Two items have appeared the news lately that ought to change what most people think they know about diets and health – that is, if most people were aware of the news items.
I covered one of them in a recent post about the tipping point: several prominent organizations, including the Academy of Nutrition and Dietetics, have finally admitted that upon further review, cholesterol and saturated fat aren’t health hazards after all. We can’t underestimate that one. Given how entrenched the arterycloggingsaturatedfat! theory was, this is akin to officials in the North Korean government announcing that upon further review, communism doesn’t actually work.
Think about just how profoundly the fear of saturated fat and cholesterol has affected us over the decades. It’s why whole milk was banned from schools and replaced with sugar-laden skim milk. It’s why when you go shopping for yogurt, almost every container is labeled nonfat or low-fat. It’s why doctors and nutritionists wanted to put everyone on a low-fat diet. It’s why Weight Watchers started peddling those ridiculous Smart Ones (one gram of fat) meals. It’s why so many restaurants feature a “heart healthy” section of low-fat foods. It’s why restaurant foods are fried in those lousy vegetable oils. It’s why hospitals feed low-fat carbage to patients, including diabetics.
I could go on and on, but I won’t. The point is, fear of arterycloggingsaturatedfat! has underpinned millions of bad decisions over the decades by everyone from food manufacturers to frustrated dieters. Let’s cross our fingers and hope those days are finally coming to end.
Of course, we haven’t just been warned away from fatty foods over the years. Nope, we’ve been warned that all kinds of foods will kills us – red meat, to name an obvious example. And we’ve been assured that some foods will save us – whole grains, to name an obvious example. Most of those warnings and assurances have been based on observational studies. This or that is linked to such-and-such, blah-blah-blah.
I’ve been yammering on about how unreliable those studies are ever since I started blogging six years ago. It’s bad enough that researchers want to draw conclusions from mere correlations. But even the correlations are suspect, because (as I’ve pointed out several times), the data is based on food-recall surveys that simply aren’t reliable. I’ve known that for decades, because when I worked at a magazine, we all had to fill out a food-recall survey for some kind of health evaluation, and it was a joke. We just made stuff up to be done with it.
Now a paper published in the Mayo Clinic Proceedings says the same thing. Here’s part of the abstract:
We assert that uncritical faith in the validity and value of M-BMs [memory-based dietary assessments] has wasted substantial resources and constitutes the greatest impediment to scientific progress in obesity and nutrition research. Herein, we present evidence that M-BMs are fundamentally and fatally flawed owing to well-established scientific facts and analytic truths. First, the assumption that human memory can provide accurate or precise reproductions of past ingestive behavior is indisputably false. Second, M-BMs require participants to submit to protocols that mimic procedures known to induce false recall. Third, the subjective (ie, not publicly accessible) mental phenomena (ie, memories) from which M-BM data are derived cannot be independently observed, quantified, or falsified; as such, these data are pseudoscientific and inadmissible in scientific research.
Pow. Zing. Whamo. The researchers are calling B.S. on M-BMs. But wait, it gets better: they’re also calling B.S. on perhaps the most influential organization to make use of (ahem) “studies” based M-BMs. Here’s how an article in Reason Magazine online describes what the researchers have to say:
A new article by University of Alabama-Birmingham researcher Edward Archer and colleagues Gregory Pavela and Carl Lavie, published this week in the Mayo Clinic Proceedings, argues that the conclusions drawn by the federal government’s controversial Dietary Guidelines Advisory Committee (DGAC) rest on fatally flawed assumptions about unusable data. Consequently, the authors conclude that the DGAC’s work—and the research used to support that work—is so off base as to be scientifically useless.
Pow. Zing. Whamo. Take that, USDA.
The Reason article includes an interview with researcher Edward Archer. Here’s some of what he had to say:
“My coauthors and I wrote this article because for over 50 years, government-funded researchers have been presenting anecdotal evidence as science. Given that these data constitute a majority of the evidence base for the federal nutrition guidelines, we think the greatest problem in nutrition and obesity research is not ignorance; it is the illusion of knowledge created by pseudoscientific methods.”
“My previous work demonstrated that 60-80 percent of the dietary data from the NHANES is physiologically implausible. That is a scientific way of saying that people could not survive on the amount of foods and beverages they report.”
“It defies scientific and common sense to think that anyone can accurately remember and will honestly report the exact amount and specific type of foods and beverages they consumed yesterday, much less last week or last year.”
