Dr. Daniel Steinberg, author of “The Cholesterol Wars”, has just issued new recommendations proposing that “proposing that aggressive intervention to lower cholesterol levels as early as childhood is the best approach available today to reducing the incidence of coronary heart disease.”

In a review article published in the August 5, 2008 issue of the American Heart Association journal Circulation, Steinberg and his colleagues stat that “with a large body of evidence proving that low cholesterol levels equate with low rates of heart disease, “…our long-term goal should be to alter our lifestyle accordingly, beginning in infancy or early childhood” and that “…instituting a low-saturated fat, low-cholesterol diet in infancy (7 months) is perfectly safe, without adverse effects…”

I don’t know whether to scream or cry when I read this stuff. Or both. Why? Because Dr. Steinberg’s dietary recommendations - if embraced by parents - are sure to increase the risk of heart disease and cause developmental problems in the children unfortunate enough to adopt them.

Let’s take a closer look at each part of the article on ScienceDaily.com describing the new recommendations and see if Steinberg’s claims make any sense.

Progress in treating heart disease? What progress? Heart disease is the #1 cause of death in the U.S. today. In the early part of the 20th Century, heart disease was relatively unknown. I would hardly call that progress.

As for statins, please refer to my previous article “The Truth About Statin Drugs” for a more accurate appraisal of the effectiveness (or lack thereof) of statins. In short, statins don’t reduce the risk of death in 95% of the population, including healthy men with no pre-existing heart disease, women of any age and the elderly. While statin drugs do reduce mortality for young and middle-aged males with pre-existing heart disease, the benefit is small and not without significant adverse effects, risks and costs.

For example, in the six largest studies done on statins and mortality to date, the absolute risk reduction ranged from -0.3% to 3.3%. In two of those studies, statins actually increased the risk of death. In an analysis of this data, the UK Medical Research Council determined that even if you were in the 5% of the population that statins benefit, you’d have to take a statin for 30 years at a cost of $42,000 just to add nine months (best case) to your life.

Even that scenario is entirely hypothetical, because statins cause cancer in lab animals. Although this hasn’t been shown in humans to date, the window between exposure to a carcinogen and development of cancer can be as long as 25 years for humans. Since no one has been on statins for that long, there is still reason to believe that they might have the same effect in humans that they do on animals.

Progress? I don’t think so.

“Bad cholesterol”? That’s so 1975. It is well accepted even within the mainstream scientific community today that normal LDL cholesterol (so-called “bad cholesterol”) is not a risk factor for heart disease. Instead, it is the oxidation of the polyunsaturated fatty acid in the membrane of the LDL particle (when the level of antioxidants in the diet is insufficient to protect them) that contributes to heart disease.

Therefore, the only LDL cholesterol that could be called “bad” is oxidized LDL.
And what promotes oxidation of the LDL particle? Eating polyunsaturated fat (found in vegetable oils, nuts and seeds and in almost all processed food). Of course, these are exactly the fats the American Heart Association has promoted as “heart-healthy” for decades.

In addition to promoting oxidation of LDL particles, polyunsaturated fats contribute directly to atherosclerosis and heart attacks. 75% of arterial plaque is made up of unsaturated fat, of which 50% is polyunsaturated (only 25% is saturated). The greater the concentration of polyunsaturated fat in the plaque, the more likely it is to rupture. Such ruptures, and the ensuing blood clots that form, are a primary cause of heart attacks.

Another well-established cause of heart disease is inflammation. Omega-6 polyunsaturated fats, which constitute a large percentage of caloric intake for most Americans, are known to promote inflammation. Indeed, excess linoleic acid (LA) in the diet from vegetable oil has been shown to contribute directly to heart disease.

So, the notion that saturated fat “clogs arteries” and causes heart attacks is totally false. It is actually polyunsaturated fat - the so-called “heart-healthy fat - which has those effects.

If people’s lives weren’t at stake the irony of such a situation might be almost funny. As it stands it’s one of the great public health tragedies of modern times.

And what about the notion that eating cholesterol raises cholesterol levels in the blood? It turns out to be false - and Steinberg even admits as much in his own book. There are two parts of the hypothesis that cholesterol causes heart disease. The first part, called the “diet-heart hypothesis”, is that eating cholesterol in the diet raises cholesterol levels in the blood. The second part, called the “lipid hypothesis”, holds that high cholesterol levels in the blood cause heart disease.

We’ve already addressed the “lipid hypothesis” above. As for the “diet-heart hypothesis”, Steinberg clearly states in his book that there is little evidence to support it. Tightly controlled egg-feeding studies have shown that eating cholesterol only raises cholesterol levels in about 30% of the population (”hyper-responders”).

However, these same studies showed that egg consumption led to an increase in “light, fluffy LDL” that was actually protective against heart disease. Why? Because these large, buoyant LDL particles are protected against oxidation.

Finally, what about saturated fat? Does it cause heart disease as Steinberg suggests? Once again, the evidence squarely contradicts Dr. Steinberg’s claim. In 22 of 26 published studies there was no significant relationship between saturated fat intake and either coronary or all-cause mortality. Among the studies that Dr. Steinberg failed to mention in his book or in his recent recommendation:

• Rose, et al. (1965): Replacing animal fat with corn oil for two years lowered serum cholesterol by 23 mg/dL but quadrupled cardiac and total mortality.
• Sydney Diet-Heart Study (1978): Replacing animal fat with vegetable fat for five years lowered cholesterol by five percent but increased total mortality by 50 percent.

What’s more, in the few studies where saturated fat restriction did reduce deaths from heart disease, deaths from cancer, brain hemorrhage, suicide & violent death went up! In his book The Great Cholesterol Con, Anthony Colpo concludes:

There are two more claims made by Dr. Steinberg that I need to address.

As stated above, there is absolutely no evidence that lowering LDL protects against heart disease. More than 40 trials have been performed to see if cholesterol lowering can prevent heat attacks. When all the results were pooled together, just as many died in the treatment groups as the control groups.

But what is most disturbing to me about Steinberg’s statement is the idea that lowering LDL to such unnatural levels is a “safe and potentially life-saving standard”. Cholesterol is a vital substance in our bodies. 50% of all cell membranes are made up of cholesterol; it is a precursor to sex hormones which govern fertility, reproduction and sexual development; it is an antioxidant that helps prevent free radical damage; and it is needed particularly by infants and children to ensure proper development of the brain and nervous system.

In fact, evidence in adults shows that low cholesterol levels can be dangerous and even life-threatening:

• Low cholesterol is associated with increased total mortality in elderly people.
• Framingham (1987): “There is a direct association between falling cholesterol levels over the first 14 years and mortality over the following 18 years.” In other words, as cholesterol fell death rates went up.
• Honolulu Heart Program (2001): “long-term persistence of low cholesterol concentration actually increases the risk of death. Thus, the earlier the patients start to have lower cholesterol concentrations, the greater the risk of death.”
• J-LIT (2002): The highest death rate was observed among those with lowest cholesterol (under 160mg/dl); the lowest death rate was observed with those whose cholesterol was between 200-259mg/dl.

Low cholesterol has also been associated with increased rates of cancer, depression, violent and aggressive behavior, and suicide.

With that in mind, how could anyone possibly claim that reducing cholesterol to extremely low levels in children is “safe”?

