533 / 2019-02-28 19:40:32
The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images
全文录用
Ye Liu / Sun Yat-Sen University
Ruoyu Wang / School of Geography and Planning
Yi Lu / City University of Hong Kong
Jinbao Zhang / Sun Yat-Sen University
Penghua Liu / Sun Yat-Sen University
Yao Yao / China University of Geosciences
Neighbourhood walkability has been consistently associated with more physical activities in adults. Nevertheless, evidence of a beneficial association between walkability and older adults’ mental health is still scant in developing countries. Furthermore, walkability was often measured through Geographic Information System (GIS) methods. Recently, the methodological development in street view images, such as using Google or Tencent Street View, has offered an attractive alternative. Using Tencent street view images and machine learning classification methods, we quantify visual enclosure for neighbourhood street walkability with the proportion of visible sky in those images. Depression and anxiety data were extracted from mental health surveys for 1231 older adults in Beijing, China in 2011. Multilevel linear regression models were used to assess the associations. Street walkability was negatively associated with Geriatric Depression Scale scores (GDS 15-item) and Geriatric Anxiety Inventory scores (GAI 20-item), and the results of different robustness checks also support this relationship. The associations were stronger for disadvantaged older adults than others. The present study indicates a potential beneficial role of street walkability on mental health (depression and anxiety) for the elderly, especially for those who were disadvantaged.
重要日期
  • 会议日期

    07月08日

    2019

    07月12日

    2019

  • 06月28日 2019

    初稿截稿日期

  • 07月12日 2019

    注册截止日期

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