“The confluence of self-interest, institutional inertia, and scientific incompetence has led us to where we are today. The federal government has massively increased spending on nutrition and obesity research over the past few decades, and now spends over $2 billion of taxpayer’s money per year. Unfortunately, the people that control that funding are the same researchers that use these anecdotal methods, train the next generation of researchers, and control the publication of scientific papers. The same researchers are getting funded to do the same research year after year after year. This inertia and self-interest are exacerbated by the exorbitant amount of grant funding established researchers receive. As with many things in life, follow the money.”
Follow the money … I should use that line someday.
“The government funded researchers control the field by funding only those researchers that use the same flawed methods; they stifle progress by rejecting contradictory evidence, and immediately impugn the integrity and competence of researcher who disagree.”
It doesn’t surprise me in the least that government-funded researchers stifle research and reject contradictory evidence. But let’s set all that aside and focus on the main point: food-recall surveys are a complete joke. I don’t care how much fancy-pants statistical analysis you perform, if the data going in is garbage, then garbage is what comes out the other end.
So once again, think about how many This Food Linked To That Disease articles you’ve seen in the media over the decades. You’ve probably had well-meaning friends and family members shove them in your face while you’re busy trying to dunk a piece of bacon in an egg yolk. I’ve lost count of how many people have told me they don’t eat red meat because they had a near-relative die of colon cancer, and well, you know, red meat is linked to colon cancer. It’s been in the news and everything.
Saturated fat and cholesterol aren’t health hazards, and pretty much every This Food Linked To That study ever published is a joke.
Those two things ought to change everything.
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Pop quiz: what’s the difference between the two x-y graphs below?
The answer is that they’re same graph — but the first picture above, we’ve zoomed in on one side of the bell curve.
In the book How Not To Be Wrong: A Guide To Mathematical Thinking, author Jordan Ellenberg points out that if you focus on a small part of a curve, it looks rather a lot like a line. Human like lines because they’re easy to understand. Plot some data and draw a line, and you have visual evidence that more of this produces more of that, or that more of this results in less of that. If the x-axis represents a span of time, you can even predict what the data will look like years from now by extending the line into the future.
The trouble is, real life tends to be more curved and less tidy than our beloved trendlines would have us believe. Two variables that were happily holding hands and running uphill together on our chart can suddenly break up and go their separate ways. So the trendline flattens out or reverses direction completely. That’s often how real life is, and if we don’t want to be wrong (as the title of the book says), we shouldn’t assume that a trendline heading in a particular direction will continue in that direction forever.
For example, you’ve probably seen headlines announcing that by the year 2040, everyone in America will be obese. Yup, every single person. Those predictions are based on charts that look something like this:
Researchers take a 25-year trendline that runs from 1990 to 2015 and simply extend it another 25 years. That is, of course, a wee bit ridiculous. Some decent-sized fraction of the population is highly resistant to becoming fat. Even if the Standard American Diet doesn’t undergo a positive shift (which I think it already is), the likely scenario is that when the actual data is plotted in 2040, it will look something like this:
Trendlines can flatten out. It happens all the time. It’s what we see when the law of diminishing returns kicks in. If I’ve been lifting weights once per month and switch to twice per month, I’ll likely become stronger. Kick it up to once per week and I’ll probably become stronger again. But at some point, more frequent workouts won’t make me stronger. There’s a limit to how quickly a body can produce new, stronger muscle cells.
Trendlines can also rise and then fall, producing a bell curve. More of this means more of that up to a point, but then even more of this leads to less of that. Interestingly (at least for those of us who enjoy reading about economics), Ellenberg introduces the concept by writing about taxes and the revenues they produce.
I’ve had debates with big-government-lovin’ acquaintances who are convinced there’s no national problem we couldn’t solve if we just had the political courage to seriously jack up taxes – especially on those darned rich people. In their minds, the relationship between tax rates and tax revenues looks like this:
Higher tax rates always produce higher revenues and therefore more government goodies for all – no matter how high the rates go.
But that’s not how it works in real life. Ellenberg doesn’t argue in favor of any particular tax rate, but he points out what any sane economist knows: at some point, higher tax rates produce less revenue, not more, because (among other reasons):
- People have less disposable income to buy goods and services, which means fewer people will be employed to provide them.
- More people decide to participate in the underground economy to avoid high taxes.
- Fewer people can save the capital to start a new business.
- People who already have the capital to start a new business decide they won’t bother if they’re taking all the risks but Uncle Sam is going to take most of the reward.
- People in the highest income brackets often quit working for the year once any additional income they earn is taxed at a rate they find unacceptable.
