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John_Yudkin_-_Pure_White_and_Deadly_revised_1986_OCR

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<strong>Pure</strong>, <strong>White</strong> <strong>and</strong> <strong>Deadly</strong><br />

the liver - that is, an increase in the sort of 'scar tissue' that precedes<br />

the development of cirrhosis of the liver. This research was carried<br />

out by a group of scientists led by Dr Charles Best, who was one of<br />

the people responsible for the discovery of insulin in 1921. Other<br />

researchers have repeated the work of Best <strong>and</strong> his colleagues <strong>and</strong><br />

produced the same results.<br />

All of this earlier work was done with rather special diets lacking<br />

particular nutrients. That is why the research team at Queen<br />

Elizabeth College has been looking at the effects of our routine<br />

diets, which are not deficient in any obvious way, <strong>and</strong> differ only in<br />

whether or not the carbohydrate part of the diet includes sugar. The<br />

most recent experiments have used extremely sensitive biochemical<br />

analyses to detect in the blood <strong>and</strong> in the liver the chemical fragments<br />

that the body uses to build up the collagen that is increased<br />

in liver fibrosis. Collagen, which exists in several forms of slightly<br />

different chemical structure, is the protein that is present in the<br />

walls of the body's cells, <strong>and</strong> also makes up a great part of the<br />

connective tissue that exists in the sinews or tendons, in cartilage<br />

<strong>and</strong> bone <strong>and</strong> in scar tissue. Our research has revealed that in sugarfed<br />

rats there is a distinct increase in these fragments, both in the<br />

blood <strong>and</strong> in the liver, long before it is possible to detect fibrosis in<br />

the liver with the microscope. The same increase is seen in rats with<br />

diabetes <strong>and</strong> in human subjects with cirrhosis of the liver caused by<br />

chronic alcoholism.<br />

Is there a link hetween sugar <strong>and</strong> cancer?<br />

There are some cancers that appear to have become<br />

more common in the last 50 or 60 years, <strong>and</strong> that also appear to be<br />

more common in the affluent than in the poorer countries. So I<br />

thought it might be worth while to see whether there was any<br />

relationship between the numbers dying from these cancers in<br />

several countries, <strong>and</strong> the amounts of sugar that their popUlations<br />

consumed.<br />

The usual snags faced us with the epidemiological studies. How<br />

many countries are there that keep proper records of the causes of<br />

death in their populations? Even where records are kept, how sure<br />

can you be that the diagnosis of cancer is correctly made, or made<br />

on exactly the same criteria, in different countries?<br />

Some sorts of cancer can be diagnosed fairly readily; others are<br />

136<br />

A host of diseases<br />

often misdiagnosed. Because of this, we gave most attention to three<br />

or four where the experts tell me that there is a reasonably good<br />

chance of correct diagnosis.<br />

The evidence at present comes chiefly from a study of international<br />

statistics <strong>and</strong> takes the form of an association between the<br />

average sugar consumption in different countries, <strong>and</strong> the incidence<br />

of tW9 or three particular forms of cancer. The cancers that seem<br />

most likely to be related to sugar consumption are cancer of the large<br />

intestine in men <strong>and</strong> in women, <strong>and</strong> cancer of the breast in women.<br />

The death-rate for these three cancers in different countries is quite<br />

closely associated with average sugar consumption, to about the<br />

same extent in fact as the association between sugar consumption or<br />

fat consumption with the death-rate due to coronary disease. An<br />

example is found in the international statistics for 1977-9 for breast<br />

cancer deaths in women over 65. The five countries with the highest<br />

rates are, in descending order, the UK, the Netherl<strong>and</strong>s, Irel<strong>and</strong>,<br />

Denmark <strong>and</strong> Canada; the highest levels of sugar consumption,<br />

again in descending order, are in the UK, the Netherl<strong>and</strong>s, Irel<strong>and</strong>,<br />

Canada <strong>and</strong> Denmark. On the other h<strong>and</strong>, the lowest mortality, in<br />

ascending order, is in Japan, Yugoslavia, Portugal, Spain <strong>and</strong> Italy,<br />

with the lowest sugar consumption in Japan, Portugal, Spain,<br />

Yugoslavia <strong>and</strong> Italy.<br />

My own observations of the association between sugar <strong>and</strong> cancer<br />

of the intestine <strong>and</strong> of the breast were made several years earlier<br />

than the study I have just quoted. I calculated what are called the<br />

'correlation coefficients' between these cancers <strong>and</strong> sugar consumption<br />

in all the countries for which statistics were then available.<br />

Let me explain first what correlation coefficients are, <strong>and</strong> let me<br />

take as an example the relation between people's height <strong>and</strong> weight.<br />

On the whole, the taller people are, the more they weigh. But it is<br />

all very well to say that there is 'on the whole' this association<br />

between height <strong>and</strong> weight; it would be better if we could say how<br />

close this association is. Supposing that it was a precise <strong>and</strong> exact<br />

association, so that the person who was only a little taller than<br />

another would inevitably be heavier, <strong>and</strong> one still taller would be<br />

still heavier. If this were so, you would say that the correlation<br />

coefficient was 1'0.<br />

Supposing on the other h<strong>and</strong> - <strong>and</strong> this is even more unlikely -<br />

that there was no relationship whatever between height <strong>and</strong> weight,<br />

so that it would be just as likely for a man weighing 150 pounds to<br />

be five feet tall or six feet tall. In this case the correlation coefficient<br />

137

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