綠地結構與思覺失調症之關聯

Relationships between Green Space Structures and Schizophrenia

張皓庭(Hao-Ting Chang) ； 吳治達(Chih-Da Wu) ； 王榮德(Jung-Der Wang) ； 陳柏熹(Po-See Chen) ； 龍世俊(Shih-Chun Candice Lung) ； 趙馨(Hsing Jasmine Chao) ； 潘文驥(Wen-Chi Pan) ； 王應然(Ying-Jan Wang) ； Samuel Herianto ； 蘇慧貞(Huey-Jen Su)

《航測及遙測學刊》 27卷2期 (2022/06) Pp. 79-99

https://doi.org/10.6574/JPRS.202206_27(2).0002

摘要

近年研究揭示綠地暴露對思覺失調症的益處，然而大多以植生指數做為綠地暴露指標，但實際上仍有許多綠地相關的因子可能與疾病有關，例如：綠地的大小、形狀、近鄰性等（綠地結構指標），不過鮮少有人探討，且還未有研究進一步了解暴露不同綠地結構指標後，可能節省的終身醫療費用。本研究使用健保資料庫、NASA MODIS衛星影像、第二次國土利用調查資料、地理資訊系統（ArcGIS）和FRAGSTATS 4來進行研究。研究結果發現暴露的綠地愈綠、面積愈大、形狀愈複雜、綠地彼此之間愈靠近，可能降低罹病風險，且可能節省0.10至0.52百萬美金的終身醫療費用。

關鍵字

思覺失調症 ； 綠地結構指標 ； 植生指標 ； 終身醫療費用 ； 健保資料庫

並列摘要

Recent studies have revealed the benefits of green space exposure for schizophrenia. However, vegetation index is mostly used as indices of green space exposure, but in fact there are still many green space-related factors that may be related to mental disorder, such as the size, shape, and proximity of green spaces (called green space structures), but few studies have investigated it, and there is no research to further estimate the lifetime healthcare costs that may be saved after different indices of green space structure are exposed. This research uses the health insurance database, NASA MODIS satellite images, the second national land survey database, geographic information system (ArcGIS) and FRAGSTATS 4 for research. The results of this study found that the greener the exposed green space is, the larger the area, the more complex the shape, and the closer the green spaces are to each other, which may reduce the risk of schizophrenia and may save 0.10 to 0.52 million US dollars in lifetime healthcare costs.

並列關鍵字

Schizophrenia ； Green Space Structures ； Vegetation Index ； Lifetime Healthcare Costs ； National Health Insurance Research Database

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