I’m not even sure where to start with this one, except to recommend that people like Dr. Steinberg be prosecuted for making such unfounded, irresponsible and dangerous recommendations.

According to the American Academy of Pediatrics:

Which is to say there is no evidence suggesting that cholesterol levels in kids are a risk factor for adult heart disease.

Furthermore, as we have already discussed, cholesterol is absolutely essential for brain development. Lowering brain levels of cholesterol in children, whose brains are still developing at a rapid rate, could have dire consequences.

Surely Dr. Steinberg must be aware of this? There is nothing controversial about the role of cholesterol in brain development. You can find this information in any physiology or biochemistry textbook. So why - especially in light of the lack of evidence linking cholesterol to heart disease in kids - is he suggesting that we give statins to children?

I really have no idea. In all likelihood Dr. Steinberg means well and believes he’s acting in the interest of our children. But I cannot understand how a respected medical doctor and researcher could overlook such an elementary and important fact and ignore the weight of scientific evidence.

We’ve all heard the saying “when all you’ve got is a hammer, everything looks like a nail.” When someone like Dr. Steinberg has invested so much of their life and energy into the theory that cholesterol causes heart disease, I guess it’s hard to let it go.

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The rate of adherence to the study diet was 95% at year one and 85% at year two. Among the 272 participants who completed the intervention, the mean weight losses were 3.3 kg for the low-fat group, 4.6 kg for the Mediterranean-diet group, and 5.5 kg for the low-carbohydrate group.

Perhaps more significantly, the relative reduction in the ratio of total cholesterol to HDL was 20% in the low carbohydrate group while only 12% in the low-fat group. Among the 35 subjects with diabetes, changes in fasting plasma glucose and insulin levels were more favorable among those assigned to the Mediterranean diet than among those assigned to the low-fat diet.

Unfortunately, the bias against saturated fat and animal products that is still so prevalent in the mainstream (in spite of the lack of evidence to support it) prevailed in this study. The research team advised those following the low-carb diet to “choose vegetarian sources of fat and protein” and moderate their consumption of saturated fats and meat.

This suggests that the low-fat dieters may have consumed a substantial portion of their calories as fat in the form of omega-6 polyunsaturated fatty acids. Excess intake of omega-6 fatty acids contributes to a host of problems including heart disease, diabetes, and cancer; but even more relevant to this study and its results is the fact that omega-6 fatty acids can cause increased water retention. And as everyone knows, increased water retention equals increased weight.

This certainly causes me to wonder how much more dramatic the results of this study might have been if the low-carb subjects were encouraged to significantly restrict their consumption of omega-6 fats (which cause water retention, and thus weight gain) and replace them with saturated fats (which do not cause water retention). What is remarkable is that in spite of the consumption of omega-6 fats, the low-carb group still lost more weight than both the low-fat and Mediterranean groups. That’s a strong endorsement for the benefits of a low-carb diet for weight loss.

The low-carb and Mediterranean (to a lesser degree) diet also had other benefits beyond promoting weight loss and improving cholesterol measures. The level of high-sensitivity C-reactive protein decreased significantly only in the Mediterranean and ow-carb group, with the low-carb group again showing the greatest decrease (29% vs. 21%). C-reactive protein is a measure of inflammation that has been positively correlated with heart disease in recent studies. Once again, one must wonder if the reduction would have been even greater in the low-carb group had the subjects been told to restrict their intake of omega-6 fats, which are known to promote inflammation.

Another interesting finding is that although caloric intake was only restricted in the low-fat and Mediterranean diet groups, the low-carb group also ended up eating fewer calories during the diet. Many people who follow a low-carb, high protein/high fat diet find that they spontaneously eat less because additional protein, and in particular fat, leads to greater levels of satiety (satisfaction).

One limitation of the study is that it relied on self-reported dietary intake (this is true of almost every dietary study except those performed in tightly controlled conditions, such as an inpatient facility). However, the study was somewhat unique in that it was conducted in a workplace at a research center with an on-site medical clinic. It also had several other strengths. The drop-out rate was exceptionally low for a study of this kind; all participants started simultaneously; the duration was relatively long (2 years); the study group was relatively large; and the monthly measurements of weight remitted a better understanding of the weight-loss trajectory than other studies.

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The idea that depression and other mental health conditions are caused by an imbalance of chemicals in the brain is so deeply ingrained in our psyche that it seems almost sacrilegious to question it.

Direct-to-consumer-advertising (DCTA) campaigns, which have expanded the size of the antidepressant market (Donohue et al., 2004), revolve around the claim that SSRIs (the most popular class of antidepressants) alleviate depression by correcting a deficiency of serotonin in the brain.

For example, Pfizer’s television advertisement for Zoloft states that “depression is a serious medical condition that may be due to a chemical imbalance”, and that “Zoloft works to correct this imbalance.”

Other SSRI advertising campaigns make similar claims. The Effexor website even has a slick video explaining that “research suggests an important link between depression and an imbalance in some of the brain’s chemical messengers. Two neurotransmitters believed to be involved in depression are serotonin and norepinephrine.” The video goes on to explain that Effexor works by increasing serotonin levels in the synapse, which is “believed to relieve symptoms of depression over time.”

These days serotonin is widely promoted as the way to achieve just about every personality trait that is desirable, including self-confidence, creativity, emotional resilience, success, achievement, sociability and high energy. And the converse is also true. Low serotonin levels have been implicated in almost every undesirable mental state and behavioral pattern, such as depression, aggressiveness, suicide, stress, lack of self-confidence, failure, low impulse control, binge eating and other forms of substance abuse.

In fact, the idea that low levels of serotonin cause depression has become so widespread that it’s not uncommon to hear people speak of the need to “boost their serotonin levels” through exercise, herbal supplements or even sexual activity. The “chemical imbalance” theory is so well established that it is now part of the popular lexicon.

It is, after all, a neat theory. It takes a complex and heterogeneous condition (depression) and boils it down to a simple imbalance of two to three neurotransmitters (out of more than 100 that have been identified), which, as it happens, can be “corrected” by long-term drug treatment. This clear and easy-to-follow theory is the driving force behind the $12 billion worth of antidepressant drugs sold each year.

However, there is one (rather large) problem with this theory: there is absolutely no evidence to support it. Recent reviews of the research have demonstrated no link between depression, or any other mental disorder, and an imbalance of chemicals in the brain (Lacasse & Leo, 2005; (Valenstein, 1998).

The ineffectiveness of antidepressant drugs when compared to placebo cast even more doubt on the “chemical imbalance” theory. (See my recent articles Placebos as effective as antidepressants and A closer look at the evidence for more on this.)

Folks, at this point you might want to grab a cup of tea. It’s going to take a while to explain the history of this theory, why it is flawed, and how continues to persist in light of the complete lack of evidence to support it. I will try to be as concise as possible, but there’s a lot of material to cover and a lot of propaganda I need to disabuse you of.

Ready? Let’s start with a bit of history.

The history of the “chemical imbalance” theory

The first antidepressant, iproniazid, was discovered by accident in 1952 after it was observed that some tubercular patients became euphoric when treated with this drug. A bacteriologist named Albert Zeller found that iproniazid was effective in inhibiting the enzyme monoamine oxydase. As its name implies, monoamine oxydase plays an essential role in inactivating monoamines such as epinephrine and norepinephrine. Thus, iproniazid raised levels of epinephrine and norepinephrine which in turn led to stimulation of the sympathetic nervous system - an effect thought to be responsible for the antidepressant action of the drug.

