Xu Wang , Zhaoming Wang , Zhifeng WU , Boyu LI , Lei Yao
{"title":"城市景观与环境压力对老年人心理健康的影响:社区尺度的实证研究","authors":"Xu Wang , Zhaoming Wang , Zhifeng WU , Boyu LI , Lei Yao","doi":"10.1016/j.ufug.2025.129009","DOIUrl":null,"url":null,"abstract":"<div><div>Mental health challenges, predominantly anxiety and depression, have emerged as critical issues affecting elderly well-being. A comprehensive understanding of the effect of multifaceted characteristics of community environment on elderly mental health is a fundamental prerequisite for the development of age-friendly urban environments. Therefore, this study investigated elderly anxiety and depression in a representative urbanized region of Beijing. The research employed a two-phase methodology: administering standardized psychological assessments through short Geriatric Depression Scale (GDS-15) and Geriatric Anxiety Inventory (GAI), followed by the application of the Boosted Regression Tree model to analyze the potential associations of urban landscape and environmental stress on elderly mental health. Results show that: (1) Environmental stress is generally more important for elderly mental disorders than urban landscape. Among urban landscape, building density (BD) in building landscape contributed 12.79 % and 12.88 % to GDS-15 and GAI, respectively. Besides, in green space landscape, green space density (GD) (11.26 %) showed a strong contribution to GDS-15 as well as landscape shape index (GLSI) (11.67 %) to GAI, respectively. Regarding environmental stress, both air pollution (characterized by PM<sub>2.5</sub>) and heat stress (characterized by physiological equivalent temperature (PET)) showed strong contributions of 12.29 % and 11.90 to GDS-15 and 12.77 % and 11.92 % to GAI, respectively. (2) Distinct marginal effect emerges across elements. When BD and GD exceeded 20 % and 30 %, respectively, their improvement effects on elderly mental health were weakened or reversed, while the deterioration effects of PM<sub>2.5</sub> and PET on GDS-15 and GAI became particularly pronounced when they exceeded 97–99 µg/m<sup>3</sup> and 27.6–27.8℃. These findings provide valuable insights for mental health-oriented planning and public health interventions.</div></div>","PeriodicalId":49394,"journal":{"name":"Urban Forestry & Urban Greening","volume":"113 ","pages":"Article 129009"},"PeriodicalIF":6.7000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mental health effects of urban landscape and environmental stress on the elderly, an empirical community-scale study\",\"authors\":\"Xu Wang , Zhaoming Wang , Zhifeng WU , Boyu LI , Lei Yao\",\"doi\":\"10.1016/j.ufug.2025.129009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Mental health challenges, predominantly anxiety and depression, have emerged as critical issues affecting elderly well-being. A comprehensive understanding of the effect of multifaceted characteristics of community environment on elderly mental health is a fundamental prerequisite for the development of age-friendly urban environments. Therefore, this study investigated elderly anxiety and depression in a representative urbanized region of Beijing. The research employed a two-phase methodology: administering standardized psychological assessments through short Geriatric Depression Scale (GDS-15) and Geriatric Anxiety Inventory (GAI), followed by the application of the Boosted Regression Tree model to analyze the potential associations of urban landscape and environmental stress on elderly mental health. Results show that: (1) Environmental stress is generally more important for elderly mental disorders than urban landscape. Among urban landscape, building density (BD) in building landscape contributed 12.79 % and 12.88 % to GDS-15 and GAI, respectively. Besides, in green space landscape, green space density (GD) (11.26 %) showed a strong contribution to GDS-15 as well as landscape shape index (GLSI) (11.67 %) to GAI, respectively. Regarding environmental stress, both air pollution (characterized by PM<sub>2.5</sub>) and heat stress (characterized by physiological equivalent temperature (PET)) showed strong contributions of 12.29 % and 11.90 to GDS-15 and 12.77 % and 11.92 % to GAI, respectively. (2) Distinct marginal effect emerges across elements. When BD and GD exceeded 20 % and 30 %, respectively, their improvement effects on elderly mental health were weakened or reversed, while the deterioration effects of PM<sub>2.5</sub> and PET on GDS-15 and GAI became particularly pronounced when they exceeded 97–99 µg/m<sup>3</sup> and 27.6–27.8℃. These findings provide valuable insights for mental health-oriented planning and public health interventions.</div></div>\",\"PeriodicalId\":49394,\"journal\":{\"name\":\"Urban Forestry & Urban Greening\",\"volume\":\"113 \",\"pages\":\"Article 129009\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Forestry & Urban Greening\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1618866725003437\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Forestry & Urban Greening","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1618866725003437","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Mental health effects of urban landscape and environmental stress on the elderly, an empirical community-scale study
Mental health challenges, predominantly anxiety and depression, have emerged as critical issues affecting elderly well-being. A comprehensive understanding of the effect of multifaceted characteristics of community environment on elderly mental health is a fundamental prerequisite for the development of age-friendly urban environments. Therefore, this study investigated elderly anxiety and depression in a representative urbanized region of Beijing. The research employed a two-phase methodology: administering standardized psychological assessments through short Geriatric Depression Scale (GDS-15) and Geriatric Anxiety Inventory (GAI), followed by the application of the Boosted Regression Tree model to analyze the potential associations of urban landscape and environmental stress on elderly mental health. Results show that: (1) Environmental stress is generally more important for elderly mental disorders than urban landscape. Among urban landscape, building density (BD) in building landscape contributed 12.79 % and 12.88 % to GDS-15 and GAI, respectively. Besides, in green space landscape, green space density (GD) (11.26 %) showed a strong contribution to GDS-15 as well as landscape shape index (GLSI) (11.67 %) to GAI, respectively. Regarding environmental stress, both air pollution (characterized by PM2.5) and heat stress (characterized by physiological equivalent temperature (PET)) showed strong contributions of 12.29 % and 11.90 to GDS-15 and 12.77 % and 11.92 % to GAI, respectively. (2) Distinct marginal effect emerges across elements. When BD and GD exceeded 20 % and 30 %, respectively, their improvement effects on elderly mental health were weakened or reversed, while the deterioration effects of PM2.5 and PET on GDS-15 and GAI became particularly pronounced when they exceeded 97–99 µg/m3 and 27.6–27.8℃. These findings provide valuable insights for mental health-oriented planning and public health interventions.
期刊介绍:
Urban Forestry and Urban Greening is a refereed, international journal aimed at presenting high-quality research with urban and peri-urban woody and non-woody vegetation and its use, planning, design, establishment and management as its main topics. Urban Forestry and Urban Greening concentrates on all tree-dominated (as joint together in the urban forest) as well as other green resources in and around urban areas, such as woodlands, public and private urban parks and gardens, urban nature areas, street tree and square plantations, botanical gardens and cemeteries.
The journal welcomes basic and applied research papers, as well as review papers and short communications. Contributions should focus on one or more of the following aspects:
-Form and functions of urban forests and other vegetation, including aspects of urban ecology.
-Policy-making, planning and design related to urban forests and other vegetation.
-Selection and establishment of tree resources and other vegetation for urban environments.
-Management of urban forests and other vegetation.
Original contributions of a high academic standard are invited from a wide range of disciplines and fields, including forestry, biology, horticulture, arboriculture, landscape ecology, pathology, soil science, hydrology, landscape architecture, landscape planning, urban planning and design, economics, sociology, environmental psychology, public health, and education.