Welcome to Hacking Your ADHD.

I'm your host, William Kerb, and I have ADHD.

On this podcast, I dig into the tools, tactics, and best practices to help you work with your ADHD brain.

And today I'm joined by Skywaterson for our research recap series.

In these episodes, we take a look at a single research paper and dive into what the paper says, how it was conducted, and try and find any practical takeaways. Today, we're going to be discussing a paper called Time After Time, Failure to Identify and Support Females with ADHD, a Swedish population register study. As this is a new series, we're going to be figuring out what works, what doesn't, and I'd love to hear what you all think of it. So, if you have thoughts, head on over to Hacking Your ADHD.com slash contact and let me know. I appreciate all the feedback I've already gotten, and we're definitely working on some of those things, trying to get things a little bit more organized, and definitely make this the best series that we can make it. New episodes of research recap will be coming out every other Friday.

All right.

Let's get on with the show.

All right.

Now, I'm excited about this one because it's something I've talked about on a number of shows now.

And it's nice to have actual data behind it.

Yeah, I'm excited about this one as well.

I love the Swedish population and their just happiness with sharing their symptoms and everything.

We get such good data out of these countries.

So, yeah, this is going to be probably one of the larger studies we ever talk about on this section.

So we had, how many people are involved in this one?

Yeah, so, so many people.

So basically what they did was they looked at 85,330 individuals with ADHD. They were all residents of Stockholm between 2011 and

2021. And they compared that. They were actually able to match populations, so kind of like age, gender,

that kind of thing, with the other residents of Stockholm.

So they went and ended up with approximately 24% of the entire Swedish population.

So they like really, this is a big study.

You know, people often say like, oh, well, the sample size is too small.

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