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Replying to @John_J_McGrath @jonatanpallesen and
Yep, so we can be sure there is genetic confounding in the cross sectional design, and also some C confounding.
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Replying to @KirkegaardEmil @John_J_McGrath and
In the study we controlled for confounding effects of socioeconomic factors, urbanization (pop. density), age and gender. We don't dismiss the effect of genetics and gene-environment interactions could be an interesting next step from this first exploratory study.
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Replying to @KristineEngeman @KirkegaardEmil and
It was great that you controlled for those things. Given the approach, it is hard to make a better paper. I will list some of my thoughts about potential confounding issues:
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Replying to @jonatanpallesen @KristineEngeman and
SZ has heritabiliy = ~0.8, and small shared environment effect. And would a large part of that remaining variability be explained exactly by green things. Seems a priori not so likely.
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Replying to @jonatanpallesen @KristineEngeman and
The studies of
@AmirSariaslan don't show evidence of environmental effects on mental disorders, in a neat sibling control design.1 reply 0 retweets 2 likes -
Replying to @jonatanpallesen @KristineEngeman and
Parents with more mental disorder genes may tend to live in areas with less green things, also after controlling for SES. That could explain the results.
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Replying to @jonatanpallesen @KristineEngeman and
And, of course, green stuff could merely correlate with other neighbourhood things that are the real causal factors.
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Replying to @jonatanpallesen @KristineEngeman and
Would seem that Amir study rules out any greenness to depression effect, but then big MZ above shows it just fine. Hmm.https://academic.oup.com/schizophreniabulletin/article/41/2/494/2526097 …
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Replying to @KirkegaardEmil @KristineEngeman and
He didn't look at greenness though, but urbanicity.
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He looked at neighborhood which controls for greenness automatically.
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