The mean consumption of 62 food items from the FAOSTAT database (1993–2008) was compared with the actual statistics of five CVD [CVD=Cardio-Vascular Disease] indicators in 42 European countries. Several other exogenous factors (health expenditure, smoking, body mass index) and the historical stability of results were also examined.
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The most significant dietary correlate of low CVD risk was high total fat and animal protein consumption.
Additional statistical analyses further highlighted citrus fruits, high-fat dairy (cheese) and tree nuts. Among other non-dietary factors, health expenditure showed by far the highest correlation coefficients.
The major correlate of high CVD risk was the proportion of energy from carbohydrates and alcohol, or from potato and cereal carbohydrates. Similar patterns were observed between food consumption and CVD statistics from the period 1980–2000, which shows that these relationships are stable over time.
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Our results do not support the association between CVDs and saturated fat, which is still contained in official dietary guidelines. Instead, they agree with data accumulated from recent studies that link CVD risk with the high glycaemic index/load of carbohydrate-based diets. In the absence of any scientific evidence connecting saturated fat with CVDs, these findings show that current dietary recommendations regarding CVDs should be seriously reconsidered.
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Low cholesterol levels correlate most strongly with the proportion of plant food energy in the diet (r=−0.87, p less than 0.001 in both sexes) and with sources of plant carbohydrates represented by items such as % PC CARB energy (r=−0.87 in men, r=−0.83 in women; p less than 0.001) (Fig. 2), % CA energy (r=−0.85 in men, r=−0.81 in women; p less than 0.001), and cereals (r=−0.74 in men, r=−0.73 in women; p less than 0.001). Smoking correlates quite strongly with lower cholesterol as well, but in men only (r=−0.62, p less than 0.001).
Remarkably, the relationship of raised cholesterol with CVD risk is always negative, especially in the case of total CVD mortality (r=−0.69 in men, r=−0.71 in women; p less than 0.001)
Discussion
Raised cholesterol correlates negatively with CVD risk
The results of our study show that animal fat (and especially its combination with animal protein) is a very strong predictor of raised cholesterol levels. This is in accordance with the meta-analyses of clinical trials, which show that saturated animal fat is the major trigger of raised cholesterol (6, 16). Interestingly, the relationship between raised cholesterol and CVD indicators in the present study is always negative. As shown in Figs. 3 and and Supplementary Figs. 1 and 2, this finding is visually less persuasive in the case of CVD mortality, where factors such as the quality of healthcare come to the foreground, but it is quite unambiguous in the case of women's raised blood pressure.
The negative relationship between raised cholesterol and CVD may seem counterintuitive, but it is not at variance with the available evidence. The largest of the recent worldwide meta-analyses dealing with cholesterol and CVD risk (17) observed a positive relationship between raised cholesterol and CVD mortality at younger ages, but this association gradually started to reverse in seniors, where the number of deaths is the highest. In fact, the relationship between raised cholesterol and stroke mortality in seniors was slightly negative. Both this study and other studies dealing with blood profiles of patients hospitalised with CVD events (18–22) demonstrate that low HDL (high-density lipoprotein associated) cholesterol (around ~1.0 mmol/L), or high total cholesterol: HDL-cholesterol ratio are the best indicators of CVD risk. Total cholesterol is usually normal or slightly elevated (4.5–5.5 mmol/L), and hence it cannot serve as a predictor of CVD events. Some other authors also point to high plasma triglycerides (which correlate with low HDL-cholesterol levels) (23), or to the ratio between triglycerides and HDL-cholesterol (24) as another useful risk indicators.
In this context it is important to note that saturated fat is not only the key trigger of high total cholesterol, but even high HDL-cholesterol and LDL (low-density lipoprotein associated)-cholesterol (16). Saturated fat also decreases triglyceride levels, but the total cholesterol: HDL-cholesterol ratio remains stable. The main sources of saturated fatty acids are red meat and milk products (whole fat milk, cheese, butter) (see Supplementary Table 1). Therefore, in Europe, where the consumption of animal products is the highest in the world, we can assume a strong connection between total cholesterol and HDL-cholesterol. Understandably, this relationship may not be so strong outside Europe and it may also vary depending on the individual diet. This could explain regional and individual differences in the relationship between total cholesterol and CVD risk.
