This study of long COVID in Norway has a nice design: PCR tests, long follow-up, large sample, and a plausible mechanism for identifying cases: a huge pre-existing panel survey using frequent mobile-device questionnaires. medrxiv.org/content/10.110…
My only real critique is that while they do have about 80,000 people in the sample, it's Norway, so they only managed to find about 800 COVID cases. lol. problems of low attack rate!
But, among those 800, they found that no single symptom of "long COVID" occurred among more than 22% of infected people. The most common symptoms among COVID+ people were loss of taste/smell and fatigue. Loss of taste was NOT correlated with other cognitive symptoms.
Overall, about 57% of COVID+ reported at least one new symptom in the post-acute period, whereas only about 21% of non-infected people reported such new symptoms. That said, most people reported just 1 or 2 of 22 different "long COVID" symptoms.
Also, worth noting this wasn't blind: people obviously know if they tested positive or not, so you can't rule out changes in self-perception.
Regardless, the interesting bit is on severity.
How common were "long COVID" symptoms among people with *mild* COVID cases? That's what we really want to know. And it turns out, "Moderate-to-severe" COVID cases had about 2-6 times as many "long COVID" symptoms. They lump moderate and severe due to sample size issues.
So take so take a common long-COVID symptom like chronic cough. About 2% of uninfected people developed such a cough. Among 3% of mild cases did so. But about 9% of moderate-to-severe cases did. So case severity drove long-COVID symptoms.
Or consider headaches. About 7% of the uninfected population reported developing headaches, vs. 9% of mild cases, vs. *19%* of severe cases.
Some conditions saw bigger gaps between uninfected and mild: brain fog went 4%, 9%, 18%. Fatigue went 4%, 10%, 27%.
So mild cases are associated with some increase in self-reported symptoms, with the biggest increases in harder-to-identify symptoms. Moreover, symptoms are not highly correlated with each other: people who got one symptom were not extremely likely to get others.
The authors go so far as to suggest this lack of symptom correlation calls into question the existence of "long COVID" as a single syndrome: rather, it seems to suggest that as case severity rises, some individual symptoms for some bad cases become recurrent.
But it's not a coherent post-viral syndrome. It's just that some people experience recurrences of specific symptoms for several months afterwards. But they're not likely to develop more symptoms or see increasing severity.
This is a nice study that to me shows pretty clearly that people with a positive test experience worse subjective health across several plausible symptoms for several months. Some-version-of Long COVID is real.
That said, it seems like this is mostly driven by severe cases, and even among severe cases it's a small minority who get any given symptom, and the vast majority of "long COVID" symptoms are mild discomforts which are common in the general population.
Which is to say, it doesn't seem like thre's any evidence of e.g. long COVID excess mortality or even disability. So this nudges my priors towards thinking long COVID is real, but also nudges them towards thinking it's not a big enough issue to factor into public health decisions
0.5% of adults getting a headache is not a high price to pay for keeping kids in school.
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To start with, this is not my first foray into Mongolia commentary. It's an amazing country I've tweeted about a lot because I'm lowkey obsessed with it. It's basically the Kentucky of Asia.
You can read some of my takes on the plight of Mongols in China here as well. The cultural commonality and difference between ethnic-Mongols in China and Mongolians is a fascinating divide without clear parallel anywhere in the world!
Statistics Canada is doing a pilot study of a mobile-device-based wellbeing-survey and they're recruiting respondents through the Very Scientific method of.... emailing everyone who's ever emailed their technical support desk.
Extremely strong selection there for "disgruntled data analysts" so that's gonna be a WILD pilot study.
I have of course signed up and downloaded the app and am PSYCHED to be a respondent in another survey.
I'm a longitudinal panelist in two surveys, I've gotten ACS AND CPS (!!), and I'm a standing panelist in multiple "big survey company" databases, and because I very reliably take the surveys, my personal traits are wildly overrepresented in studies of Americans.
When you have an option that is confusing respondents, there's a solution! Delete it! Force them to choose between the empirically meaningful options.
Also, the actual best way to survey religion is to ask people, "Think about the place you most often worship. What is its name?" and then to do a follow up, "Do you happen to know what religion this place of worship is associated with?" then give religion options.
There has been progress on racial justice, yes: but most of the progress occurred while religiosity was still very high and fairly stable. As religiosity has declined, progress on racial justice has clearly faltered, and we're now in a place were it's not even clear...
What anybody means by a phrase like "progress on racial justice." Without a shared pre-political moral landscape, statements like that are meaningless, and so unsurprisingly political discourse around them becomes irresolvable.
Quebec COVID update: Back when I projected this wave would just never generate the deaths and hospitalizations the government worried about, I made 3 scenarios for ICU cases. One assumed Case-->ICU ratios returned to historic wave ratios. One assumed they flatlined. One fell.
For January 8, the latest data, my low forecast suggested there would be 208 ICU cases. My mid forecast suggested 333 ICU cases. And the high forecast, the one the government is basically treating as "what is going to happen," was 795.
In reality, on January 8, there were 257 ICU cases: between my low and mid scenarios. So it continues to be the case that Quebec's wave is generating far fewer ICU cases per official positive case than prior waves.
What is the best empirical evidence that therapy actually improves mental health?
I am struggling to find anything credible.
This meta-analysis of 147 studies seems to suggest p-hacking is very common, publication bias is huge, and even with that the typical effect of therapy vs. care-as-usual is clinically insignificant. pubmed.ncbi.nlm.nih.gov/21770842/
This more recent one specifically on CBT for adult depression suggests that CBT has been wildly overrated by creative research practices. journals.sagepub.com/doi/abs/10.117…