At around the same time, an extract from the plant Rauwolfia serpentina was introduced into western psychiatry. This extract had been used medicinally in India for more than a thousand years and was thought to have a calming effect useful to quite babies, treat insomnia, high blood pressure, insanity and much more. In 1953 chemists at Ciba, a pharmaceutical company, isolated the active compound from this herb and called it reserpine.

In 1955 researchers at the National Institutes of Health reported that reserpine reduces the levels of serotonin in the brains of animals. It was later established that all three of the major biogenic amines in the brain, norepinephrine, serotonin, and dopamine, were all decreased by reserpine (again, in animals).

In animal studies conducted at around the same time, it was found that animals administered reserpine showed a short period of increased excitement and motor activity, followed by a prolonged period of inactivity. The animals often had a hunched posture and an immobility that was thought to resemble catatonia (Valenstein, 1998). Since reserpine lowered levels of serotonin, norepinephrine and dopamine, and caused the effects observed in animals, it was concluded that depression was a result of low levels of biogenic amines. Hence, the “chemical imbalance” theory is born.

However, it was later found that reserpine only rarely produces a true clinical depression. Despite high doses and many months of treatment with reserpine, only 6 percent of the patients developed symptoms even suggestive of depression. In addition, an examination of these 6 percent of patients revealed that all of them had a previous history of depression. (Mendels & Frazer, 1974) There were even reports from a few studies that reserpine could have an antidepressant effect (in spite of reducing levels of serotonin, norepinephrine and dopanmine).

As it turns out, that is only the tip of the iceberg when it comes to revealing the inadequacies of the “chemical imbalance” theory.

The fatal flaws of “chemical imbalance” theory

As Elliot Valenstein Ph.D., Professor Emeritus of psychology and neuroscience at Michigan University, points out in his seminal book Blaming the Brain, “Contrary to what is often claimed, no biochemical, anatomical or functional signs have been found that reliably distinguish the brains of mental patients.” (p. 125)

In his book, Valenstein clearly and systematically dismantles the chemical imbalance theory:

1. Reducing levels of norepinephrine, serotonin and dopamine does not actually produce depression in humans, even though it appeared to do so in animals.
2. The theory cannot explain why there are drugs that alleviate depression despite the fact that they have little or no effect on either serotonin or norepinephrine.
3. Drugs that raise serotonin and norepinephrine levels, such as amphetamine and cocaine, do not alleviate depression.
4. No one has explained why it takes a relatively long time before antidepressant drugs produce any elevation of mood. Antidepressants produce their maximum elevation of serotonin and norepinephrine in only a day or two, but it often takes several weeks before any improvement in mood occurs.
5. Although some depressed patients have low levels of serotonin and norepinephrine, the majority do not. Estimates vary, but a reasonable average from several studies indicates that only about 25 percent of depressed patients actually have low levels of these metabolites.
6. Some depressed patients actually have abnormally high levels of serotonin and norepinephrine, and some patients with no history of depression at all have low levels of these amines.
7. Although there have been claims that depression may be caused by excessive levels of monoamine oxydase (the enzyme that breaks down serotonin and norepinephrine), this is only true in some depressed patients and not in others.
8. Antidepressants produce a number of different effects other than increasing norepinephrine and serotonin activity that have not been accounted for when considering their activity on depression.

Another problem is that it is not now possible to measure serotonin and norepinephrine in the brains of patients. Estimates of brain neurotransmitters can only be inferred by measuring the biogenic amine breakdown products (metabolites) in the urine and cerebrospinal fluid. The assumption underlying this measurement is that the level of biogenic amine metabolites in the urine and cerebrospinal fluid reflects the amount of neurotransmitters in the brain. However, less than one-half of the serotonin and norepinephrine metabolites in the urine or cerebrospinal fluid come from the brain. The other half come from various organs in the body. Thus, there are serious problems with what is actually being measured.

Finally, there is not a single peer-reviewed article that can be accurately cited to support claims of serotonin deficiency in any mental disorder, while there are many articles that present counterevidence. Furthermore, the Diagnostic and Statistical Manual of Mental Disorders (DSM) does not list serotonin as the cause of any mental disorder. The American Psychiatric Press Textbook of Clinical Psychiatry addresses serotonin deficiency as an unconfirmed hypothesis, stating “Additional experience has not confirmed the monoamine depletion hypothesis” (Lacasse & Leo, 2005).

When all of this evidence is taken in full, it should be abundantly clear that depression is not caused by a chemical imbalance.

But, as Valenstein shrewdly observes, “there are few rewards waiting for the person who claims that “the emperor is really nude” or who claims that we really do not know what causes depression or why an antidepressant sometimes helps to relieve this condition.”

How have we been fooled?

There are several reasons the idea that mental disorders are caused by a chemical imbalance has become so widespread (and none of them have anything to do with the actual scientific evidence, as we have seen).

It is known that people suffering from mental disorders and especially their families prefer a diagnosis of “physical disease” because it does not convey the stigma and blame commonly associated with “psychological problems”. A “physical disease” may suggest a more optimistic prognosis, and mental patients are often more amenable to drug treatment when they are told they have a physical disease.

Patients are highly susceptible to Direct-to-Consumer-Advertising (DCTA). It has been reported that patients are now presenting to their doctors with a self-described “chemical imbalance” (Kramer, 2002). This is important because studies show that patients who are convinced they are suffering from a neurotransmitter defect are likely to request a prescription for antidepressants, and may be skeptical of physicians who suggest other interventions such as cognitive behavioral therapy (DeRubeis et al., 2005). It has also been shown that anxious and depressed patients “are probably more susceptible to the controlling influence of advertisements (Hollon MF, 2004).

The benefit of the chemical imbalance theory for insurance companies and the pharmaceutical industry is primarily economic. Medical insurers are primarily concerned with cost, and they want to discourage treatments (such as psychotherapy) that may involve many contact hours and considerable expense. Their control over payment schedules enables insurance companies to shift treatment toward drugs and away from psychotherapy.

The motivation of the pharmaceutical companies should be fairly obvious. As mentioned previously, the market for antidepressant drugs is now $12 billion. All publicly traded for-profit companies are required by law to increase the value of their investor’s stock. Perhaps it goes without saying, but it is a simple fact that pharmaceutical companies will do anything they legally (and sometimes illegally) can to maximize revenues.

Studies have shown that the advertisements placed by drug companies in professional journals or distributed directly to physicians are often exaggerated or misleading and do not accurately reflect scientific evidence (Lacasse & Leo, 2005). While physicians deny they are being influenced, it has been shown repeatedly that their prescription preferences are heavily affected by promotional material from drug companies (Moynihan, 2003). Research also suggests that doctors exposed to company reps are more likely to favor drugs over non-drug therapy, and more likely to prescribe expensive medications when equally effective but less costly ones are available (Lexchin, 1989). Some studies have even shown an association between the dose and response: in other words, the more contact between doctors and sales reps the more doctors latch on to the “commercial” messages as opposed to the “scientific” view of a product’s value (Wazana, 2000).