So the relationship between tax rates and tax revenues is a bell curve:
Again, Ellenberg doesn’t advocate for a particular tax rate. He simply points out that in any given set of economic circumstances, there’s going to be a rate far greater than 0% and far less than 100% that produces the most revenue. If we only focus on the left side of the curve, we’ll end up believing that higher rates always produce more revenue. If we only focus on the right side of the curve, we’ll end up believing that lower rates always produce more revenue. Both beliefs are wrong – and of course, the title of the book is How Not To Be Wrong.
One way to avoid being wrong is to understand that in real life, the relationship between this-and-that often takes the form of a bell curve. Starting from a low level, more of something may be good … but that doesn’t necessarily mean a LOT more is better. Starting at a high level, less of something might also be good … but that doesn’t mean zero is better.
We see the bell-curve relationship all the time in the health sciences. How much vitamin D should you get? The answer would surely look something like this:
Starting from a low level, more is better. But that doesn’t necessarily mean a LOT more is better. At some point, a LOT more is toxic.
How much protein should you eat? We know too little is bad for your health. You’ll lose muscle mass and your immune system will weaken. But too much can cause diarrhea and dehydration. So the relationship between protein and health is a bell curve.
But my bell curve probably doesn’t peak at the same point yours does. And a muscular athlete who engages in heavy workouts would need protein than I do. So the relationship between protein and health may look something like this:
Not every relationship in health is a bell curve, of course. If we’re talking about rat poison and health, the relationship probably looks like this:
Less is better, period. Sometimes that’s the reality. Chareva’s mother is highly allergic to walnuts. So for her at least, the walnut-to-health relationship would look very much like the rat poison-to-health relationship above.
But getting back to the How Not To Be Wrong theme, here’s a graphic representation of a belief I once held, but now consider wrong:
Metabolic health is the highest at close to zero carbs, then goes down from there. I believed that because I went from a high-carb diet to a low-carb diet, and my health dramatically improved. So for awhile, I figured if low is good, close to zero must be even better. It may be true for some people, but it’s clearly not true for everyone.
On the low-carb cruise, I was pleased to hear Dr. Justin Marchiagiani respond to a question about ketogenic diets by saying he doesn’t recommend them for everyone. He works with each patient to find his or her ideal carbohydrate intake, which will depend on a number of factors. For some, it’s 50 grams per day or less; others feel better and lose weight more easily at 100 grams per day or more. He said he feels at his best at between 75 and 100 grams per day. That’s about where I am now as well.
There is no level of carb intake that’s ideal for everyone. So the relationship between carbs and metabolic health looks something like this:
If we only focus on the right side of the curve, we’ll end up believing that more carbs always means worse metabolic health, so the ideal level of carb intake is close to zero.
But that ignores the left side of the curve. And that’s an easy way to be wrong.
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My college physics professor once gave a lecture to a humanities class on the need for scientific literacy. At one point, he told us, “No matter what field you plan to go into, learn math. Math is how you know when you’re being lied to.”
I recently finished a book that makes the same point. How Not To Be Wrong: The Power of Mathematical Thinking was written by a math professor named Jordan Ellenberg who does a nice job of explaining mathematical concepts without causing the reader’s eyes to glaze over.
I liked the book, but before you run out and buy a copy, I should mention that much of the material it covers seems unrelated to the title. Yes, it’s interesting to learn how some MIT students crunched numbers and devised a plan to guarantee themselves payouts from the Massachusetts lottery under certain conditions, but the chapter won’t teach you how not to be wrong … unless you’re designing a lottery, that is.
That being said, there are several sections that are relevant for people interested in the health sciences. Rather than write one very long post about those sections, I figured I’d cover one or two topics in a short series of posts. So let’s start with a topic near and dear to my heart …
As I mentioned in my Science For Smart People speech, when most people say an event or a fact is significant, they mean it’s important or meaningful. But in the world of scientific studies, significant simply means that based on tried and true statistical formulas, the result is not likely due to chance. It’s important not to confuse the two meanings.
In science, significance is expressed as a p-value, which Ellenberg explains in the book. If the p-value is .10, there’s a 10% chance the results were due to chance. For the results of a study to be called statistically significant, the p-value must be .05 or smaller. But again, significant doesn’t necessarily mean important.
Given a large enough sample size and enough data to crunch, scientists could say, for example, that cigar smokers have a higher rate of mouth cancer and that the difference is significant. But if the “significant” difference is one additional case of mouth cancer for every 250,000 people, most of us wouldn’t consider that meaningful or important. The actual odds of developing mouth cancer have barely changed at all.
