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▲ nonethewiser 4 hours ago

I don't understand this. If you want to compare mental health issue rate, why not compare mental health directly? Instead of a related factor?

It's 26%women/19%men some mental health issue and 7%women/4%men serious mental health issue

https://www.nimh.nih.gov/health/statistics/mental-illness

▲malfist 4 hours ago | parent [-]

How do you measure mental health directly? Everything has a sampling bias

▲nonethewiser 4 hours ago | parent | next [-]

Meeting DSM-IV diagnostic criteria

▲dghlsakjg 3 hours ago | parent | next [-]

Great. How do you determine that men and women are seeking treatment at the same rate, and that diagnoses are being given out at the same rates for matching symptoms across genders?

It could just as much be the case that men are diagnosed at a lower rate because they seek out care less often (many studies point at this being true) or that men who do seek care are not diagnosed at as high of a rate despite having the same symptoms (men report higher rates of dissatisfaction with mental care, and other studies show gender bias in diagnosis - men get told to "man up" in so many words-, or men get misdiagnosed because symptoms for the same mental illness vary between men and women)

▲malfist 4 hours ago | parent | prev [-]

Sure. And how do you determine what percentage of a population fits that DSM-IV criteria?

▲kelseyfrog 4 hours ago | parent | prev [-]

You might be interested in operationalization. Every measurement is also an operationalization - even things like temperature, speed, and weight.

Eliding or obscuring the act of operationalization leads to reification - treating concepts like real tangible things. I wish reification was taken as seriously as our taboo of anthropomorphization. It happens way more, and sneakily smuggles in human values into the sciences. In some ways it's unavoidable, but being opaque about it and doing it without knowing is a sin.