The motivation of psychiatrists to accept the chemical imbalance theory is somewhat more subtle. Starting around 1930, psychiatrists became increasingly aware of growing competition from nonmedical therapists such as psychologists, social workers and counselors. Because of this, psychiatrists have been attracted to physical treatments like drugs and electroshock therapy that differentiate them from nonmedical practitioners. Psychiatry may be the least respected medical specialty (U.S. General Accounting Office report). Many Americans rejected Fruedian talk therapy as quackery, and the whole field of psychiatry lacks the quality of research (randomized, placebo-controlled, double-blind experiments) that serves as the gold-standard in other branches of medicine.

Dr. Colin Ross, a psychiatrist, describes it this way:

Of course there are also many “benefits” to going along with the conventional “chemical imbalance” theory, such as free dinners, symphony tickets, and trips to the Caribbean; consultancy fees, honoraria and stock options from the pharmaceutical companies; and a much larger, growing private practice as the $20 billion spent by drug companies on advertising brings patients to the office. Psychiatrists are just human, like the rest of us, and not many of them can resist all of these benefits.

In sum, the idea that depression is caused by a chemical imbalance is a myth. Pharmaceutical ads for antidepressants assert that depression is a physical diseases because that serves as a natural and easy segue to promoting drug treatment. There may well be biological factors which predispose some individuals toward depression, but predisposition is not a cause. The theory that mental disorders are physical diseases ignores the relevance of psychosocial factors and implies by omission that such factors are of little importance.

Stay tuned for future articles on the psychosocial factors of depression, the loss of sadness as a normal response to life, and the branding of new psychological conditions as a means of increasing drug sales.

Recommended resources

• Blaming the Brain, by Elliot Valenstein Ph.D.
• Rethinking Psychiatric Drugs, by Grace Jackson M.D.
• America Fooled: The truth about antidepressants, antipsychotics and how we’ve been deceived, by Timothy Scott Ph.D.
• The Loss of Sadness, by Alan Horwitz and Jerome Wakefield
• The Myth of the Chemical Cure, by Joanna Moncrieff

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The tricky thing about doing scientific research, as I explained in last week’s article, is that conflicts of interest between doctors, researchers and pharmaceutical companies have become so prevalent that the results of even studies published in prominent, peer-reviewed journals cannot be taken at face value.

One must ask: was the study designed properly? Do the author’s conclusions match their own data? Have the authors reported all of the relevant results? Who funded the study, and what role did they have in choosing the subjects, overseeing the methodology and publishing the results?

When looking at a body of research, one must also consider whether there are unpublished studies on the topic and what the effect of those studies might be. This is particularly true in the case of antidepressants, where it has been estimated that approximately 23% of studies have not been published. Why? Because those studies had even less favorable results than those studies that have been published, and the drug companies who paid for them are under no legal obligation (currently - hopefully this might change in the future) to publish study results.

With that in mind, let’s consider Stephan’s comment and each of the points he brings up in turn:

I want to thank Stephan again for his comment and for raising these important issues.

Let’s start with the parts that I agree with. Certainly, depression has become so broad a term that some have argued that it is an essentially meaningless clinical designation. Unlike other conditions that have measurable physiological markers, people that are diagnosed as depressed do not usually have any features that categorically distinguish them from other people. The sorts of problems that are diagnosed as depression can very considerably depending upon which diagnostic criteria are used, the interpretation of those criteria, and cultural and professional attitudes.

In their book The Loss of Sadness, Horwitz and Wakefield point out that the diagnosis of depression has now come to include transient and completely appropriate responses to life such as sadness after the passing of a loved one, disappointment after the loss of a job or anxiety about financial troubles. They argue, very convincingly, that the DSM IV criteria for depression do not adequately distinguish between what they call “normal sadness” and depression, and the result has been the almost complete medicalization of our emotional response to life. I will be writing an article on this very soon, as I believe it’s a critical perspective to understand in our exploration of depression and antidepressants.

Secondly, I certainly cannot argue with the statement that “antidepressants work for some people”. However, the important questions to ask in relation to that statement are:

• Why do antidepressants work
• How do antidepressants work?
• Whom do they work for?

Why are these questions important? Because if it turns out that antidepressants do not have any specific drug effects (raising serotonin, for example), and work only because people expect or desire them to work (like placebos), or because of non-specific drug effects (such as sedation or stimulation), then the logic behind prescribing antidepressants at all becomes quite tenuous to say the least - especially when their side effects and risks are taken into consideration.

Now let’s consider each point in turn.

What Stephan says about the dangers of meta-analysis are true. However, the same danger applies to overestimating the efficacy of antidepressants. There may be some people who are “responders” who have a response to the drug that is significantly higher than placebo; however, there may also be “nonresponders” whose response to the drug was significantly lower than placebo. There is no indication that antidepressants work on a particular subset of people, and no one has identified who this subset is and why they are helped by antidepressants when others are not.

Kirsch’s analysis that antidepressants do not have a clinically meaningful advantage over placebo (”The Emperor’s New Drugs“) has been almost universally accepted within the scientific community. Kirsch’s and his colleagues invoked the Freedom of Information Act to obtain access to the FDA database of controlled trials used in the initial approval for the most popular antidepressants. According to researcher David O. Antonuccio in his article “Antidepressants: A Triumph of Marketing Over Science?“, it is difficult to imagine a database that would offer a more fair opportunity to evaluate the efficacy of antidepressants.

The fact that Kirsch found that antidepressants were no more effective than placebo is surprising, in a way, because these results come from studies that were underwritten and designed by the drug companies themselves under conditions most favorable to the active drug condition. In other words, the deck was stacked from the start in favor of the drugs, and they still didn’t come out ahead.

Since a drug must be shown to be superior to placebo in order to be approved, placebo effects are incredibly annoying to drug companies and they do everything they can to minimize the impact of placebo in their studies. The fact that the FDA allows them to use these techniques is, in my mind, blatant corruption. Consider the following methods used in the studies Kirsch analyzed (and most studies, for that matter):

1. Placebo washout period: During the first two weeks of the study, everyone is on a placebo. The subjects that respond best to placebo are eliminated from the study. This potentially removes both antidepressant nonresponders (i.e. those that were on an antidepressant before the study starts who get better when they are taken off of it) and placebo resopnders (i.e. those that are not on antidepressants before the study and who respond to placebo). Imagine the converse: an antidepressant washout procedure that eliminates all of the antidepressant responders before a study begins! Such a procedure would surely be considered bias.
2. Penetration of the blind: the double-blind in these studies (where neither the patients nor doctors are supposed to know who is taking the drug and who is taking the placebo) is likely to be unintentionally broken because of the pattern of side effects in the active and inactive drug conditions (Greenberg & Fisher, 1997). When efforts are made to ensure the integrity of the blind, drug effects are diminished. For example, a recent review of the Cochrane database of antidepressant studies using “active placebos” (making side effects more difficult to detect) found very small, non-significant differences between drug and placebo, suggesting that trials using inert placebos overestimate drug effects (Moncrieff, Wessely & Hardy, 2001)
3. Replacement of non-responders: at least six of the studies Kirsch reviewed (of 38) allowed replacement of nonresponders. This means that during the first two weeks of the study, those that were not responding to the drug were removed from the study!
4. Use of sedative medication: Most studies allowed the prescription of a sedative concurrent with the antidepressant. Since other studies have shown that sedatives are as effective in treating depression as antidepressants, how can we possibly know whether the antidepressant effect obtained (if there was one) in these studies was due to the antidepressant drug or the sedative? There are at least 6 points on the 52-point HAM-D scale that the doctors use to determine whether a patient is depressed or not that are related to sleep and favor medications with sedative properties. Since the mean difference between patients taking drugs and patients taking placebos in the studies Kirsch analyzed was only 2 points, it is entirely possible that this small difference is only due to the effects of the sedatives used in the studies and has nothing to do with a true antidepressant drug effect.
5. Reliance on clinician ratings: Given that patients tend to report smaller differences than clinicians (Moncrieff, 2001) one certainly wonders how the pattern of results would change using self-report measures like the Beck Depression Inventory.

