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Study links GLP-1 drugs to bigger jump in women's employment than a degree

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Re: Study links GLP-1 drugs to bigger jump in women's employment than a degree

#191
post #84

Earlier quoted context omitted.

For me, historically drugs like this for ADHD or depression or gastric bypass or whatever tend to lose effectiveness over time as the body adjusts. Not for everyone but for enough where you've got a short term gain that ultimately compounds the original problem. Medication can be a slippery slope into side effects and rotating dosages/medicines. Especially for behavioral medicines.

ADHD medications do not lose effectiveness over time. That's magnesium deficiency.

> ADHD medications do not lose effectiveness over time.

I mean, they're mostly stimulants, which definitely lose effectiveness over time. It would be really weird if they didn't as that's basically how our bodies work in general.

Note: I have been prescribed said medication, but have not started taking them yet so I might be entirely wrong in the practicalities (and how would one disentangle the psychological impact of medication from the physiological impact?).

Re: Study links GLP-1 drugs to bigger jump in women's employment than a degree

#192
post #173

Earlier quoted context omitted.

One of my favorite examples of this is a transgender woman who worked at Subway (sandwich shop) and wrote about her experience on reddit. Someone posed a question on reddit that was something like "people who have transitioned, how did others treat you differently after the fact." I interpreted the question as how did friends and family react after knowing you previously as one gender and then another, but this trans…

>Before she transitioned, as a man she said she'd get lots of compliments and kudos from customers for basically just doing her job at Subway. As a woman, though, people were much more likely to complain and she was rarely complimented, and only if she went "above and beyond" her normal work duties. Highly relevant: Norah Vincent's https://en.wikipedia.org/wiki/Self-Made_Man_(book) > Vincent later committed suicide.…

> She found from writing the above book that being a man was so difficult that it caused a breakdown.

Where is your source on this? From reading the wiki article for both her and her book:

> Vincent stated that, after the experiment, she gained more sympathy for the male condition: "Men are suffering. They have different problems than women have, but they don't have it better. They need our sympathy, they need our love, and they need each other more than anything else. They need to be together."[2][3]

> Due to her experience as a man during the making of Self-Made Man she ultimately had a depressive breakdown, leading Vincent to admit herself to a locked psychiatric facility, stating it was the high price she paid for "the burden of deception" of a separate identity and for trying to hold two gender identities in her mind.[13][14]

> Vincent died via assisted suicide at a clinic in Switzerland on July 6, 2022, aged 53. Her death was reported in August 2022.[3]

That sounds very different from "being a man was so difficult that it caused a breakdown."

Re: Study links GLP-1 drugs to bigger jump in women's employment than a degree

#193
post #83

The original paper is quite readable and interesting in how the researcher works through a number of alternative hypotheses. https://www.nber.org/system/files/working_papers/w35387/w353... An tangential part of the paper is partnered men: Among baseline partnered men (which is where partnership dissolution is well-defined), I find a 6.8pp increase in men leaving their baseline partners (s.e. 2.9), which rises to 12.1…

Do you find this finding surprising? I do not.

I don't have a prior for this topic so yes, it is new information. The perhaps surprising part is the difference between men and women. The paper found that partnered men who take GLP-1 are more likely to exit partnership than women in a similar data context. I think a defendable no-priors null hypothesis would be that there is little to no difference. Here the data shows a difference.
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