Although the concurrent increase of LDL-cholesterol levels is often taken out of context and used as an argument against the intake of saturated fats in dietary recommendations (25), saturated fat is primarily tied to the less dense, large LDL particles (26), whereas cardiovascular risk is connected with the denser, small LDL particles (27), which accompany carbohydrate-based diets. There is also no evidence that the reduction of saturated fat intake (on its own) would decrease CVD risk (28). On the other hand, it is true, that so far, there is no clear evidence that saturated fat would be beneficial for the prevention of CVD. The only possible exception among the sources of saturated fat is dairy (29–31).
Major correlates of high CVD risk
Carbohydrates
The results of our study show that high-glycaemic carbohydrates or a high overall proportion of carbohydrates in the diet are the key ecological correlates of CVD risk. These findings strikingly contradict the traditional ‘saturated fat hypothesis’, but in reality, they are compatible with the evidence accumulated from observational studies that points to both high glycaemic index and high glycaemic load (the amount of consumed carbohydrates × their glycaemic index) as important triggers of CVDs (1, 32–34). The highest glycaemic indices (GI) out of all basic food sources can be found in potatoes and cereal products (Supplementary Table 2), which also have one of the highest food insulin indices (FII) that betray their ability to increase insulin levels.
The role of the high glycaemic index/load can be explained by the hypothesis linking CVD risk to inflammation resulting from the excessive spikes of blood glucose (‘post-prandial hyperglycaemia’) (35). Furthermore, multiple clinical trials have demonstrated that when compared with low-carbohydrate diets, a low-fat diet increases plasma triglyceride levels and decreases total cholesterol and HDL-cholesterol, which generally indicates a higher CVD risk (36, 37). Simultaneously, LDL-cholesterol decreases as well and the number of dense, small LDL particles increases at the expense of less dense, large LDL particles, which also indicates increased CVD risk (27). These findings are mirrored even in the present study because cereals and carbohydrates in general emerge as the strongest correlates of low cholesterol levels.
Discrepancy in the old statistics: The root of the ‘saturated fat hypothesis’?
The paradoxical results of our historical comparison (men's statistics from 1980 and 1990) have an interesting analogy in the ‘Seven Countries Study’, which stood behind the current ‘saturated fat paradigm’. The authors of this longitudinal ecological research, finished in the early 1980s, concluded that men's CHD [CHD=Coronary Heart Disease] mortality in seven countries correlated positively with high blood pressure, high cholesterol, and high saturated fat intake, but the relationship of high blood pressure and high cholesterol with men's stroke mortality (in 12 cohorts from six countries) was strongly negative (54). Because CHD mortality was the central CVD [CVD=Cardio-Vascular Disease] indicator in this study, we think that the authors did not pay sufficient attention to this discrepancy and they contented themselves with the fact that stroke mortality was positively associated with high blood pressure at the individual level. Ironically, in the following decades, the ecological relationship of CHD with risk factors completely reversed.
...Second, the effect of increased longevity in highly developed countries, after the eradication of serious infectious diseases after World War II, led to a temporary epidemic of CVDs, which also coincided with rapidly improving living standards and the increasing consumption of animal food. Because of the chronic nature of CVDs, this dietary change may have brought health benefits only after several decades and as a result, the relationship of CVD indicators to animal products has reversed with a certain delay (Supplementary Figs. 42–47). In the eastern half of Europe, this phenomenon started to fully manifest only very recently (possibly in combination with heavy alcohol drinking), which led to the increase of CVD rates.
The obvious fallacy of the ‘saturated fat hypothesis’ can be demonstrated by the example of France – a country with the highest intake of animal fat in the world and the second lowest CVD mortality (after Japan) (56). In fact, if we use a limited sample of 24 countries (without the former republics of USSR, Czechoslovakia and Yugoslavia, and Luxembourg), a summary mean of food consumption from the last half-century (1961–2008) produces very similar results like the mean for the period 1993–2008 (Table 4), reaching r=0.82 between % CA [CA=carbohydrates] energy and raised blood pressure in women.