Frankly, considering the bias against placebo described above, it is simply amazing that placebo still nearly matched the effects of the drug. Imagine what the results might look like if the trials had been performed without these “anti-placebo” measures!

Also, Kirsch et al. pointed out that the overall active drug effects may have been further inflated because mean results were not reported from several studies that found nonsignificant differences between placebo and active drugs.

The advantage to using the FDA database for analysis is considerable. It contains all of the data from initial trials, published or not, and therefore is not subject to the usual publication bias. (As I mentioned earlier in the article, drug companies simply don’t publish negative results. This is known as the “file drawer” phenomenon, since they probably just stuff those studies in some file drawer hoping they will never be found). Antidepressants are significantly more effective than inert placebos in about two-thirds of published trials. However, in the FDA database which includes unpublished trials, Kirsch found that medication outperformed placebo less than half of the time (in 20 of 46 trials).

Although Kirsch’s study is a meta-analyses, he is also looking directly at the results of individual trials. When less than half of individual trials show any advantage for the active drug over placebo, one must really wonder whether these drugs have any specific “antidepressant” effects.

Now on to the next point.

Actually, it’s not the case that antidepressants work in animal models. According to Joanna Moncrieff in her book The Myth of the Chemical Cure, it is rarely mentioned that all animal models of depression produce variable results according to where they are conducted. “In other words,” she says, “they are unreliable.” In addition to this, they fail to select specifically for antidepressants and responses are obtained with drugs that are not generally considered to be antidepressants (i.e. amphetamines, opiates, antihistamines, antipsychotics, atropine, pentobarbital, zinc and antibiotics).

Also, the SSRIs (the most popular class of antidepressant drugs) typically fail to have any response in the forced swim test, which is one of the most common antidepressant screening tests. In this test, rats are placed in a tank of water from which they cannot escape. The time until they give up trying to escape is measured, on the assumption that the state of giving up is akin to depression. It is thought that antidepressants should prolong the time to giving up. However, the SSRIs have no such effect.

Finally, other tests for depression also frequently show that non-antidepressant drugs (sedatives, stimulants, antihistamines, etc) yield “false positive” results.

I’m not so sure we shouldn’t banish them from planet Earth, to tell you the truth.

Longitudinal follow-up studies (which study the effects of antidepresants over the long term - not just the 6-8 week periods the clinical trials look at) show very poor outcomes for people treated for depression both in the hospital and in the community, and the overall prevalence of depression is rising despite increased use of antidepressants (Moncrieff & Kirsch, 2006). Two studies that assessed outcome in depressed patients treated with and without drugs found that people prescribed antidepressants had a slightly worse outcome than those not prescribed them, even after baseline severity had been taken into account (Brugha TS et al, 1992; Ronalds C et al., 1997). No comparable studies exist that show a better outcome in people prescribed antidepressants.

Outside short-term randomized clinical trials there is virtually no evidence that antidepressants have changed the outcome of depression. The evidence that does exist suggests that they may have possibly made it worse. Depression is more common today than before antidepressants were introduced and the outcome has not improved. Epidemiological trends show that the more antidepressants are prescribed, the more prevalent depression is. Sharply rising levels of antidepressant prescribing since the 1990s have been accompanied by increased prevalence of depressive episodes (Patten 2004) and by rising levels of sickness absence for depression (Moncrieff & Pomerleau 2000).

Finally, there is a growing body of research suggesting that antidepressants worsen the chronicity, if not severity, of depression in many patients. Even relatively short-term exposure to antidepressants has been shown to cause chemical and even anatomical changes in the body and brain that could predispose patients to further depressive episodes (Jackson, “Rethinking Psychiatric Drugs“)

Some might argue that antidepressants are important to stave off suicide in very depressed patients. However, there is no evidence that antidepressants reduce the risk of suicide or suicide attempts in comparison with a placebo in clinical trials (Kahn et al. 2000). In fact, rates have actually increased in some age groups and in some countries despite increased antidepressant prescribing (Moncrieff & Kirsch 2006), and when antidepressant trials have been re-analyzed to compensate for erroneous methodologies, the SSRIs have consistently revealed a risk of suicide (completed or attempted) of between two to four times higher than placebo (ackson, “Rethinking Psychiatric Drugs“)

And we haven’t even talked about side effects yet! Since this article is already very long, I’ll save that for another day. Suffice to say that these are not harmless drugs and the side effects can be severe and potentially fatal.

So I ask you, fair readers, when you add all of this up, should doctors continue to prescribe antidepressants? Let’s see what researchers who have been studying antidepressants and depression for decades have to say:

Moncrieff has actually suggested that the term “antidepressant” is a misnomer, because the drugs have not been demonstrated to have a consistent and specific effect against depression.

If antidepressant drugs were the only option for treating depression, one might still be able to make an argument for their use in spite of their lack of efficacy and risks. However, it has repeatedly been shown that aerobic exercise, light therapy, Cognitive Behavioral Therapy, St. John’s Wort, bibliotherapy (prayer) and perhaps acupuncture (more studies are needed) are just as effective for treating depression as antidepressants - with few, if any, adverse effects. In fact, in the case of exercise many of the side effects produced are beneficial (e.g. better overall health and wellness).

Considering that antidepressants are likely no more effective than placebos, have not improved (and perhaps worsened) long-term outcomes, may increase the risk of suicidal and violent behavior and have significant many other significant side effects and risks, including potentially permanent changes in the brain which predispose patients to further depression… and considering that there are well-established alternatives that are just as effective, if not more so, in treating depression with almost no adverse effects and significantly fewer costs, I see no compelling reason to continue prescribing antidepressants.

Obviously many other people are posing this question, particularly in the medical community. Kirsch’s research has been so widely accepted that the debate has not centered around his conclusions, but on the implications of those conclusions. Ironically, it has been suggested by more than one commentator that although we now know that antidepressants aren’t effective, we should continue to prescribe them - if only in an attempt to elicit a placebo effect.

Huh? Let me explain. One major reason people respond to placebo in antidepressant trials is that they expect the drug to work. They expect it to work because of all of the promotion they’ve seen, newspaper and magazine articles they’ve read, and personal testimonials they’ve heard. What would happen if it became known that antidepressants are, in fact, not effective and that they could actually make depression worse. Bye bye placebo effect.

So some researchers and doctors have actually suggested that we should go on promoting the delusion that antidepressants are effective so that people who are taking them will continue to believe that they are working, which of course significantly increases the chance that they will work.

If these drugs were not so potentially dangerous and harmful, and if there were not proven alternatives, I could almost go along with this deception - although it does raise some very interesting ethical questions. However, the drugs are potentially dangerous and harmful, and there are proven alternatives, so I cannot agree with this approach.

