban and rural settlements in Guangnan County is low and the spatial distribution is dispersed, and the distribution of urban and rural settlements shows a strong elevation orientation. The distribution of urban and rural settlements has a normal distribution relationship with the elevation. The largest number of urban and rural settlements is between 2.1° and 25°. According to the present situation of settlement distribution, this paper puts forward some optimization strategies, such as appropriate settlement scale, settlement space development monitoring, and so on.

“Smart growth” is an urban planning concept. In this paper, the overall urban-rural smart growth efficiency is explored, which serves as an indicator to effectively measure the allocation of urban-rural spatial resources and structural rationality of the urban-rural space. Taking a developing county city in northwest China plains area as an example, the urban-rural spatial efficiency system was established and the evaluation model constructed by using the data envelopment analysis (DEA)-slack-based measure (SBM) model. The model was used to empirically analyze the characteristics in 2000, 2010, and 2018. The results show that the urban-rural spatial efficiency of the urban-rural space degree of a county in northwest China plains area exhibits growth trend on the whole, and scale efficiency increases the most. The increase of technical efficiency promotes the growth of spatial performance, which is mainly manifested in the construction of industrial parks. Although urban and rural spatial performance has made great achievements, there are still problems. Results of the test for each city indicate that the method proposed in this study is, in fact, quite effective in evaluating the smart growth pattern for developing cities. Finally, the corresponding improvement social and economic policies’ strategy is proposed.