Also I can't seem to find total sleep time at SHHS2.
I look at the formula for RDI at all oxygen desaturations, which is (60 * ( hrembp + hrop + hnrbp + hnrop + carbp + carop + canbp + canop + oarbp + oarop + oanbp + oanop ) / slpprdp)
It looks like AHI at all oxygen desaturations to me?
If not, what's the difference, and how do I then calculate AHI at all oxygen desaturations?
Does anyone know what's the difference between 'total sleep time' (slptime) and "sleep time" (slpprdp) from the polysomnography measures?
I assume one is with (slptime) and the other is without (slpprdp) taking into account wake time whilst in bed?
Derived variables are fine, and I can see them in the current dataset.
But I can only find them in SHHS1 and SHH2, not at SHHS interim. I was wondering if you have access to that data?
Let me know if I'm not being clear.
According to the study website, there's data on medications at interim http://jhuccs1.us/shhs/details/manual/forms/default.htm
But I can't find this in shhs v.0.7.0 ?
That is great news!
Is there an update to this issue?
Thanks for this. I'll wait for the result of the meeting.
I understand. Thank you very much for your prompt response!
We are trying to assess the relationship between obesity and sleepiness. After creating a causal diagram, we know that we'll need to adjust for physical activity, and less importantly diet/shift-work status; to obtain an unbiased estimate of the association between obesity and sleepiness.
i haven't seen a publication on diet/occupation variables using the SHHS dataset but i have seen one with physical activity
Quan S,2007, Sleep breath, association of physical activity with sleep-disordered breathing.
Given that this data was already compiled for publication; would it be convenient to obtain this data from Prof.Quan?
Regarding the other variables (e.g. diet, occupation, income,etc); we do think they're worth exploring given the increasingly prominent link between lifestyle, work and sleep health. However, we do understand and agree that obtaining data this old from different parent cohorts can be very tricky and challenging!
Thank you very much for all your help