Eine neue Studie, die 350 Millionen Street View-Bilder analysiert, kommt zu dem Ergebnis, dass städtische Baumkronen Herz-Kreislauf-Erkrankungen reduzieren können (-4 %), während Grasflächen sie verstärken können (+6 %).

https://health.ucdavis.edu/news/headlines/trees–not-grass-and-other-greenery–associated-with-lower-heart-disease-risk-in-cities/2026/01

5 Kommentare

  1. > A multi-institutional study led by the University of California, Davis, finds that living in urban areas with a higher percentage of visible trees is associated with a 4% decrease in cardiovascular disease. By comparison, living in urban areas with a higher percentage of grass was associated with a 6% increase in cardiovascular disease. Likewise, a higher rate of other types of green space, like bushes or shrubs, was associated with a 3% increase in cardiovascular disease

    >The new study was among the first to create a street-level assessment of how trees, grasses and other green spaces could impact cardiovascular health.
    >
    >The researchers used deep learning to analyze more than 350 million street view images to estimate how much of each neighborhood was covered by trees, grass, or other green space.
    >
    >They then linked those findings to nearly 89,000 women in the ongoing Nurses’ Health Study. They determined the type and percentage of greenery — trees, grass or other green space — within about 500 meters of each participant’s home address.
    >
    >They then compared the types and percentages of greenery with 18 years of health data — including medical records and death certificates — to determine which study participants developed cardiovascular disease.

    >The researchers found that higher percentages of visible trees were associated with a 4% lower incidence of cardiovascular disease. Street views with a higher percentage of visible grass were associated with a 6% increase in cardiovascular diseases, and other green space types were associated with a 3% increase.

    [Assessing greenspace and cardiovascular disease risk through deep learning analysis of street-view imagery in the US-based nationwide Nurses’ Health Study – Environmental Epidemiology](https://journals.lww.com/environepidem/fulltext/2026/02000/assessing_greenspace_and_cardiovascular_disease.11.aspx)

  2. VivekViswanathan on

    The effect seems to hold after controlling for socioeconomic status which is the first thing that came to mind.

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