9 ms·
No, that is not what it says. > In multi-variable adjusted (including BMI) So after correcting for BMI, meat consumption is still bad.
by autosharp 6y ago
No, that is not what it says.
> In multi-variable adjusted (including BMI)
So after correcting for BMI, meat consumption is still bad.
- tankenmate 6y agoNo, that is not what it said. The summary says "higher BMI accounted for a substantial proportion of these increased risks suggesting that residual confounding or mediation by adiposity might account for some of these remaining associations" That means that a substantial proportion of the increased risk is explained by a higher BMI. Unfortunately the summary doesn't say how much "substantial" is.
- deleted 6y ago[deleted]
- bigfudge 6y agoTo be specific, the regression models they use assume no measurement error in predictors. In this case BMI isn't even a direct measure of adiposity, so it's kind of obvious, but even if they had a direct measure of body fat the issue could remain because error in measurement of predictors would attenuate the ability of this covariate to eliminate confounding.
- jonnycomputer 6y agoAfter correcting for BMI, but BMI is an imperfect proxy for adiposity: "...residual confounding or mediation by adiposity might account for some of these remaining associations"