Earlier research shows that green environments often have:
-less air pollution๐ญ
-less traffic and noise ๐
-less heat๐ฅ
-more birds, flowers, butterfliesโฆ ๐ฆ๐ป๐ฆ
and green areas may engage people to walk or interact.
All this may benefit health [2/n]
To measure how green an environment is, these earlier studies have often used "NDVI".
NDVI is an index derived from satellite images, that tells youโฆ how โgreenโ an area is [3/n]
NDVI is easy to obtain for large areas and with sufficient detail (high resolution) ๐
But a manicured football pitch ๐ and a forest ๐ณ may have the same level of greenness on NDVI maps
( ๐ข= ๐ข) [4/n]
But the species composition and structure of a football field (๐ฑ) and a forest (๐ณ) differ widely.
Therefore also the ecosystem services they provide (such as cooling the environment โ๏ธ) differ, and importantly, also the potential human health benefits will differ! [5/n]
Therefore, I set out to find other sources of information to determine the amount and quality of green space near the place where people live ๐ก๐ง
and then I linked this information to indicators of human health ๐ฉโโ๏ธ[6/n]
First I used CORINE land cover data.
This map has information on the size and distribution of 32 land cover classes in Belgium such as forest, arable land, pastures, etc. [7/n]
We then compared the amount of forest ๐ณin residential areas to sales of heart medication๐.
We found that:
-less heart medication was sold in greener environments
-the socio-economic background was a stronger predictor of health [8/n]
The problem with the CORINE map is that the map is not very detailed.
Parks and woodlands smaller than 0.5km x 0.5 km (almost all green areas in cities!) are not classified as green but are โlostโ in urban land cover.
โก๏ธWe needed something more detailed ๐ [9/n]
Thus enters the Green Map.
This detailed map of Flanders tells you, for every square meter, whether it is high green (>3m) ๐ฉ, low green ๐ข, agriculture ๐จ, or not green โฌ๏ธ [10/n]
We compared the amount of green near the house of tree pollen allergy patients with the levels of stress they experienced during the tree pollen season ๐คง
We found that:
-stress was lower when there was more green
-distress was higher when birch trees were present
[11/n]
The problem with the Green Map is that it the map is only available for Flanders, and I was looking for patterns across Belgium.
Thus enters another map: the topographic map of Belgium ๐บ๏ธ [12/n]
We compared the amount of different green space types to:
- sales of medication for asthma (for children) ๐ธ
- sales of medication for mood disorders such as depression and anxiety (for adults) ๐[13/n]
We found that there were fewer medication sales for mood disorders when there were more:
-forests ๐ณ
-low green areas ๐
-grasslands ๐ฑ
-gardens ๐ก
or in short, a better mood where there was less built-up area [14/n]
But we also found that there were more medication sales for asthma when there were more:
-grasslands ๐ฑ
-gardens ๐ก
(and we found no evidence for a beneficial effect of forests!) [15/n]
Thus, in this thesis, we showed that living in green areas is often good for health, but health effects:
-depend on the type of green
-may differ between specific groups (allergy patients, childrenโฆ)
And we should not solely rely on simple indicators of greenness! [16/n]
The way forward?
Even more detailed measurements of green space!
@dengkai_chi identified all trees in Brussels using laser sensor data ๐ฉ๏ธ
Together we showed that living near large trees results in lower medication sales for mood disorders and heart disease) @EHPonline [17/n]
And we looked inside private gardens too ๐ง
We found that gardeners were more active in gardens with higher biodiversity values ๐๐๐ชฒ๐ฆ, and this was then related to lower depression scores during the COVID-19 pandemic. [18/n]
โ๏ธThe residential green space and distress work was presented at the 2019 @ISEEORG conference in Utrecht, NL. The positive feedback on my Pecha Kucha presentation based on emojis triggered me to keep using emoji throughout my PhD and in all my publication graphical abstracts.
โข โข โข
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"The life of every child born today will be profoundly affected by climate change." - a thread on The Lancet 2019 report on impacts of climate change on human health
The world has observed a 1ยฐC temperature rise above pre-industrial levels. A child born /today/ will experience a world that is more than 4 degrees warmer than pre-industrial average.
Downward trends in global yield potential for major crops threaten food security, with infants often the worst affected by potentially permanent effects of *undernutrition*.