Green space structures and schizophrenia incidence in Taiwan: Is there an association?

Hao Ting Chang, Chih Da Wu, Jung Der Wang, Po See Chen, Ying Jan Wang, Huey Jen Su

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)


A growing body of research indicates overall greenness offers potential psychological benefits. However, few studies have explored green space structures and their potential association with mental disorders. The aim of this study was to determine the existence of such an association. From two million randomly sampled people in Taiwan's National Health Insurance Research Database, we selected 3823 patients that received a first-time diagnosis of schizophrenia from 2005-2016. Moreover, we used a geographic information system and a landscape index to quantify three characteristics of green space structures including area and edge, shape, and proximity. Additionally, we collected the normalized difference vegetation index and enhanced vegetation index data to reconfirm the association between overall greenness and schizophrenia incidence. We used the indices to determine individuals' exposure according to their residential township. Spearman's correlation analysis was conducted to select variables by considering their collinearity. Cox proportional-hazards models were applied to assess the relationship between green space exposure and schizophrenia incidence following adjustment for potential confounders, such as air pollution (NO2, SO2, ozone, and PM10), temperature, precipitation, and socioeconomic status, which are risk factors. We found a negative association between most green space structures indices and schizophrenia incidence. Our findings suggest that for green spaces, a larger mean patch area and edge density, higher complex (higher perimeter-area ratio), and greater proximity (higher contiguity index, aggregation index, and contagion index), may reduce the risk of schizophrenia. A sensitivity test and subgroup analysis revealed similar results.

期刊Environmental Research Letters
出版狀態Published - 2020 九月

All Science Journal Classification (ASJC) codes

  • 可再生能源、永續發展與環境
  • 環境科學 (全部)
  • 公共衛生、環境和職業健康


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