Ellenberg makes the same point about the meaning of significant, then tags on some additional warnings for readers who don’t want to be bamboozled by media reports on the latest something-will-kill-you or something-will-save-you study. One of those warnings falls into the scientists are freakin’ liars category:
And all this assumes the scientists in question are playing fair. But that doesn’t always happen…. If you run your analysis and get a p-value of .06, you’re supposed to conclude that your results are statistically insignificant. But it takes a lot of mental strength to stuff years of work in the file drawer. After all, don’t the numbers for that one subject look a little screwy? Probably an outlier, maybe try deleting that line of the spreadsheet. Did we control for age? Did we control for the weather? Did we control for age and the weather? Give yourself license to tweak and shade the statistical tests you carry out on your results, and you can often get that .06 down to a .04.
Now imagine the numbers you’re crunching are for what was supposed to be a breakthrough drug and there are millions of dollars at stake. You get the idea.
But here’s what I consider the most important (and significant) point Ellenberg makes in the chapter: If the p-value is .05, that means the odds are only 1-in-20 that those impressive results were due to chance, right? Right … which means given enough chances, I could end up with impressive results that are significant, but still due solely to chance.
Ellenberg asks us to imagine 20 scientists running independent experiments to determine if eating a particular color of jelly bean causes outbreaks of acne. In 19 of the experiments, the color of the jelly beans consumed makes no difference. But in one of the 20 experiments, the subjects who ate green jelly beans had more outbreaks of acne – and those results are significant, because the statistical odds of them being due to chance are just 5%.
The 19 scientists who found no difference grumble, light a cigar, toss back a scotch, stuff their papers in their desk drawers, and go write their next grant proposal. The one scientist who found a significant difference proudly publishes his results … and a day later, there are media headlines trumpeting the now-established “fact” that green jelly beans cause acne.
The significant result was due to chance. But as Ellenberg points out, given enough chances, chance happens. That’s why the significant results of many studies don’t hold up and can’t be replicated.
So (and this is me talking, not Ellenberg) … now let’s think about how science is conducted for Big Pharma. Drug companies aren’t required to publish all their results, so they don’t. They aren’t required to share the raw data with other scientists, so they don’t. A good friend of mine has a brother who worked in Big Pharma and admitted to my friend, “We just keep running studies until we get the results we want.”
Given enough chances, chance happens. And if that p-value of .06 is the best we could get after multiple chances, well, perhaps a little tweaking here and there …
That’s why I don’t trust the results of studies funded by drug companies. Ellenberg doesn’t come out and say as much directly, but he does mention that industry-funded studies often can’t be successfully replicated.
Math is how you know – or at least have reason to suspect – you’re being lied to.
More mathematical-thinking examples from the book in future posts.
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A couple of podcasters who interviewed me recently asked if I believe we’re at a tipping point. I do. I’m seeing a major shift in what the public at large considers a healthy diet, thanks largely to the Wisdom of Crowds effect. It seems that more and more people are rejecting the decades-old anti-fat message and embracing real food – fat and all.
I’ve sometimes wondered if I’m just experiencing the Red Toyota Effect, which works like this: While shopping for a car, you make up your mind that you want a red Toyota … and soon after, you start noticing them all over the place, which leads you to think, “Holy moly! Everyone’s buying red Toyotas all of a sudden!” In fact, the red Toyotas were always there. You’re just noticing them now because owning a red Toyota is on your mind.
Sure, I’ve got diet on my mind. I write about diet, I think often about diet, I hang out in social media sites where the subject is diet. But I don’t believe I’m experiencing the Red Toyota Effect. I think there’s a real shift happening out there.
For starters, I keep seeing more mainstream media articles declaring that – surprise! — saturated fat doesn’t cause heart disease after all. Here are some quotes from an article in the U.K. Telegraph with the headline No link found between saturated fat and heart disease:
For the health conscious reader who has been stoically swapping butter for margarine for years the next sentence could leave a bad taste in the mouth.
Scientists have discovered that saturated fat does not cause heart disease while so-called ‘healthy’ polyunsaturated fats do not prevent cardiovascular problems.
In contrast with decades old nutritional advice, researchers at Cambridge University have found that giving up fatty meat, cream or butter is unlikely to improve health.
They are calling for guidelines to be changed to reflect a growing body of evidence suggesting there is no overall association between saturated fat consumption and heart disease.
Earlier this month Dr James DiNicolantonio of Ithica College, New York, called for a new public health campaign to admit ‘we got it wrong.’ He claims carbohydrates and sugar are more responsible.