In closing, I just want to remind anyone who is currently taking an antidepressant and thinking about stopping that it is essential you do so under your doctor’s supervision. You will have to gradually taper off of your medication - do not stop abruptly!

As always, I welcome your comments and questions.

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Much of what I write may challenge your current beliefs and contradict what you’ve heard about depression and antidepressants. My hope is that today’s post about the influence of the pharmaceutical industry on doctors, researchers and patients will inspire you to re-examine what you’ve been told so far and approach everything you hear in the future with a “healthy skepticism”.

The truth is that all of our beliefs about depression have been tainted, quite intentionally, by the more than $20 billion spent each year by pharmaceutical companies to promote their drugs (an amount greater than the gross domestic product of all but 70 of the world’s richest nations). In 2000, the pharmaceutical industry had a combined lobbying and campaign contribution budget of $200 million - larger than any other industry (Wayne & Peterson, 2001). The industry has 625 registered lobbyists, more than there are members of congress (Wayne & Peterson, 2001). The industry also underwrites about 70% of clinical drug trials in the United States (DeAngelis et al., 2001).

Consumer Reports has detailed the marketing strategies used by drug companies, including:

• giving free samples and information to doctors
• advertising in medical journals
• using “ask your doctor” media advertisements aimed directly at the consumer (the U.S. and New Zealand are the only two countries that allow this)
• sponsoring promotional dinner meetings with substantial gifts or even cash provided for attendees
• paying consultants to speak at scientific meetings where it is possible to circumvent FDA guidelines that require disclosure of side effects
• funding only those research projects that have a high likelihood of producing favorable results for a particular drug company’s product
• terminating negative studies before they are ready for publication
• not publishing studies with negative results
• offering to pay journalists to cover their products
• helping to fund patient advocacy and other public interest groups so the consumer group appears to be publicly carrying the banner of a particular drug

How can we possibly rely on information that is so inexorably intertwined with corporate interests? Corporations have very little motivation to share information that could harm sales of their products, as they are required by law to maximize profits for their shareholders. On the contrary, they have much incentive to do everything in their power to suppress such information. Several studies have shown that researchers who produce data that is contrary to the interests of the pharmaceutical industry risk legal, professional, or even personal attack - directly or indirectly financed by the industry. (Bosley, 2002; Healy, 2002; Monbiot, 2002).

As researcher David Antonuccio points out in his excellent article Antidepressants: A Triumph of Marketing over Science?:

Clinical trials are the basis of approval of new drugs by the FDA, but their reliability is seriously in doubt because of three major flaws: conflicts of interest on the part of investigators; inappropriate involvement of research sponsors in their design and management; and publication bias in disseminating their results. (Quick, 2001)

The situation has become so dire that in September of 2001 the editors of 13 leading medical journals published a joint editorial in which they said:

Huh? Wouldn’t you expect researchers to have these rights already? In many cases, they don’t.

The editor of the prestigious New England Journal of Medicine argued in a separate editorial that the editors didn’t go far enough in their rebuke:

The conflicts of interest between researchers and drug companies is bad enough. But what’s even more distressing is that many doctors do not even read the research to learn about the drugs they are prescribing. Jerry Avorn, a Harvard Medical School professor and drug researcher is a leading authority on how physicians are educated about new drugs. He acknowledges that most physicians have only minimal knowledge about drug studies. Instead, Dr. Avorn has this to say about where most physicians get their knowledge about drugs:

There are now over 90,000 pharmaceutical reps walking the halls of medical offices around the U.S. Since there are less than 600,000 office-based doctors in the U.S. today, there is approximately one full-time drug rep for every six physicians. The drug reps bring free food for office staff, free samples for distribution to patients, free pens, free textbooks and other free gifts. They are also sometimes authorized to provide free vacations for physicians who would enjoy spending a weekend with other physicians in places like Hawaii or the Caribbean hearing the latest “research” on the effectiveness of a drug. In 2006, the pharmaceutical industry spent $2 billion on these types of events alone.

Does all of this advertising and promotion actually influence doctors? You bet it does. A government report found that in just one year the most heavily advertised drugs had prescription increases of 25% (U.S. General Accounting Office, 2002). There is even a formula that generally applies to drug advertising: each dollar spent on advertising increases sales by $4.

Even more discouraging than the influence of drug companies on doctors is the influence of patients who’ve been subjected to drug company advertising on doctors! A study published in the Journal of the American Board of Family Practitioners reported that 49% of patient requests for drugs or other requests prompted by “direct-to-consumer” advertising were not clinically appropriate. Yet 7 out of 10 times, physicians gave into the requests. (And that is by their own admission; there is likely a percentage of physicians who do not want to admit they write prescriptions or order tests on the basis of patient requests.)

The influence of advertising on doctors and patients is particularly relevant in the case of antidepressants. By a wide margin the largest amount spent on advertising by drug companies was on antidepressant promotion - a whopping $367 million dollars per week!(U.S. General Accounting Office, 2002) In fact, it appears that DTC advertising may be the single most effective way a drug company can increase the number of people who are diagnosed with depression and then will begin taking antidepressants (Donohue, 2004).

I could go on, but I think you get the point. As consumers and patients we simply cannot rely on profit-driven drug companies to give us accurate information about their products. And unfortunately, because of the massive conflicts of interest that exist between researchers, physicians and the pharmaceutical industry - we cannot necessarily rely on our doctors or even scientific studies to show us the way.

Luckily for us, there are still studies being done by independent researchers and those brave enough to risk the ire of the drug companies that we can turn to for honest, unbiased data. Unsurprisingly, these studies often have very different results than those sponsored by the industry. Thanks to the Freedom of Information Act, some researchers have even been able to access the studies done by the drug companies that they never published (obviously the ones that were least favorable to their drugs).

When these independent and unpublished studies are analyzed, a very different picture of depression and the efficacy of antidepressants begins to emerge.

Contrary to popular belief:

You might be shocked by some of these statements. Though I was already very skeptical about antidepressants before beginning this research, I myself have been blown away by the complete lack of evidence supporting the theory that depression is a biological disease and the very strong evidence that antidepressants are no more effective than placebo.

I’ll be writing in more detail about several of the points to come in the coming weeks, so please stay tuned!

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In last week’s article about the ineffectiveness of statin drugs in reducing mortality in most populations I promised I would follow-up with an article on drug-free prevention of heart disease. I will do that this week, but it occurred to me that the first article in this series should have been one that dispels the myth that cholesterol causes heart disease. Understanding that is the key to the prevention strategies that will follow in the next article. So without further ado…

You are all no doubt acquainted with the popular hypothesis on cholesterol and heart disease. It has two parts: first, that eating cholesterol in the diet raises cholesterol levels in the blood; and two, that high cholesterol levels in the blood cause heart disease.

You might be surprised to learn that neither of these statements is true. The first one is relatively easy to dispatch. In the Framingham Heart Study, which is the longest-running and perhaps most significant study on heart disease done to date, it was demonstrated that intake of cholesterol in the diet had absolutely no correlation with heart disease. If you look at the graph below, you’ll see that both men and women with above average intake of cholesterol had nearly identical rates of heart disease as men and women with below average intake of cholesterol.

