||Rapid urbanization worldwide lets more than half of people to live in the less than 3% area of planet, which leads many negative impacts on human health. The decreasing of green space, air pollution, urban heat island due to rapid urbanization are not good for public health. The World Health Organization raised the goad to build “Healthy Cities”. There are 32 items to evaluate a healthy city, including green space and living space (including the reach to green space). Recently, many studies showed the importance of residential greenness of people housing would be more important than the area of green space on the human health and the prevention of human diseases, such as cardiovascular diseases, strokes, mental disorders. However, the association of residential greenness with developing diabetes has not been fully investigated. This thesis focuses on this issue to study this association. We hope the results to be as important references for housing level policy of governments.|
This study used a longitudinal health examination data bank from “MJ health data and biobank” from 2000 to 2014 with a total of 1,354,164 data. The biobank includes the personal information (such as age, gender, education, resident location, physical activity) and laboratory data (such as fasting blood sugar). In addition, the MODIS satellite from NASA, U.S. provided the residential greenness (NDVI) information. We also include the data from the government, including the income levels, education status, and residential area characters. We used ordinal logistic regression to analyze these data.
Our study showed the positive association of age with developing diabetes. Compared with the population with education less than elementary school, there were positive associations in the people with education levels of junior, senior high school, college and university with developing diabetes. However, there is no association in the population of more than graduate level with education less than elementary school. About the physical activity, there was positive association only in NDVI1000 group.
On the environmental elements, NDVI was negatively associated with the developing diabetes, which is the most important finding in this study. However, no association was found between the income and education level of residential counties with developing diabetes of study cases. The counties with high age the cases living was positive association with developing diabetes, compared with living under-developed area and remove village.
The findings from this study found the residential greenness of housing is important to prevent developing diabetes, which would be important evidence for housing-level policy of governments.