Admit we got it wrong …. Yeah, that would be awesome. Despite my optimism about a big shift within the public at large, I don’t expect a We Got It All Wrong announcement from the USDA anytime soon. They are, however, slooooowly backing away from some of the advice they’ve been handing down for the past 35 years. Here are some quotes from a Forbes article titled Fat Is Back: Time To Stop Limiting Dietary Fats, Experts Say:
The latest version of the Dietary Guidelines for Americans – the government-sanctioned recommendations about what we should and shouldn’t eat – will include a game-changing edit: There’s no longer going to be a recommended upper limit on total fat intake. This hasn’t gotten as much press as the other big change – that cholesterol will no longer be considered a “nutrient of concern,” meaning that we can now eat eggs without feeling guilty.
But as the authors of a new paper in the Journal of the American Medical Association point out, the true game-changer in the new recommendations is that we won’t have to worry so much about the total fat content of our food. And this makes a lot of sense, since in many ways, fats are much better for us than what they’ve typically been replaced with in low-fat diets – refined carbs and added sugars.
For people who lived through the low-fat/no-fat craze that started in the 80s, this is big news. The change in fats recommendations has been coming for some time now, as studies have consistently shown that low-fat diets are in no way the beacon they once seemed to be, and can in fact be quite unhealthy over the long-term.
The USDA (ahem) “experts” are willing to admit that cholesterol is no longer a “nutrient of concern,” but can’t quite bring themselves to say saturated fat is okay. However – and this is huge, since so many people get their dietary advice from registered dieticians – the Academy of Nutrition and Dietetics has already jumped ahead of the USDA. The organization’s official commentary on the latest USDA guidelines first praises the USDA for its efforts, then disputes much of what the USDA has to say.
Dr. Stan De Loach (who has been recommending a high-fat, real-food diet to patients in Mexico for years) summarized the points made by the Academy of Nutrition and Dietetics:
1. Cholesterol contained in food items is NO LONGER a nutrient of interest or concern. That is, limiting cholesterol (egg yolks, for example) in the food plan makes no sense because there is no trustworthy scientific evidence that it may produce negative or harmful effects on the human body or cardiovascular system.
2. NO scientific consensus or concrete scientific evidence exists that could justify the recommendation that the quantity of dietary salt (sodium) be limited. This long-standing recommendation to not consume salt freely has been overturned. Moreover, the Report mentions that probably and certainly “there are persons who are NOT consuming a SUFFICIENT amount of sodium.”
3. “Not a single study included in this revision of the dietary recommendations meant to prevent cardiovascular disease was able to identify saturated fat as an element in the diet that has an unfavorable or adverse association to cardiovascular disease.” The experts recommend de-emphasizing saturated fat as a nutrient of interest or concern.
4. The lipid/lipoproteins LDL and HDL are NOT appropriate nor adequate for use as markers of the impact of diet on the risks of cardiovascular disease, for example, in the scientific studies that attempt to measure diet’s impact on the risks for cardiovascular disease.
5. “The consumption of carbohydrates carries a GREATER risk for cardiovascular disease than that of saturated fats.”
6. “It is likely that the impact of carbohydrate consumption on the risks for cardiovascular diseases is positive (that is, their consumption INCREASES the risks).”
7. “Therefore, it seems to us that the scientific evidence summarized and synthesized by the Committee suggests that the most effective simplified recommendation to reduce the incidence of cardiac disease would be a simple reduction in the consumption of carbohydrates, replacing them with polyunsaturated fats.” Polyunsaturated fats tend to reduce the levels of cholesterol in the blood. Avocados, fish (tuna, trout, herring, salmon), some varieties of nuts (peanuts, walnuts, sunflower seeds, sesame), some mayonnaises, some salad dressings, olive oil, etc., contain polyunsaturated fats.
8. “The strongest scientific evidence indicates that a reduction in the consumption of added sugars (carbohydrates) will improve the health of the American public.”
Okay, ya can’t win ‘em all, at least not right away. The dieticians want carbs replaced with polyunsaturated fats. But this is still huge. Look at the basic message: Stop worrying about cholesterol, saturated fat and salt. Start focusing on reducing sugars and refined carbohydrates. If this keeps up, people will soon believe you can eat food that tastes good and still be healthy. Dr. Ornish must be terrified.
It isn’t just that people are no longer accusing saturated fat of a crime it didn’t commit, either. There’s also been a huge rise in the demand for quality food, food that hasn’t been processed into nutritional oblivion. Food manufacturers are wondering what the bleep happened and trying to adjust, as this article in Fortune magazine online explains:
Try this simple test. Say the following out loud: Artificial colors and flavors. Pesticides. Preservatives. High-fructose corn syrup. Growth hormones. Antibiotics. Gluten. Genetically modified organisms.
If any one of these terms raised a hair on the back of your neck, left a sour taste in your mouth, or made your lips purse with disdain, you are part of Big Food’s multibillion-dollar problem. In fact, you may even belong to a growing consumer class that has some of the world’s biggest and best-known companies scrambling to change their businesses.