In fact, the “diet-heart hypothesis”, which is the scientific name for the idea that eating cholesterol causes heart disease, has even been discounted by the researchers who were responsible for its genesis. Ancel Keys, who in many ways can be considered the “father” of the cholesterol-heart disease hypothesis, had this to say in 1997:

This is a reference to early studies performed on chickens and rabbits where they force-fed these animals high-levels of cholesterol. Since rabbits and chickens are mostly vegetarian, their physiology is not adapted for processing such large amounts of dietary cholesterol, so it’s no surprise they developed atherosclerosis. The mistake was assuming that the results of this experiment could be extrapolated to humans, who are omnivores with significant differences in physiology.

The second tenet of the cholesterol-heart disease hypothesis, the notion that high cholesterol levels in the blood cause heart disease, is referred to as the “lipid hypothesis” in the scientific community. Though it still accepted as gospel truth by the general public and many medical professionals, most researchers now believe the primary causes of heart disease are inflammation and oxidative stress. Unfortunately, the rest of us haven’t gotten the memo, so to speak, that cholesterol isn’t the cause of heart disease.

It would take several articles to explain this in complete detail, but I’d like to give at least a brief summary here.

If cholesterol caused heart disease, it should be a risk factor in 1) all ages, 2) both sexes and 3) all populations around the world (barring any protective factor, of course). Also, if cholesterol caused heart disease we would expect that lowering cholesterol would reduce heart disease. But none of these assumptions turn out to be true.

The rate of heart disease in 65-year old men is ten times that of 45-year old men. Yet a recent study in the Journal of American Medical Association indicated that high LDL cholesterol is not a risk factor for from coronary heart disease (CHD) mortality or total mortality (death from any cause). It is extremely unlikely that a risk factor for a disease would stop being a risk factor at a time when that disease kills the greatest number of people. That is akin to suggesting that smoking causes lung cancer in young men, but somehow stops doing so in older men!

Another consistent thorn in the side of supporters of the “lipid hypothesis” is that women suffer 300% less heart disease than men, in spite of having higher average cholesterol levels. At the recent Conference on Low Blood Cholesterol, which reviewed 11 major studies including 125,000 women, it was determined that there was absolutely no relationship between total cholesterol levels and mortality from cardiovascular or any other causes.

Nor is cholesterol a risk factor in all populations around the world. In fact, some of the populations with the highest levels of blood cholesterol have among the lowest rates of heart disease, and vice versa. Dr. Malcom Kendrick, a well-known skeptic of the lipid-hypothesis, explains this very well in the video below:

Finally, more than 40 trials have been performed to determine whether lowering cholesterol levels can prevent heart disease. In some trials heart disease rates went down, in others they went up. But when the results of all of the trials were taken together, just as many people died in the treatment groups (who had their cholesterol levels lowered by drugs) as in the control groups (who had no treatment).

If you’re still skeptical after reading all of this, perhaps William Castelli, the director of the famed Framingham Heart Study mentioned above can convince you:

Or how about Frederick Stare, a long-time American Heart Association member and (former) proponent of the lipid hypothesis:

So there you have it. Contrary to popular belief, cholesterol is not a dangerous poison that causes heart disease. Rather, it is an essential nutrient present in the cell membranes of all tissues of all mammals, and has some very important functions in the body. In fact, in many studies low cholesterol has been associated with an increase in total mortality!

Again, the Framingham Study which followed 15,000 participants over three generations:

In other words, as cholesterol fell death rates went up.

The Honolulu Heart Program study, with 8,000 participants, published in 2001:

And finally, the huge Japanese Lipid Intervention Trial with over 47,000 participants:

In other words, those with the lowest cholesterol had the highest death rate, and those with cholesterol levels that would today be called “dangerous” had the lowest death rate.

As you can see, not only does high cholesterol not cause heart disease, low cholesterol can actually be dangerous to your health. So toss out your vegetable oil and start eating butter and eggs again! But more on that next week…

Recommended links

• Handouts from my recent public talk on cholesterol
• Dr. Uffe Ravnskov’s “The Cholesterol Myths”
• The International Network of Cholesterol Skeptics

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In fact, these drugs have a reputation for being so safe and effective that one UK physician, John Reckless (I’m not kidding - that’s actually his name!) has suggested that we put statins in the water supply.

That’s a bold suggestion, of course, and it begs the question: are statins really as safe and cost effective as mainstream medical authorities claim? The unequivocal answer is no.

Statins don’t increase survival in healthy people

Statins have never been shown to be effective in reducing the risk of death in people with no history of heart disease. No study of statins on this “primary prevention population” has ever shown reduced mortality in healthy men and women with only an elevated serum cholesterol level and no known coronary heart disease. (CMAJ. 2005 Nov 8;173(10):1207; author reply 1210.) In fact, an analysis of large, controlled trials prior to 2000 found that long-term use of statins for primary prevention of CHD produced a 1% greater risk of death over 10 years compared to placebo

Statins don’t increase survival in women

Despite the fact that around half of the millions of statin prescriptions written each year are handed to female patients, these drugs show no overall mortality benefit regardless of whether they are used for primary prevention (women with no history of heart disease) or secondary prevention (women with pre-existing heart disease). In women without coronary heart disease (CHD), statins fail to lower both CHD and overall mortality, while in women with CHD, statins do lower CHD mortality but increase the risk of death from other causes, leaving overall mortality unchanged. (JAMA study)

Statins don’t increase survival in the elderly

The only statin study dealing exclusively with seniors, the PROSPER trial, found that pravastatin did reduce the incidence of coronary mortality (death from heart disease). However, this decrease was almost entirely negated by a corresponding increase in cancer deaths. As a result, overall mortality between the pravastatin and placebo groups after 3.2 years was nearly identical.

This is a highly significant finding since the rate of heart disease in 65-year old men is ten times higher than it is in 45-year old men. The vast majority of people who die from heart disease are over 65, and there is no evidence that statins are effective in this population.

Do statins work for anyone?

Among people with CHD or considered to be at high risk for CHD, the effect of statins on the incidence of CHD mortality ranges from virtually none (in the ALLHAT trial) to forty-six percent (the LIPS trial). The reduction in total mortality from all causes ranges from none (the ALLHAT trial) to twenty-nine percent (the 4S trial).

However, the use of statins in this population is not without considerable risk. Statins frequently produce muscle weakness, lethargy, liver dysfunction and cognitive disturbances ranging from confusion to transient amnesia. They have produced severe rhabdomyolysis that can lead to life-threatening kidney failure.

Aspirin just as effective as statins (and 20x cheaper!)

Perhaps the final nail in the coffin for statins is that a recent study in the British Medical Journal showed that aspirin is just as effective as statins for treating heart disease in secondary prevention populations - and 20 times more cost effective! Aspirin is also far safer than statins are, with fewer adverse effects, risks and complications.

So what if you are at risk for heart disease and you’d prefer not to take a statin? Other than aspirin, there are many clinically proven ways to prevent heart disease involving simple adjustments to diet and lifestyle. In fact, the recent INTERHEART study which looked at the incidence of heart disease in 52 countries revealed that over 90% of heart disease is preventable by diet and lifestyle modifications.

I’ll discuss these natural methods of preventing heart disease in my next post. Stay tuned!

