While previous studies have found a link between red meat consumption and type 2 diabetes risk, this study, which analyzed a large number of type 2 diabetes cases among participants being followed for an extended period of years, adds a greater level of certainty about the association.
Type 2 diabetes rates are increasing rapidly in the U.S. and worldwide. This is concerning not only because the disease is a serious burden, but it also is a major risk factor for cardiovascular and kidney disease, cancer, and dementia.
For this study, the researchers analyzed health data from 216,695 participants from the Nurses’ Health Study (NHS), NHS II, and Health Professionals Follow-up Study (HPFS). Diet was assessed with food frequency questionnaires every two to four years, for up to 36 years. During this time, more than 22,000 participants developed type 2 diabetes.
Key Research Outcomes
The researchers found that consumption of red meat, including processed and unprocessed red meat, was strongly associated with increased risk of type 2 diabetes. Participants who ate the most red meat had a 62% higher risk of developing type 2 diabetes compared to those who ate the least. Every additional daily serving of processed red meat was associated with a 46% greater risk of developing type 2 diabetes and every additional daily serving of unprocessed red meat was associated with a 24% greater risk.
The researchers also estimated the potential effects of substituting one daily serving of red meat for another protein source. They found that substituting a serving of nuts and legumes was associated with a 30% lower risk of type 2 diabetes, and substituting a serving of dairy products was associated with a 22% lower risk.
Correlation is not causation.
I guess we'll just add diabetes of all the pile of studies that point to meat being a carcinogen and major contributor to both heart disease and strokes.
Normally I agree with that line, but this is pretty far from a lone finding. When exactly does causation become an acceptable stance?
when someone tests the causation, ie. in an intervention study
This is exactly it. Unless there is a specific test of a mechanism, all they've found is that there is a correlation between the two. There could be other factors, e.g. behavioral, which increases the chances for both.