this post was submitted on 16 Mar 2024
298 points (86.0% liked)
Technology
60055 readers
3337 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Hard to believe this isn't simply due to improved detection, reporting and treatment options.
Gen X and boomers still go to the Dr and undergo depression screenings, yet Gen X has roughly half the rates of depression as gen z and millennials. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934502/
The key metric would be to review care detection and frequency at the same chronological age of participants, not simply today.
No, do not write leading statements like that, it's rude. Just ask me to clarify.
I'm saying there's.no point measuring millennial healthcare analytics vs older generations because millennials aren't older yet (obviously). So point in time analytics aren't valuable ( edit to my conversation, obviously they are useful) My point was to understand the health analytics of a cohort relative to care options, you must consider the same age band, no matter the year.
So like " describe mental health detection among 20-30 yo's across decade's of history"
It's a statement you are assuming I made, which I contested.