IntroductionWith China’s rapid industrialization and urbanization, China has been increasing its carbon productivity annually. Understanding the association between carbon productivity, socioeconomics, and medical resources with cardiovascular diseases (CVDs) may help reduce CVDs burden. However, relevant studies are limited.ObjectivesThe study aimed to describe the temporal and spatial distribution pattern of CVDs hospitalization in southeast rural China and to explore its influencing factors.MethodsIn this study, 1,925,129 hospitalization records of rural residents in southeast China with CVDs were analyzed from the New Rural Cooperative Medical Scheme (NRCMS). The spatial distribution patterns were explored using Global Moran’s I and Local Indicators of Spatial Association (LISA). The relationships with influencing factors were detected using both a geographically and temporally weighted regression model (GTWR) and multiscale geographically weighted regression (MGWR).ResultsIn southeast China, rural inpatients with CVDs increased by 95.29% from 2010 to 2016. The main groups affected were elderly and women, with essential hypertension (26.06%), cerebral infarction (17.97%), and chronic ischemic heart disease (13.81%) being the leading CVD subtypes. The results of LISA shows that central and midwestern counties, including Meilie, Sanyuan, Mingxi, Jiangle, and Shaxian, showed a high-high cluster pattern of CVDs hospitalization rates. Negative associations were observed between CVDs hospitalization rates and carbon productivity, and positive associations with per capita GDP and hospital beds in most counties (p < 0.05). The association between CVDs hospitalization rates and carbon productivity and per capita GDP was stronger in central and midwestern counties, while the relationship with hospital bed resources was stronger in northern counties.ConclusionRural hospitalizations for CVDs have increased dramatically, with spatial heterogeneity observed in hospitalization rates. Negative associations were found with carbon productivity, and positive associations with socioeconomic status and medical resources. Based on our findings, we recommend low-carbon development, use of carbon productivity as an environmental health metric, and rational allocation of medical resources in rural China.

Background Stepping into the 21st century,chronic diseases appeared "blowout" momentum in the world,especially in China.Currently,there are few reports on the dynamic risk factors of chronic diseases and their comprehensive intervention practice.Methods Collecting literature researches、government websites and conference materials.Under the guidance of the experts,making an interview outline and conducting face-to-face leadership interviews.Results The interventionable risk factors for chronic diseases mainly include tobacco use,harmful alcohol consumption,lack of physical activity,unreasonable dietary structure,indoor and outdoor environmental pollution worldly.Conclusions The process of chronic diseases and the risk factors is prolonged and dynamic.The prevention and control of NCDs need to take targeted comprehensive intervention measures towards different populations in different periods among life-cycle.Practices have proved that the comprehensive intervention measures for NCDs in China are effective and should be promoted around the world.