“Their existence is being challenged,” says Edward Jones analyst Jack Russo of the major packaged-food companies. In some ways it’s a strange turn of events. The idea of “processing”—from ancient techniques of salting and curing to the modern arsenal of artificial preservatives—arose to make sure the food we ate didn’t make us sick. Today many fear that it’s the processed food itself that’s making us unhealthy.
It’s pretty simple what people want now: simplicity. Which translates, most of the time, to less: less of the ingredients they can’t actually picture in their head.
Steve Hughes, a former ConAgra executive who co-founded and now runs natural food company Boulder Brands, believes so much change is afoot that we won’t recognize the typical grocery store in five years. “I’ve been doing this for 37 years,” he says, “and this is the most dynamic, disruptive, and transformational time that I’ve seen in my career.”
So it’s definitely not the Red Toyota Effect. This change is real, and it’s coming to a Kroger near you. In fact, I recently found – for the first time ever – dry-roasted almonds in a Kroger where the only ingredients were almonds and salt. A sign above that section of the store bragged about the lack of additives in the several varieties of nuts, which you can buy in bulk.
As the Fortune magazine article explains:
Shoppers are still shopping, but they’re often turning to brands they believe can give them less of the ingredients they don’t want—and for the first time, they can find them in their local Safeway, Wegmans, or Wal-Mart. Kroger’s Simple Truth line of natural food grew to an astonishing $1.2 billion in annual sales in just two years.
The search for authenticity has led organic food sales to more than triple over the past decade and increase 11% last year alone to $35.9 billion, according to the Organic Trade Association. Data provider Spins found that sales of natural products across nearly every category are growing in mainstream retailers, while more than half of their conventional counterparts are in decline.
Perhaps more frightening for Big Food, shoppers are doing something else as well: They’re skipping the middle aisles altogether.
The war on fat is ending, with fat emerging as the victor. Cholesterol is no longer a “nutrient of concern.” The low-salt nonsense is being abandoned by doctors, nutritionists and even the CDC. Consumers are avoiding foods with ingredients they can’t pronounce, and Big Food is both scared and scrambling to adjust.
Yes, we’re at a tipping point. Let’s hope the nation tips right over into better health.
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During the low-carb cruise, I interviewed Dr. Ann Childers about how diet affects mood and mental health. She’s a psychiatrist who works with children and has seen a real-food diet work wonders, so I wanted to get her on camera for the upcoming book and DVD companion. One clip I can pretty much guarantee will end up in the DVD is her describing when a teacher called to ask what new wonder drug she’d prescribed to a student previously diagnosed with behavior problems.
“Bacon and eggs,” Dr. Childers answered.
“Yes, but WHAT ELSE?” demanded the teacher.
Dr. Childers also mentioned something Dr. Weston A. Price observed during his travels around the world: people eating their traditional diets weren’t just physically healthier; they were mentally healthier too. Dr. Price noted many times how cheerful and optimistic these people were, and how quickly they rebounded from life’s setbacks.
I thought about that during our return trip home from the cruise, because it was the kind of day that could easily have produced a case of acute crankipantus extremitus in kids, but didn’t in ours.
We booked the cruise closer to the deadline than we should have. When we searched for return flights on Orbitz, our options were 1) a long day of travel or 2) an extra $200 per person for a short day of travel. We elected to save the $800 and endure the long day.
How long? Well, let’s see … we left the ship around 9:00 AM and were sitting inside the Ft. Lauderdale airport shortly after 10:00 AM. Our flight didn’t leave until 3:45 PM — and that flight was to Detroit to change planes. Three hours on that flight, then a three-hour-plus layover in the Detroit airport, then an hour-and-a-half flight to Nashville. Then wait for the luggage. Then catch a shuttle to long-term parking. Then make a half-hour drive to Franklin. By the time we walked into our house, we’d been traveling for 16 hours.
And here’s what surprised me, although perhaps it shouldn’t have: the girls never got into a funk or whined about anything. They made a wisecrack or two, asking me if I couldn’t have found a longer and more roundabout way to get home, but they were laughing about it, not whining. (I told them I’d signed us up for the scenic route.)
They read, they played games on their Kindles, they commented on the view outside the airplane’s windows, they watched some of the in-flight TV offerings, they talked to us and to each other. They laughed many times throughout the long day. When the shuttle bus let us out in the long-term parking lot at the Nashville airport, Sara broke into a little musical ditty she’d written to memorize our row number. They were still cheerful when we finally pulled into our driveway.
