{"title":"基于纵向设计的中国建成环境与成人心理健康的非线性交互关联","authors":"Yanxiao Liu , Jingjing Li , Wei Yang","doi":"10.1016/j.apgeog.2025.103662","DOIUrl":null,"url":null,"abstract":"<div><div>We attempted to investigate longitudinal nonlinear and interactive associations between built environments and mental health in China, using data from China Family Panel Studies (CFPS) in 2010 and 2014. We employed the XGBoost model to examine how changes in built environments were related to changes in mental health. We observed longitudinal nonlinear threshold effects of built environments on mental health: participants living in neighborhoods with the increase in neighborhood attractiveness reaching to 4-unit and the increase in the quantity of medical facilities reaching to 10 were more likely to have better mental health. In contrast, a substantial increase (between 8 and 12) in the quantity of early education facilities was negatively associated with mental health. Further, improvement in neighborhood attractiveness and increase in the quantity of medical facilities together strengthened mental health benefits. The implications of these findings include that it is critical to identify the threshold for built environment features to achieve optimal mental health benefits. Besides, it is important to integrate multiple built environment features together to amplify the mental health benefits. Intervention strategies should be tailored to specific geographic contexts to prioritize improving built environment features.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"180 ","pages":"Article 103662"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonlinear interactive associations between built environments and adults’ mental health in China using a longitudinal design\",\"authors\":\"Yanxiao Liu , Jingjing Li , Wei Yang\",\"doi\":\"10.1016/j.apgeog.2025.103662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We attempted to investigate longitudinal nonlinear and interactive associations between built environments and mental health in China, using data from China Family Panel Studies (CFPS) in 2010 and 2014. We employed the XGBoost model to examine how changes in built environments were related to changes in mental health. We observed longitudinal nonlinear threshold effects of built environments on mental health: participants living in neighborhoods with the increase in neighborhood attractiveness reaching to 4-unit and the increase in the quantity of medical facilities reaching to 10 were more likely to have better mental health. In contrast, a substantial increase (between 8 and 12) in the quantity of early education facilities was negatively associated with mental health. Further, improvement in neighborhood attractiveness and increase in the quantity of medical facilities together strengthened mental health benefits. The implications of these findings include that it is critical to identify the threshold for built environment features to achieve optimal mental health benefits. Besides, it is important to integrate multiple built environment features together to amplify the mental health benefits. Intervention strategies should be tailored to specific geographic contexts to prioritize improving built environment features.</div></div>\",\"PeriodicalId\":48396,\"journal\":{\"name\":\"Applied Geography\",\"volume\":\"180 \",\"pages\":\"Article 103662\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geography\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0143622825001572\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geography","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143622825001572","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Nonlinear interactive associations between built environments and adults’ mental health in China using a longitudinal design
We attempted to investigate longitudinal nonlinear and interactive associations between built environments and mental health in China, using data from China Family Panel Studies (CFPS) in 2010 and 2014. We employed the XGBoost model to examine how changes in built environments were related to changes in mental health. We observed longitudinal nonlinear threshold effects of built environments on mental health: participants living in neighborhoods with the increase in neighborhood attractiveness reaching to 4-unit and the increase in the quantity of medical facilities reaching to 10 were more likely to have better mental health. In contrast, a substantial increase (between 8 and 12) in the quantity of early education facilities was negatively associated with mental health. Further, improvement in neighborhood attractiveness and increase in the quantity of medical facilities together strengthened mental health benefits. The implications of these findings include that it is critical to identify the threshold for built environment features to achieve optimal mental health benefits. Besides, it is important to integrate multiple built environment features together to amplify the mental health benefits. Intervention strategies should be tailored to specific geographic contexts to prioritize improving built environment features.
期刊介绍:
Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.