11 ms·
Actual paper: https://annals.org/aim/fullarticle/2752328/unprocessed-red-meat-processed-meat-consumption-dietary-guideline-recommendations-from https://annals.o
by ChristianBundy 7y ago
Actual paper: https://annals.org/aim/fullarticle/2752328/unprocessed-red-meat-processed-meat-consumption-dietary-guideline-recommendations-from https://annals.org/aim/fullarticle/2752328/unprocessed-red-m...
Harvard response: https://www.hsph.harvard.edu/nutritionsource/2019/09/30/flawed-guidelines-red-processed-meat/ https://www.hsph.harvard.edu/nutritionsource/2019/09/30/flaw...
- koboll 7y agoThe first three grey Q&A boxes on the Harvard response are a pretty devastating rebuttal to the paper. To summarize: - 3 of the 5 meta-analyses reviewed support the consensus on red meat's health dangers - The other 2 are irrelevant and shouldn't have been considered at all - The paper handwaves away the conclusions of the 3 by raising reliability issues that could be applied to any meta-analysis of nutrition, since it's impossible to perform nutritional research as rigorously as drug research
- tomp 7y agoDon't all 3 of those conflate red and processed meat? Not very sciency...
- amanaplanacanal 7y agoThat's one of my personal pet peeves.
- TrinaryWorksToo 7y agoAnd there's a big difference too! We know nitrites aren't good for us, and can make meat red. But not all meat contains nitrites.
- scotty79 7y agoIsn't the most red meat consumed also processed? Don't know. Just asking. If so it would make sense to use it in research.
- tomp 7y agoMaybe? Probably most food consumed is processed... but the advice should then be, eat unprocessed food (salad, steak, fruit not fruit juice, ...) In addition, some ways of processing food are likely less harmful... e.g. pickling vegetables and drying meat (without using nitrites, such as certain traditional EU PDO meats like Prosciutto di Parma).
- scotty79 7y ago> but the advice should then be, eat unprocessed food I think it was not so much to give advice as to answer the question. Is that one thing that we are eating bad for us?
- gwern 7y ago> Among the five published systematic reviews, three meta-analyses basically confirmed previous findings on red meat and negative health effects. The sheer chutzpah of handwaving away the only paper that matters - the one meta-analyzing the randomized experiments - by counting a bunch of different confounded correlational approaches as each equal in value to it. Here is the only sentence you need to read: https://annals.org/aim/fullarticle/2752326/effect-lower-versus-higher-red-meat-intake-cardiometabolic-cancer-outcomes https://annals.org/aim/fullarticle/2752326/effect-lower-vers... 'Of 12 eligible trials, a single trial enrolling 48 835 women provided the most credible, though still low-certainty, evidence that diets lower in red meat may have little or no effect on all-cause mortality (hazard ratio [HR], 0.99 [95% CI, 0.95 to 1.03]'
- gyuserbti 7y agoExperiments have problems too. Let's say you successfuly blind people in a nutrition study (is this possible?). Randomized. How do you ensure they're following protocol? For how long? And who is adhering? How do you know you're manipulating what you think? Experiments introduce control at the expense of generalizability, and some types of experiments more so than others. Observational studies aren't perfect but they do have advantages, and in nutrition I wouldnt trust experiments more (maybe not less either to be fair). We have plenty of experiments in animals for example and those arent much more interpretable, at least in nutrition. Nothing is simple.
- gwern 7y ago> Let's say you successfuly blind people in a nutrition study (is this possible?) What blinding do you need for all-cause mortality? Do you think people are lying on the form where the coroner says they are dead? > How do you ensure they're following protocol? For how long? And who is adhering? How do you know you're manipulating what you think? Every single problem here is far, far, far worse for all those observational studies you cite. > Observational studies aren't perfect but they do have advantages Their only advantages are that they make it cheap and easy to get the wrong answer precisely and churn out lots of papers and meta-analyses. Fortunately, here we have the more expensive, hard, but correct results. Guess what the second set of results say? > We have plenty of experiments in animals for example and those arent much more interpretable, at least in nutrition. Indeed. Because most nutrition research, especially the ones based on correlational results, are wrong. That's why the randomized experiments aren't 'interpretable': because the theories are wrong. You will indeed have trouble "interpreting" the results which keep showing all the theories are wrong. This is a feature, not a bug.
- bpodgursky 7y agoThe Harvard response undercuts itself by bringing up "environmental sustainability" It isn't wrong, but it seriously calls into question whether the aim of the recommendation against red meat purely accurate nutrition science or a broader agenda.
- throw_xyzyz 7y agoDon't get why you are being downvoted. We need science to focus on the right questions. Otherwise it's ideology with a veneer of scientism on top of it.
- dahdum 7y agoThat was my first thought too. Unless they’ve done research on the future health impacts of climate change, including it weakens their argument.
- humble_engineer 7y agoIts absolutely ridiculous that people are down voting you. I'm not eating bugs.
- WomanCanCode 7y agoI think this is an important distinction. If something should be unhealthy for consumption then it has to be because of ingesting it and not because of how it will impact the market or environment.
- jeremyw 7y agoNote, all of these studies use a low standard of evidence (food questionnaires and the like), and they generate low signal (barely registering positive/negative). Read John Ioannidis @ Stanford for why these methods should banned, and why nutritional research currently produces mostly irrelevant data. Harvard, unfortunately, has doubled-down on this style of science. It's not helpful that the press supports these methods, without skeptical commentary.
- rmtech 7y agoGot a reference for ioannidis on this topic specifically?
- jeremyw 7y agoSure, start with these. Good references, too. Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How https://academic.oup.com/advances/article/9/4/367/5055939 https://academic.oup.com/advances/article/9/4/367/5055939 Implausible results in human nutrition research https://www.bmj.com/content/347/bmj.f6698 https://www.bmj.com/content/347/bmj.f6698 His most famous paper, Why Most Published Research Findings Are False https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124 https://journals.plos.org/plosmedicine/article?id=10.1371/jo... Here's a talk on nutrition science methods, along with a specific audience moment with Walter Willet, former head of Harvard Nutrition dept, and advocate for his questionnaires. https://www.youtube.com/watch?v=KTAbx4i8Dyg https://www.youtube.com/watch?v=KTAbx4i8Dyg -- https://youtu.be/KTAbx4i8Dyg?t=23m40s https://youtu.be/KTAbx4i8Dyg?t=23m40s
- o09rdk 7y agoAfter reading the BMJ piece I wondered if any study strategy would satisfy Ioannidis, to be honest. I came away from it feeling like his calls to eliminate observational studies and smaller randomized trials are misleading in that he seems to believe that all realistic studies should be eliminated. He seems to be in favor of large randomized-controlled comprehensive diet protocols, for example, where many aspects of diets are manipulated simultaneously. He dismisses them too, though, for very good reasons. Given that there were additional reasons to be skeptical of such studies he didn't mention, I was left wondering if his pleas for study designs should be heeded very much (as opposed to his criticism of specific flaws). I love his work, but am wondering if it's best approached as worst-case criticism rather than an inspiration for what to do.