They’re the daughters of two people who don’t much like whiners, so sure, heredity and upbringing both figure into how they handled themselves. But I believe diet figured into it as well. The long trip home was after a week of eating quality (mostly) food. During the cruise, they had bacon, sausage, fruit and eggs for breakfast – no pancakes, cereal, waffles or glasses of juice. Lots of meats, seafood and vegetables for lunches and dinners. They even ordered escargots in garlic butter several times for an appetizer.
Other than the couple of times we let them have sugar-free cookies as an indulgence, they were eating make-your-brain-happy foods all week. During our three-hour layover in the Detroit airport, we had dinner at a Texas Longhorn steakhouse. Then we sat for another two hours, waiting to board the plane to Nashville – again, with nobody complaining or getting cranky.
Now for the flipside …
Sunday was, as I’m sure you’re aware, Father’s Day. On Saturday, I went out in the 90-plus heat and high humidity and spent four hours mowing the back pastures. I was so soaked with perspiration, during one of my cooling-off breaks, Alana asked if I’d dumped a bucket of water over my head.
Hard work? Yup, especially in that heat. But after a shower and a change of clothes, I was re-energized and ready to go walk a few miles around the nearby Westhaven neighborhood, which sponsors an annual music festival called Porch Fest. (The bands play on porches. Nearly every house in Westhaven has a big front porch.)
Afterwards, we walked back to the Mexican restaurant in Westhaven for our Saturday dinner. That’s my “carb nite” meal most weeks. I eat the rice and beans that come with my fajitas, plus a few corn chips. It’s high-carb, but no wheat. I wake up Sunday mornings feeling no ill effects.
Yesterday morning was no exception. When Chareva asked what I wanted to do for Father’s Day, I replied that I wanted us to clean out the garage, sweep, and put away all the tools we’d let pile up during our big Spring Project. (Isn’t that every dad’s dream on Father’s Day?) So we did. It was 90-something and humid again, but my energy level was good.
After I showered and the girls gave me their home-made Father’s Day cards, I decided it was enough of a special occasion to head out for an indulgence meal. I put it up for a vote, and the consensus was that we’d go to Mellow Mushroom in downtown Franklin for pizzas. I haven’t had pizza since my birthday in November and probably won’t again until my next birthday, so I thought it was a fine idea.
As I often say, if you’re going to eat something you know is bad for you, at least choose a meal that’s worth it. The pizzas at Mellow Mushroom are excellent, and therefore worth it — assuming we’re talking about a very occasional indulgence, that is.
I was reminded today why I only eat wheat a couple of times per year. I slept nearly nine hours last night, but I’ve been low-energy all day. I don’t feel depressed – that would be stretching it – but I can safely call it a case of the blahs. I drank three big mugs of coffee over the course of the morning but never felt totally awake.
Often after dinner, I run out to play a quick 18 holes of disc golf as the sun dips behind the tall trees across the highway from our property. Today the idea didn’t appeal to me. Nothing requiring energy or exertion appealed to me. If anything, I felt like taking an afternoon nap, although I didn’t because I had programming work to do.
In a previous post, I described how I considered myself a low-energy person back in my college days. I was also a regular wheat-eater in college. I felt today like I felt back then. Not exactly bad, but not good either. I certainly wouldn’t describe my mood today as optimistic, and if you’d told me to go push a lawnmower up and down a steep pasture for several hours in the heat and humidity, I can promise the reply wouldn’t have been cheerful.
The difference between today and my college days is that today’s low-energy feeling is temporary. I know the cause and the cure.
Good food, good mood. Not-so-good food, not-so-good mood.
Food equals mood.
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Like most people, I’ve long assumed whiskey can have a negative impact on memory. The first time I drank whiskey (as a teenager, I’m sorry to say), my only memory after the fourth or fifth shot was of a glowing star dancing in front of my face. I later realized, while helping my drinking buddy clean the room where we drank the whiskey, that the dancing star was the burning end of a cigarette. Neither of us remembered smoking the cigarettes, but we sure cleaned up quite a few of them.
My belief that whiskey affects memory was strengthened during my college years. My roommate and I mostly drank beer at parties, but occasionally indulged in Jack Daniel’s. The Jack Daniel’s nights sometimes led to a series of next-day phone calls intended to ascertain, say, why my car was parked in the middle of a courtyard, and why some guy I didn’t recognize was snoring in the back seat.
So yeah, I just always figured whiskey is bad for memory, at least in the short term.