Recommended links

• Dangers of statin drugs: what you haven’t been told about cholesterol-lowering drugs
• The effect of statins is not due to cholesterol lowering

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Today’s article about the dangers of soy products is from Nourishing Our Children, an organization dedicated to supported learning, behavior and health in children through optimal nutrition. I encourage all parents to visit their website and read the “What Parents Need to Know” section. There is also a downloads section with free guides and briefing books available for download.

Although widely promoted as a health food, hundreds of studies link modern processed soy to malnutrition, digestive problems, thyroid dysfunction, cognitive decline, reproductive disorders, immune system breakdown, and even heart disease and cancer. How could soy be linked to all this disease? Because the soybean contains many naturally occurring toxins. All legumes contain toxins but the problem with soy is that the toxins are found in very high levels and are resistant to the traditional ways of getting rid of them.

Long, slow fermentation (as in the traditional production of miso, tempeh and soy sauce) gets rid of the phytic acid and other digestive inhibitors but not the phytoestrogens in soy.

Myths About Isoflavones

One of the most common myths is that soy estrogens (isoflavones) are beneficial for your health. Isoflavones are the estrogen-like compounds occurring naturally in soy foods. They act as the plant’s natural pesticides, causing insects to become sterile. Research has shown that isoflavones can prevent ovulation and stimulate the growth of cancer cells. As little as 38 mg isoflavones per day (less than the amount found in 1 cup of soy milk) can result in hypothyroidism with symptoms of lethargy, constipation, weight gain and fatigue. The isoflavones in soy have been shown to cause reproductive problems, infertility, thyroid disease and liver disease in mice, rats, cheetahs, sturgeon, quail, sheep, pigs and marmoset monkeys.

Traditional Versus Modern Soy Foods

It is important to distinguish between traditional and modern soy foods. In Asia, traditional soy foods were consumed in small amounts, usually as a fermented condiment. Traditional fermented soy foods include miso, soy sauce, tempeh and natto. Tofu was prepared by a precipitation process that gets rid of some of the anti-nutrients, and tofu was often then fermented. Tofu was usually consumed in small amounts in fish broth, which provided lots of compensating minerals and compounds that support thyroid function.

Soymilk underwent a very long preparation process to get rid of anti-nutrients and it was consumed with shrimp or egg yolk, ingredients that helped compensate for the many anti-nutrients that remained. Mostly a food for the elderly, it was sometimes given to nursing mothers but never to growing children.

Problems with Soy Protein Isolate

Modern soy foods are very different. Most are made with soy protein isolate (SPI), which is a protein-rich powder extracted by an industrial process from the waste product of soy oil manufacturing. It is the industry’s way of making a profit on a waste product. The industry spent over 30 years and billions of dollars developing SPI.

Soy Protein Isolate is produced at very high temperatures and pressures. This processing does get rid of some of the anti-nutrients in soybeans, but unfortunately many of the proteins are denatured in the process, including lysine. That is why growing animals fed soy must be given a lysine supplement. In feeding studies, SPI caused many deficiencies in rats. That soy causes deficiencies in B12 and zinc is widely recognized; but the range of deficiencies was surprising.

Although SPI is added to many foods, it was never granted GRAS status, meaning “Generally Recognized as Safe”. The FDA only granted GRAS status to SPI for use as a binder in cardboard boxes. During the processing of soy, many additional toxins are formed, including nitrates (which are carcinogens) and a toxin called lysinoalanine. It was concerns about lysinoalanine in SPI that led the FDA to deny GRAS status for SPI as a food additive.

In spite of all these problems, SPI is the basic ingredient of soy infant formula and the FDA even allows a health claim for foods containing 6.25 grams SPI per serving.

The Dangers of Soy Infant Formula

Infants on soy formula can take in dangerously high levels of soy isoflavones. On a body weight basis, this can mean ten times the level that can cause thyroid suppression in adults after three months, and eight times the level that can cause hormonal changes in adults after just one month.

According to a Swiss report adult women consuming 100 mg isoflavones (about 2 cups of soy milk, or 1 cup of cooked mature soybeans) provide the estrogenic equivalent of a contraceptive pill.

This means for a baby that weighs 6 kg (or just over 13 pounds), 10 mg provides the estrogenic equivalent of a contraceptive pill. Thus, the average amount of soy-based formula taken in by a child provides the estrogenic equivalent of at least four birth control pills. Because babies are more vulnerable than adults to the effects of dietary estrogens, the effects could actually be much greater than that of four birth control pills.

Hence the statement, “Babies on soy formula receive the estrogenic equivalent of at least five birth control pills per day.”

Homemade Baby Formula

For adopted infants, or as a solution for mothers who aren’t physically able to breastfeed or who aren’t able to produce enough milk, we’d like parents to know that there are nutrient dense, homemade Baby Formula Recipes in the book Nourishing Traditions which have been used with great success by parents all over the world since 1995!

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I am offering a free public talk next week in Berkeley, CA which debunks the myth that cholesterol causes heart disease. We’ll also explore the true causes of heart disease as well as simple dietary and lifestyle changes you can make to protect yourself and your loved ones. See below for details. Hope to see you there!

Wednesday, May 21st from 7:00 - 9:00 PM
Acupuncture & Integrated Medicine College, Berkeley (AIMC Berkeley)
2550 Shattuck Avenue (at Blake)
10-minute walk south on Shattuck from Downtown Berkeley BART
510.666.8248 ext. 106
www.aimc.edu

For over 50 years, the medical establishment has vigorously promoted the notion that high cholesterol is a primary risk factor for coronary heart disease, and that a diet high in saturated fat and cholesterol causes heart disease. These hypotheses are widely accepted as fact by physicians and the general public alike, despite the overwhelming body of evidence that suggests otherwise.

During this two-hour talk, we’ll review scientific studies demonstrating that:

1. High cholesterol doesn’t cause heart disease
2. Low cholesterol worsens your physical and mental health and increases your chances of dying prematurely
3. Diets high in saturated fat and cholesterol don’t cause heart disease, but they do promote health and longevity
4. Consumption of so-called “heart healthy” vegetable oils is linked to heart disease, cancer and many other conditions

You’ll also learn the latest theories on what causes heart disease and a truly “heart healthy” approach to diet and lifestyle that is supported by both modern science and centuries of traditional wisdom.

The presentation draws on more than 150 peer-reviewed studies published in major journals and the work of an impressive list of physicians, scientists and researchers who question the connection between cholesterol and heart disease.

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“I recently learned that green tea and black tea are very high in fluoride because they pull it from the ground… can you say more about this?”

As a tea drinker myself, I wish I could tell you that this is a myth. Unfortunately, it’s all too true. And although medical authorities continue to tell us that fluoride is a harmless substance which prevents dental caries and tooth decay, a large body of scientific research says otherwise.

Fluorides are toxins that accumulate in the body over time. That’s why the Surgeon General has established limits for maximum fluoride content in our drinking water which are regulated by the EPA. This limit was set in order to avoid a condition known as Crippling Skeletal Fluorosis (CSF). The limit of four parts per million (ppl) or 4 mg/liter was designed to prevent only the third and most serious stage of CSF, where the extremities become weak and the vertebrae partially fuse together, crippling the patient. Yet studies published by the World Health Organization (1970) have shown that a daily dose of even 2-8 mg/L of fluoride can cause third-stage CSF!

For a more thorough discussion of the dangers of fluoride, I recommend reading this article