In their study, the research team explores the link between calorie restriction (eating less or fasting) and delaying aging, which is unknown and has been poorly studied. The findings are published in the journal Molecular Cell.
The researchers identified an important, small molecule that is produced during fasting or calorie restriction conditions. The molecule, β-Hydroxybutyrate, is one type of a ketone body, or a water-soluble molecule that contains a ketone group and is produced by the liver from fatty acids during periods of low food intake, carbohydrate restrictive diets, starvation and prolonged intense exercise.
The researchers reported that β-Hydroxybutyrate delays vascular aging by providing a chemical link between calorie restriction and fasting and the anti-aging effect.
This compound can delay vascular aging of the endothelial cells, which line the interior surface of blood vessels and lymphatic vessels, preventing a type of cell aging called senescence, or cellular aging.
Senescent cells can no longer multiple and divide. The researchers found β-Hydroxybutyrate can promote cell division and prevent these cells from becoming old. Because this molecule is produced during calorie restriction or fasting, when people overeat or become obese this molecule is possibly suppressed, which would accelerate aging.
In addition, the researchers found when β-Hydroxybutyrate binds to a certain RNA-binding protein, this increases activity of a stem cell factor called Octamer-binding transcriptional factor (Oct4) in vascular smooth muscle and endothelial cells in mice.
Stem cell factor Oct4 increases a key factor against DNA damage-induced senescence, which can keep blood vessels young.
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| Example of a ketogenic (high fat low carb) dish. Ketogenic diet has been described by some as BBB diet, meaning Butter, Bacon and Brie. It is not limited to that! |
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| From Wiki |
RESULTS:
During 12 y of follow-up, 1807 IHD events occurred. Total SFA intake was associated with a lower IHD risk (HR per 5% of energy: 0.83; 95% CI: 0.74, 0.93). Substituting SFAs with animal protein, cis monounsaturated fatty acids, polyunsaturated fatty acids (PUFAs), or carbohydrates was significantly associated with higher IHD risks (HR per 5% of energy: 1.27-1.37). Slightly lower IHD risks were observed for higher intakes of the sum of butyric (4:0) through capric (10:0) acid (HRSD: 0.93; 95% CI: 0.89, 0.99), myristic acid (14:0) (HRSD: 0.90; 95% CI: 0.83, 0.97), the sum of pentadecylic (15:0) and margaric (17:0) acid (HRSD: 0.91: 95% CI: 0.83, 0.99), and for SFAs from dairy sources, including butter (HRSD: 0.94; 95% CI: 0.90, 0.99), cheese (HRSD: 0.91; 95% CI: 0.86, 0.97), and milk and milk products (HRSD: 0.92; 95% CI: 0.86, 0.97).
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Compared with participants without the MetSyn [Metabolic Syndrome], those with the MetSyn had a higher CVD [Cardio Vascular Disease] event rate. However, among participants with the MetSyn, CVD rates were similar for groups with an elevated versus a lower number of small LDL particles (defined by the sex-specific median).
Conclusions— Small LDL particle number is elevated in the MetSyn, increases with the number of MetSyn components, and most prominently is correlated with triglycerides and HDL-C. Whereas increased small LDL particle number identified the MetSyn with high sensitivity, a higher small LDL particle number was not associated with greater CVD event rates in people with the MetSyn.
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Bryant Webber and colleagues analyzed autopsy reports and available health data from 3,832 service members who died of combat or unintentional injuries in Afghanistan and Iraq and compared their findings to similar studies performed during the Korean and Vietnam wars. 8.5% of the newest group had evidence of coronary atherosclerosis, compared with 77% in the Korean War group and 45% in the Vietnam War group.
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Surprisingly, cigarette smoking was not significantly associated with atherosclerosis in this study.
