Some researchers have started to integrate time-varying models - for e.g., see https://www.ncbi.nlm.nih.gov/pubmed/26173857 This requires collecting dietary intake data at regular intervals, such as 4-6x over a year using self-administered recalls or records
-
-
-
Sure, and I think that's a very good idea, but I'm thinking more about the very large number of studies that use a single point for exposure and assume it's consistent over time - is that assumption reasonable? Has anyone looked into it?
- Show replies
New conversation -
-
-
Another challenge is harmonization of dif FFQs. For instance, if there are more response options people tend to eat more. Other issues incl dif portion sizes and recipes.. it can be challenging to interpret the changes. It isn’t something like NHANES you’re after,
@GidMK ? -
Nope, I'm looking for someone else's analysis
Doing it myself would be a big project!
End of conversation
New conversation -
-
-
This paper is not perfect and does not answer your question directly, but it describes the evolution of diet (F&V) over a 12 year period in a large French cohort study using FFQs. Overall it is rather stable over time but some specific subgroups aren't. https://pubmed.ncbi.nlm.nih.gov/29183405-socio-economic-factors-associated-with-an-increase-in-fruit-and-vegetable-consumption-a-12-year-study-in-women-from-the-e3n-epic-study/?from_term=Aurelie+affret&from_pos=10 …
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
NHS and HPFS use regular FFQs, so they assess dietary intake quite frequently (and make use of these data - although I don't know whether they update food composition data). Consistency probably depends on foods as well - coffee or tea is probably more long term than others.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.