Well, I should know better than to form medical opinions based on anecdotal evidence. Turns out whiskey doesn’t affect memory. I know this because I recently conducted a careful study comparing the effects of gin and whiskey on memory, and there was no statistically significant difference. That means we don’t need to be concerned with whiskey’s effect on the brain. I could even write a news article with the headline:
STUDY QUESTIONS WHISKEY, MEMORY LOSS CONNECTION
What, you say that’s a ridiculous conclusion? Well, of course it is. But it’s no more ridiculous than the conclusions from a study that generated this headline:
STUDY QUESTIONS STATIN, MEMORY LOSS CONNECTION
Beginning treatment with a statin was associated with a nearly fourfold increased risk of developing acute memory loss within 30 days in a retrospective cohort study …
Yeah, so that would lead me to conclude statins are bad for memory.
… but a similar increase in risk was seen in patients starting non-statin lipid-lowering drugs.
WTF?!! Does that somehow exonerate statins? Let’s read on.
Compared with non-users, both statin and non-statin lipid-lowering drug (LLD) use was found to be associated with acute memory loss in the weeks following treatment initiation, but there was no difference in memory loss when statins and non-statins were compared with each other, researcher Brian L. Strom, MD, of Rutgers University in Newark, N.J., and colleagues wrote online June 8 in JAMA Internal Medicine.
I see. So Dr. Strom compared the effects of whiskey and gin on memory loss and found them to be the same. No worries about whiskey, then. Next thing you know, Dr. Strom will be suggesting people who drink whiskey and gin just think they’re experiencing more memory loss.
The observation that all LLDs were associated with memory loss suggests that either all drugs used to lower lipid levels cause acute memory loss or that the observed memory loss in the study was due to detection bias, Strom said.
Head. Bang. On. Desk.
In a telephone interview with MedPage Today, Strom said it makes sense that patients on a new drug would be more likely to notice symptoms and attribute them to the drug, and they are also more likely to report such symptoms to their physician.
Riiiiight. Statins (and other lipid-lowering drugs) don’t actually cause memory loss, ya see. It’s just that people on statins who were going to have memory issues anyway are more likely to blame the drug. Kind of like one of those next-day phone conversations in college …
“Hello? Oh, hey, Mark. What? Of course I’m alive! Why wouldn’t I be? Uh-huh … uh-huh … I said WHAT?! YOU’VE GOT TO BE KIDDING ME! Well, hell no, I don’t remember! Look, just do me a favor and tell her it was the Jack Daniel’s talking!”
Several previous studies have shown acute memory loss associated with the use of statins, but others have not shown the association or have even shown improved memory in long-term statin users compared with non-users.
Strom noted that without the non-statin LLD control group in his study, the findings would have shown a strong association between statin initiation and short-term memory loss.
“In the absence of this control group, the finding would have been completely misleading,” he said.
Okay, to illustrate the deep and wide stupidity of that statement, imagine this quote about my whiskey-and-gin comparison study.
Naughton noted that without the gin-only control group in his study, the findings would have shown a strong association between whiskey and short-term memory loss.
“In the absence of this gin-only control group for comparison, the finding would have been completely misleading,” he said.
Strom said the study findings should reassure both patients and physicians who prescribe statins.
Naughton said the study findings should reassure both college students who drink whiskey and the liquor-store owners who sell the whiskey.
“This whole issue of short-term memory loss with statins is really a tempest in a teapot,” he said. “Statins are very effective drugs, and people should not veer away from them for fear of a short-term memory effect, especially given the data suggesting that long-term statin use improves memory.”
“This whole issue of short-term memory loss with whiskey is really a tempest in a teapot,” Naughton said. “Whiskey is a very effective drink, and people should not veer away from it for fear of a short-term memory effect, especially given the data suggesting that long-term whiskey use improves memory.”
Strom reported receiving research funding from AstraZeneca and Bristol-Myers Squibb and serving as a consultant to Abbott, AstraZeneca, Bayer Healthcare, Bristol-Myers Squibb, Novartis and Pfizer. A co-author reported receiving research funding from AstraZeneca and Bristol-Myers Squibb and serving as a consultant to AstraZeneca, Bayer Healthcare, Bristol-Myers Squibb, and Merck.
Naughton reported receiving research funding from Jack Daniel’s and Old Grand-Dad and serving as consultant to Jim Beam, Johnnie Walker and Jameson’s. A co-author reported receiving research funding from Knob Creek and Barton Reserve and serving as a consulting to Glen Morangie, Glenfiddich, Canadian Club and Bushmill’s.
Here’s the bottom line: beating down your cholesterol is bad for your brain, whether you do it with a statin or another drug. Comparing statins to non-statin LLDs doesn’t change that … any more than drinking gin instead of whiskey will explain why that strange dude is snoring in the back seat of your car.
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